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 part of our AWS Certification Suite 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)

Classroom (1 days)

Online Self-paced (8 hours)

AWS Technical Essentials Training Course Outline 

Module 1: Introducing AWS Technical and History

  • Introduction to AWS
  • Understanding Regions and AZ’s
  • AWS Console
  • History of AWS

Module 2: Foundational Services of AWS

  • Foundational Services
  • Virtual Private Cloud
  • Elastic Compute Cloud
  • Elastic Block Store
  • Amazon S3

Module 3: AWS Security

  • AWS Security Credentials
  • Using Encryption in S3
  • Signing AWS API Requests
  • Using Multi-Factor Authentication (MFA) in AWS
  • Logging
  • EC2 Security and Networking
  • Security in VPC

Module 4: Identity Access Management (IAM)

  • Introduction to IAM
  • IAM Features
  • Identities

Module 5: Databases of AWS

  • DynamoDB
  • Amazon Relational Database Service (RDS)

Module 6: AWS Management Tools

  • CloudWatch
  • Elastic Load Balancing
  • Auto Scaling

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Who Should Attend the AWS Technical Essentials Training Course?

The AWS Technical Essentials Training Course is designed for professionals who want to get started with Amazon Web Services (AWS) and understand its core services and functionalities. This course will benefit the following professionals:

  • IT Professionals
  • System Administrators
  • Developers
  • Solutions Architects
  • Cloud Operations Engineers
  • Network Administrators
  • DevOps Engineers
  • Technical Support Specialists

Prerequisites of the AWS Technical Essentials Training Course

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

AWS Technical Essentials Training Course Overview

The AWS Technical Essentials Training Course provides delegates with the foundational knowledge necessary to navigate the AWS platform. With businesses increasingly adopting cloud technologies, the course equips individuals with the skills to leverage AWS services effectively. It helps bridge the gap between IT professionals and cloud computing, enhancing career prospects in the rapidly growing cloud industry.

This AWS Technical Essentials Training is ideal for IT Professionals, Developers, and anyone looking to expand their knowledge of AWS. By gaining hands-on experience with core AWS services, delegates can advance their careers by offering sought-after skills in cloud management and development. With AWS continuing to dominate the cloud space, mastering its platform opens opportunities for growth and leadership roles in the tech sector.

This 1 Day AWS Technical Essentials Training, provided by The Knowledge Academy, is designed to equip delegates with essential AWS cloud knowledge. Through practical, real-world applications, delegates gain a deeper understanding of AWS services and cloud infrastructure. This training enables delegates to make informed decisions and deploy AWS technologies with confidence, offering them a competitive edge in their careers.

Course Objectives

  • To understand core AWS services and their applications
  • To explore how AWS can help organisations scale and innovate
  • To gain hands-on experience using AWS Management Console
  • To comprehend AWS pricing, billing, and cost management tools
  • To learn cloud deployment strategies on AWS
  • To familiarise with best practices for cloud security on AWS

Upon completion of this AWS Technical Essentials Training, delegates will have a solid understanding of AWS, enabling them to effectively use core AWS services and start exploring more advanced cloud technologies. They will be equipped to contribute to cloud-based projects, improving their technical capabilities and enhancing their value to organisations leveraging AWS for their infrastructure needs.

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What’s included in this AWS Technical Essentials Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Technical Essentials 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
  • Utilizing 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
  • Visualizing Big Data
  • Operating TIBCO Spotfire
  • Big Data Design Sequences
  • Data Warehouses
  • Redshift Environment Optimization

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Who should attend this Big Data on AWS Training Course?

The Big Data on AWS Course in India is designed for professionals who want to gain expertise in processing and analyzing 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 Course

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

Big Data on AWS Training Overview

In the contemporary business landscape, Big Data has emerged as a critical asset for decision-making and strategic planning across various industries. The AWS Certification in Big Data offered by The Knowledge Academy in India is designed to teach professionals how to efficiently handle, process, and analyze large datasets using Amazon Web Services (AWS). Given that AWS is a leading cloud platform, mastering it becomes imperative.

Proficiency in AWS Big Data is essential for IT Professionals, Data Engineers, Data Scientists, and individuals involved in data management and analytics. With the increasing adoption of cloud technologies, organizations are actively seeking experts capable of designing, implementing, and optimizing Big Data solutions on AWS.

This 2-day AWS Big Data Certification in India goes beyond theory, offering hands-on practice in establishing data lakes, conducting analytics, and utilizing key AWS services such as Amazon EMR, Redshift, and Athena. Through practical exercises and real-world scenarios, attendees gain the practical skills and confidence to promptly apply their newfound knowledge in their professional careers, making a tangible impact on their organizations' data management capabilities.

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 optimizing Big Data solutions on AWS

Upon completion of this course in India, delegates will benefit by gaining comprehensive knowledge and practical skills in handling Big Data on AWS. The hands-on practice and exposure to key AWS services ensure that participants are well-prepared to excel in designing, implementing, and optimizing Big Data solutions in real-world scenarios. This certification enhances career prospects by making professionals valuable assets in the era of data-driven decision-making.

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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

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Amazon ECS Training Course Outline

This course teaches delegates about the Elastic Container Services and will explore the following topics:

Module 1: Get Started with Amazon ECS

  • Introduction to Amazon ECS
  • Docker Basics for Amazon ECS
  • Getting Started with Amazon ECS Using Fargate

Module 2: AWS Fargate

  • AWS Fargate Platform Version

Module 3: Amazon ECS Cluster

  • Creating a Cluster
  • Scaling a Cluster
  • Updating Cluster Settings
  • Deleting a Cluster

Module 4: Amazon ECS Task Definitions

  • Application Architecture
  • Creating a Task Definition
  • Task Definition Parameters
  • Amazon ECS Launch Types
  • Working with GPUs on Amazon ECS
  • Using Data Volumes in Tasks
  • Task Networking
  • Using the AWSlogs Log Driver
  • Custom Log Routing
  • Private Registry Authentication for Tasks
  • Specifying Sensitive Data
  • Update and Deregistering Definition

Module 5: Explore Account Settings

  • Viewing Account Settings
  • Modifying Account Setting

Module 6: Amazon ECS Container Instance

  • Amazon ECS-Optimised AMI’s
  • Retrieving Amazon ECS-Optimised AMI Metadata
  • Launching a Container Instance
  • Bootstrap Container Instances
  • Elastic Network Interface Trunking
  • Connect to your Container
  • CloudWatch Logs
  • Deregister Container Instance
  • Container Instance Draining
  • Memory Management
  • Managing Container Swap Space
  • Manage Container Instances Remotely

Module 7: Container Agents

  • Installing Amazon ECS Container Agent
  • Container Agent Version
  • Updating Amazon ECS Container Agent
  • Amazon ECS Container Agent Configuration
  • Private Registry Authentication for Container Instance
  • Automated Task and Image Cleanup
  • Container Metadata File
  • Task Metadata Endpoint
  • Amazon ECS Container Agent Introspection
  • HTTP Proxy Configuration

Module 8: Scheduling the Amazon ECS Task

  • Task Placements: Strategies, Constraints and Cluster Query Language Scheduled Task (Cron)
  • Task Lifecycle, Retirement and Fargate Task Maintenance
  • Task Lifecycle, Retirement and Fargate Task Recycling

Module 9: Overview of Services

  • Service Definition Parameters
  • Deployment Types
  • Service Load Balancing
  • Service Discovery
  • Service Throttle Logic

Module 10: Monitoring Amazon ECS

  • Monitoring Tools
  • CloudWatch Metrics and Events
  • CloudWatch Container Insights
  • Logging Amazon ECS API Calls with CloudTrail

Module 11: Security in Amazon Elastic Container Service

  • Identity and Access Management
  • Logging and Monitoring in Amazon ECS

Module 12: Amazon ECS Command Line Interface

  • Installing and Configuring the Amazon ECS CLI
  • Migrating Configuration Files
  • Creating a Cluster with a Fargate Task and EC2 Task using the Amazon ECS CLI

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Who Should Attend the Amazon ECS Training Course?

The Amazon Elastic Container Service (ECS) Training Course is designed for professionals seeking to master the deployment and management of containerised applications using Amazon ECS. This course will benefit the following professionals:

  • DevOps Engineers
  • Software Engineers
  • Cloud Architects
  • System Administrators
  • Solution Architects
  • Application Developers
  • Technical Leads
  • IT Managers

Prerequisites of the Amazon ECS Training Course

There are no formal prerequisites to attend the Amazon ECS Training Course. 

Amazon ECS Training Course Overview

The Amazon ECS Training Course is designed to provide delegates with the essential skills to manage containerised applications using Amazon Elastic Container Service (ECS). This training is crucial as containerisation has become the industry standard for efficient app deployment, scalability, and management. By mastering ECS, delegates can optimise cloud infrastructure and enhance application performance, benefiting both individuals and organisations in today’s tech-driven world.

