AWS Certification Training Courses

Online Instructor-led (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 the United States 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 the United States. 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 the United States 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 the United States 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 the United States, 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)

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 the United States 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 the United States. 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 the United States 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 the United States 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 the United States, 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 the United States, 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)

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 the United States 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 the United States. 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 the United States 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 the United States, 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 the United States, 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)

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 the United States 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 the United States. 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 the United States.

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 the United States 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 the United States, 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)

Online Self-paced (16 hours)

AWS Lambda Training Course Outline

Module 1: Introduction to AWS Lambda

  • What is AWS Lambda?
  • When Should I Use Lambda?
  • Lambda Features
  • Related Services
  • Accessing Lambda

Module 2: Setting Up

  • AWS Account
  • AWS CLI
  • AWS SAM
  • AWS SAM CLI
  • Tools for Container Images
  • Code Authoring Tools

Module 3: Lambda Foundations

  • Features
  • Programming Model
  • Architectures
  • Networking
  • Function Scaling
  • Deployment Packages
  • Lambda Console
  • Lambda CLI

Module 4: AWS Lambda Functions

  • Configuring Functions
  • Managing Functions
  • Invoking Functions

Module 5: Working with Services

  • Node.js
  • Python
  • Ruby
  • Java
  • Go
  • C#
  • PowerShell

Module 6: Monitoring

  • Monitoring Console
  • Function Insights, Metrics, and Logs
  • Code Profiler

Module 7: Security

  • Data Protection
  • Identity and Access Management
  • Compliance Validation
  • Resilience and Infrastructure Security
  • Configuration and Vulnerability Analysis

Module 8: Troubleshooting

  • Deployment
  • Invocation
  • Execution
  • Networking

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Who should attend the AWS Lambda Training Course?

The AWS Lambda Training Course is designed for professionals interested in learning serverless computing and building event-driven applications using Amazon Web Services (AWS) Lambda. This course will benefit the following professionals:

  • Software Developers
  • DevOps Engineers
  • Cloud Engineers
  • Systems Engineers
  • Machine Learning Engineers
  • Security Engineers
  • IT Managers

Prerequisites of the AWS Lambda Training Course

There are no formal prerequisites to attend the AWS Lambda Training Course.

AWS Lambda Training Course Overview

As organizations increasingly adopt serverless computing, understanding AWS Lambda becomes crucial for professionals involved in application development and backend services. AWS Lambda allows code execution at any scale, making it a versatile solution for various applications, from small projects to high-traffic services.

Professionals seeking mastery in cloud computing, application development, and serverless architecture should prioritize learning AWS Lambda. Developers, system architects, and cloud engineers will benefit significantly from acquiring the skills to leverage AWS Lambda's automatic scaling and compute infrastructure management.

This 2-days training in the United States by The Knowledge Academy delves into the intricacies of AWS Lambda, covering essential topics such as Lambda permissions, function management, and invocation. Delegates will gain practical insights into the AWS Lambda environment, applications, and various integrations with services like Amazon API Gateway and AWS CloudTrail.

Course Objectives

  • To provide a comprehensive understanding of AWS Lambda and its significance in serverless computing
  • To equip delegates with the skills to manage Lambda functions, permissions, and invocations
  • To explore AWS Lambda's integration with essential services such as Amazon API Gateway and AWS CloudTrail
  • To guide participants in building Lambda functions with Java for diverse application needs
  • To teach monitoring, troubleshooting, and security practices for AWS Lambda applications
  • To prepare professionals for real-world challenges in implementing serverless architectures using AWS Lambda

Upon completing this course in the United States, delegates will benefit by gaining expertise in AWS Lambda, enabling them to design, deploy, and manage serverless applications effectively. The practical focus of the training ensures that participants are well-prepared to apply their knowledge in real-world scenarios, making them valuable contributors in the era of serverless computing.

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What’s included in this AWS Lambda Training Course?

