AWS Certification Training Courses

Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS Cloud Practitioner Training Course Overview

Module 1: Cloud Overview

  • Cloud Computing and Virtualisation
  • AWS Cloud
  • AWS Platform Architecture
  • Scalability and Elasticity

Module 2: Understand AWS Environment

  • AWS Global Infrastructure
  • AWS Shared Responsibility Model

Module 3: Securing AWS Resources

  • AWS Identity and Access Management
  • Encryption
  • Regulatory Compliance (AWS Artefact)

Module 4: Working with AWS Resources

  • AWS Management Console
  • AWS Command Line Interface
  • Cloud Watch
  • CloudTrail
  • Cost Explorer

Module 5: Core Compute Services

  • Deploying Amazon Elastic Compute Cloud Servers
  • Simplified Deployments through Managed Services

Module 6: Core Storage Services

  • Simple Storage Services
  • Amazon Glacier
  • AWS Storage Gateway
  • AWS Snowball

Module 7: Core Database Services

  • Database Models
  • Amazon Relational Database Service
  • DynamoDB

Module 8: Core Networking Services

  • Virtual Private Cloud
  • Route 53
  • CloudFront

Module 9: Automating AWS Workloads

  • Cloud Formation
  • AWS Developer Tools
  • EC2 Auto Scaling

Module 10: Common Use Scenarios

  • Well-Architected Framework

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Who should attend this AWS Cloud Practitioner Training?

This AWS Cloud Practitioner Certification Course is designed for individuals who are interested in gaining a foundational understanding of cloud computing and Amazon Web Services (AWS). This course can be beneficial to a wide range of professionals, including:

  • Aspiring Cloud Professionals
  • Data Scientists
  • Machine Learning Engineers
  • Developers
  • Business Analysts
  • Business Leaders
  • Entrepreneurs

Prerequisites of the AWS Cloud Practitioner Training

There are no formal prerequisites for attending the AWS Cloud Practitioner Certification Course.

AWS Cloud Practitioner Training Course Overview

The AWS Cloud Practitioner Course by The Knowledge Academy offers a comprehensive introduction to Cloud Computing. Cloud technology has become pivotal for thriving businesses, making this course highly relevant. It equips delegates with the foundational knowledge to navigate the AWS cloud environment effectively.

Proficiency in AWS Cloud is vital for IT Professionals, Developers, and Business Decision-makers. It empowers them to harness the full potential of Cloud Computing, driving innovation, cost-efficiency, and scalability across diverse industries.

The Knowledge Academy’s 1-day AWS Cloud Practitioner Training Course helps delegates gain a deep understanding of AWS cloud services and effective utilisation. In this training, you'll learn to work with AWS resources, understand the core database services, and automate AWS workloads. Our experienced trainers, with a wealth of training expertise, will guide you through this course.

Course Objectives

  • To get in-depth knowledge about Cloud Computing and virtualisation
  • To understand the shared responsibility model for AWS resources
  • To attain knowledge of cost optimisation and analysis using AWS Cost Explorer
  • To utilise Amazon Simple Storage Service (S3) for scalable object storage
  • To explore load balancing techniques using Elastic Load Balancer
  • To use Amazon Relational Database Service (RDS) for managed relational databases

After attending this AWS Certification Course, delegates will be able to deploy and manage Amazon Elastic Compute Cloud (EC2) instances. They will also be able to create and manage Virtual Private Cloud (VPC) environments.

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What’s included in this AWS Cloud Practitioner Training?

  • World-Class Training Sessions from Experienced Instructors  
  • AWS Cloud Practitioner Certificate
  • Digital Delegate Pack   

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS AI Practitioner Training Course Outline

Domain 1: Fundamentals of AI And ML

  • Explain Basic AI Concepts and Terminologies
  • Identify Practical Use Cases For AI
  • Describe the ML Development Lifecycle

Domain 2: Fundamentals of Generative AI

  • Explain the Basic Concepts of Generative AI
  • Capabilities and Limitations of Generative AI for Solving Business Problems
  • AWS Infrastructure and Technologies for Building Generative AI Applications

Domain 3: Applications of Foundation Models

  • Describe Design Considerations for Applications That Use Foundation Models
  • Choose Effective Prompt Engineering Techniques
  • Describe the Training and Fine-Tuning Process for Foundation Models
  • Describe Methods to Evaluate Foundation Model Performance

Domain 4: Guidelines for Responsible AI

  • Explain the Development of AI Systems That Are Responsible
  • Recognise the Importance of Transparent and Explainable Models

Domain 5: Security, Compliance, And Governance for AI Solutions

  • Explain Methods to Secure AI Systems
  • Recognise Governance and Compliance Regulations for AI Systems

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Who should attend this AWS AI Practitioner Course? 

This AWS AI Practitioner Training Course is ideal for individuals eager to deepen their understanding and expertise in artificial intelligence technologies and their applications within the AWS ecosystem. It is particularly beneficial for: 

  • AI and ML Developers 
  • Data Scientists 
  • Cloud Solutions Architects 
  • IT Managers and Directors 
  • Software Engineers 
  • Business Analysts
  • IT Professionals
  • Technology Consultants

Prerequisites of AWS AI Practitioner Course

There are no formal prerequisites to attend this AWS AI Practitioner Course.

AWS AI Practitioner Training Course Overview

AWS, or Amazon Web Services, is a comprehensive and widely adopted cloud platform, offering over 200 fully featured services from data centres globally. Its importance stems from its ability to provide scalable and efficient solutions that power a variety of applications and systems across many industries. For organisations, this training enhances the ability to innovate with AI technologies, leveraging AWS's robust and secure infrastructure. For individuals, it offers crucial skills development in AI and ML, making them valuable assets in tech-driven workplaces. Ultimately, delegates who complete this training position themselves for advanced career opportunities in the rapidly evolving field of artificial intelligence.

In this AWS AI Practitioner Training course, delegates will dive deep into the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML), exploring the latest technologies and methodologies used in AI development on the AWS platform. The training covers a broad range of topics, from basic AI concepts to advanced applications using generative and foundation models, ensuring a comprehensive understanding of the subject matter.

Course Objectives:

  • To explain basic AI concepts and terminologies
  • To identify practical use cases for AI
  • To describe the ML development lifecycle
  • To explore generative AI capabilities and limitations
  • To apply AWS technologies in AI projects
  • To understand prompt engineering techniques
  • To develop responsible AI systems

After attending this training, delegates will be equipped with the skills to effectively design, develop, and deploy AI solutions using AWS technologies. They will be able to navigate the complexities of AI systems, from conceptualisation to implementation, ensuring these systems are both effective and ethically responsible.

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What’s included in this AWS AI Practitioner Training Course?

  • World-Class Training Sessions from Experienced Instructors 
  • AWS AI Practitioner Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS Solutions Architect Training​ Course Outline

Module 1: Introduction to AWS and Cloud Computing

  • Cloud Computing
  • Virtualisation
  • Characteristics of Virtualisation
  • AWS Cloud
  • AWS Platform Architecture

Module 2: Amazon EC2 and Elastic Block Store

  • EC2
  • EC2 Instance

Module 3: Amazon S3 and Amazon Glacier Storage

  • S3
  • Amazon Glacier
  • Other Storage Services

Module 4: Amazon Virtual Private Cloud

  • Introduction
  • Subnets
  • VPC CIDR Blocks
  • Elastic Network Interfaces
  • Internet Gateways and Route Tables
  • Security Groups and Network Access Control Lists
  • Elastic IP Addresses
  • Network Addresses Translation Devices
  • VPC Peering

Module 5: Database

  • Relational Database 
  • Amazon Relational Database Service
  • Amazon Redshift 
  • Nonrelational (NoSQL) Databases 
  • DynamolDB

Module 6: Authentication and Authorisation

  • Introduction
  • IAM Identities

Module 7: CloudTrail, AWS Config, and CloudWatch

  • CloudTrail
  • CloudWatch
  • AWS Config

Module 8: Domain Name System and Network Routing

  • Domain Name System
  • Amazon Route 53
  • Amazon CloudFront

Module 9: Reliability Pillar

  • Calculating Availability
  • EC2 Auto Scaling
  • Data Backup and Recovery
  • Components of Reliability
  • Designing for Availability

Module 10: Performance Efficiency Pillar

  • Optimising Performance for the Core AWS Services
  • Infrastructure Automation

Module 11: Security Pillar

  • Identity and Access Management
  • Detective Controls
  • Protecting Network Boundaries
  • Data Encryption

Module 12: Cost Optimisation Pillar

  • Cost-Optimising Compute
  • Choose the Right Pricing Models

Module 13: Operational Excellence

  • CloudFormation
  • CodeCommit
  • CodeDeploy
  • CodePipeline
  • AWS Systems Manager

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Who should attend this AWS Associate Solutions Architect Training Course?

The AWS Associate Solutions Architect Course is suitable for professionals who want to get better at creating Architecture Solutions for the AWS Platform. This course can be beneficial to various professionals, including:

  • Solution Architects
  • Cloud Architects
  • DevOps Engineers
  • echnical Project Managers
  • Business Analysts
  • Network Engineers
  • Database Administrators

Prerequisites of the AWS Associate Solutions Architect Training Course

There are no formal prerequisites for this AWS Associate Solutions Architect Training Course. However, a basic understanding of Solution Architecture can be beneficial to the delegates.

AWS Associate Solutions Architect Training Course Overview

Solution Architects are crucial in building, designing, maintaining, and deploying AWS infrastructure and business applications. Gaining AWS knowledge helps delegates understand networking concepts like network address translation, VPC, and EC2. This AWS Associate Solutions Architect Certification not only showcases expertise in cloud architecture but also enhances professional credibility in a competitive job market.

This AWS Associate Solutions Architect Training is the perfect course for beginners in the IT domain who wish to kickstart their career. Delegates learn to deploy, manage, and operate workloads on AWS and to implement security controls effectively with this course. Mastering this AWS Associate Solutions Architect Certification Course is vital for those looking to contribute to their organisations' digital transformation strategies.

The Knowledge Academy’s 2-day AWS Associate Solutions Architecture Training Course, delegates will delve deep into Amazon Web Services (AWS) and its diverse cloud offerings. This comprehensive training covers key topics such as Amazon's simple storage service, glacier storage, AWS cloud, platform architecture, virtual private cloud, Amazon Redshift, and AWS config.

Course Objectives

  • To understand the foundational principles and best practices of cloud computing within the AWS ecosystem
  • To develop proficiency in designing scalable, reliable, and cost-efficient architectures using AWS services and features
  • To comprehend the integration and utilisation of AWS services to meet specific business and application requirements effectively
  • To learn how to make informed decisions regarding AWS service selection based on application, data, and security requirements
  • To gain expertise in optimising AWS deployments to maximise performance and minimise costs while maintaining high availability and scalability

After completing this training course, delegates will be able to plan, design, and scale AWS cloud computing services. They will also be able to pass the Associate-Level AWS Solutions Architect Certification exam. Delegates can expand their AWS skills with The Knowledge Academy’s wide range of AWS Courses.

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What’s included in this AWS Associate Solutions Architect Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Associate Solutions Architect Certificate
  • Digital Delegate Pack

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Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

AWS Professional Solutions Architect Training​ Course Outline

Module 1: Design for Organisational Complexity

  • Overview
  • Managing Multiple AWS Accounts in an Organisation
  • Security and Access Controls for a Multi-Account Structure
  • Using S3 Requester Pays and Bucket Policies
  • Multi-Account Infrastructure Management
  • Multi-Account Network Configuration
  • Configuring DNS Resolution for the Servers

Module 2: Design for New Solutions

  • Using Amazon AppStream 2.0/Amazon Workspaces for Remote Desktop Operations
  • Using Amazon Connect, Amazon Lex, and Amazon Polly for Chat and Call Functionality
  • Using Amazon WorkDocs for Secure Document Management and Collaboration
  • Implementing DDoS Resiliency in AWS
  • Configuring DNSSEC for a Domain in Route 53
  • Configuration Management in AWS with AWS OpsWorks Stacks
  • Processing Large Product Catalogues Using Amazon Mechanical Turk and Amazon SWF
  • Using Lambda@Edge for Low Latency Access to the Applications
  • Setting Up and ELK (ElasticSearch, Logstash, and Kibana) Stack Using Amazon ES
  • Data Analytics and Visualisation Using Amazon Athena and Amazon ES
  • Using AWS Transfer Family for FTP Use Cases
  • Single Interface for Querying Multiple Data Sources with AWS AppSync

Module 3: Migration Planning

  • Overview
  • Planning Out a Migration
  • Migration Strategies
  • Analysing the Workloads Using AWS Application Discovery Service
  • Performing Data Migration
  • Performing Server Migration
  • Performing Database Migration

Module 4: Cost Control

  • Overview
  • AWS Pricing Models
  • Reserved Instances and Savings Plan
  • Using Different AWS Cost Management Services

Module 5: Continuous Improvement for Existing Solutions

  • Using Amazon Cognito for Web App Authentication
  • Using AWS Systems Manager for Patch Management
  • Implementing CI/CD Using AWS CodeDeploy, CodeCommit, CodeBuild, and CodePipeline
  • Using Federation to Manage Access
  • Setting Up a Fault-Tolerant Cache Layer with Amazon Elasticache
  • Improving the Cache Hit Ratio of the CloudFront Distribution
  • Other Ways of Combining Route 53 Records for High Availability and Fault Tolerance
  • Longest Prefix Match: Understanding Advanced Concepts in VPC Peering
  • Automate the EBS Snapshots Using Amazon Data Lifecycle Manager (Amazon DLM)
  • Real-Time Log Processing Using CloudWatch Logs Subscription Filters
  • Scaling Memory-Intensive Application in AWS

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Who should attend this AWS Professional Solutions Architect Training Course?