This course is ideal for IT professionals, DevOps engineers, and cloud architects seeking to gain expertise in container management. By mastering ECS, delegates can enhance their career prospects, improve workflow automation, and lead cloud-native initiatives in their organisations. Understanding ECS enables professionals to stay competitive and be at the forefront of emerging technologies that drive digital transformation.

This 1 Day course, provided by The Knowledge Academy, offers comprehensive instruction in deploying and managing applications using Amazon ECS. By undertaking this training, delegates can gain practical experience, master cloud-based solutions, and effectively contribute to their organisation’s cloud strategy. The knowledge gained equips delegates with the tools needed to optimise performance, reduce costs, and scale applications seamlessly.

Course Objectives

  • To understand the fundamentals of containerisation and ECS
  • To learn how to deploy containerized applications in the cloud
  • To explore ECS service and cluster management
  • To manage ECS tasks and services with automation tools
  • To ensure secure and efficient container environments
  • To integrate ECS with other AWS services for scalability

Upon completing the course, delegates will be proficient in deploying and managing scalable containerised applications on Amazon ECS, ensuring efficiency, security, and performance optimisation. They will be equipped to implement best practices in container orchestration and drive cloud adoption initiatives within their organisations.
 

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What’s included in this Amazon ECS Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon ECS 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 (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS CloudTrail Training Course Outline

Module 1: Introduction to AWS CloudTrail

  • What is AWS CloudTrail?
  • How CloudTrail Works
  • CloudTrail Workflow and Concepts
  • CloudTrail Supported Regions

Module 2: Working with CloudTrail

  • Viewing Events with CloudTrail Event History
  • Viewing CloudTrail Insights Events
  • Creating a Trail for your AWS Account
  • Creating a Trail for an Organisation
  • Copying Trail Events to CloudTrail Lake
  • Getting and Viewing your CloudTrail Log Files
  • Configuring Amazon SNS Notifications for CloudTrail
  • Controlling User Permissions for CloudTrail
  • Tips for Managing Trails
  • Using AWS CloudTrail with Interface VPC Endpoints
  • Viewing Service-Linked Channels by Using the AWS CLI

Module 3: Working with CloudTrail Lake

  • CloudTrail Lake Supported Regions
  • Create an Event Data Store
  • Manage Event Data Store Lifecycles
  • Copy Trail Events to an Event Data Store
  • Create an Integration with an Event Source Outside of AWS
  • View Lake Dashboards
  • Create or Edit a Query
  • Learning Resources
  • Managing CloudTrail Lake by Using the AWS CLI
  • CloudTrail Lake SQL Constraints
  • Supported CloudWatch Metrics

Module 4: CloudTrail log files

  • Monitoring CloudTrail log Files with Amazon CloudWatch Logs
  • Receiving CloudTrail log Files from Multiple Accounts
  • Sharing CloudTrail Log Files Between AWS Accounts
  • Validating CloudTrail Log File Integrity
  • Using the CloudTrail Processing Library

Module 5: Setting and Security

  • Organisation Delegated Administrator
  • Data Protection
  • Encrypting CloudTrail log Files with AWS KMS Keys (SSE-KMS)

Module 6: Log event reference

  • CloudTrail Record Contents
  • Non-API Events Captured by CloudTrail

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Who should attend this AWS CloudTrail Training Course?

The AWS CloudTrail Training Course is designed for individuals who want to learn how to monitor and audit their AWS resources and activities using AWS CloudTrail. This course is beneficial for various professionals including:

  • Cloud Administrators
  • Security Engineers
  • Compliance Officers
  • Auditors
  • System Administrators
  • DevOps Engineers
  • Security Analysts

Prerequisites for the AWS CloudTrail Training Course

There are no formal prerequisites for this AWS CloudTrail Training Course. However, having a basic understanding of cloud computing concepts and familiarity with Amazon Web Services (AWS) fundamentals will be more beneficial for delegates.

AWS CloudTrail Training Course Overview

AWS CloudTrail is a powerful service that enables organisations to monitor and track user activity and API usage across their AWS accounts and resources. It ensures transparency and accountability, enabling organisations to meet regulatory requirements and swiftly identify and respond to security incidents. This training helps organisations strengthen their security measures by tracking and analysing user activities, thus enhancing their overall compliance posture. This training equips learners with advanced cloud security and auditing skills, making them adept at monitoring and tracking user activity and API usage within AWS environments. Pursuing this training helps individuals get equipped with the necessary skills and techniques to enhance their career opportunities and ultimately increase their earnings.

This 1-day AWS CloudTrail Training Course provides delegates with essential skills and techniques utilise AWS CloudTrail to monitor and track user activity and API usage across their AWS accounts and resources. During this training, they will learn about how to create and manage trails, viewing and analysing CloudTrail log files, and leveraging CloudTrail Lake for efficient event data storage and analysis. This course will be taught by our expert trainer, who has years of experience teaching Amazon AWS Training courses.

Objective

  • To comprehend the concept of AWS CloudTrail and its significance in cloud security and governance
  • To learn how to create, configure, and manage trails to track AWS account activity effectively
  • To explore the capabilities of CloudTrail Lake for storing and analysing event data in AWS environments
  • To implement data protection measures, including encrypting CloudTrail log files with AWS KMS keys
  • To understand the various log event references captured by CloudTrail, including non-API events

After attending this training, delegates will be able to design and implement robust monitoring and auditing solutions using AWS CloudTrail in their AWS environments. They will also be able to create and manage trails, analyse log files, and utilise CloudTrail Lake for efficient event data storage and analysis.

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What’s included in this AWS CloudTrail Training Course?

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

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS DynamoDB Training Course Outline

Module 1: What is Amazon DynamoDB?

  • How it Works
  • From SQL to NoSQL
  • Additional Resources for Amazon DynamoDB
  • Setting up DynamoDB
  • Accessing DynamoDB

Module 2: Getting Started with DynamoDB

  • Create a Table
  • Write Data
  • Read Data
  • Update Data
  • Query Data
  • Create a Global Secondary Index
  • Query the Global Secondary Index
  • (Optional) Clean Up

Module 3: Getting Started with DynamoDB and the AWS SDKs

  • Create a Table
  • Write an Item
  • Read an Item
  • Update an Item
  • Delete an Item
  • Query a Table
  • Scan a Table
  • Working with AWS SDKs

Module 4: Programming with DynamoDB

  • Overview of AWS SDK Support for DynamoDB
  • Higher-Level Programming Interfaces
  • Running the Code Examples

 

Module 5: Working with DynamoDB

  • Working with Tables
  • Working with Read and Write Operations
  • Working with Indexes
  • Working with Transactions
  • Working with Streams
  • Working with On-Demand Backup and Restore
  • Working with Point-in-Time Recovery

Module 6: In-Memory Acceleration with DAX

  • How it Works
  • DAX Cluster Components
  • Creating a DAX Cluster
  • Consistency Models
  • Developing with the DAX Client
  • Managing DAX Clusters
  • Monitoring DAX
  • DAX T3/T2 Burstable Instances
  • DAX Access Control
  • DAX Encryption at Rest
  • DAX Encryption in Transit
  • Using Service-Linked Roles for DAX
  • Accessing DAX Across AWS Accounts

Module 7: Data Modeling

  • Data Modeling Foundations
  • Data Modeling Building Blocks
  • Data Modeling Schema Design Packages

Module 8: Monitoring and Troubleshooting

  • Logging and Monitoring in DynamoDB
  • Logging and Monitoring in DAX
  • Contributor Insights
  • Using User Notifications with Amazon DynamoDB
  • Latency
  • Throttling

Module 9: Integrating with Other AWS Services

  • Integrating with Amazon Cognito
  • Integrating with Amazon Redshift
  • Integrating with Amazon EMR
  • Integrating with S3
  • Quotas and Limits
  • API Reference

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Who Should Attend the AWS DynamoDB Training Course?

The AWS DynamoDB Training Course is designed to enable professionals to gain proficiency in Amazon Web Services (AWS) DynamoDB, a NoSQL database service.  This course will help professionals, including:

  • Cloud Architects
  • Database Administrators
  • Software Developers
  • Data Engineers
  • DevOps Engineers
  • System Administrators
  • Solutions Architects
  • IT Managers

Prerequisites of the AWS DynamoDB Training Course

There are no formal prerequisites to attend the AWS DynamoDB Training Course. However, a basic understanding of Java programming and query languages would be beneficial. 

AWS DynamoDB Training Course Overview

AWS DynamoDB is a fully managed NoSQL database service designed for high availability and scalability, enabling developers to build applications that can handle large volumes of data with low latency. As businesses increasingly rely on real-time data processing and analytics, understanding DynamoDB's capabilities is essential for creating efficient and resilient applications. Its flexible data model and seamless integration with other AWS services make it a critical tool for modern cloud-based architectures.