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

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Online Instructor-led (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 the United States 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 the United States. 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 the United States 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 the United States 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 the United States, 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 the United States, 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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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon Virtual Private Cloud (VPC) Training Course Outline

Module 1: Working of Amazon VPC

  • What is Amazon VPC?
  • Subnets
  • IP Addressing
  • Route Tables
  • Access Internet
  • AWS Private Global Network Considerations

Module 2: Virtual Private Clouds

  • VPC’s Working
  • Default VPC’s
  • DHCP Option Sets
  • DNS Attributes

Module 3: Subnets

  • Work with Subnets
  • Subnet CIDR Reservations
  • Managed Prefix Lists
  • Route Tables
  • Network ACLs

Module 4: Connect VPC

  • Egress-Only Internet Gateways
  • NAT Devices
  • AWS Transit Gateway
  • AWS Virtual Private Network

Module 5: Security

  • Data Protection
  • Infrastructure Security
  • Identity and Access Management
  • Security Groups

Module 6: Advanced Amazon Virtual Private Cloud

  • VPC Endpoint Overview
  • Gateway VPC Endpoints
  • IP Addressing Features

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Who Should Attend the Amazon Virtual Private Cloud Training Course?

The Amazon Virtual Private Cloud Training Course is designed for professionals aiming to develop expertise in creating, configuring, and managing isolated network environments within the Amazon Web Services cloud. This course will benefit the following professionals:

  • Cloud Architects
  • Solutions Architects
  • Network Engineers
  • DevOps Engineers
  • System Administrators
  • IT Managers
  • Security Engineers
  • Infrastructure Manager

Prerequisites of the Amazon Virtual Private Cloud Training Course

There are no formal prerequisites to attend the Amazon Virtual Private Cloud Training Course. However, a basic understanding of cloud computing and networking can be beneficial.

Amazon Virtual Private Cloud (VPC) Training Course Overview

Amazon Virtual Private Cloud (VPC) is a fundamental component for launching AWS resources, providing a customizable and isolated virtual network environment. It allows professionals to exercise precise control over their virtual networking setup, encompassing IP address ranges, subnet configurations, route tables, and network gateways.

Professionals aiming to master Amazon VPC include architects, network engineers, and IT specialists involved in designing and managing AWS infrastructure. This knowledge is vital for creating scalable and secure cloud environments tailored to specific business needs in the United States. With IPv4 and IPv6 support, VPC offers a robust foundation for building resilient and secure cloud architectures.

This 1-day training by The Knowledge Academy in the United States delves into the core concepts of Amazon VPC and its networking components. Participants will gain insights into security groups, subnets, Network Address Translation (NAT), and Virtual Private Network (VPN). The course covers end-to-end networking knowledge, providing delegates with a comprehensive understanding of how to design, implement, and manage VPCs effectively.

Course Objectives

  • To provide a comprehensive understanding of Amazon Virtual Private Cloud (VPC) fundamentals
  • To equip delegates with knowledge of VPC networking components
  • To explain the concepts of security groups, subnets, Network Address Translation (NAT), and Virtual Private Network (VPN)
  • To cover key aspects of VPC configuration and customization
  • To offer practical insights into building scalable and secure virtual network environments on AWS
  • To empower participants with the skills needed to design, implement, and manage VPCs effectively

Upon completing this course in the United States, delegates will benefit by acquiring in-depth knowledge of Amazon VPC, enabling them to design and manage virtual networking environments on AWS with confidence. The practical focus of the training ensures that participants are well-prepared to apply their VPC expertise in real-world scenarios, making them valuable contributors to AWS infrastructure projects.

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What’s included in this Amazon Virtual Private Cloud Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon Virtual Private Cloud Certificate
  • Digital Delegate Pack

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Building Data Lakes on AWS Training Course Outline

Module 1: Introduction to Data Lakes

  • Describe the Value of Data Lakes
  • Compare Data Lakes and Data Warehouses
  • Describe the Components of a Data Lake
  • Recognize Common Architectures Built on Data Lakes

Module 2: Data ingestion, Cataloguing, and Preparation

  • Describe the Relationship Between Data Lake Storage and Data Ingestion
  • Describe AWS Glue Crawlers and How They Are Used to Create a Data Catalogue
  • Identify Data Formatting, Partitioning, and Compression for Efficient Storage and Query
  • Lab 1: Set Up a Simple Data Lake

Module 3: Data Processing and Analytics

  • Recognize How Data Processing Applies to a Data Lake
  • Use AWS Glue to Process Data Within a Data Lake
  • Describe How to Use Amazon Athena to Analyse Data in a Data Lake

Module 4: Building a data lake with AWS Lake Formation

  • Describe the Features and Benefits of AWS Lake Formation
  • Use AWS Lake Formation to Create a Data Lake
  • Understand the AWS Lake Formation Security Model
  • Lab 2: Build a Data Lake Using AWS Lake Formation

Module 5: Additional Lake Formation Configurations

  • Automate AWS Lake Formation Using Blueprints and Workflows
  • Apply Security and Access Controls to AWS Lake Formation
  • Visualize Data with Amazon QuickSight
  • Lab 3: Automate Data Lake Creation Using AWS Lake Formation Blueprints
  • Lab 4: Data Visualization Using Amazon QuickSight

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Who should attend this Building Data Lakes on AWS Training Course?