This AWS Professional Solutions Architect Training Course is intended for professionals who want to upgrade their knowledge in cloud computing and architectural design. This course can be beneficial to a wide range of professionals, including:

  • Experienced Solutions Architects
  • Cloud Professionals
  • Machine Learning Engineers
  • Experienced DevOps Engineers
  • Application Architects
  • Enterprise Architects
  • System Designers

Prerequisites of the AWS Professional Solutions Architect Training Course

There are no formal prerequisites for the AWS Professional Solutions Architect Training Course. However, delegates who have experience with AWS CLI, the AWS Billing Console, and Windows and Linux environments can benefit from attending this course.

AWS Professional Solutions Architect Training Course Overview

Amazon Web Services (AWS) is a leading Cloud service provider that offers on-demand computing, storage, networking, security, and database services accessible worldwide via the internet without users needing to manage these resources. The AWS Professional Solutions Architect Certification validates delegates' ability to create, deploy, and assess applications on AWS in diverse scenarios.

This certification enables individuals to design hybrid architectures using AWS technologies and implement continuous integration and deployment processes. Acquiring these skills opens doors to lucrative job opportunities, including Cloud Architects, Developers, System Administrators, DevOps Engineers, and other high-paying roles.

In this intensive 3-day AWS Professional Solutions Architect Training, delegates will learn how to assess the requirements of Cloud applications and receive guidance on architecting AWS applications for implementation, deployment, and provisioning. This course covers advanced skills for deploying and building applications on AWS, including in-depth topics like databases, application servers, and best practices in system design. Our highly experienced trainers will impart essential AWS knowledge to delegates.

Course Objectives

  • To acquire in-depth knowledge about advanced cloud architecture principles and best practices on AWS
  • To master the design and implementation of large-scale AWS architectures for multiple enterprise applications
  • To enhance skills in optimising AWS solutions for performance, cost, and security
  • To develop proficiency in creating migration strategies
  • To gain knowledge of integrating AWS with on-premises data centres and multi-Cloud environments

After this AWS Certification Training, delegates can effectively secure and oversee access controls for a multi-account system. They will also be proficient in managing multiple AWS accounts within an organisation, enabling them to allocate resources and permissions to teams using AWS CloudFormation StackSets.

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What’s included in this AWS Professional Solutions Architect Training?

  • World-Class Training Sessions from Experienced Instructors  
  • AWS Professional Solutions Architect Training Certificate
  • Digital Delegate Pack   

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS Professional DevOps Engineer Training​ Course Outline

Module 1: Introduction to Cloud Computing

  • Overview of Services Pillars
  • Operational Excellence
  • Security
  • Performance Efficiency
  • Cost Optimisation

Module 2: Fundamentals of AWS Services

  • Setting Up and Accessing the AWS Account
  • Cloud Compute in AWS
  • Introduction to Elastic Compute Cloud
  • Introduction to VPC
  • Route 53
  • Amazon Relational Database Services
  • Message and Queuing System

Module 3: Identity and Access Management and Working with Secrets in AWS

  • Understanding the Shared Responsibility in AWS
  • IAM Roles, Groups, Users and Policies
  • Integrating Federation with an AWS Account
  • Using AWS Organisations as Part of Guidance
  • Using Cognito With Application Authentication
  • Storing Secrets Securely in AWS

Module 4: Amazon S3 Blob Storage

  • Introduction
  • S3 Concepts
  • S3 Access Controls
  • S3 Access Logs
  • Encryption Options with S3
  • Using S3 Events to Trigger Other AWS Events
  • S3 Batch Operations
  • S3 Replication
  • S3 Versioning

Module 5: Amazon DynamoDB

  • Basics of Amazon DynamoDB
  • Understanding Amazon Dynamo DB
  • Inserting Data in DynamoDB

Module 6: Introduction to DevOps

  • What is DevOps?
  • Why DevOps
  • DevOps Tools
  • DevOps on Cloud
  • DevOps with AWS

Module 7: Understanding CI/CD and SDLC

  • Introduction to SDLC
  • Lifecycle
    • Planning and Requirement Analysis
    • Defining Requirements
    • Designing the Product Architecture
    • Building or Developing the Product
    • Testing the Product
    • Deployment
  • Automatic CI/CD Pipeline
  • CodeCommit in AWS
  • CodeBuild and CodePipeline in AWS
  • Working of CodePipeline in AWS
  • What is Jenkins?
  • Jenkins and AWS?

Module 8: AWS OpsWorks to Manage and Deploy the Stack

  • OpsWorks Essentials
  • OpsWorks Stack Vs OpsWorks Layers
  • OpsWorks Lifecycle
  • Monitoring an OpsWorks Stack

Module 9: Using ElasticBeanstalk to Deploy Applications

  • Introduction to Elastic Beanstalk
  • Benefits of AWS Elastic Beanstalk
  • Deploying an Application on Elastic Beanstalk
  • Introduction to Docker
  • Docker Architecture
  • Docker in AWS
  • Deploying Docker Container with Beanstalk

Module 10: Implement Metrics, Alarms, and Filters by Using AWS Monitoring

  • Identify, Collect, Analyse, and Export Logs
  • Collect Metrics and Logs Using the CloudWatch Agent
  • CloudWatch Alarms
  • Create CloudWatch Dashboard

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Who should attend this AWS Professional DevOps Engineer Training?

This AWS Professional DevOps Engineer Course is suitable for individuals who aim to enhance their expertise in the field of DevOps Engineering using Amazon Web Services (AWS). This course can be beneficial to various professionals, including:

  • Systems Administrators
  • Technical Support Personnel
  • Software Developers
  • Cloud Architects
  • Solution Architects
  • Operations Professionals
  • Technical Managers

Prerequisites of the AWS Professional DevOps Engineer Training

There are no formal prerequisites for attending this AWS Professional DevOps Engineering Course. However, delegates who have had 2 or more years of experience working with AWS and those with a foundational understanding of IT can benefit from attending this course.

AWS Professional DevOps Engineer Training Course Overview

An AWS DevOps Engineer is critical in an organisation, handling tasks encompassing engineering, coding, operations, and cost-effectiveness. Their primary responsibility is to support continuous delivery and integration processes, utilising data analysis to enhance current practices. In this training, delegates learn how to efficiently build and deliver products using AWS and DevOps practices in their businesses.

Additionally, delegates will explore Amazon DynamoDB, a powerful tool for creating flexible database tables capable of storing and retrieving vast amounts of data. Our expert trainers will empower delegates with the essential skills to excel in high-profile careers in development and DevOps Engineering.

In our 2-day AWS Professional DevOps Engineer Training by The Knowledge Academy delegates will gain expertise in minimising software failures and reducing the time required to implement fixes. This training covers using AWS Code Pipeline to automate release pipelines, ensuring swift and dependable updates to applications and infrastructure. Those with strong DevOps Engineering expertise can secure high-paying positions in multinational corporations.

Course Objectives

  • To teach delegates to recover objects from accidental deletion or overwriting
  • To manage the data traffic of tables over multiple servers
  • To plan the basic project approach and conduct product feasibility studies
  • To compile code and store the artefacts in an Amazon S3 bucket
  • To automate the operational and configuration tasks for distributed apps
  • To create stacks that help manage cloud resources in specialised groups

At the end of this AWS Certification Course, delegates will be able to continuously build and test projects by making it easy to integrate changing codes into Jenkins. They will also be able to save dashboards to their favourite list and create multiple dashboards.

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What’s included in this AWS Professional DevOps Engineer Training?

  • World-Class Training Sessions from Experienced Instructors  
  • AWS Professional DevOps Engineer Training Certificate
  • Digital Delegate Pack   

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Online Instructor-led (3 days)

Classroom (3 days)

Online Self-paced (24 hours)

AWS Associate SysOps Administrator Training​ Outline

Domain 1: Monitoring, Logging, and Remediation

  • Implement Metrics, Alarms, and Filters by Using AWS Monitoring and Logging Services
    • Identify, Collect, Analyse, and Export Logs
    • Collect Metrics and Logs Using the CloudWatch Agent
    • Create CloudWatch Alarms
    • Create Metric Filters
    • Create CloudWatch Dashboards
    • Configure Notifications
  • Remediate Issues Based on Monitoring and Availability Metrics
    • Troubleshoot or Take Corrective Actions Based on Notifications and Alarms
    • Configure Amazon Event Bridge Rules to Trigger Actions
    • Use AWS Systems Manager Automation Documents

Domain 2: Reliability and Business Continuity

  • Implement Scalability and Elasticity
    • Create and Maintain AWS Auto Scaling Plans
    • Implement Caching
    • Implement Amazon RDS Replicas and Amazon Aurora Replicas
    • Implement Loosely Coupled Architectures
    • Differentiate Between Horizontal Scaling and Vertical Scaling
  • Implement High Availability and Resilient Environments
    • Configure Elastic Load Balancer and Amazon Route 53 Health Checks
    • Differentiate Between the Use of a Single Availability Zone and Multi-AZ Deployments
    • Implement Fault-Tolerant Workloads
    • Implement Route 53 Routing Policies
  • Implement Backup and Restore Strategies
    • Automate Snapshots and Backups Based on Use Cases
    • Restore Databases
    • Implement Versioning and Lifecycle Rules
    • Configure Amazon S3 Cross-Region Replication
    • Execute Disaster Recovery Procedures

Domain 3: Deployment, Provisioning, and Automation

  • Provision and Maintain Cloud Resources
    • Create and Manage AMIs
    • Create, Manage, and Troubleshoot AWS CloudFormation
    • Provision Resources Across Multiple AWS Regions and Accounts
    • Select Deployment Scenarios and Services
    • Identify and Remediate Deployment Issues
  • Automate Manual or Repeatable Processes
    • Use AWS Services
    • Implement Automated Patch Management
    • Schedule Automated Tasks by Using AWS Services

Domain 4: Security and Compliance

  • Implement and Manage Security and Compliance Policies
    • Implement IAM Features
    • Troubleshoot and Audit Access Issues by Using AWS Services
    • Validate Service Control Policies and Permissions Boundaries
    • Review AWS Trusted Advisor Security Checks
    • Validate AWS Region and Service Selections Based on Compliance Requirements
  • Implement Data and Infrastructure Protection Strategies
    •  Enforce a Data Classification Scheme
    •  Create, Manage, and Protect Encryption Keys
    •  Implement Encryption at Rest and in Transit
    •  Securely Store Secrets by Using AWS Services
    •  Review Reports or Findings

Domain 5: Networking and Content Delivery

  • Implement Networking Features and Connectivity
    • Configure a VPC
    • VPC CIDR Block
    • Subnets
    • Elastic Network Interfaces
    • Features of Elastic Network Interfaces
    • Internet Gateway
    • Route Tables
    • VPC Security Groups
    • Network Access Control Lists (NACLs)
    • Difference Between SG and NACL
    • Network Address Translation
    • VPC Hands-On
    • Configure AWS Network Protection Services
  • Configure Domains, DNS Services, and Content Delivery
    • Configure Route 53 Hosted Zones and Records
    • Implement Route 53 Routing Policies
    • Configure DNS 
    • Configure Amazon CloudFront and S3 Origin Access Identity (OAI)
    • Configure S3 Static Website Hosting
  • Troubleshoot Network Connectivity Issues
    • Interpret VPC Configurations
    • Collect and Interpret Logs

Domain 6: Cost and Performance Optimisation

  • Implement Cost Optimisation Strategies
    • Implement Cost Allocation Tags
    • Identify and Remediate Underutilised or Unused Resources by Using AWS Services and Tools
    • Configure AWS Budgets and Billing Alarms
    • Identify Opportunities to Use Managed Services
  • Implement Performance Optimisation Strategies
    • Recommend Compute Resources Based on Performance Metrics
    • Monitor Amazon EBS Metrics and Modify Configuration to Increase Performance Efficiency
    • Implement S3 Performance Features
    • Monitor RDS Metrics and Modify the Configuration to Increase Performance Efficiency
    • Enable Enhanced EC2 Capabilities

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Who should attend this AWS Associate SysOps Administrator Training?

This AWS Associate SysOps Administrator Course is designed for individuals who are seeking to enhance their skills and knowledge in managing and operating systems on the Amazon Web Services (AWS) platform. This course is particularly beneficial for professionals such as:

  • Systems Administrators
  • Technical Support Personnel
  • Network Administrators
  • Cloud Professionals
  • Solution Architects
  • Enterprise Architects
  • System Designers

Prerequisites of the AWS Associate SysOps Administrator Training

There are no formal prerequisites for the AWS Associate SysOps Administrator Course.

AWS Associate SysOps Administrator Training Course Overview

The AWS Associate SysOps Administrator Course provides essential knowledge for managing AWS systems and operations efficiently. Businesses today are increasingly migrating their infrastructure to the cloud, with AWS being a prominent player in this domain. Understanding the intricacies of AWS services and operations is essential for businesses striving to remain competitive and agile in their operations.

Professionals across various domains, including system administration, cloud operations, and IT management, stand to benefit significantly from mastering AWS SysOps administration. With the relentless expansion of cloud computing adoption, organisations are continually seeking individuals who possess the expertise to navigate and optimise AWS environments effectively.

This 3-day AWS Associate SysOps Administrator Training by The Knowledge Academy offers hands-on experience and practical insights into AWS SysOps administration. Delegates will learn to navigate AWS environments, manage system resources effectively, and troubleshoot common issues efficiently.