Professionals who will benefit from this course include developers, data engineers, cloud architects, and IT professionals seeking to leverage DynamoDB for building scalable applications. Additionally, product managers and data analysts looking to gain insights into database management will find the course invaluable for understanding how to effectively store and retrieve data using AWS services.

This 2-days course by The Knowledge Academy equips delegates with practical skills in implementing and managing DynamoDB. Delegates will learn how to create, configure, and optimise DynamoDB tables, as well as integrate them with other AWS services. This course will enhance their ability to develop applications that require fast and predictable performance, ensuring they can meet modern business demands.

Course Objectives

  • To understand the core concepts of AWS DynamoDB
  • To create and configure DynamoDB tables
  • To manage data effectively using DynamoDB
  • To implement DynamoDB best practices for performance optimisation
  • To integrate DynamoDB with other AWS services
  • To troubleshoot common issues related to DynamoDB

Upon completion of the course, delegates will have the expertise to design and implement DynamoDB solutions in real-world applications, allowing them to optimise data storage and retrieval while ensuring high performance and scalability in cloud environments.

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What’s included in this AWS DynamoDB Training Course?

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

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Amazon Worklink Training​ Course Outline

Amazon Worklink is a cloud service that provides secure access to the internal website and web apps from android and iOS phones. Our Amazon Worklink Training will cover the following topics:

Module 1: Introduction to Amazon WorkLink

  • What is Amazon WorkLink?
  • Use Cases and Benefits
  • Overview of Amazon WorkLink Architecture
  • Traditional Mobile Device Management (MDM) Solutions

Module 2: Getting Started with Amazon WorkLink

  • Setting Up an Amazon WorkLink Account
  • Navigating the Amazon WorkLink Console
  • Creating and Managing User Profiles
  • Configuring Authentication and User Access

Module 3: Implementing Mobile Device Management

  • Introduction to Mobile Device Management
  • Enabling MDM for Mobile Devices
  • Managing Device Policies and Compliance
  • Integrating with Existing MDM Solutions

Module 4: Browser Isolation and Rendering

  • How Amazon WorkLink Ensures Security?
  • Browser Isolation and Rendering Techniques
  • Encrypted Connections and Data Protection
  • Managing Browser Settings for Security

Module 5: User Experience and Accessibility

  • Ensuring a Smooth User Experience
  • Accessing Corporate Intranet Sites
  • Optimising Web Content for Mobile Devices
  • Addressing Accessibility Requirements

Module 6: Integration with Enterprise Applications

  • Connecting Amazon WorkLink to Corporate Resources
  • Integrating with Single Sign-On (SSO)
  • Secure Access to Intranet Sites and Web Apps
  • Troubleshooting Integration Issues

Module 7: Monitoring and Reporting

  • Monitoring User Activity and Usage
  • Generating Reports and Analytics
  • Identifying and Addressing Security Incidents
  • Customising Alerts and Notifications

Module 8: Scaling and Performance Optimisation

  • Scaling Amazon WorkLink for Large Organisations
  • Load Balancing and Performance Optimisation
  • Managing Network and Bandwidth Considerations
  • Ensuring High Availability and Redundancy

 

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Who Should Attend the Amazon Worklink Training Course?

The AWS Worklink Training is designed for professionals who want to enhance their skills in machine learning using Amazon Web Services. This course will benefit the following professionals:

  • Data Scientists
  • Machine Learning Engineers
  • Software Developers
  • Data Engineers
  • AI Researchers
  • Solution Architects
  • Analytics Managers

Prerequisites of the Amazon Worklink Training Course

There are no formal prerequisites to attend the Amazon Worklink Training Course. 

Amazon Worklink Training​ Course Overview

Amazon Worklink is a cloud service providing secure access to internal websites and web apps from Android and iOS phones. It authenticates the user’s access and securely renders authorised internal web content in reliable rendering service in the AWS cloud. In Amazon Worklink, any internal web content cannot be downloaded and stored on mobile devices. It also reduces the risk of information loss.

In this course, delegates will learn how Amazon Worklink works with SAML- based identity providers. It is a fully managed service, which handles deployment, automatic scaling, capacity provisioning, and updates to browsers and resources in the cloud. Delegates can use Amazon Worklink with Google Chrome on Android phones and Safari on iOS to access internal websites. On completion of this course, delegates will learn how to manage their company network, device policies, users, and devices.

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What’s included in this Amazon Worklink Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon Worklink 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 3 Day AWS Associate Machine Learning Engineer Training provided by The Knowledge Academy, 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 (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Amazon Managed Blockchain Training​ Course Outline

Module 1: Get Started with AWS Managed Blockchain

  • Introduction to Managed Blockchain
  • Managed Blockchain Concepts
  • Create and Delete a Network
  • Invite Network Members
  • Create KMS Keys

Module 2: Invitation

  • Invitation Overview

Module 3: Work with Peer Nodes

  • Create a Peer Node
  • Using Peer Nodes Metrics

Module 4:  Create an Interface VPC Endpoint

  • Create an Interface VPC Endpoint

Module 5: Working with Hyperledger Fabric

  • Develop Chaincode

Module 6: Security

  • Data Protection
  • Authentication and Access Control
  • IAM Policies
  • Configuring Security Groups

Module 7: Tagging Resources

  • Tagging Amazon Managed Blockchain Resources

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Who Should Attend the Amazon Managed Blockchain Training Course?

The Amazon Managed Blockchain Training is designed for professionals interested in understanding and utilising Amazon Web Services (AWS) Managed Blockchain for building, managing, and scaling blockchain networks. This course will benefit the following professionals:

  • Blockchain Developers
  • DevOps Engineers
  • Technical Leads
  • Blockchain Project Managers
  • Cryptocurrency Developers
  • Blockchain Technology Consultants
  • Entrepreneurs

Prerequisites of the Amazon Managed Blockchain Training Course

There are no formal prerequisites to attend the Amazon Managed Blockchain Training Course. However, a basic understanding of blockchain and cloud computing would be beneficial.  

Amazon Managed Blockchain Training​ Course Overview

In this course, delegates will learn about Amazon Managed Blockchain. It is a fully managed services to create and maintain a Blockchain network using an open-source framework. Blockchain allows delegates to build an application where multiple parties can securely run the transaction and share data.

During this 1-day course, delegates will learn how to use managed blockchain network quickly and efficiently using AWS CLI and AWS Management Console. Delegates will become familiarised with managed blockchain networks, members and peer nodes. They will gain an understanding of how to create an interface VPC endpoints. They also learn how to automatically managed Blockchain proposal notifications with cloudWsatch events. This course explains how to work with hyperledger fabric and how to protect the data and configure security groups.

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What’s included in this Amazon Managed Blockchain Training Course?

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

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

AWS Lightsail Training Course Outline

This course is completely based on essential concepts of Amazon Lightsail service. The following modules are arranged to provide the complete knowledge of every area and concepts in Amazon Lightsail. Delegates will acquire the skills to develop and manage any websites and web applications with Amazon Lightsail.

Module 1: Introduction

  • What is AWS Lightsail VPN?
  • AWS Lightsail Features
  • Benefits of AWS Lightsail
  • AWS Lightsail Applications

Module 2: Databases in Amazon Lightsail

  • Overview
  • Creating a Database in Amazon Lightsail
  • Updating Database Parameters

Module 3: Lightsail Block Storage

  • Introduction
  • Benefits of Lightsail Block Storage

Module 4: Snapshots in Amazon Lightsails

  • Manual Snapshot
  • Automatic Snapshot
  • System Disk Snapshot
  • Creating New Resources from Snapshots
  • Exporting and Deleting Snapshots

Module 5: Best Practices for WordPress on AWS

  • Introduction
  • Simple Deployment
  • Improving Performance and Cost Efficiency

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Who should attend this AWS Lightsail Training Course?

The AWS Lightsail Training Course is suitable for those who want to leverage cloud infrastructure management and streamline deployment. The AWS Lightsail Training Course can benefit individuals such as:

  • DevOps Engineers
  • System Administrators
  • Technical Writers
  • Application Developers
  • Web Developers
  • Website Designers
  • Small Business Owners

Prerequisites of the AWS Lightsail Training Course

There are no formal prerequisites for this AWS Lightsail Course. However, a basic understanding of cloud-based services can be beneficial for the delegates.

AWS Lightsail Training Course Overview

Amazon Lightsail is a managed service that works on a cloud-based platform. It offers the required terms to build an application or website. Amazon Lightsail provides the Virtual Private Server (VPS) and can store and compute data as well as networking infrastructure. Along with this, it has the capability to deploy and manage websites within web applications in the cloud. Light Scale provides a bundle of resources such as a virtual machine, storage, data transfer, DNS management.

Professionals in Cloud Computing, DevOps, and IT Management will find this course highly valuable in mastering AWS Lightsnail's capabilities. Entrepreneurs and small business owners will benefit from learning how to set up cost effective cloud infrastructure using these powerful yet simple tools.