The Building Data Lakes on AWS Course in the United States is designed for a wide range of professionals who are involved in designing, building, and managing data lakes on the AWS cloud platform. The following professionals can greatly benefit from attending this course:

  • Data Engineers
  • Database Administrators
  • Data Analysts
  • Data Scientists
  • Solution Architects
  • DevOps Engineers
  • Business Intelligence Professionals

Prerequisites of the Building Data Lakes on AWS Builders Training Course

Before attending this Building Data Lakes on AWS Course in the United States, delegates should have completed AWS Technical Essentials Training.

Building Data Lakes on AWS Training Course Overview

Building Data Lakes on AWS is a crucial training course that introduces professionals to the concept of Data Lakes, a central repository capable of storing vast amounts of unstructured and structured data. With the prominence of Amazon Web Services (AWS) as a leading cloud platform, this course is highly relevant for businesses seeking comprehensive solutions for collecting, storing, and analyzing data at any scale and cost-effectively.

Professionals who should aim at mastering Building Data Lakes on AWS include operational support engineers, cloud software engineers, AWS solutions architects, and others seeking roles in data management and analytics. Acquiring expertise in AWS Lake Formation positions individuals for significant job titles and competitive compensation in the United States.

The Knowledge Academy's 1-day training in the United States on Building Data Lakes on AWS is designed to provide a comprehensive understanding of AWS Lake Formation. Delegates will delve into topics such as data lake and warehouse comparison, data formatting, partitioning, compression for efficient storage and query, AWS Lake Formation security model, and components of a data lake.

Course Objectives

  • To compare and describe data lakes and warehouses
  • To identify data formatting, partitioning, and compression for efficient storage and query
  • To understand the AWS Lake Formation security model
  • To describe the components of a data lake
  • To recognize common architectures built on data lakes
  • To visualize data with Amazon QuickSight

Upon completing this course in the United States, delegates will benefit by gaining practical insights into optimizing the cost and performance of Data Lakes on AWS. They will acquire the skills necessary to navigate the complexities of data storage, security, and analytics within AWS Lake Formation, enhancing their proficiency for roles in data management and AWS solutions architecture.

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

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

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Introduction to AWS Security Course Outline

Module 1: Introduction to Cloud Security

  • What is Cloud Security?
  • Benefits of Cloud Security

Module 2: Secure Global Infrastructure and Compliance

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

Module 3: Secure Responsibility and Trusted Advisor

  • Shared Responsibility Model
  • Trusted Advisor

Module 4: Identity and Access Management (IAM)

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

Module 5: Encryption Essentials

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

Module 6: Operating System-Level Access

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

Module 7: Introduction to Data Security

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

Module 8: Operating System Security

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

Module 9: Infrastructure Security

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

Module 10: Monitoring, Alerting, and Auditing

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

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Who should attend this Introduction to AWS Security Course?

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

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

Prerequisites of the Introduction to AWS Security Course

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

Introduction to AWS Security Course Overview

The Introduction to AWS Security Course in the United States offered by The Knowledge Academy is a pivotal course addressing the critical domain of Amazon Web Services (AWS) security. This AWS Course provides a foundational understanding of AWS security principles, highlighting its significance in protecting sensitive data and upholding the integrity of cloud-based infrastructures.

Professionals in IT, Cloud Architecture, and Security must prioritize mastering AWS Security to safeguard digital assets, identify vulnerabilities, and ensure compliance adherence. This course is tailored for those seeking to fortify their organization's cyber defences, making it an essential learning opportunity in today's digital landscape.

This 1-day training in the United States equips the delegates with a comprehensive skill set, enabling them to implement robust security measures, securely configure AWS services, and respond effectively to security incidents. The course structure combines theoretical knowledge with hands-on exercises, ensuring practical insights into AWS Security implementation.