Course Objectives

  • To learn about how to configure Amazon event bridge rules to trigger actions
  • To gain knowledge about how to use AWS systems manager automation documents
  • To become familiar with create and maintain AWS auto scaling plans
  • To attain knowledge about implement versioning and lifecycle rules
  • To acquire skills about how to enforce data classifications scheme
  • To work with troubleshoot network connectivity issues

At the end of this AWS Associate SysOps Administrator Course, delegates will be able to validate service control policies and permissions boundaries. They will also be able to implement data and infrastructure protection strategies that will continuously protect and monitor the workloads and accounts.

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What’s included in this AWS Associate SysOps Administrator Training?

  • World-Class Training Sessions from Experienced Instructors  
  • AWS Associate SysOps Administrator Training Certificate
  • Digital Delegate Pack   

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS Associate Developer Training Course Outline

Domain 1: Development with AWS Services

  • Develop Code for Applications Hosted on AWS
  • Develop Code for Aws Lambda
  • Use Data Stores in Application Development

Domain 2: Security

  • Implement Authentication And/or Authorisation for Applications and AWS Services
  • Implement Encryption by Using AWS Services
  • Manage Sensitive Data in Application Code

Domain 3: Deployment

  • Prepare Application Artifacts To Be Deployed to AWS
  • Test Applications in Development Environments
  • Automate Deployment Testing
  • Deploy Code by Using Aws CI/CD Services

Domain 4: Troubleshooting and Optimisation

  • Assist in a Root Cause Analysis.
  • Instrument Code for Observability
  • Optimise Applications by Using AWS Services and Features

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Who should attend this AWS Associate Developer Training Course?

This AWS Associate Developer Training Course is ideal for individuals looking to deepen their expertise in cloud application development using AWS services. It is particularly beneficial for:

  • Software Developers
  • Application Developers
  • Cloud Application Engineers
  • System Administrators
  • IT Managers
  • DevOps Engineers
  • Cloud Technology Consultants

Prerequisites of AWS Associate Developer Training Course

There are no formal prerequisites to attend this AWS Associate Developer Training Course. 

AWS Associate Developer Training Course Overview

Amazon Web Services (AWS) is a leading cloud computing platform that offers a vast array of scalable, flexible, and cost-effective services. Its importance cannot be overstated, as it enables businesses to build and deploy scalable applications without the need for upfront hardware investments, thus accelerating innovation. For organisations, this AWS Certified Developer Training equips their development teams with the necessary skills to efficiently create, deploy, and manage applications on AWS, enhancing their ability to leverage cloud technologies for business growth. For individuals, the training provides deep insights into AWS development best practices and the latest AWS features, enhancing their technical capabilities and making them more effective in their roles.

In the AWS Associate Developer Training course, delegates will delve into the practical aspects of developing and managing applications using AWS services. The course covers the full spectrum of AWS development, including the use of AWS Lambda, data store integration, authentication and encryption, and the deployment of applications through AWS CI/CD pipelines. Emphasis is placed on writing code that is both secure and optimised for the cloud environment.

Course Objectives

  • To develop code for serverless applications using AWS Lambda.
  • To implement secure access controls for applications on AWS.
  • To manage sensitive data effectively within application code.
  • To prepare and deploy applications using AWS CI/CD tools.
  • To troubleshoot common issues in AWS applications.
  • To optimise application performance using AWS services.

After attending this training, delegates will be equipped to handle the end-to-end development process for applications on AWS. They will have the skills to write, secure, test, and deploy applications efficiently using a range of AWS services and best practices. This comprehensive knowledge will enable them to enhance the scalability, reliability, and security of their projects, thus improving their effectiveness and productivity in a professional setting.

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What’s included in this AWS Associate Developer Training?

  • World-Class Training Sessions from Experienced Instructors 
  • AWS Associate Developer Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (3 days)

Online Self-paced (24 hours)

AWS Associate Data Engineer Training Course Outline

Domain 1: Data Ingestion and Transformation

  • Perform Data Ingestion
  • Throughput and Latency Characteristics for AWS Services that Ingest Data
  • Data Ingestion Patterns
  • Streaming Data Ingestion
  • Batch Data Ingestion
  • Replayability of Data Ingestion Pipelines
  • Stateful and Stateless Data Transactions
  • Transform and Process Data
  • Creation of ETL Pipelines Based on Business Requirements
  • Volume, Velocity, and Variety of Data
  • Cloud Computing and Distributed Computing
  • How to Use Apache Spark to Process Data
  • Intermediate Data Staging Locations
  • Orchestrate Data Pipelines
  • How to Integrate Various AWS Services to Create ETL Pipelines
  • Event-driven Architecture
  • How to Configure AWS Services for Data Pipelines Based on Schedules or Dependencies
  • Serverless Workflows
  • Apply Programming Concepts
  • Continuous Integration and Continuous Delivery
  • SQL Queries
  • Infrastructure as Code
  • Distributed Computing
  • Data Structures and Algorithms
  • SQL Query Optimisation

Domain 2: Data Store Management

  • Choose a Data Store
  • Storage Platforms and Their Characteristics
  • Storage Services and Configurations for Specific Performance Demands
  • Data Storage Formats
  • How to Align Data Storage with Data Migration Requirements
  • How to Determine the Appropriate Storage Solution for Specific Access Patterns
  • How to Manage Locks to Prevent Access to Data
  • Understand Data Cataloguing Systems
  • How to Create a Data Catalog
  • Data Classification Based on Requirements
  • Components of Metadata and Data Catalogs
  • Manage the Lifecycle of Data
  • Appropriate Storage Solutions to Address Hot and Cold Data Requirements
  • How to Optimise the Cost of Storage Based on the Data Lifecycle
  • How to Delete Data to Meet Business and Legal Requirements
  • Data Retention Policies and Archiving Strategies
  • How to Protect Data with Appropriate Resiliency and Availability
  • Design Data Models and Schema Evolution
  • Data Modelling Concepts
  • How to Ensure Accuracy and Trustworthiness of Data by Using Data Lineage
  • Best Practices for Indexing, Partitioning Strategies, Compression, and Other Data Optimisation Techniques
  • How to Model Structured, Semi-structured, and Unstructured Data
  • Schema Evolution Techniques

Domain 3: Data Operations and Support

  • Automate Data Processing by Using AWS Services
  • How to Maintain and Troubleshoot Data Processing for Repeatable Business Outcomes
  • API Calls for Data Processing
  • Which Services Accept Scripting
  • Analyse Data by Using AWS Services
  • Tradeoffs Between Provisioned Services and Serverless Services
  • SQL Queries
  • How to Visualise Data for Analysis
  • When and How to Apply Cleansing Techniques
  • Data Aggregation, Rolling Average, Grouping, and Pivoting
  • Maintain and Monitor Data Pipelines
  • How to Log Application Data
  • Best Practices for Performance Tuning
  • How to Log Access to AWS Services
  • Amazon Macie, AWS CloudTrail, and Amazon CloudWatch
  • Ensure Data Quality
  • Data Sampling Techniques
  • How to Implement Data Skew Mechanisms
  • Data Validation
  • Data Profiling

Domain 4: Data Security and Governance

  • Apply Authentication Mechanisms
  • VPC Security Networking Concepts
  • Differences Between Managed Services and Unmanaged Services
  • Authentication Methods
  • Differences Between AWS Managed Policies and Customer Managed Policies
  • Apply Authorisation Mechanisms
  • Authorisation Methods
  • Principle of Least Privilege as It Applies to AWS Security
  • Role-based Access Control and Expected Access Patterns
  • Methods to Protect Data from Unauthorised Access Across Services
  • Ensure Data Encryption and Masking
  • Data Encryption Options Available in AWS Analytics Services
  • Differences Between Client-side Encryption and Server-side Encryption
  • Protection of Sensitive Data
  • Data Anonymisation, Masking, and Key Salting
  • Prepare Logs for Audit
  • How to Log Application Data
  • How to Log Access to AWS Services
  • Centralised AWS Logs
  • Understand Data Privacy and Governance.
  • How to Protect Personally Identifiable Information
  • Data Sovereignty

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Who should attend this AWS Associate Data Engineer Training Course?

This AWS Associate Data Engineer Training Course is ideal for individuals eager to enhance their expertise in cloud-based data engineering using AWS technologies. It is particularly beneficial for:

  • Data Engineers
  • Database Administrators
  • Big Data Analysts
  • IT Professionals working with large datasets
  • Software Developers interested in data processing
  • Data Architects
  • Cloud Solution Architects

Prerequisites of AWS Associate Data Engineer Training Course:

There are no formal prerequisites to attend this AWS Associate Data Engineer Training Course.

AWS Associate Data Engineer Training Course Overview

Amazon Web Services (AWS) is a comprehensive cloud computing platform that offers a broad set of infrastructure services, such as computing power, storage options, and networking capabilities. Its importance lies in its flexibility, scalability, and cost-efficiency, which make it essential for businesses of all sizes that aim to optimise their IT operations and reduce overhead. For organisations, this AWS Certified Data Engineer – Associate Training provides a strategic advantage by enhancing their team’s ability to efficiently manage and analyse large data sets within the AWS ecosystem. For individuals, the training offers deep insights and practical skills in handling data engineering tasks, improving their proficiency and effectiveness in their current roles.

In the AWS Associate Data Engineer Training course, delegates will gain a robust understanding of data engineering principles on the AWS platform, focusing on data ingestion, transformation, storage, and security. The course is designed to equip participants with the skills to build, maintain, and optimise data systems and architectures in AWS, using the latest tools and technologies for effective data processing and analysis.

Course Objectives:

  • To perform data ingestion and establish data pipelines
  • To design and implement ETL solutions on AWS
  • To manage data storage and lifecycle efficiently
  • To ensure data security and compliance within AWS
  • To apply automation in data operations using AWS services
  • To utilise AWS tools for data analysis and visualisation

After attending this training, delegates will be able to design and implement comprehensive data engineering solutions within the AWS cloud environment. They will have the skills to handle data at every stage of its lifecycle—from ingestion through to analysis and archiving—using AWS services and best practices. Additionally, they will be proficient in setting up secure, scalable, and cost-effective data infrastructures.

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What’s included in this AWS Associate Data Engineer Training Course?

  • World-Class Training Sessions from Experienced Instructors 
  • AWS Associate Data Engineer Training Certificate
  • Digital Delegate Pack

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Online Instructor-led (3 days)

Online Self-paced (24 hours)

AWS Associate Machine Learning Engineer Training Course Outline

Domain 1: Data Preparation for Machine Learning

  • Ingest and Store Data
  • Data Formats and Ingestion Mechanisms
  • How to Use the Core AWS Data Sources
  • How to Use AWS Streaming Data Sources to Ingest Data
  • AWS Storage Options, Including Use Cases and Tradeoffs
  • Transform Data and Perform Feature Engineering
  • Data Cleaning and Transformation Techniques
  • Feature Engineering Techniques
  • Encoding Techniques
  • Tools to Explore, Visualise, or Transform Data and Features
  • Services That Transform Streaming Data
  • Data Annotation and Labelling Services
  • Ensure Data Integrity and Prepare Data for Modelling
  • Pre-Training Bias Metrics for Numeric, Text, and Image Data
  • Strategies to Address CI in Numeric, Text, and Image Datasets
  • Techniques to Encrypt Data
  • Data Classification, Anonymisation, and Masking
  • Implications of Compliance Requirements

Domain 2: ML Model Development

  • Choose a Modelling Approach
  • Capabilities and Appropriate Uses of ML Algorithms to Solve Business Problems
  • How to Use AWS AI Services to Solve Specific Business Problems
  • How to Consider Interpretability During Model Selection or Algorithm Selection
  • SageMaker Built-In Algorithms and When to Apply Them
  • Train and Refine Models
  • Elements in the Training Process
  • Methods to Reduce Model Training Time
  • Factors That Influence Model Size
  • Methods to Improve Model Performance
  • Benefits of Regularisation Techniques
  • Hyperparameter Tuning Techniques
  • Model Hyperparameters and Their Effects on Model Performance
  • Methods to Integrate Models Built Outside SageMaker into SageMaker
  • Analyse Model Performance
  • Model Evaluation Techniques and Metrics
  • Methods to Create Performance Baselines
  • Methods to Identify Model Overfitting and Underfitting
  • Metrics Available in SageMaker Clarify to Gain Insights into ML Training Data and Models
  • Convergence Issues

Domain 3: Deployment and Orchestration of ML Workflows

  • Select Deployment Infrastructure Based on Existing Architecture and Requirements
  • Deployment Best Practices
  • AWS Deployment Services
  • Methods to Serve ML Models in Real Time and in Batches
  • How to Provision Compute Resources in Production and Test Environments
  • Model and Endpoint Requirements for Deployment Endpoints
  • How to Choose Appropriate Containers
  • Methods to Optimise Models on Edge Devices
  • Create and Script Infrastructure Based on Existing Architecture and Requirements
  • Difference Between On-Demand and Provisioned Resources
  • How to Compare Scaling Policies
  • Tradeoffs and Use Cases of IaC Options
  • Containerisation Concepts and AWS Container Services
  • How to Use SageMaker Endpoint Auto Scaling Policies to Meet Scalability Requirements
  • Use Automated Orchestration Tools to Set Up CI/CD Pipelines
  • Capabilities and Quotas for AWS CodePipeline, AWS CodeBuild, and AWS CodeDeploy
  • Automation and Integration of Data Ingestion with Orchestration Services
  • Version Control Systems and Basic Usage
  • CI/CD Principles and How They Fit into ML Workflows
  • Deployment Strategies and Rollback Actions
  • How Code Repositories and Pipelines Work Together

Domain 4: ML Solution Monitoring, Maintenance, and Security

  • Monitor Model Inference
  • Drift in ML Models
  • Techniques to Monitor Data Quality and Model Performance
  • Design Principles for ML Lenses Relevant to Monitoring
  • Monitor and Optimise Infrastructure and Costs
  • Key Performance Metrics for ML Infrastructure
  • Monitoring and Observability Tools to Troubleshoot Latency and Performance Issues
  • How to Use AWS CloudTrail to Log, Monitor, and Invoke Re-Training Activities
  • Differences Between Instance Types and How They Affect Performance
  • Capabilities of Cost Analysis Tools
  • Cost Tracking and Allocation Techniques
  • Secure AWS Resources
  • IAM Roles, Policies, and Groups That Control Access to AWS Services
  • SageMaker Security and Compliance Features
  • Controls for Network Access to ML Resources
  • Security Best Practices for CI/CD Pipelines

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Who should attend this AWS Associate Machine Learning Engineer Training Course?