The Knowledge Academy's 1-day AWS Lightsail Training equips delegates with the skills and knowledge necessary to implement and manage cloud solutions effectively. the core understanding of the Aws Lightsail, and how to use it to deploy applications, manage security scale infrastructure.

Course Objectives

  • To learn best application deployment practices using Lightsail's preconfigured blueprint
  • To learn about how to do website hosting on the Amazon Lightsail Cloud Platform provided by Amazon web services
  • To gain insight into migration strategies and understanding when and how to transition from the Light to other AWS services
  • To familiarise yourself with the VPS instances, database, networking, storage, snapshots, and working with the WordPress in Amazon Lightsail
  • To promote best practice for cost-effective cloud hosting

Upon completion, delegates will be able to host websites on the Amazon Lightsail as well as get a complete understanding of how to manage resources. They will be able to set up and manage virtual servers, optimise networks performance, and implement secure cloud solutions.

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What’s included in this AWS Lightsail Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Lightsail 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)

AWS EC2 with Linux Training Course Outline

Module 1: Get Started with Amazon EC2

  • What is Amazon EC2?
  • Features of Amazon EC2
  • Instances and AMIs
  • Regions and Availability Zones
  • Root Device Volume
  • Setting Up with Amazon EC2

Module 2: Amazon Machine Images (AMI) 

  • What is Amazon Machine Images (AMI)?
  • Types of AMI and Virtualisation
  • Finding a Linux AMI
  • Shared and Paid AMIs
  • Creating an Amazon EBS-Backed Linux AMI
  • Using Encryption with EBS-Backed AMIs
  • Copy an AMI
  • Deregistering Linux AMI
  • Amazon Linux
  • Running Amazon Linux 2 as a Virtual Machine On-Premises
  • User Provides Kernels

Module 3: Learn Instances 

  • Instance Types
  • Instance Purchasing Options
  • Instance Lifecycle
  • Configure Instances
  • Identify Instances

Module 4: Amazon Elastic Inference

  • What is Amazon Elastic Inference?

Module 5: Monitoring 

  • Monitoring in Amazon EC2
  • Automated Monitoring Tools
  • Manual Monitoring Tools
  • Monitoring the Status of Your Instances
  • Monitoring Your Instances Using CloudWatch
  • Automating Amazon EC2 with ClouldWatch Events
  • Monitoring Memory and Disk Metrics
  • Logging API Calls with AWS CloudTrails

Module 6: Network and Security

  • Key Pairs
  • Security Groups
  • Controlling Access
  • Instance IP Addressing
  • Elastic IP Address
  • Network Interfaces
  • Learn Enhanced Networking on Linux
  • Elastic Fabric Adapter
  • Placement Groups
  • Network MTU
  • Virtual Private Clouds
  • Introduction to EC2 Classic

Module 7: Storage

  • Amazon EBS
  • Instance Store
  • File Storage
  • Amazon S3
  • Instance Volume Limits
  • Device Naming
  • Block Device Naming

Module 8: EC2 Rescue for Linux

  • Introduction
  • Installing EC2 Rescue for Linux
  • Verify the Signature of EC2 Rescue for Linux
  • Working with EC2 Rescue for Linux
  • Developing EC2 Rescue Modules

Module 9: Troubleshooting

  • Troubleshoot Launch Instance
  • Troubleshooting Connecting to Your Instance
  • Troubleshooting Stopping Your Instance
  • Troubleshooting Terminating Your Instance
  • Failed Status Check
  • Troubleshoot an Unreachable Instance

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Who should attend this AWS EC2 with Linux Training?

The AWS EC2 with Linux Training Course is designed for professionals aiming to gain expertise in deploying and managing Linux instances on Amazon Web Services. This AWS Certification Course can be beneficial to various professionals, including:

  • System Administrators
  • DevOps Engineers
  • Solutions Architects
  • Cloud Engineers
  • Technical Leads
  • Operations Managers
  • IT Managers
  • Cloud Specialists

Prerequisites of the AWS EC2 with Linux Training Course

There are no formal prerequisites to attend the AWS EC2 with Linux Training Course. However, a basic understanding of Linux commands and operating system concepts can be beneficial to delegates.

AWS EC2 with Linux Training Course Overview

This training course provided by The Knowledge Academy delves into the world of Amazon Web Services (AWS), Elastic Compute Cloud (EC2) and Linux, providing essential knowledge and skills for cloud computing enthusiasts. With the growing reliance on cloud infrastructure, understanding AWS EC2 and Linux is crucial for modern IT professionals.

Proficiency in AWS EC2 and Linux is vital for IT professionals leveraging cloud computing for scalable and cost-effective solutions. System Administrators, DevOps Engineers, and Cloud Architects should aim to master this subject as it forms the backbone of cloud-based infrastructure and application deployment.

This 1-day training session provides delegates with the essential skills to effectively launch, manage, and secure virtual machines on AWS EC2 using Linux as their operating system. Delegates will gain hands-on experience in creating EC2 instances, configuring security, and optimising performance. The course empowers them to deploy applications in a cloud-native environment efficiently.

Course Objectives

  • To understand the fundamentals of AWS EC2 and Linux integration
  • To create and manage EC2 instances for various use cases
  • To implement security measures to safeguard EC2 instances and data
  • To optimise EC2 performance for cost-effectiveness
  • To explore automation techniques using Linux
  • To troubleshoot common EC2 and Linux issues
  • To ensure high availability and scalability in EC2 deployments
  • To foster best practices for cloud-native application deployment

After completing this course, you will have the skills and knowledge to use AWS EC2 with Linux effectively. This course will make you a valuable asset in cloud computing and IT infrastructure management, equipping you to confidently address real-world challenges and contribute to innovative cloud-based solutions.

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What’s included in this AWS EC2 with Linux Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS EC2 with Linux Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

Video Streaming Essentials for AWS Media Services Training Course Outline

Module 1: Important Video Concepts

  • Resolution, Bitrate, Frame Rate, Latency, and Compression
  • Codecs and Containers
  • Group of Pictures (GOP) Encoding
  • ABR, Packaging and Distribution
  • Internet Protocols used in Video Streaming

Module 2: Anatomy of Streaming Workflows

  • Four Stages of Video Streaming
  • Variables that Affect Design Decisions

Module 3: Using AWS Services in Video-on-Demand (VOD) Workflows

  • Converting a Film or Tape Library for Internet Streaming
  • Increasing Reach and Accessibility Using Multiple Languages and Captions
  • Streaming Edited Highlights from a Live Event
  • Analysing and Tagging VOD Files for Media Content Analysis Using Machine Learning and Data Analytics

Module 4: Optimising Workflows

  • Security
  • Migrating to the Cloud
  • Cloud Financial Management

Module 5: Using AWS Services in Live Workflows

  • Challenges of Live Streaming
  • Live Streaming a Simple Interview Show
  • Live Streaming a Major Sporting Event to a Global Audience
  • Live Switching Between Multiple Inputs
  • Saving Segments from a Live Show to Create VOD Segments

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Who should attend this Video Streaming Essentials for AWS Media Services Training Course?

The Video Streaming Essentials for AWS Media Services Course is ideal for professionals seeking to harness the power of AWS Media Services for seamless and high-quality video streaming. The following professionals and individuals can greatly benefit from attending this course:

  • Video Engineers
  • Media Professionals
  • Content Developers
  • Broadcasters and Streaming Managers
  • DevOps Engineers
  • System Designers
  • Streaming Media Analysts

Prerequisites of the Video Streaming Essentials for AWS Media Services Training Course

There are no formal prerequisites for this Video Streaming Essentials for AWS Media Services Course. However, familiarity with Video Streaming Concepts and AWS Media Services can be beneficial for the delegates.

Video Streaming Essentials for AWS Media Services Training​ Course Overview

Video streaming is a continuous transmission of video files from a server to a client. It enables individuals to view videos online without having to download them. AWS offers the most purpose-built media services, software, and appliances of any cloud to create, transform, and deliver digital content fast and easy to their clients. Today’s users mostly choose AWS Media Services to transport, prepare, process and deliver live and on-demand content in the cloud. Studying this training will enable individuals to identify AWS services for compliance, storage, and computing in video streaming workflows with AWS Media Services. This training will help individuals excel in highly reputed jobs and upgraded salaries.

In this 2-day Video Streaming Essentials for AWS Media Services training course, delegates will learn how to analyse video streaming workflow diagrams using AWS services based on simple to complex use cases. During this training, delegates will learn various concepts such as the anatomy of streaming workflows, challenges of live streaming, optimising workflows, resolution, bitrate, frame rate, latency, compression, migrating to the cloud, etc. Our highly skilled and professional trainer, who has years of experience teaching AWS training courses, will conduct this training.