Course Objectives

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

Upon completing this course in the United States, delegates will benefit by gaining a solid foundation in AWS Security, enhancing their capabilities to secure digital assets, comply with industry standards, and contribute to the overall cybersecurity posture of their organizations. The practical knowledge acquired during the training ensures that professionals are well-prepared to tackle real-world security challenges in AWS environments.

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

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

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS Data Analytics Fundamentals Training Course Outline

Module 1: Introduction to Data Analysis Solutions

  • Data Analytics and Data Analysis Concepts
  • Introduction to the Challenges of Data Analytics

Module 2: Volume – Data Storage

  • Amazon S3
  • Data Lakes
  • Data Storage Methods

Module 3: Velocity – Data Processing

  • Data Processing Methods
  • Batch Data Processing
  • Stream Data Processing

Module 4: Variety – Data Structure and Types

  • Source Data Storage
  • Structured Data Stores
  • Semistructured and Unstructured Data Stores

Module 5: Veracity – Cleansing and Transformation

  • Understanding Data Integrity
  • Understanding Database Consistency
  • Introduction to the ETL Process

Module 6: Value – Reporting and Business Intelligence

  • Analyzing Data
  • Visualizing Data

Module 7: Key Takeaways

  • Putting the Pieces Together

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Who should attend this AWS Data Analytics Fundamentals Training Course?

The AWS Data Analytics Fundamentals Training Course is designed for individuals interested in gaining a foundational understanding of data analytics using Amazon Web Services. The following professionals can greatly benefit from attending this course:

  • Data Analysts
  • Data Engineers
  • Database Administrators
  • Data Scientists
  • IT Professionals
  • System Administrators
  • Solution Architects

Prerequisites of the AWS Data Analytics Fundamentals Training Course

There are no formal prerequisites for this AWS Data Analytics Fundamentals Course. However, familiarity with database concepts and AWS Database Services can be beneficial for the delegates.

AWS Data Analytics Fundamentals Training Course Overview

Data analytics, the process of extracting insights from raw data, plays a crucial role in informed decision-making. The AWS Data Analytics Fundamentals Training in the United States is designed to equip learners with the essential skills needed to plan and implement effective data analysis solutions. As businesses increasingly rely on data-driven strategies, this course becomes indispensable for individuals aiming to contribute to their organization's success.

Professionals in various domains, including Data Analysis, Business Intelligence, and Decision Support, should prioritize mastering Data Analytics Fundamentals on AWS. The course in the United States empowers individuals to leverage AWS services for data collection, processing, analysis, and presentation, providing a comprehensive skill set crucial for career advancement in the data analytics field.

This intensive 1-day training in the United States covers a spectrum of essential topics, including different data structures, types of data analysis, stream data processing, data storage methods, and database consistency. Delivered by highly experienced trainers, the AWS Course ensures delegates gain a deep understanding of data analytics, preparing them to tackle real-world challenges and contribute meaningfully to their organizations' analytical capabilities.

Course Objectives

  • To understand various data structures and types of data analysis
  • To learn stream data processing techniques
  • To explore different data storage methods and data stores
  • To comprehend database consistency in analytics
  • To visualize data effectively using AWS services
  • To address the challenges associated with data analytics

Upon completing this course in the United States, delegates will benefit by gaining in-depth knowledge of data analytics fundamentals, enhancing their ability to navigate diverse data challenges. The practical insights acquired during the training will empower individuals to apply analytics techniques effectively, contributing to informed decision-making within their organizations.

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What’s included in this AWS Data Analytics Fundamentals Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • AWS Data Analytics Fundamentals Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon AppStream Training Course Outline

Module 1: What is Amazon AppStream 2.0?