The AWS Associate Machine Learning Engineer Training Course is perfectly suited for individuals eager to deepen their expertise in machine learning and cloud computing within the AWS ecosystem. It is particularly beneficial for:

  • Data Scientists
  • Machine Learning Engineers
  • Cloud Architects
  • Software Engineers
  • IT Managers and Directors
  • System Administrators
  • Big Data Analysts
  • AI Research Scientists

Prerequisites of AWS Associate Machine Learning Engineer Training Course

There are no formal prerequisites to attend this AWS Associate Machine Learning Engineer Training Course.

AWS Associate Machine Learning Engineer Training Course Overview

AWS, or Amazon Web Services, is a comprehensive and widely adopted cloud platform that offers over 200 fully featured services from data centres globally. Its importance lies in its vast array of tools and capabilities that allow businesses to scale and grow by providing powerful computing power, database storage, and other functionality. For organisations, this training enhances their team's ability to effectively use AWS for innovative and efficient cloud solutions, reducing operational costs and improving system scalability. For individuals, the training offers the skills to confidently utilise AWS technologies, making them invaluable assets to their teams and enhancing job performance. Lastly, for delegates, this certification opens up numerous career opportunities, as AWS skills are highly sought after in the tech industry, potentially leading to higher job security and advancement prospects.

In this AWS Associate Machine Learning Engineer Training, delegates will gain comprehensive insights into the end-to-end processes of machine learning on the AWS platform. From data preparation, model building, and training to deployment and securing machine learning solutions, the course covers essential skills for effectively harnessing the power of AWS for machine learning projects. Delegates will explore various AWS services and tools that facilitate data handling, feature engineering, model evaluation, and the deployment of machine learning models in production environments.

Course Objectives

  • To understand AWS data ingestion and storage solutions
  • To apply feature engineering on diverse datasets
  • To develop and train machine learning models
  • To evaluate models using AWS SageMaker
  • To deploy models for batch and real-time processing
  • To manage and monitor machine learning solutions
  • To implement security best practices in AWS

After attending this training, delegates will be able to apply their knowledge to set up complete machine learning workflows on AWS. They will have the skills to choose the appropriate AWS tools for different stages of machine learning projects, from data collection and processing to training and deploying models.

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What’s included in this AWS Associate Machine Learning Engineer Training Course? 

  • World-Class Training Sessions from Experienced Instructors   
  • AWS Associate Machine Learning Engineer Training Certificate 
  • Digital Delegate Pack 

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS Specialty Machine Learning Training Course Outline

Module 1: Get Started with Machine Learning

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning

Module 2: Machine Learning and Deep Learning Theory

  • Machine Learning Concepts
    • Machine Learning Lifecycle
    • Supervised Learning, Unsupervised Learning, and Reinforcement Learning
    • Optimisation
    • Hyperparameters and Validation
  • Machine Learning Algorithms
    • Linear Regression
    • Logistic Regression and Syntax of Logistic Regression
    • Support Vector Machines
    • Decision Tree and Random Forests
    • Latent Dirichlet Allocation
  • Deep Learning Algorithm
  • Model Performance and Optimisation
  • Machine Learning Tools and Frameworks

Module 3: Amazon Web Services

  • Introduction to AWS Services
    • S3
    • Glue
    • Athena
    • Quick Start
    • Kinesis Data Stream and Kinesis Data Firehose
    • Kinesis Video Streams
    • Kinesis Data Analytics
    • EMR with Spark
    • Amazon ML
  • AWS Application Services AI/MI 
    • Amazon Recognition
    • Amazon Polly
    • Amazon Translate
    • Amazon Comprehend
    • Amazon Lex
    • Amazon Service Chaining with AWS Step Functions

Module 4: Amazon SageMaker

  • What is Amazon SageMaker?
  • Three Stages
  • Control SDK and Control Notebooks
  • SageMaker Notebooks
  • Build
    • Data Preprocessing
    • Ground Truth
    • Preprocessing Image Data
    • Algorithms
  • Train
    • SageMaker Algorithms-Architecture
    • Training an Image Classifier
    • Hyperparameter Tunning
  • Deploy
    • Inference Pipelines
    • Real-Time and Batch Inference 
    • Deploy an Image Classifier
    • Accessing Inference form Apps
    • Create a Custom APIs for Inference
  • Security
    • Securing SageMaker Notebooks
    • SageMaker and the VPC

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Who should attend this AWS Specialty Machine Learning Training?

The AWS Machine Learning Course is designed for professionals aiming to harness the power of Machine Learning using Amazon Web Services technologies. This AWS Certification Training Course can be beneficial to various professionals, including:

  • Data Scientists
  • Machine Learning Engineers
  • Software Developers
  • Data Engineers
  • Business Analysts
  • AI Researchers
  • Solution Architects

Prerequisites of the AWS Specialty Machine Learning Training

There are no formal prerequisites to attend the AWS Specialty Machine Learning Course.

AWS Specialty Machine Learning Training Course Overview

The AWS Specialty Machine Learning Certification is designed to empower delegates with the necessary knowledge and tools to leverage the capabilities of Amazon Web Services in Machine Learning, including AWS Certifications. This course delves deep into the core aspects of Machine Learning on the AWS platform, offering a comprehensive understanding of its principles and practical applications.  

Learning about AWS Specialty Machine Learning is crucial for Data Scientists, Developers, and IT Professionals to remain competitive. Mastery of AWS Machine Learning enables these professionals to create and launch intelligent applications, uncover valuable insights, and foster innovation within their organisations. 

This 2-day AWS Specialty Machine Learning Training offered by The Knowledge Academy provides delegates with practical experience using AWS Machine Learning services. You'll learn to process data, train models, and deploy them effectively. Additionally, you'll discover how to seamlessly integrate AWS Machine Learning into your projects, improving productivity and decision-making.

Course Objectives 

  • To master AWS SageMaker for Machine Learning model development 
  • To understand data preprocessing and feature engineering
  • To implement model training and evaluation methodologies 
  • To deploy Machine Learning models on AWS infrastructure 
  • To learn to handle real-world data challenges 
  • To gain proficiency in AWS Machine Learning services

After successfully finishing this AWS Machine Learning Training Course, delegates will be well-prepared to harness the power of AWS Machine Learning to generate data-driven insights, enhance decision-making processes, and devise innovative solutions. Delegates can expand their AWS skills with The Knowledge Academy’s wide range of AWS Courses.

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What’s included in this AWS Specialty Machine Learning Training?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Specialty Machine Learning Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS Specialty Advanced Networking Training​ Course Outline

Module 1: Introduction to Advanced Networking

  • AWS Global Structure
  • Amazon Virtual Private Cloud
  • AWS Networking Services

Module 2: Amazon Virtual Private Cloud (Amazon VPC) and Networking Fundamentals

  • Introduction to Amazon Virtual Private Cloud (Amazon VPC)
  • Subnets
  • Route Tables
  • IP Addressing
  • Security Groups
  • Network Access Control Lists
  • Internet Gateways
  • Network Address Translation (NAT) Instances and NAT Gateways
  • Egress- Only Internet Gateways (EIGWs)
  • Virtual Private Gateways (VPGs), Customer Gateways and Virtual Private Networks (VPNs)
  • VPC Endpoints
  • VPC Peering
  • Placement Groups
  • Elastic Network Interfaces
  • Dynamic Host Configuration Protocol (DHCP) Option Sets
  • Amazon Domain Name Service (DNS) Server
  • VPC Flow Logs

Module 3:  Advanced Amazon Virtual Private Cloud (Amazon VPC)

  • VPC Endpoints
  • VPC Endpoint Overview
  • Gateway VPC Endpoints
  • Interface VPC Endpoints
  • Transitive Routing
  • IP Addressing Features

Module 4: Virtual Private Networks

  • Introduction to Virtual Private Networks
  • Site-to-Site VPN
  • Client-to-Site VPN
  • Design Patterns

Module 5: AWS Direct Connect

  • What is AWS Direct Connect?
  •  Connectivity
    • Physical
    • Logical
    • Resilient
  • Billing

Module 6: Domain Name System and Load Balancing

  • Introduction to Domain Name System and Load Balancing
  • Concepts, Steps and Record Types: Domain Name System
  • Amazon EC2 DNS Service
  • Amazon Route 53
  • Types, Concepts, Configuration: Elastic Load Balancing

Module 7: Amazon CloudFront

  • Introduction to Amazon CloudFront
  • Content Delivery Network Overview
  • AWS CDN: Amazon CloudFront

Module 8: Network Security

  • Governance
  • Data Flow Security
  • Regions
  • AWS Security Services
  • Detection and Response

Module 9: Network Performance

  • Network Performance Basics
  • Amazon Elastic Compute Cloud (Amazon EC2) Instance
  • Optimising Performance
  • Example Applications
  • Performance Testing

Module 10: Automation

  • Introduction to Automation
  • Infrastructure as Code
  • Network Monitoring Tools

Module 11: Service Requirements

  • Introduction to Service Requirements
  • Elastic Network Interface
  • AWS Cloud Services and their Network Requirements

Module 12: Hybrid Architectures

  • Introduction to Hybrid Architectures
  • Application Architectures
  • Access VPC Endpoints
  • Using of Transitive Routing in Hybrid IT

Module 13: Network Troubleshooting

  • Introduction to Network Troubleshooting
  • Methodology for Troubleshooting
  • Network Troubleshooting Tools
  • Troubleshooting Common Scenarios

Module 14: Billing

  • Billing Overview
  • Types of Data Transfer
  • Scenarios

Module 15: Risk and Compliance

  • Threat Modeling
  • Ownership Model and Role of Network Management
  • Controlling Access to AWS
  • Encryption Options
  • Network Activity Monitoring
  • Malicious Activity Detection
  • Amazon Inspector
  • Other Compliance Tools
  • Penetration Testing and Vulnerability Assessment

Module 16: Scenarios and Reference Architecture

  • Introduction to Scenarios and Reference Architectures
  • Hybrid Networking Scenario
  • Multi-Location Resiliency

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Who should attend this AWS Specialty Advanced Networking Training Course? 

This AWS Specialty Advanced Networking Training Course is designed for individuals who possess a strong foundational understanding of Amazon Web Services (AWS) and Networking concepts. This course is particularly beneficial for professionals such as:

  • Systems Administrators
  • IT Managers
  • DevOps Engineers
  • Cloud Architects
  • Solution Architects
  • Cloud Engineers
  • Security Engineers

Prerequisites of the AWS Specialty Advanced Networking Training Course

There are no formal prerequisites for the AWS Specialty Advanced Networking Training Course. However, basic knowledge of Amazon Web Services would be beneficial for the delegates.

AWS Specialty Advanced Networking Training Course Overview

Mastering advanced networking on AWS is crucial for designing scalable, secure, and high-performing cloud infrastructure. This course equips delegates with in-depth knowledge of complex networking concepts, enabling them to optimise AWS services effectively. It is ideal for building a robust foundation in networking solutions for enterprise-level applications.

This AWS Specialty Advanced Networking Training is aimed at IT professionals, network architects, and cloud engineers looking to refine their expertise in AWS networking. It enhances professional growth by equipping delegates with advanced skills that are highly sought after in cloud infrastructure roles, fostering career progression.

This course provided by The Knowledge Academy ensures a comprehensive understanding of AWS networking concepts, with practical case studies and expert guidance. It prepares delegates for real-world challenges, making it an excellent investment for anyone aspiring to excel in AWS networking and earn advanced certifications.

Course Objectives

  • Understand advanced AWS networking concepts and solutions
  • Configure hybrid connectivity using AWS services
  • Design and implement scalable and secure architectures
  • Manage high-performance applications and workloads
  • Monitor and troubleshoot network performance issues
  • Explore AWS networking compliance and security best practices
  • Prepare for AWS Certified Advanced Networking exam

By the end of this course, delegates will possess advanced networking skills to design, deploy, and maintain secure, scalable, and high-performing cloud networks on AWS, enabling them to excel in complex networking roles and boost their career prospects.

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What’s included in this AWS Specialty Advanced Networking Training Course?