They will also cover essential topics such as:

  • Optimising workflows
  • Cloud financial management
  • Codes and containers
  • Live to switch between multiple inputs
  • Four stages of video streaming

At the end of this training, delegates will be able to make video streaming workflow decisions, including video metrics, compression, distribution, and protocols. They will also be able to convert a film or tape library for internet streaming.

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What’s included in this Video Streaming Essentials for AWS Media Services Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Video Streaming Essentials for AWS Media Services Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Amazon S3 Glacier Training ​Course Outline

The following modules comprise topics that will help you to get a complete understanding of Amazon S3 Glacier.

Module 1: Introduction to Amazon S3 Glacier

  • What is Amazon S3 Glacier?
  • Using S3 Glacier
  • Data Model
  • Supported Operations
  • Accessing Amazon S3 Glacier

Module 2: Getting Started with Amazon S3 Glacier

  • Before You Begin
  • Create a Vault
  • Upload an Archive to a Vault
  • Download an Archive from a Vault
  • Delete an Archive from a Vault
  • Delete a Vault

Module 3: Vaults and Archives

  • Working with Vaults
  • Working with Archives

Module 4: Using the Amazon SDKs

  • Using S3 Glacier with an AWS SDK
  • Using the AWS SDK for
    • Java
    • .NET

Module 5: Security

  • Data Protection
  • Identity and Access Management
  • Logging and Monitoring
  • Compliance Validation
  • Resilience
  • Infrastructure Security

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Who Should Attend the Amazon S3 Glacier Training Course?

The Amazon S3 Glacier Training Course is designed for individuals who want to understand and utilise Amazon's archival storage solution for data archiving and long-term backup. This course will help the following professionals:

  • Data Architects
  • Storage Administrators
  • IT Managers
  • Cloud Engineers
  • Backup and Recovery Specialists
  • Compliance Officers
  • Data Managers

Prerequisites of the Amazon S3 Glacier Training Course

There are no formal prerequisites to attend the Amazon S3 Glacier Training Course. However, a basic understanding of cloud computing and object storage can be beneficial.

Amazon S3 Glacier Training ​Course Overview

Amazon S3 Glacier is a vault as a container that stores archives and a compartment to manage records and document which can be an object such as photo, video, or records that store in a vault. An archive is the base unit of storage in the glacier. AWS Glacier is a storage service providing durable storage with security features for data archiving and backup. In this Amazon Storage service, delegates will create a vault to store the documents. For archive management, Amazon S3 Glacier uses the section of AWS Software Development Kits (SDKs) for Java and .NET high-level API. Whilst working with Glacier, the high-level API provides a simplified programming experience.

This 1-day course will start teaching from Amazon S3 Glacier like storage overview and its working. Delegates will learn about data models supported operations in a glacier, working with vaults and archives as well as how to upload and download records. The AWS SDKs is also included in this course to get a complete understanding of the low level and high-level APIs.

During this course, delegates will also learn about security in Amazon S3 Glacier how it works and strategies, tagging resources, security policies. Delegates will gather knowledge of audit logging with AWS CloudTrail and will get a complete understanding of AWS storage service. Post completion of this training, delegates will be able to manage the archives in the container of AWS S3 Glacier and do all operations of this AWS services programmatically.

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What’s included in this Amazon S3 Glacier Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon S3 Glacier Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

Running Containers on Amazon Elastic Kubernetes Service EKS Training​ Course Outline

Module 1: Kubernetes Fundamentals

  • Introduction to Kubernetes
  • Kubernetes Core Concepts
  • Kubernetes Networking
  • Kubernetes Storage

Module 2: Amazon Elastic Kubernetes Service (EKS)

  • Introduction to Amazon EKS
  • Getting Started with Amazon EKS
  • EKS Cluster Configuration

Module 3: Auditing on EKS

  • EKS Cluster Monitoring
  • Auditing EKS Cluster Activities

Module 4: Reading and Investigating EKS Logs

  • Understanding EKS Logs
  • Log Collection and Analysis

Module 5: EKS Configurations and Security

  • Securing EKS Clusters
  • EKS Cluster Upgrades and Backup
  • Autoscaling and Resource Management

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Who should attend this Running Containers on Amazon Elastic Kubernetes Service EKS Training Course?

The Running Containers on Amazon Elastic Kubernetes Service EKS Course is designed for professionals who want to learn how to effectively deploy, manage, and scale containerised applications using Amazon EKS. The following professionals can greatly benefit from attending this course:

  • Software Developers
  • Application Architects
  • Solution Architects
  • Technical Leads
  • DevOps Engineers
  • System Administrators
  • IT Professionals

Prerequisites of the Running Containers on Amazon Elastic Kubernetes Service EKS Training Course

Before attending this Running Containers on Amazon Elastic Kubernetes Service EKS Course, delegates should be familiar with Amazon Elastic Kubernetes Service Primer and should have completed the AWS Cloud Practitioner Training.

Running Containers on Amazon Elastic Kubernetes Service EKS Training​ Course Overview

Running containers on Amazon Elastic Kubernetes Service (EKS) offers a powerful and flexible solution for managing containerised applications in the cloud. EKS, a managed Kubernetes service, simplifies the deployment, scaling, and orchestration of containers, allowing developers to focus on building and optimising their applications. It aims to facilitate faster deployment and orchestration by effectively managing and scaling containerised applications in a highly available, secure, and automated environment. This training equips learners with a robust platform for seeking to leverage the benefits of containerisation in a cloud-native environment. Individuals with excellent knowledge of EKS will get higher salary packages and numerous job opportunities for career enhancement.

In this 2-day Running Containers on Amazon Elastic Kubernetes Service EKS Training Course, delegates will gain in-depth knowledge of managing containerised applications. During this training, delegates will learn about managing and maintaining Kubernetes environments effectively through scaling ELS clusters. Our highly skilled and experienced trainer, who has years of experience in teaching these AWS training courses, will conduct this training as well.

Course Objectives

  • To provide built-in monitoring and logging capabilities
  • To gain insights into the troubleshooting issues effectively
  • To integrate Kubernetes services with other cloud services
  • To distribute Kubernetes control planes across multiple zones
  • To ensure the cluster can handle varying workloads efficiently
  • To control access to AWS resources and maintain a secure environment

After attending this training course, delegates will be able to manage and analyse the logs generated by your Kubernetes clusters. They will also be able to manage permissions for different users and resources based on their roles within your organisation.

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What’s included in this Running Containers on Amazon Elastic Kubernetes Service EKS Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Running Containers on Amazon Elastic Kubernetes Service EKS Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Amazon Lumberyard Training Course Outline

This AWS Lumberyard Training course will cover the following areas:

Introduction to Lumberyard Editor

Understand the Lumberyard Interface

  • Basic Tools of Lumberyard
  • Navigate in the Viewport
  • Manipulating Objects
  • Moving an Object
  • Rotating an Object
  • Configure Auto Backup

Building the Environment

  • Learn how to Create a Level
  • Importing a Heightmap
  • Importing a Megaterrrain Texture
  • Placing the Player Character

Gathering Building Blocks

  • Learn how to create an Entity
  • Adding a Mesh Component
  • Adding Collider and Physics Component
  • Using Slice Asset Browser to Create Entity
  • Duplicate an Entity
  • Parenting Entities

Using Slices to Build the Maze

  • Learn how to create a Doorway Slice
  • Instantiating Prebuilt Slice
  • Aligning the Slice
  • Locking Wall and Doorway Slices
  • Placing Lamp Post Slice
  • Saving Slice Change

Adding Enemy AI Characters

  • Setting up the AI Trigger Area
  • Defining the AI Navigation Area
  • Creating AI Spawn Points
  • Adding Patrol Waypoints
  • Adding a Second AI Character
  • Organising AI Character
  • Adding the Particle Manager

Scripting Gameplay

  • Adding Entry Door
  • Adding Exit Door
  • Adding a Pickup Item
  • Adding a Timer

Applying Physics to Stacked Crates

  • Placing, Crates and Configuring Physics
  • Stacking the Crates and Barrels to Make a Wall

Sculpting the Terrian

  • Creating Texture Layers
  • Painting Pavement, Grass, Dirt, and Rocks
  • Drawing a Road
  • Placing Trees
  • Adding Shrubs and Grass
  • Inserting Rocks and Undergrowth
  • Customising Landscape

Enhancing Levels

  • Adding Decals to the Maze
  • Particle Systems to Add Stream
  • Adding Ambient Particle
  • Adding a Distance Mesh

Lighting the Environment

  • Placing a Global Environment Probe
  • Changing the Time of Day
  • Creating a Light Source

Setting Up the User Interface (UI)

  • Exporting Game

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Who Should Attend the Amazon Lumberyard Training Course?

The Amazon Lumberyard Training Course is designed for professionals in the game development and interactive entertainment industry who want to master the use of Amazon Lumberyard to create captivating and immersive experiences. This course will benefit the following professionals:

  • Game Developers
  • Game Designers
  • Game Artists
  • 3D Modelers
  • Gameplay Programmers
  • Game Engineers
  • Level Designers

Prerequisites of the Amazon Lumberyard Training Course

There are no formal prerequisites to attend the Amazon Lumberyard Training Course. However, a basic understanding of game development would be beneficial.

Amazon Lumberyard Training ​Course Overview

In this course, delegates will learn about the Amazon Lumberyard Editor. Delegates will learn how to create a lush mountainous landscape, build a maze within it, place a player character, and install a simple UI. Delegates will acquire knowledge of how to export and play the game. In this course, delegates will gain an understanding of the fundamental workflow and tools within Lumberyard.

In this 1-day course, delegates will get an understanding of the Lumberyard Interface. They will learn about the basic tools and how to manipulate objects, move an object, as well as rotate objects. Amazon Lumberyard Training course explains how to configure auto backup and build the environment for Lumberyard. In a building environment, delegates will learn how to create a level, import heightmap, import a megaterrian texture, and how to place player character. In addition, delegates will learn how to create an entity, add mesh component, collider and physics component. They will also learn how to duplicate entities and parenting entities.

During this course, delegates will learn how to create a doorway slice and align the slices. They will also learn how to add enemy AI characters. Delegates will gain an understanding of how to apply physics to stacked crates as well as create a texture layer, painting pavement, Grass, Dirt, and Rocks. Post completion of this training, delegates will be able to change the time of day and create a light source.

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What’s included in this Amazon Lumberyard Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon Lumberyard 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 (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Amazon Textract Training​ Course Outline

This course will provide complete knowledge of Amazon Textract. The following modules are arranged to provide a comprehensive knowledge of detecting and analysing the text documents.

Module 1: Introduction to Amazon Textract

  • What is Amazon Textract?
  • How It Works?

Module 2: Getting Started with Amazon Textract

  • Set Up an Account
  • Set Up the AWS CLI and AWS SDKs
  • Get Started Using the AWS CLI and AWS SDK API

Module 3: Processing Documents

  • Processing Documents with Synchronous Operations
  • Processing Documents with Asynchronous Operations

Module 4: Amazon A2I and Amazon Textract

  • Core Concepts of Amazon A2I
  • Get Started Using Amazon A2I

Module 5: Security

  • Data Protection
  • Identity and Access Management
  • Logging and Monitoring
  • Logging Amazon Textract API Calls with AWS CloudTrail
  • Compliance Validation
  • Resilience
  • Infrastructure Security
  • Configuration and Vulnerability Analysis
  • VPC Endpoints

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Who Should Attend the Amazon Textract Training Course?

The Amazon Textract Training Course is designed for professionals who want to harness the power of Amazon Textract, a machine learning service that automatically extracts text and structured data from scanned documents. This course will benefit the following professionals:

  • Data Analysts
  • Document Processors
  • Business Analysts
  • Data Scientists
  • Automation Specialists
  • Data Engineers
  • Application Developers

Prerequisites of the Amazon Textract Training Course

There are no formal prerequisites to attend the Amazon Textract Training Course. However, a basic understanding of cloud computing and GraphQL would be beneficial.

AmazonTextract Training​ Course Overview

The Amazon Textract is the service to extract text and data automatically from documents. Amazon Textract goes beyond simple Optical Character recognition to identify the contents of fields in forms and information stored in tables. Technically Amazon Textract is based on the same established, highly scalable, deep learning technology developed by Amazon’s computer vision scientists to analyse billions of images and videos daily. Delegates do not need any machine learning expertise to use it. Amazon Textract includes easy to use APIs that can analyse image files and PDF files, and it is adding new features by learning from the latest data.

This 1-day course teaches delegates about Amazon Textract and text operations like detecting, analysing, and input. Delegates will get use cases knowledge of Amazon Textract. The detecting and analysing the text in a single page document text and multipage documents are also included in this course. Delegates will learn about security components such as authentication, access control, logging and monitoring. Post course completion, delegates will be able to understand the working of Amazon Textract and how Amazon fetch the data.

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What’s included in this Amazon Textract Training Course?

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

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Online Instructor-led (1 days)

Classroom (1 days)

Online Self-paced (8 hours)

Developing .NET Application on AWS Training Course Outline

Module 1: Introduction

  • Working with .NET

Module 2: Running .NET Applications in the AWS Cloud

  • Choosing a Host Operating System
  • Building Monoliths or Microservices
  • Migrating and Rehosting .NET Applications
    • AWS Elastic Beanstalk
    • Amazon Elastic Compute Cloud (EC2) Instances
    • AWS Systems Manager
  •  Modernising and Re-platforming .NET Applications
    • Running Applications in Containers
    • Creating Serverless Applications with AWS Lambda
  • Storage Solutions for .NET Applications on AWS
  • Artificial Intelligence and Machine Learning with .NET

Module 3: Developing .NET Applications

  • AWS .NET SDKs
  • AWS Toolkit for Visual Studio
  • AWS Toolkit for Visual Studio Code
  • AWS Toolkit for Rider
  • AWS Tools for PowerShell

Module 4: Continuous Integration and Continuous Delivery

  • Infrastructure as Code
  • Using AWS Developer Tools
  • Seamless Integration with Azure DevOps

Module 5: Security and Operations

  • Monitoring
    • Amazon CloudWatch
    • Amazon CloudWatch Application Insights for .NET and SQL Server
    • Auditability and Change Tracking
    • AWS X-Ray
    • Additional AWS Service Logs

 

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Who should attend this Developing .NET Application on AWS Training Course?

The Developing .NET Applications on AWS Training Course is designed for individuals who want to learn how to develop .NET applications and deploy them on the AWS cloud platform. This course is beneficial for various professionals including:

  • .NET Developers
  • Cloud Application Developers
  • Solution Architects
  • DevOps Engineers
  • Full-Stack Developers
  • Software Engineers
  • Application Managers
  • Microservices Developers

Prerequisites for the Developing .NET Application on AWS Training Course

There are no formal prerequisites for attending this Developing .NET Application on AWS Training Course. However, a basic understanding of the .NET framework, familiarity with cloud computing concepts, and general knowledge of AWS services will be beneficial for delegates.

Developing .NET Application on AWS Training Course Overview

Developing .NET Applications on AWS involves creating and building software solutions using the .NET framework and deploying them on the Amazon Web Services (AWS) cloud platform. AWS, being a leading cloud service provider, offers a robust and scalable environment for developing .NET applications. This training enhances individuals’ skillset, making them adaptable to the evolving cloud landscape and boosting their employability. This training enables organisations to efficiently build and deploy .NET applications on AWS, reducing time-to-market for products and services. Moreover, mastering the art of Developing .NET Applications on AWS opens up numerous opportunities for career growth.  

The Knowledge Academy’s 1-day Developing .NET Application on AWS Training Course provides delegates with comprehensive skills and knowledge to master the art of Developing .NET Applications on AWS. During this training, they will learn about AWS services and how to leverage them effectively to build, deploy, and manage .NET applications in the cloud and many more. This course will be led by our highly skilled and knowledgeable trainer, who has years of experience in teaching and will help delegates get a complete understanding of this course.  

Course Objectives  

  • To develop serverless applications using AWS Lambda
  • To explore re-platforming strategies for existing .NET applications
  • To effectively build, deploy, and manage .NET applications on AWS
  • To learn how to optimise storage solutions for .NET applications on AWS
  • To understand AI and machine learning integration with .NET applications
  • To familiarise with AWS SDKs and toolkits for seamless development

After attending this training, delegates will be able to confidently develop, deploy, and manage .NET applications on the Amazon Web Services (AWS) cloud platform. They will also be able to leverage AWS SDKs, toolkits for Visual Studio and Visual Studio Code, Rider, and PowerShell to streamline development processes.

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What’s included in this Developing .NET Application on AWS Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Developing .NET Application on AWS Training 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 Visualize

  • Workload Management
  • WLMQ Behavior
  • Run the Query
  • Visualize

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Who should attend this Data Warehousing Training on AWS Course?

The Data Warehousing Training on AWS in India 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, which include:

  • 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 Course

There are no formal prerequisites to attend the Data Warehousing Training on AWS Course in India. 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 a comprehensive 1-day course in India designed to introduce delegates to the fundamental concepts of Data Warehousing and its practical implementation on Amazon Web Services (AWS). In the context of modern business operations, this course sheds light on the significance of Data Warehousing, emphasizing its role in domains such as Data Analytics, Business Intelligence, and Data Engineering.

Professionals aspiring to excel in Data Analytics, Business Intelligence, and Data Engineering must acquire proficiency in Data Warehousing. This training in India provides delegates with the essential knowledge and practical skills necessary to design, implement, and manage Data Warehousing solutions on AWS.