  • World-Class Training Sessions from Experienced Instructors  
  • AWS Specialty Advanced Networking Training Certificate
  • Digital Delegate Pack   

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Online Instructor-led (4 days)

Classroom (4 days)

Online Self-paced (32 hours)

AWS Specialty Security Training​ Course Outline

Module 1: Security Fundamentals

  • Understanding Security
  • Basic Security Concepts
  • Foundational Networking Concepts
  • Main Classes of Attacks
  • Risk Management
  • Well-Known Security Frameworks and Models

Module 2: Cloud Security Principles and Frameworks

  • Cloud Security Principles Overview
  • Shared Responsibility Model
  • AWS Compliance Programmes
  • AWS Well-Architected Framework
  • AWS Marketplace

Module 3: Identity and Access Management

  • IAM Overview
  • Create an IAM User
  • Access Management in Amazon S3
  • Identity Federation
  • Multi-Account Management with AWS Organisations
  • Microsoft AD Federation with AWS
  • Protecting Credentials with AWS Secrets Manager

Module 4: Detective Controls

  • Stage 1: Resources State
  • Stage 2: Events Collection
  • Stage 3: Events Analysis
  • Stage 4: Action

Module 5: Infrastructure Protection

  • AWS Networking Constructs
  • Network Address Translation
  • Security Groups
  • Network Access Control Lists
  • Elastic Load Balancing
  • VPC Endpoints
  • VPC Flow Logs
  • AWS Web Application Firewall
  • AWS Shield

Module 6: Data Protection

  • Introduction to Data Protection
  • AWS Key Management Service
  • Creating a Customer Master Key in AWS KMS
  • Cloud Hardware Security Module
  • AWS Certificate Manager
  • Protecting S3 Buckets
  • Amazon Macie

Module 7: Incident Response

  • Incident Response Maturity Model
  • Incident Response Best Practices
  • Rotate AWS IAM Credentials

Module 8: Security Automation

  • Security Automation Overview
  • Event-Driven Security
  • Using AWS Lambda for Automated Security Response
  • WAF Security Automations
  • AWS Config Auto Remediation
  • Automating Resolution of Findings Using AWS Security Hub
  • Aggregate and Resolve Issues with AWS Systems Manager

Module 9: Security Troubleshooting on AWS

  • Using Troubleshooting Tools and Resources
  • Common Access Control Troubleshooting Scenarios
  • Encryption and Decryption Troubleshooting Scenarios
  • Network and Connectivity Troubleshooting Scenarios

Module 10: Creating Security Journey in AWS

  • Where to Start?
  • Security Journey Phased Example

 

 

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Who should attend this AWS Specialty Security Training Course?

The AWS Specialty Security Course is designed for professionals aiming to demonstrate their proficiency on the Amazon Web Services (AWS) platform.

Here are the professionals who can benefit greatly from attending this course:

  • Security Engineers
  • Security Consultants
  • CISOs
  • Cloud Security Specialists
  • Compliance Officers
  • Auditors
  • Network Security Professionals

Prerequisites of the AWS Specialty Security Training Course

There are no formal prerequisites for this AWS Specialty Security Course. However, familiarity with Cloud Security principles can be beneficial for the delegates.

AWS Specialty Security Training Course Overview

The AWS Specialty Security course provides delegates with the skills and knowledge needed to secure cloud environments on AWS. With the increasing adoption of cloud services, security expertise is in high demand. This certification helps individuals demonstrate their ability to implement security best practices, ensuring organisations’ cloud infrastructures are protected. By mastering AWS security tools, delegates can improve an organisation's security posture and reduce risks associated with data breaches.

This course is aimed at professionals in security, networking, and cloud computing who want to enhance their skills. By gaining certification, delegates can stand out in a competitive job market, gain recognition, and access higher-level roles within organisations focused on cloud security. Furthermore, this certification opens doors to a wide range of opportunities across industries, offering professionals the chance to specialise in one of the most sought-after areas in IT today.

This course, provided by The Knowledge Academy, equips delegates with a comprehensive understanding of AWS security principles. It’s delivered by experienced instructors, ensuring practical, real-world application. The Knowledge Academy’s global reputation ensures high-quality training, making this course an excellent investment for enhancing career prospects in cloud security.

Course Objectives

  • Understand AWS security services and best practices
  • Implement secure access controls
  • Manage identity and access in AWS environments
  • Recognise common security risks in cloud environments
  • Mitigate security threats in AWS
  • Gain hands-on experience with security tools

By completing the course, delegates will be equipped to implement robust security measures on AWS, helping protect sensitive data and cloud infrastructure. They will also be prepared to handle security-related challenges, ensuring the resilience and integrity of cloud environments.

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What’s included in this AWS Specialty Security Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Specialty Security Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Data Warehousing Training on AWS Course Outline                           

Module 1: Get Started with Data AWS Warehousing

  • Introduction to Data Warehousing
  • Amazon Redshift Components and Resources
  • Benefits of AWS Redshift
  • OLAP VS OLTP

Module 2: Working with Cluster

  • Redshift Architecture
  • Creating a Cluster
  • Managing a Cluster
  • Cluster Modification and Performance

Module 3: Development Using Redshift

  • Redshift Architecture
  • Connecting to a Cluster
  • SQL Reference and Statements
  • Creating Table
  • Create View and Grant Command
  • Information Schema

Module 4: Table Design and Database Security

  • Table Design
  • Table Tuning
  • Database Security

Module 5: Loading and Unloading Data

  • Loading and Unloading Data
  • System Tables
  • System Query

Module 6: Workload Management and Visualise

  • Workload Management
  • WLMQ Behaviour
  • Run the Query
  • Visualise

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Who should attend this Data Warehousing Training on AWS?

The Data Warehousing Training on AWS is tailored for professionals seeking to master the intricacies of Data Warehousing using Amazon Web Services (AWS) solutions. This course can benefit a wide range of professionals, including:

  • Data Engineers
  • Data Analysts
  • Business Intelligence Developers
  • Data Architects
  • Database Administrators
  • Solution Architects
  • Data Scientists
  • Analytics Managers

Prerequisites of the Data Warehousing Training on AWS

There are no formal prerequisites to attend the Data Warehousing Training on AWS Course. However, a basic understanding of cloud computing, database technologies, and Data Warehousing concepts can benefit the delegates.

Data Warehousing Training on AWS Course Overview

The Data Warehousing Training on AWS is designed to introduce delegates to the fundamental concepts of Data Warehousing and its implementation on Amazon Web Services (AWS). This course explains the relevance of Data Warehousing in modern business operations. Proficiency in Data Warehousing is essential for professionals in domains like Data Analytics, Business Intelligence, and Data Engineering.

Mastering Data Warehousing on AWS is crucial for Data Engineers, Database Administrators, and IT professionals responsible for managing and analysing large datasets. These professionals need to understand the architecture, tools, and best practices for building and maintaining data warehouses on AWS. Expertise in this area allows them to optimise data storage, streamline data processing, and ensure data availability and security.

This 1-day training course equips delegates with the knowledge and practical skills required to design, implement, and manage Data Warehousing solutions on AWS. Delegates will learn to work with Cluster, utilise Amazon Redshift, AWS Glue, and other AWS services to create scalable and cost-effective data warehousing solutions. Real-world scenarios and hands-on labs provide valuable practical experience.

Course Objectives

  • To understand the core principles of Data Warehousing
  • To learn to set up and configure Amazon Redshift clusters
  • To gain proficiency in data loading and transformation with AWS Glue
  • To explore best practices for optimising Data Warehousing on AWS
  • To develop skills in monitoring and securing Data Warehousing solutions

After completing this AWS Course, delegates will be equipped to design, implement, and manage AWS-based Data Warehousing solutions, enhancing their career prospects.

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What’s included in this Data Warehousing Training on AWS Course?

  • World-Class Training Sessions from Experienced Instructors
  • Data Warehousing Training on AWS Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS RoboMaker Training Course Outline

Module 1: Getting started

  • Concepts
  • Setting Up
  • Running First Simulation

Module 2: Development

  • Building Application Containers
  • Publishing Application Containers
  • Working with Robot Applications
  • Working with Simulation Applications
  • Versioning Applications
  • Using Images to Develop Applications

Module 3: Simulation

  • Running a Simulation
  • Configuring a Simulation
  • Managing a Simulation
  • Logging a Simulation
  • Batching Simulations

Module 4: Creating worlds

  • Simulation Worldforge Concepts
  • Understanding Simulation World Templates
  • Common Tasks
  • JSON Schema for Simulation World Template Body
  • Sample World Templates in JSON
  • Managing Simulation World Templates
  • Managing World Generation Jobs
  • Managing World Export Jobs
  • Using Exported Worlds in Simulation

Module 5: Security

  • Data Protection
  • Authentication and Access Control
  • Logging and Monitoring
  • Tagging Resources
  • Security Compliance
  • Resilience
  • Infrastructure Security
  • VPC Endpoints (AWS PrivateLink)

Module 6: API reference

  • Actions
  • Data Types
  • Common Errors
  • Common Parameters

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Who should attend this AWS RoboMaker Training?

The AWS RoboMaker Course is designed for professionals interested in robotics development and simulation using the Amazon Web Services (AWS) RoboMaker. This course can be beneficial to a wide range of professionals, which include:

  • DevOps Engineers
  • Robotics Engineers
  • Systems Administrators
  • Product Managers
  • Entrepreneurs
  • Autonomous Systems Engineers
  • Robotics Researchers

Prerequisites of the AWS RoboMaker Training

There are no formal prerequisites to attend the AWS RoboMaker Course. However, a basic understanding of Robotics and Cloud Computing   would benefit delegates.  

AWS RoboMaker Training Course Overview

The AWS RoboMaker Course introduces delegates to robotics and automation using Amazon Web Services (AWS). These technologies are crucial in industries like manufacturing, logistics, and healthcare. AWS RoboMaker simplifies the development, testing, and deployment of intelligent robots in the cloud.

This course equips delegates with the skills to use AWS RoboMaker effectively, which is vital for professionals in automation and robotics. It's relevant for Robotics Engineers, Software Developers, and those in autonomous vehicles, industrial automation, and IoT. AWS RoboMaker expertise enhances career prospects and supports innovative projects in robotics and AI.

This one-day training course is designed to provide delegates with practical skills and knowledge to harness the capabilities of AWS RoboMaker. Through hands-on exercises and real-world scenarios, delegates will become confident using AWS RoboMaker to efficiently build, test, and deploy robotic applications.

Course Objectives

  • To understand the fundamentals of AWS RoboMaker and its role in robotics development
  • To create and configure robotic simulation environments using AWS services
  • To integrate AI and Machine Learning capabilities into robotic systems
  • To implement best practices for testing and debugging robotic applications
  • To manage and scale robotic fleets efficiently on AWS
  • To optimise robotic application performance for real-world deployment
  • To stay updated with the latest trends and developments in cloud robotics

After completing the AWS RoboMaker Training Course, delegates will be well-prepared to address real-world challenges and implement cutting-edge solutions in the rapidly growing field of robotics and automation.

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What’s included in this AWS RoboMaker Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS RoboMaker Certificate
  • Digital Delegate Pack

 

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Introduction to AWS Security Course Outline

Module 1: Introduction to Cloud Security 

  • What is Cloud Security?
  • Benefits of Cloud Security

Module 2: Secure Global Infrastructure and Compliance

  • Region, Availability Zones
  • VPC Endpoints
  • IAM and Compliance

Module 3: Secure Responsibility and Trusted Advisor

  • Shared Responsibility Model
  • Trusted Advisor

Module 4: Identity and Access Management (IAM)

  • Root User
  • Users and Groups
  • Roles and Policies
  • Access Advisor

Module 5: Encryption Essentials

  • Symmetric and Asymmetric Encryption
  • HSM and KMS
  • Create a Symmetric Key

Module 6: Operating System-Level Access

  • SSH Overview
  • Bastion Host
  • Linux Examples
  • Windows Remote Desktop Example
  • Window PuTTY Example

Module 7: Introduction to Data Security

  • Securing Data in Amazon S3 Glacier
  • Securing Data at Rest: EBS and RDS
  • Securing Data at Rest: DynamoDB and EMR
  • Securing Data in Transit
  • Data Protection in Amazon S3

Module 8: Operating System Security

  • Custom AMIs and Bootstrapping
  • AWS Systems Manager- Patching
  • Mitigating Malware

Module 9: Infrastructure Security

  • VPC Security
  • Network Segmentation
  • AWS Web Application Firewall and Shield
  • Testing Security
  • Threat Protection Layers

Module 10: Monitoring, Alerting, and Auditing

  • Basics of Monitoring
  • AWS Config
  • AWS System Manager- Inventory
  • AWS Inspector
  • AWS GuardDuty
  • Config to Audit Resources

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Who should attend this Introduction to AWS Security Course?

The Introduction to AWS Security Course is designed for professionals seeking to understand the fundamental concepts of securing applications and data in the Amazon Web Services environment. This course can be beneficial to various professionals, including:

  • IT Managers
  • Security Analysts
  • Network Engineers
  • Cloud Architects
  • DevOps Engineers
  • System Administrators
  • Software Developers
  • Compliance Officers

Prerequisites of the Introduction to AWS Security Course

There are no formal prerequisites to attend the Introduction to AWS Security Course. However, a basic understanding of security and cloud computing would benefit delegates.

 

Introduction to AWS Security Course Overview

This Introduction to AWS Security Course offered by The Knowledge Academy emerges as a critical learning opportunity. This course delves into Amazon Web Services (AWS) security, emphasising its profound relevance in safeguarding sensitive data and ensuring the integrity of cloud-based systems.

Proficiency in AWS Security is paramount for IT Professionals, Cloud Architects, and Security Specialists. Mastery of this subject empowers them to protect valuable digital assets, mitigate vulnerabilities, and adhere to compliance standards, ultimately fortifying their organisation's cyber defences.

This 1-day training by The Knowledge Academy, equips delegates with a comprehensive understanding of AWS Security. Delegates will learn to implement robust security measures, configure AWS services securely, and respond effectively to security incidents. The course blends theory and hands-on exercises, ensuring practical knowledge transfer.