Upon Completing this 1-day training in India, delegates will gain hands-on experience through real-world scenarios and practical labs, ensuring that they are well-prepared to apply their knowledge in professional settings. This course equips participants with the expertise needed to navigate and leverage AWS services for building efficient and scalable Data Warehousing solutions, making them valuable assets in the evolving landscape of data-driven decision-making.

Course Objectives

  • To introduce fundamental concepts of Data Warehousing on AWS
  • To provide practical knowledge for designing and implementing Data Warehousing solutions
  • To cover working with Clusters, Amazon Redshift, AWS Glue, and other AWS services
  • To equip delegates with hands-on experience through real-world scenarios and labs
  • To prepare professionals for the AWS Advanced Architecture Certification exam
  • To enable participants to create scalable and cost-effective data warehousing solutions on AWS

Upon completion of this course in India, delegates will benefit by acquiring a deep understanding of Data Warehousing concepts and gaining practical skills for implementing solutions on AWS. The hands-on experience and exposure to key AWS services ensure that participants are well-prepared to excel in building efficient and scalable Data Warehousing solutions, enhancing their proficiency in data-centric roles.

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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)

Amazon FBA Course for Entrepreneurs Course Outline

Module 1: Introduction to Amazon FBA

  • Understanding the Basics of Amazon FBA
  • Benefits of Selling through Amazon FBA
  • Setting up Amazon Seller Account
  • Navigating the Amazon Seller Central Dashboard

Module 2: Market Research and Product Selection

  • Identifying Profitable Niches and Markets
  • Conducting Product Research using Amazon Tools
  • Analysing Competition and Assessing Demand
  • Selecting the Right Products for your Business

Module 3: Sourcing and Inventory Management

  • Finding Reliable Suppliers and Manufacturers
  • Negotiating with Suppliers for Competitive Pricing
  • Managing Inventory and Avoiding Stockouts
  • Quality Control and Product Inspections

Module 4: Creating an Effective Amazon Listing

  • Writing Compelling Product Titles and Descriptions
  • Optimising Product Images for Conversions
  • Keyword Research and Incorporating Keywords
  • Pricing Strategies for Competitive Advantage

Module 5: Fulfillment and Shipping

  • Understanding the FBA Shipment Process
  • Preparing and Labeling Products for FBA
  • Creating Shipping Plans and Managing Shipments
  • Tracking and Monitoring Inventory in Amazon's Warehouses

Module 6: Amazon PPC Advertising

  • Introduction to Amazon Pay-Per-Click (PPC)
  • Setting up Effective PPC Campaigns
  • Keyword Targeting and Bidding Strategies
  • Analysing and Optimising PPC Performance

Module 7: Customer Service and Feedback Management

  • Providing Exceptional Customer Service on Amazon
  • Managing Product Reviews and Feedback
  • Handling Returns and Resolving Customer Issues
  • Building a Brand Reputation through Customer Satisfaction

Module 8: Scaling Your Amazon FBA Business

  • Scaling Strategies for Increased Sales
  • Expanding Product Lines and Diversifying
  • Outsourcing Tasks and Automating Processes
  • Long-Term Growth and Exit Strategies

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Who should attend this Amazon FBA Course for Entrepreneurs Training Course?

This Training Course is designed for anyone who wants to enhance their Amazon FBA Businesses. However, this training will be beneficial for:

  • Entrepreneurs
  • Business Owners
  • Existing Amazon Sellers
  • E-commerce Managers
  • Marketing and Sales Professionals
  • Supply Chain and Logistics Managers
  • Product Managers

Prerequisites for Amazon FBA Course for Entrepreneurs Training Course

There are no formal prerequisites for attending this Amazon FBA training course.

Amazon FBA Course for Entrepreneurs Course Overview

Amazon FBA (Fulfillment by Amazon) is a service where Amazon stores and ships products for third-party sellers. It is useful for individuals and businesses in e-commerce, as it handles the heavy lifting of orders, storage, and shipping. Using Amazon FBA also allows for easier scaling of your business, enabling you to grow without worrying about logistics. It is an excellent opportunity for those looking to establish a successful online business and gain valuable experience in the rapidly growing field of e-commerce. Managing an Amazon FBA business is a great way to build skills like product sourcing, marketing, and customer service, useful for a career in e-commerce.

The Knowledge Academy’s 1-day Amazon FBA Course for Entrepreneurs Training provides delegates with an opportunity to develop a strong foundation in Amazon FBA. Delegates will engage in writing compelling product titles and descriptions. This training will be conducted by our highly professional and skilled trainer, who has experience in delivering training courses.

Course Objectives

  • To equip participants with the knowledge to launch successful Amazon FBA businesses
  • To provide insights into effective product research and selection strategies
  • To understand how to optimise Amazon listings for higher conversions.
  • To guide learners in mastering Amazon PPC advertising techniques
  • To familiarise participants with international expansion opportunities through FBA
  • To empower entrepreneurs to efficiently manage inventory and logistics

After attending this Amazon FBA Course for Entrepreneurs course, delegates will be able to launch and manage successful Amazon FBA businesses, leveraging the platform's advantages.

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What’s included in this Amazon FBA Course for Entrepreneurs Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon FBA Course for Entrepreneurs 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 Training Course in India is designed for professionals seeking to learn how to provision and manage infrastructure as code using Amazon Web Services (AWS) CloudFormation. This AWS Certification 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 Course

There are no formal prerequisites to attend the AWS CloudFormation Training Course in India. 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 Training Course in India delves into the intricacies of AWS CloudFormation, a pivotal service in the realm of Infrastructure as Code (IaC). The management of infrastructure has become a critical aspect of modern IT operations, underscoring the relevance and importance of this course.

Professionals such as Cloud Architects, System Administrators, and DevOps experts play a key role in shaping and maintaining cloud infrastructure. Proficiency in AWS CloudFormation is indispensable for these roles as it enables them to automate and streamline the process of infrastructure provisioning, leading to increased operational efficiency and cost-effectiveness.

In this 1-day training in India, delegates will gain practical skills in creating and managing AWS CloudFormation templates. The course focuses on imparting the knowledge required to use AWS resources consistently and securely, enhancing the professionals' adaptability in dynamic cloud environments. This hands-on training empowers delegates to confidently create and deploy cloud resources using AWS CloudFormation.

Course Objectives

  • To provide a comprehensive understanding of AWS CloudFormation
  • To impart proficiency in creating and managing AWS CloudFormation templates
  • To enable professionals to automate infrastructure provisioning effectively
  • To enhance skills in using AWS resources consistently and securely
  • To prepare delegates for real-world scenarios in dynamic cloud environments
  • To empower professionals with hands-on experience in AWS CloudFormation

Upon completing this course in India, delegates will benefit by acquiring a thorough understanding of AWS CloudFormation and gaining practical skills to effectively manage infrastructure through templates. The hands-on experience and focus on real-world applications ensure that participants are well-equipped to leverage AWS CloudFormation for enhanced automation and efficiency in their respective roles.

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What’s included in this AWS CloudFormation Training Course?

  • 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)

Amazon Relational Database Service (RDS) Training Course Outline

Module 1: What is Amazon Relational Database Service?

  • Overview of Amazon RDS
  • How to Work with Amazon RDS?
  • Amazon RDS DB Instances
  • DB Instance Classes
  • Amazon RDS DB Instance Storage
  • Security and Monitoring an Amazon RDS DB Instance
  • Regions, Availability Zones, and Local Zones
  • Multi-AZ Deployments for High Availability
  • DB Instance Billing for Amazon RDS

Module 2: Setting Up for Amazon RDS

  • Sign Up for AWS
  • Create an IAM User
  • Determine Requirements
  • Provide Access to DB Instance in VPC

Module 3: Configuring an Amazon RDS DB Instance

  • Creating an
    • Amazon RDS DB Instance
    • Multi-AZ DB Cluster
    • Amazon RDS Resources with AWS CloudFormation
  • Connecting to an Amazon RDS DB Instance
  • Using Amazon RDS Proxy
  • Working with Option Groups and Parameter Groups

Module 4: Managing an Amazon RDS DB Instance

  • Stopping an Amazon RDS DB Instance Temporarily
  • Starting an Amazon RDS DB Instance that was Previously Stopped
  • Modifying an Amazon RDS DB Instance and Multi-AZ DB Cluster
  • Upgrading and Maintaining DB Instance Engine Version
  • Renaming and Rebooting DB Instance
  • Rebooting Multi-AZ DB Clusters and Reader DB Instances
  • Working with Read Replicas
  • Tagging Amazon RDS Resources
  • Working with Amazon Resource Names in Amazon RDS
  • Working with Storage for Amazon RDS DB Instances
  • Deleting a DB Instance and Multi-AZ DB Cluster