Course Objectives

  • To understand AWS Security Fundamentals
  • To learn about Identity and Access Management (IAM) best practices
  • To explore encryption techniques for data protection
  • To master AWS Security Groups and Network ACLs
  • To gain insights into AWS CloudTrail and AWS Config
  • To implement incident response and disaster recovery strategies
  • To ensure compliance through AWS Security services

After completing this course, delegates will have the skills and knowledge to secure AWS environments effectively. They can confidently contribute to improving their organisation's cloud security, protecting data, and mitigating potential threats.

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What’s included in this Introduction to AWS Security Course?

  • World-Class Training Sessions from Experienced Instructors
  • Introduction to AWS Security Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS EMR Training Course Outline

Module 1: Introduction to Amazon EMR

  • Overview of Amazon EMR 
  • Understanding Cluster and Nodes 
  • Understand Processing Data
  • Understanding the Architecture
  • Benefits of Amazon EMR 

Module 2: Amazon EMR Notebooks

  • Amazon EMR Notebooks Overview  
  • Creating Notebook
  • Notebooks Working Concepts 

Module 3: Plan and Configure Clusters with Amazon EMR

  • Configure Cluster Location and Data Storage   
  • Using EMR File System 
  • Cluster Termination
  • Setting Up AMIs
  • Configuring Cluster Software
  • Configuring Cluster Hardware and Networking
  • Configuring Cluster Debugging 

Module 4: Manage Cluster in Amazon EMR

  • Monitoring of Cluster   
  • Scaling Cluster Resources
  • Cloning a Cluster Using the Console

Module 5: Security in Amazon EMR

  • Security Configurations
  • Data Protection in Amazon EMR
  • Kerberos, Secure Socket Shell (SSH)
  • Amazon EC2 Security Groups 

Module 6: Troubleshooting in Cluster

  • Troubleshooting Strategies
  • Tools for Troubleshooting

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Who should attend this AWS EMR Training?

The AWS EMR Course is tailored for professionals seeking to gain expertise in Amazon Web Services Elastic MapReduce, a cloud-based big data processing service. This course can be beneficial to various professionals, including:

  • Data Engineers
  • Data Analysts
  • Data Scientists
  • Big Data Developers
  • Solution Architects
  • Software Engineers
  • DevOps Engineers
  • System Administrators

Prerequisites of the AWS EMR Training Course

There are no formal prerequisites to attend the AWS EMR Course.

AWS EMR Training Course Overview

The AWS EMR, or Amazon Elastic MapReduce, is a powerful cloud service for processing large amounts of data quickly and cost-effectively. Managing and analysing big data is efficiently paramount. AWS EMR plays a key role in enabling organisations to harness the potential of their data, making it a crucial skill for professionals seeking to excel in data analytics and cloud computing.

Proficiency in AWS EMR is vital as it empowers Data Engineers, Data Scientists, and Cloud Architects to process, analyse, and visualise data at scale efficiently. With AWS EMR expertise, professionals can unlock valuable insights, improve decision-making, and reduce operational costs.  AWS EMR Training is particularly relevant for IT Professionals, Data Analysts, and Business Intelligence Experts looking to enhance their career prospects.

In this 1- day AWS EMR Training, provided by The Knowledge Academy, delegates will gain a thorough understanding of AWS Elastic MapReduce (EMR), including its architecture and operational principles.  AWS EMR Training covers cluster planning and configuration for master, task, and core nodes. It also includes hands-on experience with Amazon Machine Images (AMIs) and cluster management. Delegates will acquire knowledge of cluster security and troubleshooting strategies.

Course Objectives

  • To understand the fundamentals of AWS EMR and its role in big data processing
  • To learn to create and manage EMR clusters for different workloads
  • To gain proficiency in utilising Hadoop and Spark on AWS EMR
  • To explore data storage options and integration with AWS services
  • To optimise EMR performance and cost-efficiency
  • To implement security and access controls for data on EMR clusters
  • To analyse and visualise data using EMR and related tools
  • To troubleshoot common issues and best practices for EMR deployment

After successfully completing this AWS EMR Training, delegates will acquire the practical skills and industry-relevant knowledge necessary to confidently address significant data challenges, enhance their organisation's data analytics capabilities.

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What’s included in this AWS EMR Training?

  • World-Class Training Sessions from Experienced Instructors
  • AWS EMR Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Migrating Applications to AWS Training​ Course Outline

Module 1: AWS Business Essentials

  • Introduction to Cloud
  • Leveraging AWS for Competitive Benefits
  • Cloud Economics
  • Migrating to the Cloud
  • Security and Compliance

Module 2: AWS Technical Essentials

  • AWS: Introduction and History
  • AWS Foundational Services: EC2, VPC, S3, EBS
  • AWS Security, Identity, and Access Management: IAM
  • AWS Databases: RDS, DynamoDB
  • Tools of AWS Management: Auto Scaling, CloudWatch, Elastic Load Balancing
  • Trusted Advisor

Module 3: AWS Migration Strategy

  • AWS CAF – Cloud Adoption Framework
  • 6R Migration Pattern
  • AWS Well Architecture Framework

Module 4: Application Migration to AWS

  • Application Discovery Services
  • Server Migration Services
  • Agent Based and Agentless Server Migration Service

Module 5: Database Migration to AWS

  • DB Migration Challenges
  • Amazon Redshift
  • Amazon ElasticCache
  • Amazon Databases
  • AWS DB Migration Services
  • Migration Process

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Who should attend this Migrating Applications to AWS Training?

The Migrating Applications to AWS Course is designed for people who want to migrate applications to the AWS Cloud Platform. This course can benefit various professionals, including:

  • Cloud Architects
  • System Administrators
  • DevOps Engineers
  • Database Administrators
  • Application Developers
  • Network Engineers
  • Compliance Officers

Prerequisites of the Migrating Applications to AWS Training

There are no formal prerequisites for this Migrating Applications to AWS Course.

Migrating Applications to AWS Training Course Overview

As AWS adoption becomes widespread across various industries, professionals must prioritise acquiring these skills to remain competitive and relevant in the domain of cloud computing. Our Migrating Applications to AWS Training Course is designed to teach delegates the crucial process of moving their applications to AWS.

As AWS becomes increasingly vital for hosting applications, this training equips IT professionals with the essential knowledge and skills to succeed. Mastery of seamless application migration to AWS is crucial for IT Architects, Cloud Engineers, and System Administrators.

This 1-day intensive training empowers delegates with the expertise required for smoothly navigating the complexities of AWS application migration. Under the guidance of certified instructors, delegates will acquire practical experience in assessing, planning, and executing successful application migrations. During the transition, they will also learn essential best practices, tools, and techniques to optimise performance and cost-effectiveness.

Course Objectives

  • To understand the fundamentals of AWS cloud services
  • To assess existing applications for migration readiness
  • To develop comprehensive migration strategies
  • To execute migration projects with minimal downtime
  • To optimise AWS resources for cost savings
  • To ensure application security during and after migration
  • To troubleshoot common migration challenges
  • To leverage AWS tools and services for ongoing management

After completing this course, delegates will have the expertise and hands-on experience to migrate applications to AWS smoothly. They will be fully prepared to play a vital role in their organisation's transition to the cloud, guaranteeing efficient migrations, improved performance, and cost-effectiveness in the AWS Cloud.

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What’s included in this Migrating Applications to AWS Training?

  • World-Class Training Sessions from Experienced Instructors
  • Migrating Applications to AWS Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS IoT Certification Course Outline

Module 1: Introduction to AWS IoT

  • Concepts of IoT
  • Introduction to Cloud Computing
  • IoT Cloud Architecture
  • IoT Protocol Standard Framework and Stack
  • IoT Application Layer Protocols, API, and Libraries
  • AWS Account Creation

Module 2: Amazon Web Services

  • EC2 (Elastic Compute Cloud)
  • EBS (Elastic Block Storage)
  • VPC (Virtual Private Cloud)
  • AWS Lambda
  • Simple Notification Service
  • Simple Storage Service (S3)
  • Amazon Dynamo DB
  • Amazon Machine Learning Service
  • Amazon ElastiCache for Redis
  • AWS Cloud Watch
  • AWS Cloud Formation
  • AWS CLI

Module 3: AWS IoT (Amazon Internet of Thing) Stack

  • IoT Device SDK
  • Device Registry
  • Device Management
  • Certificates and Policies
  • Message Broker
  • Device Shadow Service
  • Rules Engine and Rule Actions
  • Amazon Greengrass Core
  • IoT Analytics Service
  • Integration with AWS Service Stack

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Who should attend this AWS IoT Certification Course?

The Introduction to AWS IoT Course is designed to provide a comprehensive understanding to professionals to familiarise them with the concepts and fundamentals of the Amazon Web Services (AWS) Internet of Things (IoT) platform. This course can be beneficial to various professionals, including:

  • IoT Developers
  • Embedded System Engineers
  • Solutions Architects
  • Software Engineers
  • Cloud Engineers
  • IoT Solutions Specialists
  • Entrepreneurs

Prerequisites of the AWS IoT Certification Course

There are no formal prerequisites to attend the AWS IoT Certification Course. However, a basic understanding of Internet of Things and cloud computing would be beneficial to delegates. 

AWS IoT Certification Course Overview

The Internet of Things (IoT) has transformed various industries, with AWS IoT as its foundation. The AWS IoT Certification Course is designed to provide participants with a comprehensive understanding of Amazon Web Services (AWS) Internet of Things (IoT) services. In today's interconnected world, IoT plays a pivotal role in transforming industries by enabling devices to communicate and share data seamlessly. This course introduces the fundamental concepts and applications of AWS IoT, highlighting its relevance in creating efficient, scalable, and secure IoT solutions.

Understanding AWS IoT is crucial for professionals involved in cloud computing, IoT development, and system architecture. Mastery of this subject is particularly important for developers, architects, and IT professionals seeking to leverage AWS services for building and managing IoT applications. As industries increasingly adopt IoT, having expertise in AWS IoT becomes a valuable skill set for staying competitive and contributing to innovative technological advancements.

In this 1-day course by The Knowledge Academy, delegates will gain knowledge of key AWS services, including Elastic Compute Cloud (EC2), Elastic Block Store (EBS), Virtual Private Cloud (VPC), S3, AWS Lambda, Simple Notification Service (SNS), DynamoDB, and Amazon Machine Learning. The course covers AWS CloudWatch, CloudFormation, and the Command Line Interface (CLI). Additionally, delegates will delve into the IoT device stack, covering device registry and management, message brokers, device shadow, and AWS Greengrass Core.

Course Objectives

  • To understand AWS IoT core components
  • To configure device connections and security
  • To implement IoT data processing and analytics
  • To learn to build scalable IoT applications
  • To ensure data integrity and security
  • To develop real-world IoT use cases
  • To troubleshoot common IoT challenges
  • To help delegates stay updated with AWS IoT best practices

After completing this AWS Course, delegates will be well-prepared to leverage AWS IoT to create innovative solutions, enhance their career prospects, and contribute to the IoT-driven digital transformation in their organisations.

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What’s included in this AWS IoT Certification Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS IoT Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

Big Data On AWS Training Course Outline

Module 1: Introduction to AWS and Big Data

  • An Introduction to Big Data
  • Ingestion, Transmission, and Compression of Big Data
  • Kinesis and Data Stream
  • Data Storage Solutions
  • Using DynamoDB to Store and Query Data
  • Processing Big Data
  • Operating Athena
  • Utilising Elastic MapReduce

Module 2: Apache Hadoop and EMR (Elastic MapReduce)

  • Apache Hadoop and EMR
  • Consolidating EMR with HUE
  • Function of Pig Scripts in Hue
  • Spark on EMR
  • Constructing and Querying Tables

Module 3: Big Data with Redshift in AWS

  • Big Data with Redshift
  • Visualising Big Data
  • Operating TIBCO Spotfire
  • Big Data Design Sequences
  • Data Warehouses
  • Redshift Environment Optimisation

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Who should attend this Big Data on AWS Training?

The Big Data on AWS Course is designed for professionals who want to gain expertise in processing and analysing large datasets using Amazon Web Services (AWS) technologies. This course can be beneficial to a variety of professionals, including:

  • Data Engineers
  • Data Scientists
  • Big Data Analysts
  • Data Analytics Managers
  • Business Intelligence Analysts
  • Data Warehousing Specialists
  • Big Data Consultants

Prerequisites of the Big Data on AWS Training

There are no formal prerequisites to attend the Big Data on AWS Course. However, a basic understanding of Big Data technologies and cloud computing can be beneficial to the delegates. 

Big Data on AWS Training Course Overview

Big Data has become essential for decision-making and business strategy in various industries. The Knowledge Academy provides this AWS Certification that teaches how to efficiently and effectively handle, process, and analyse large datasets using Amazon Web Services (AWS). Since AWS is a top cloud platform, mastering Big Data on AWS is vital for organisations aiming to stay competitive and innovative.

Proficiency in AWS Big Data is crucial for IT Professionals, Data Engineers, Data Scientists, and anyone engaged in data management and analytics. As cloud technologies continue to gain traction, organisations seek experts capable of designing, implementing, and fine-tuning Big Data solutions on AWS.

The 2-day AWS Big Data Certification course by The Knowledge Academy is crafted to equip delegates with a deep grasp of AWS services and tools specifically designed for managing Big Data tasks. This training offers hands-on practice in establishing data lakes, conducting analytics, and utilising AWS services such as Amazon EMR, Redshift, and Athena. Through practical exercises and real-world scenarios, attendees can promptly apply their newfound knowledge in their professional careers.