Module 5: Backing Up and Restoring an Amazon RDS DB Instance

  • Working with Backups
  • Replicating Automated Backups to Another AWS Region
  • Creating DB Snapshot and Multi-AZ DB Cluster Snapshot
  • Restoring from a DB Snapshot
  • Restoring from a Snapshot to a Multi-AZ DB Cluster
  • Copying a Snapshot and Sharing a DB Snapshot
  • Exporting DB Snapshot Data to Amazon S3
  • Restoring a DB Instance to a Specified Time
  • Restoring a Multi-AZ DB Cluster to a Specified Time
  • Deleting a Snapshot

Module 6: Monitoring Metrics in an Amazon RDS Instance

  • Overview of Monitoring Metrics in Amazon RDS
  • Viewing Instance Status and Recommendations
  • Viewing Metrics in the Amazon RDS Console
  • Monitoring Amazon RDS Metrics with Amazon CloudWatch
  • Monitoring DB Load with Performance Insights on Amazon RDS
  • Monitoring OS Metrics with Enhanced Monitoring
  • Metrics Reference for Amazon RDS

Module 7: Security in Amazon RDS

  • Database Authentication with Amazon RDS
  • Data Protection in Amazon RDS
  • Identity and Access Management in Amazon RDS
  • Logging and Monitoring in Amazon RDS
  • Compliance Validation for Amazon RDS
  • Resilience in Amazon RDS
  • Infrastructure Security in Amazon RDS
  • Amazon RDS API and Interface VPC Endpoints
  • Security for Amazon RDS
  • Controlling Access with Security Groups
  • Master User Account Privileges
  • Amazon Virtual Private Cloud VPCs and Amazon RDS

Module 8: Troubleshooting for Amazon RDS

  • Troubleshooting for Amazon RDS
  • Amazon RDS Security Issues
  • Resetting the DB Instance Owner Password
  • Amazon RDS DB Instance Outage or Reboot
  • Amazon RDS DB Parameter Changes
  • Amazon RDS DB Instance Running Out of Storage
  • Amazon RDS Insufficient DB Instance Capacity
  • MySQL and MariaDB Issues

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Who should attend this Amazon Relational Database Service (RDS) Training Course?

The Amazon Relational Database Service (RDS) Course in India is designed for those who want to get better at database management and deployment. The Amazon Relational Database Service (RDS) Training Course can benefit individuals such as:

  • Database Administrators
  • Solution Architects
  • DevOps Engineers
  • Business Analysts
  • Quality Assurance Engineers
  • Data Scientists
  • E-commerce Managers

Prerequisites of the Amazon Relational Database Service (RDS) Training Course

There are no formal prerequisites for this Amazon Relational Database Service (RDS) Course in India. However, a basic understanding of Databases can be beneficial for the delegates.

Amazon Relational Database Service (RDS) Training Course Overview

The Amazon Relational Database Service (RDS) Training provides a comprehensive exploration of Amazon's cloud-based database service, emphasizing its pivotal role in modern data management. As organizations increasingly transition to cloud-based solutions, understanding and mastering Amazon RDS is becoming essential for efficient and scalable database management in India.

Professionals in database administration, cloud architecture, and data engineering should prioritize acquiring expertise in Amazon RDS. This training is particularly crucial for Database Administrators, Cloud Architects, and IT professionals responsible for designing and managing scalable and secure database solutions. Mastery of Amazon RDS empowers these individuals to optimize database performance, enhance scalability, and ensure data security in a cloud environment.

In this 1-day training in India by The Knowledge Academy, delegates will benefit from a focused and practical learning experience. The course aims to equip participants with the knowledge and skills required to deploy, manage, and optimize Amazon RDS instances effectively. By the end of the training, delegates will be well-prepared to leverage Amazon RDS to its full potential, making them valuable assets in the rapidly evolving landscape of cloud-based data management.

Course Objectives

  • To provide an in-depth understanding of Amazon Relational Database Service (RDS)
  • To equip delegates with the skills to deploy and manage Amazon RDS instances
  • To optimize database performance using Amazon RDS
  • To enhance scalability and security of database solutions in a cloud environment
  • To prepare professionals for real-world challenges in cloud-based data management
  • To empower delegates with practical knowledge to leverage Amazon RDS effectively

Upon completing this course in India, delegates will benefit by gaining expertise in Amazon RDS, enabling them to design, deploy, and manage scalable and secure database solutions in the cloud. The practical focus of the training ensures that participants are well-prepared to apply their knowledge in real-world scenarios, making them valuable assets in the dynamic landscape of cloud-based data management.

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What’s included in this Amazon Relational Database Service (RDS) Training Course?

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

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Online Instructor-led (2 days)

Classroom (2 days)

Online Self-paced (16 hours)

AWS Associate Solutions Architect Training Course Outline

Module 1: Introduction to AWS and Cloud Computing

  • Cloud Computing
  • Virtualization
  • Characteristics of Virtualization
  • 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 Authorization

  • 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

  • Optimizing 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 Optimization Pillar

  • Cost-Optimizing 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 in India 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
  • Technical 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 in India. However, a basic understanding of Solution Architecture can be beneficial to the delegates.

AWS Associate Solutions Architect Training Course Overview

The AWS Solutions Architect Training in India is designed for professionals engaged in building, designing, and deploying AWS infrastructure and business applications. With the increasing reliance on cloud technologies, Solution Architects play a crucial role in ensuring the efficient and secure implementation of AWS services. This course provides a comprehensive introduction to AWS, covering the key networking concepts of the subject.

Understanding AWS is essential for beginners entering the IT domain, and this Associate Solutions Architect Training serves as a perfect starting point for their career journey. Delegates will acquire the knowledge and skills to deploy, manage, and operate workloads on AWS while implementing effective security controls. The course in India offers a foundational understanding of AWS cloud offerings, setting the stage for a deeper understanding.

In this intensive 2-day training by The Knowledge Academy in India, participants will receive in-depth instruction on critical AWS components, including Amazon S3, glacier storage, virtual private cloud (VPC), Amazon Redshift, and AWS Config. Led by experienced instructors well-versed in AWS concepts, the training ensures that attendees gain valuable insights into AWS best practices and real-world scenarios.

Course Objectives

  • To provide a comprehensive understanding of AWS cloud offerings and infrastructure components
  • To equip delegates with the skills to deploy, manage, and operate workloads on AWS
  • To introduce effective security controls for AWS implementations
  • To cover key networking concepts, including VPC, network address translation, and EC2
  • To deepen participants' knowledge of critical AWS services such as Amazon S3, Redshift, and AWS Config
  • To empower delegates with practical insights and real-world scenarios for applying AWS best practices

Upon completing this course in India, delegates will benefit by gaining foundational AWS knowledge and skills, enabling them to contribute effectively as Solution Architects in the dynamic landscape of cloud computing. The practical focus of the training ensures that participants are well-prepared to apply their AWS expertise in real-world scenarios, making them valuable assets to organizations leveraging AWS infrastructure.

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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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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 +918037244591 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

AWS Certification is a credential provided by Amazon Web Services, validating individuals' expertise in cloud computing and proficiency in utilizing AWS services to design and manage scalable solutions.
The objectives of AWS Certification Training include gaining expertise in cloud computing, mastering AWS services, and validating skills for effective cloud deployment.
AWS Certification Training is suitable for IT professionals, developers, and anyone seeking to enhance their cloud computing skills, particularly those looking to validate their expertise in using Amazon Web Services.
Our AWS Certified Cloud Practitioner Course is best suited for beginners. This AWS Course covers essential topics and provides a foundational understanding of AWS cloud services.
The Knowledge Academy offers a wide range of AWS Certification Courses that cater to a wide range of professionals and industry-need and hence the prerequisites must be checked separately for all AWS Courses.
No, programming skills are not necessary for AWS Courses. While some AWS services can be utilized without extensive programming knowledge, others require scripting or programming skills for effective implementation and customization.
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.
Yes, AWS offers excellent career opportunities as it is widely adopted by organizations 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.
AWS Courses offer numerous benefits, including expanded career opportunities, industry recognition, validating your expertise in cloud computing and providing a competitive edge in the job market. Additionally, AWS Certifications enhance your knowledge, confidence, and access to the AWS community for continuous learning and professional growth.
Choosing AWS Courses from The Knowledge Academy offers several advantages to attendees. We provide world-class training sessions from experienced instructors, ensuring quality learning. Obtaining AWS Certifications makes you proficient in a wide range of AWS topics, and you can find suitable options from beginners to advanced users.
Yes, we offer 24/7 support for these courses via forums, email, or chat, ensuring flexible learning.
If you encounter any difficulties accessing your course, please reach out to our Customer Support Team, available 24/7. You can find the contact information on our official website for prompt assistance.
The Knowledge Academy stands out as 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 Business Development Certification.
Yes, we provide corporate training for this course, tailored to fit your organization’s requirements.
The Knowledge Academy is the Leading global training provider for AWS Certification Training Courses.
The training fees for AWS Certification Training Courses in India starts from INR170295
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