Course Objectives

  • To explore AWS Big Data services and their roles in data processing and analytics
  • To learn how to build and manage data lakes on AWS
  • To gain proficiency in using Amazon EMR for distributed data processing
  • To master data warehousing with Amazon Redshift
  • To perform ad-hoc querying with Amazon Athena
  • To discover best practices for securing and optimising Big Data solutions on AWS

After successfully finishing the Big Data on AWS Course, delegates will possess the necessary expertise to design and deploy cost-efficient, scalable Big Data solutions on the AWS platform.

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What’s included in this Big Data on AWS Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Big Data on AWS Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS Identity and Access Management (IAM) Training​ Course Outline

Module 1: Introduction to IAM

  • What is IAM?
  • How IAM Works?
  • Permissions and Policies in IAM
  • What is ABAC?
  • Security Features Outside IAM
  • Working with AWS SDKs

Module 2: Identities

  • Users and User Groups
  • Roles
  • Tagging IAM Resources
  • Temporary Security Credentials
  • AWS Account Root User
  • Log Events with CloudTrail

Module 3: Access Management

  • Policies and Permissions
  • Managing IAM Policies
  • Permissions Required

Module 4: Security

  • Data Protection
  • Logging and Monitoring
  • Compliance Validation
  • Resilience
  • Infrastructure Security
  • Configuration and Vulnerability Analysis
  • Security Use Cases
  • AWS Managed Policies

Module 5: Access Analyser

  • Resource Types
  • How Access Analyser Works?
  • Settings
  • Access Analyser Findings
  • Access Analyser Policy Validation and Generation
  • Archive Rules
  • Preview Access
  • Access Analyser Reference
  • Monitoring with EventBridge
  • Security Hub Integration
  • Logging with CloudTrail

Module 6: Troubleshooting IAM

  • General Issues
  • Access Denied Error Messages
  • IAM Policies
  • FIDO Security Keys
  • IAM Roles
  • IAM and Amazon EC2
  • IAM and Amazon S3
  • SAML Federation

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Who should attend this AWS Identity and Access Management (IAM) Training?

The AWS IAM Training Course is designed for professionals seeking to master the fundamental aspects of Identity and Access Management in Amazon Web Services. This course can be beneficial to various professionals, including:

  • System Administrators
  • Security Professionals
  • Solutions Architects
  • DevOps Engineers
  • Compliance Officers
  • Cloud Security Specialists
  • Technical Leads
  • IT Managers

Prerequisites of the AWS Identity and Access Management (IAM) Training

There are no formal prerequisites to attend the AWS Identity and Access Management Course. However, a basic understanding of cloud computing, networking and identity concepts, and access control concepts can be beneficial to delegates.

AWS Identity and Access Management (IAM) Training Course Overview

AWS Identity and Access Management (IAM) is a critical service that enables organisations to securely manage access to AWS resources. With the growing use of cloud infrastructure, IAM provides essential control over who can access specific resources, ensuring only authorised users have the appropriate permissions. This service helps safeguard sensitive data, maintain compliance, and reduce security risks across cloud environments.

This course is beneficial for cloud architects, system administrators, security engineers, and IT professionals responsible for managing AWS environments. It is also ideal for DevOps engineers and compliance officers who need to enforce security policies, ensuring data protection and regulatory adherence in their organisations.

This 1-day course by The Knowledge Academy equips professionals with the skills needed to configure and manage AWS IAM effectively. Delegates will learn to create and manage users, roles, and policies, ensuring secure and scalable access control in AWS environments.

Course Objectives

  • To understand the core concepts of AWS IAM
  • To create and manage IAM users and groups
  • To implement IAM policies to control resource access
  • To explore IAM roles for cross-account access
  • To learn to audit and monitor IAM activity
  • To enhance security with Multi-Factor Authentication (MFA)
  • To achieve compliance with IAM best practices

After completing this course, delegates will have a strong understanding of AWS IAM, enabling them to implement strong security measures and maintain compliance in their AWS setups. They will possess the knowledge and skills required to excel in AWS-related roles and make valuable contributions to their organisation's cloud security and management endeavours.

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What’s included in this AWS Identity and Access Management Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Identity and Access Management Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS Cloud9 Training Course Outline

Module 1: Introduction to AWS Cloud9

  • What is AWS Cloud9?
  • How Does AWS Cloud9 Work?
  • What can I Do with AWS Cloud9?
  • How Do I Get Started?

Module 2: Setting Up

  • Individual User Setup
  • Team Setup
  • Enterprise Setup
  • Additional Setup Options

Module 3: Working with Environments

  • Creating an Environment
  • Accessing No-Ingress EC2 Instances with Systems Manager
  • Opening an Environment
  • Call AWS Services from an Environment
  • Changing Environment Settings
  • Working with Shared Environments
  • Moving an Environment and Resizing/Encrypting Amazon EBS Volumes
  • Deleting an Environment

Module 4: Working with the IDE

  • Run an Application
  • Preview a Running Application
  • Reload an Application Preview
  • Change the Application Preview Type
  • Open an Application Preview in a Separate Web Browser Tab
  • Switch to a Different Preview URL

Module 5: AWS Toolkit

  • Navigating and Configuring
  • API Gateway
  • AWS App Runner
  • AWS CloudFormation Stacks
  • Amazon S3
  • AWS SAM Applications and Step Functions

Module 6: Security

  • Data Protection
  • Identity and Access Management
  • Logging and Monitoring
  • Compliance Validation
  • Infrastructure Security
  • Configuration and Vulnerability Analysis
  • Security Best Practices

Module 7: Troubleshooting AWS Cloud9

  • Environment Creation Error
  • Console Error
  • Federated Identities Cannot Create Environments
  • Cannot Open an Environment
  • AWS Cloud9 Installer Hangs or Fails
  • SSH Environment Error
  • Application Preview or File Preview Notice
  • Cannot Run Some Commands or Scripts in an EC2 Environment
  • Amazon EC2 Instances are Not Automatically Updated
  • Previewing a File Returns a 499 Error

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Who should attend this AWS Cloud9 Training Course?

The AWS Cloud9 Training Course is designed for professionals aiming to maximise their productivity with AWS Cloud9, a cloud-based integrated development environment. This AWS Certification can be beneficial to various professionals, including:

  • Software Developers
  • DevOps Engineers
  • Application Architects
  • System Administrators
  • Full-Stack Developers
  • Backend Developers
  • Frontend Developers
  • Solution Architects

Prerequisites of the AWS Cloud9 Training Course

There are no formal prerequisites to attend the AWS Cloud9 Course. However, a basic understanding of cloud computing would be beneficial to delegates.

AWS Cloud9 Training Course Overview

The AWS Cloud9 Course, provided by The Knowledge Academy, is a crucial resource for professionals who want to leverage the capabilities of cloud-based integrated development environments. Cloud9 is vital to Amazon Web Services (AWS) by helping developers streamline their coding processes and improve collaboration.

This course offers a comprehensive introduction to Cloud9, emphasising its importance in contemporary software development. Proficiency in AWS Cloud9 is indispensable for IT Professionals, Developers, and DevOps Engineers. Mastering this subject empowers them to expedite software development, improve team collaboration, and optimise resource utilisation.

This 1-day intensive training by The Knowledge Academy provides delegates with practical experience in setting up and using AWS Cloud9 to improve coding and collaboration. Delegates will learn to effectively manage development environments, seamlessly utilise AWS services, and troubleshoot issues. By the end of the course, delegates will gain full knowledge to integrate AWS Cloud9 into their workflow, enhancing productivity and code quality.

Course Objectives

  • To understand the fundamentals of AWS Cloud9
  • To create and manage development environments in AWS Cloud9
  • To integrate AWS services for enhanced development workflows
  • To collaborate effectively within the Cloud9 environment
  • To troubleshoot common issues in AWS Cloud9
  • To optimise coding and development processes
  • To explore best practices for AWS Cloud9 usage
  • To securely manage and store code in AWS Cloud9

After completing this AWS Course, delegates will learn to fully utilise AWS Cloud9 for daily development tasks. They can efficiently create collaborative and secure coding environments in the cloud, enhancing software development processes for greater productivity.

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What’s included in this AWS Cloud9 Training?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Cloud9 Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS Aurora Training Course Outline

Module 1: Introduction to AWS Aurora

  • What is Aurora?
  • Aurora DB Clusters
  • Aurora Versions
  • Regions and Availability Zones
  • Supported Aurora Features by Region and Engine
  • Aurora Connection Management

Module 2: Configuring Your Aurora DB Cluster

  • Creating a DB Cluster
  • Creating Resources with AWS CloudFormation
  • Using Aurora Global Databases
  • Working with Parameter Groups

Module 3: Managing an Aurora DB Cluster

  • Stopping and Starting a Cluster 
  • Modifying an Aurora DB Cluster 
  • Adding Aurora Replicas 
  • Managing Performance and Scaling 
  • Cloning a Volume for an Aurora DB Cluster 
  • Integrating with AWS Services 

Module 4: Monitoring an Aurora DB Cluster

  • Overview of Monitoring
  • Viewing Key Monitoring Information
  • Monitoring Aurora DB Cluster Metrics
  • Monitoring OS Metrics

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Who should attend this AWS Aurora Training?

The AWS Aurora Course is a comprehensive training course designed for professionals aiming to learn about Amazon Web Services Aurora database service and its features. This AWS Certification Training can be beneficial to a wide range of professionals, including:

  • Database Administrators
  • Database Engineers
  • Data Architects
  • Cloud Engineers
  • Solutions Architects
  • Cloud Operations Engineers
  • DevOps Engineers

Prerequisites of the AWS Aurora Training Course

There are no formal prerequisites to attend the AWS Aurora Course. However, a basic understanding of cloud computing and relational databases would be beneficial to delegates.

AWS Aurora Training Course Overview

AWS Aurora is a cutting-edge relational database service offered by Amazon Web Services that combines the performance and availability of high-end commercial databases with the simplicity and cost-effectiveness of open-source databases. Where data plays a pivotal role in business success, understanding and mastering AWS Aurora is crucial for organisations and IT professionals.

Proficiency in AWS Aurora is essential for IT professionals, database administrators, developers, and anyone working with databases in the cloud. With the growing adoption of AWS and the need for scalable, reliable, and high-performance databases, mastering AWS Aurora is a career-enhancing skill. This training course is designed to cater to beginners seeking to establish a solid foundation and experienced AWS users seeking to deepen their expertise.

This 2-day training course by The Knowledge Academy will equip delegates with the knowledge and practical skills to effectively deploy, manage, and optimise AWS Aurora databases. Delegates will learn about the architecture, best practices, and advanced features of AWS Aurora, enabling them to improve database performance, reduce costs, and ensure high availability. Hands-on exercises and real-world scenarios will reinforce learning, empowering delegates to implement what they've learned in their AWS environments.

Course Objectives

  • To Understand the fundamentals of AWS Aurora architecture
  • To learn how to provision and configure Aurora database instances
  • To implement best practices for optimizing Aurora database performance
  • To explore data security and compliance considerations in Aurora
  • To master database backups, replication, and failover strategies
  • To troubleshoot common issues and monitor Aurora databases effectively
  • To gain insights into scaling Aurora for high-demand workloads
  • To ensure high availability and disaster recovery for Aurora databases

After successful completion of this AWS Training Course, delegates will be well-prepared to leverage AWS Aurora effectively in their organisations. They will receive a certification of completion and access to valuable resources to further enhance their AWS skills.

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What’s included in this AWS Aurora Training?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Aurora Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS CloudFormation Training Course Outline

Module 1: Get Started with AWS CloudFormation

  • Introduction to AWS CloudFormation
  • AWS CloudFormation Features
  • Working of AWS CloudFormation

Module 2: Setting Up

  • Signing in for an AWS Account and Pricing
  • Controlling Access with IAM
  • Logging CloudFormation API Calls
  • AWS CloudFormation Limits
  • Setting Up VPC Endpoint for AWS CloudFormation

Module 3: Continuous Delivery with Code Pipeline

  • Overview of Building a Pipeline for Test and Production Stacks
  • Building a Pipeline for Test and Production Stacks
  • Configure Properties Reference
  • AWS CloudFormation Artifacts
  • Parameter Override Functions with Code Pipeline Pipelines

Module 4: Working with Stacks

  • Creating a Stack Using Console
  • Stack Updates
  • Detecting Unmanaged Configuration Changes to Stack and Resources
  • Exporting Stack Output Values
  • Working with Nested Stacks

Module 5: Working with Template

  • Template Format and Anatomy
  • Template Snippets
  • Custom Resources
  • Template Macros

Module 6: Working with AWS CloudFormation Stack Sets

  • Stack Set Concepts
  • Stack Set Operations
  • Create a New Stack Set
  • Update Stack Set
  • Add Stacks to Stack Set
  • Override Parameters on Stack Instance
  • Delete Stack Instances and Stack Sets

Module 7: Troubleshooting AWS CloudFormation

  • Troubleshooting Errors
    • Delete Stack Fails
    • Dependency Errors
    • Error Parsing Parameter When Passing a List
    • Insufficient IAM Permissions
    • Invalid Value or Unsupported Resource Property
    • Limit Exceeded
    • No Updates to Perform
    • Resource Failed to Stabilize During an Update, Delete Stack Operation or Create
    • Security Group does not Exist in VPC
    • Update Rollback Failed
    • Resource Removed from Stack but Not Deleted

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Who should attend this AWS CloudFormation Training Course?

The AWS CloudFormation Course is designed for professionals seeking to learn how to provision and manage infrastructure as code using Amazon Web Services (AWS) CloudFormation. This AWS Certification Training Course can be beneficial to various professionals, including:

  • AWS Cloud Engineers
  • Solutions Architects
  • DevOps Engineers
  • Infrastructure Automation Specialists
  • System Administrators
  • Cloud Operations Engineers
  • Application Deployment Engineers

Prerequisites of the AWS CloudFormation Training

There are no formal prerequisites to attend the AWS CloudFormation Course. However, a basic understanding of Infrastructure as Code (IaC) and cloud computing would be beneficial to delegates.   

AWS CloudFormation Training Course Overview

The AWS CloudFormation Course introduces delegates to AWS CloudFormation, a service that enables automated provisioning and management of AWS resources. As cloud computing becomes ubiquitous, automating infrastructure deployment is crucial for scalability, efficiency, and cost-effectiveness in managing complex cloud environments.

Mastering AWS CloudFormation is essential for IT professionals, developers, and system architects responsible for deploying and managing AWS infrastructure. Understanding CloudFormation allows professionals to automate resource provisioning, maintain consistency, and easily replicate infrastructure across environments, enhancing agility and reducing manual configuration errors.

The Knowledge Academy's 1-day training equips delegates with practical skills in using AWS CloudFormation to automate infrastructure deployment. Delegates learn how to create and manage CloudFormation templates, leverage best practices for infrastructure as code (IaC), and automate resource provisioning efficiently.

Course Objectives

  • To understand the fundamentals of AWS CloudFormation and infrastructure as code (IaC)
  • To learn how to develop, manage, and deploy CloudFormation templates
  • To automate the provisioning and administration of AWS resources
  • To implement best practices for CloudFormation stack management and version control
  • To troubleshoot and debug CloudFormation templates effectively
  • To integrate CloudFormation into CI/CD pipelines for seamless application deployment

Upon course completion, delegates will possess the knowledge and skills to automate AWS infrastructure deployment using CloudFormation, streamlining operations, improving scalability, and reducing manual effort and errors in managing cloud environments.

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What’s included in this AWS CloudFormation Training?

  • World-Class Training Sessions from Experienced Instructors
  • AWS CloudFormation Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS API Gateway Training Course

The following modules cover all the essential elements to acquire the skill to create and deploy APIs in Amazon. From these technically arranged modules, delegates will understand how to manage and maintain the APIs and get a better ability to apply strategies in APIs field.

Module 1: Introduction to AWS API Gateway

  • AWS API Gateway Overview
  • AWS API Gateway Concepts
  • Features of AWS API Gateway
  • Architecture of AWS API Gateway

Module 2: REST API in AWS API Gateway

  • Introduction to REST API
  • Creating REST API in AWS API Gateway
  • Managing Access to a REST API
  • Deploying and Invoking a REST API 
  • Monitoring an API in API Gateway

Module 3: WebSocket API in AWS API Gateway

  • Introduction to WebSocket API
  • Create a WebSocket API in AWS API Gateway
  • WebSocket API Routes
  • Integrations WebSocket API Overview
  • Deploying a WebSocket API
  • Invoking a WebSocket API
  • Monitoring in WebSocket API

Module 4: Publishing APIs

  • Developer Portal
  • Set Up a Custom Domain Name for API
  • Software Development Strategy Release

Module 5: Monitoring API Configuration in AWS API Gateway

  • Monitor Resource Types
    • Types of Resources
    • Configuring AWS Config to Record API Gateway Resources
    • Evaluating API Gateway Resources Using AWS Config Rules   

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Who Should Attend the AWS API Gateway Training Course?

The AWS API Gateway Training course is designed for professionals seeking to master the creation, deployment, and management of APIs using Amazon Web Services (AWS) API Gateway. This course will benefit the following professionals:

  • API Developers
  • API Architects
  • Backend Developers
  • Solution Architects
  • Software Engineers
  • Application Developers
  • DevOps Engineers
  • System Administrators
  • Technical Leaders

Prerequisites of the AWS API Gateway Training Course

There are no formal prerequisites to attend the AWS API Gateway Training Course. However, a basic understanding of cloud computing would be beneficial.

AWS API Gateway Training Course Overview

AWS API Gateway is a fully managed service that simplifies the creation, deployment, and management of APIs at any scale. It enables developers to build secure and scalable APIs for their applications, allowing seamless communication between various components. With the increasing demand for cloud-based solutions, understanding API Gateway is essential for enhancing application performance, ensuring security, and enabling efficient resource management.

This course is particularly beneficial for software developers, cloud architects, DevOps engineers, and IT professionals involved in designing and managing APIs. Additionally, business analysts and product managers who seek to understand the technical aspects of API integrations will find this training invaluable. Mastering AWS API Gateway allows these professionals to streamline workflows and improve application functionality.

This 1-day course by The Knowledge Academy provides professionals with the essential skills to effectively use AWS API Gateway. Delegates will learn to create, deploy, and manage APIs with ease, enabling them to implement scalable and secure applications. The training also covers best practices for API design, monitoring, and troubleshooting, ensuring delegates can optimise their API performance in real-world scenarios.

Course Objectives

  • To understand the fundamentals of AWS API Gateway
  • To create and manage RESTful APIs using API Gateway
  • To implement authentication and authorization for APIs
  • To integrate APIs with AWS services and Lambda functions
  • To monitor API performance and usage metrics
  • To troubleshoot common API issues and implement best practices

Upon completion of the course, delegates will have the skills to design and manage robust APIs effectively, allowing them to enhance application performance and integrate seamlessly with various AWS services, ultimately driving business success.

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What’s included in this AWS API Gateway Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS API Gateway Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

Amazon SageMaker Training Course Outline

Module 1: Introduction to Amazon SageMaker

  • What is Amazon SageMaker?
  • Machine Learning with Amazon SageMaker
  • Explore and Preprocess Data
  • Model Training and Deployment

Module 2: Setting Up Amazon SageMaker

  • Create an IAM Administrator User and Group

Module 3: Get Started with Amazon SageMaker

  • Create an Amazon S3 Bucket
  • Create an Amazon SageMaker Notebook Instance
  • Create a Jupyter Notebook
  • Download, Explore, and Transform Data
  • Train, Deploy, and Validate Model
  • Clean Up

Module 4: Using Notebook Instances

  • Create and Access Notebook Instances
  • Use Example Notebooks
  • Notebook Instance Software Updates
  • Setting the Notebook Kernel
  • Installing External Libraries and Kernels in Notebook Instances
  • Creating Git Repositories with Amazon SageMaker Notebook Instances
  • Monitoring Jupyter Logs in Amazon CloudWatch Logs

Module 5: Build, Train, and Deploy a Model

  • Built-in Algorithms
  • Incremental Training
  • Managed Spot Training
  • Using Checkpoints
  • Automatic Model Tuning
  • Augmented Manifest Files
  • Amazon SageMaker Neo

Module 6: Amazon SageMaker with ECR

  • Basics of Docker Containers
  • Amazon SageMaker Containers
  • Use Prebuilt SageMaker Docker Images
  • Creating Training Job with ECR

Module 7: Reinforcement Learning with Amazon SageMaker RL

  • Markov Decision Process (MDP)
  • Sample RL Workflow Using Amazon SageMaker RL
  • RL Environments in Amazon SageMaker
  • Distributed Training
  • Hyperparameter Tuning

Module 8: Security in Amazon SageMaker

  • Data Protection
  • Identity and Access Management
  • Logging and Monitoring
  • Compliance Validation

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Who should attend this Amazon SageMaker Training Course?

The Amazon SageMaker Training Course is designed for individuals who want to gain an understanding of machine learning and deploy the same for practical applications. The Amazon SageMaker Training Course can benefit professionals such as:

  • Data Scientists
  • Machine Learning Engineers
  • Data Engineers
  • Data Analysts
  • Cloud Architects
  • Financial Analysts
  • Technical Managers

Prerequisites of the Amazon SageMaker Training Course

There are no formal prerequisites for this Amazon SageMaker Course. However, a basic understanding of machine learning can be beneficial for the delgates.

Amazon SageMaker Training Course Overview

Amazon SageMaker is a fully managed service that provides developers and data scientists with the tools to build, train, and deploy machine learning models at scale. As businesses increasingly turn to AI to drive insights and automate processes, understanding how to leverage SageMaker is essential for organisations looking to enhance their operational efficiency and gain a competitive edge in their respective markets.

This course is particularly beneficial for data scientists, machine learning engineers, AI developers, and business analysts who want to harness the power of machine learning in their projects. Additionally, IT professionals and managers overseeing data-driven initiatives will find the course valuable for understanding the capabilities of SageMaker and its impact on business strategy.

This 2-days course by The Knowledge Academy equips professionals with the skills necessary to effectively utilise Amazon SageMaker for machine learning projects. Delegates will learn how to create, train, and deploy models while exploring best practices for optimising performance and managing machine learning workflows, enabling them to implement data-driven solutions confidently.

Course Objectives

  • To understand the core concepts of machine learning and Amazon SageMaker
  • To create and configure SageMaker environments for development
  • To train machine learning models using built-in algorithms
  • To deploy and manage machine learning models in production
  • To implement best practices for data preparation and feature engineering
  • To evaluate model performance and optimise results

Upon completion of the course, delegates will have the skills to effectively apply Amazon SageMaker in real-world scenarios, enabling them to develop robust machine learning models and drive significant business value through data-driven decision-making and innovation.

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What’s included in this Amazon SageMaker Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon SageMaker Certificate
  • Digital Delegate Pack

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Not sure which course to choose?

Speak to a training expert for advice if you are unsure of what course is right for you. Give us a call on 01344203999 or Enquire.

Package deals for AWS Certification Training Courses

Our training experts have compiled a range of course packages on a variety of categories in AWS Certification Training Courses, to boost your career. The packages consist of the best possible qualifications with AWS Certification Training Courses, and allows you to purchase multiple courses at a discounted rate.

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AWS Certification Training Courses FAQs

The AWS Certification is a credential awarded by Amazon Web Services (AWS) to individuals who demonstrate proficiency and expertise in various AWS Cloud Computing services and technologies. These certifications validate a person's technical knowledge, skills, and ability to design, implement, and manage AWS solutions effectively.
This AWS Course enhances your cloud expertise, validates your skills, improves job prospects, and can lead to higher earning potential in cloud computing roles.
Learning about AWS is important because it is a dominant Cloud services provider, offers scalability and flexibility, provides cost efficiency, offers a wide range of services, and promotes innovation with cutting-edge technologies. This AWS Course also offers security knowledge and supports continuous learning and career growth.
Businesses, startups, government agencies, educational institutions, and individuals utilise AWS for Cloud Computing needs. This includes companies of all sizes, spanning various industries like technology, finance, healthcare, media, and more, seeking scalable, reliable, and secure cloud solutions for their operations and applications.
In this AWS Course, the objectives are to provide comprehensive knowledge and practical skills necessary to pass the AWS exams, build expertise in cloud computing, and equip delegates with the confidence and competence to excel in their careers as AWS professionals.
Anyone who wants to validate their AWS skills and expertise should consider these courses. It is suitable for Developers, IT Professionals, System Administrators, Architects, and individuals seeking career opportunities in Cloud Computing.
There are no prerequisites for AWS Certifications. However, delegates are encouraged to garner some experience with AWS services to make the most out of our courses.
The Knowledge Academy offers several advanced AWS Certification Training Courses, including AWS Professional Solutions Architect Training Course, AWS Advanced Architecture Certification Training Course, DevOps Engineering on AWS - Professional Certification, etc.
While some AWS services can be utilised without extensive programming knowledge, others require scripting or programming skills for effective implementation and customisation. Please refer to our AWS Certification Training Course pages for specific information.
Topics covered in this AWS Course include cloud concepts, security, architecture, pricing, support, services like EC2, S3, RDS, VPC, and best practices for deploying and managing applications on AWS.
With an AWS Certification, you can expect job roles such as AWS Solutions Architect, AWS Developer, AWS SysOps Administrator, Cloud Engineer, DevOps Engineer, Cloud Architect, and Cloud Consultant. These roles involve designing, implementing, and managing AWS solutions, infrastructure, and applications.
The Knowledge Academy’s AWS Courses span 1 to 3 days in the United Kingdom, depending on the course intensity and format.
Prepare by studying AWS documentation, taking practice exams, regisering for AWS Courses, using hands-on labs, and reviewing exam guides.
To become AWS-certified, individuals need to select a certification path like Architect or Developer, prepare for the exam, and then pass the corresponding certification exam to demonstrate their proficiency in AWS services and best practices. You can explore the complete list of our AWS Certifications from our Course Catalogue.
The difficulty level of acquiring AWS Certifications varies depending on the certification level and your prior experience and knowledge of AWS. Hands-on experience with AWS services and proper preparation for the exam via AWS Courses can significantly increase your chances of earning the certificate.
Yes, AWS offers excellent career opportunities as it is widely adopted by organisations worldwide. As the demand for cloud computing and AWS skills have increased, AWS Certifications lead to lucrative job prospects and career growth. It also provides opportunities for ongoing learning as it continually releases new services and features.
Should you encounter any difficulties accessing AWS Certification Course materials, our customer support team is available to assist and promptly resolve any issues you may encounter.
For assistance with your AWS Certification Course access issues, please contact our Customer Support Team, who is available 24/7, using the contact information provided on our official website.
The Knowledge Academy in the United Kingdom is a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking AWS Certification Training Courses.
Choose your AWS Course based on your career goals, current skill level, job requirements, and areas of interest within AWS services and roles.
The Knowledge Academy is the Leading global training provider for AWS Certification Training Courses.
The training fees for AWS Certification Training Courses in the United Kingdom starts from £1295
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