  • Setting Up
  • Set Up with Sample Applications

Module 2: Networking and Access

  • Internet Access
  • VPC Requirements
  • Amazon S3 VPC Endpoints
  • AppStream 2.0 Connections to Your VPC
  • User Connections to AppStream 2.0

Module 3: Image Builders

  • Launch an Image Builder
  • Connect to an Image Builder
  • Image Builder Actions
  • Instance Metadata for Image Builders
  • Install AMD Driver on Graphics Design Instances
  • Base Image and Managed Image Update Release Notes

Module 4: Images

  • Default Settings and Application Launch Performance
  • Manage AppStream 2.0 Agent Versions
  • Agent Release Notes
  • Tutorial: Create a Custom Image by Using the Console
  • Administer Your Images
  • Create Your AppStream 2.0 Image Programmatically
  • Create Your Linux-Based Images
  • Use Session Scripts to Manage Your Users' Streaming Experience

Module 5: Applications Manager

  • App Blocks
  • App Block Builder
  • Applications
  • Store Application Icon, Setup Script, Session Script, and VHD in an S3 Bucket
  • Associate Applications to Elastic Fleets
  • Additional Resources

Module 6: Fleets and Stacks

  • Fleet Types
  • Instance Families
  • Create a Fleet and Stack
  • Customize a Fleet
  • Update a Fleet
  • Fleet Auto Scaling

Module 7: User Authentication

  • AppStream 2.0 User Pools
  • SAML 2.0 Integration

Module 8: Using Active Directory

  • Add Your Custom Branding to AppStream 2.0
  • Embed AppStream 2.0 Streaming Sessions

Module 9: Administer Persistent Storage

  • Administer Home Folders
  • Administer Google Drive
  • Administer OneDrive for Business

Module 10: Enable Application Settings Persistence for Your Users

  • How Application Settings Persistence Works
  • Enabling Application Settings Persistence
  • Administer the VHDs for Your Users' Application Settings

Module 11: Enable Regional Settings for Your Users

  • Configure Default Regional Settings for Your Users
  • Enable Your Users to Configure Their Regional Settings

Module 12: Manage Application Entitlements

  • Attribute-Based Application Entitlements
  • Dynamic Application Framework

Module 13: Provide User Access

  • Provide Access Through a Web Browser
  • Provide Access Through the Client
  • Tagging Your Resources

Module 14: Monitoring and Reporting

  • Monitoring Resources
  • Usage Reports
  • Logging AppStream 2.0 API Calls

Module 15: Security

  • Data Protection
  • Identity and Access Management
  • Logging and Monitoring
  • Compliance Validation
  • Resilience
  • Infrastructure Security
  • Security Groups
  • Update Management
  • Confused Deputy Prevention

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Who Should Attend the Amazon AppStream Training Course?

The Amazon AppStream Training Course in the United States is tailored for professionals who aim to gain expertise in leveraging Amazon AppStream for secure and scalable application streaming. This course will benefit the following professionals:

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

Prerequisites of the Amazon AppStream Training Course

There are no formal prerequisites to attend the Amazon AppStream Training Course in the United States. However, a basic understanding of cloud computing and virtual machines would be beneficial.

Amazon AppStream Training Course Overview

Amazon AppStream, a cutting-edge managed application streaming service, revolutionizes user access to desktop applications by providing instant and secure accessibility from any location. This AWS Course in the United States is designed to introduce professionals to the intricacies of Amazon AppStream, emphasizing its relevance in facilitating seamless application deployment and scaling while delivering a responsive user experience.

Understanding Amazon AppStream is crucial for IT professionals, system administrators, and those responsible for application deployment. Mastery of this service empowers them to efficiently manage AWS resources, create and deploy application catalogs, and configure fleets and networks. As businesses increasingly adopt cloud-based solutions, AppStream proficiency becomes essential for professionals striving to enhance application accessibility and user experience.

This 1-day training by The Knowledge Academy in the United States comprehensive training equips delegates with practical skills, including creating an AppStream 2.0 image builder, deploying an image builder, configuring fleets and networks, and managing user access. The course covers the entire process, from creating an application catalog to testing applications with local user accounts.

Course Objectives

  • To create an AppStream 2.0 image builder
  • To deploy an image builder and connect to it
  • To install and manage applications on AppStream
  • To configure fleets and networks for optimal performance
  • To create an AppStream 2.0 Stack and streaming URL
  • To manage user access efficiently using an AppStream user pool

Upon completing this course in the United States, delegates will benefit by gaining practical expertise in Amazon AppStream, enabling them to streamline application deployment, optimize network configurations, and enhance user access. The acquired skills position professionals to navigate the evolving landscape of cloud-based application streaming, contributing significantly to their roles within their organizations.

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What’s included in this Amazon AppStream Training Course?

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

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Online Instructor-led (3 days)

Online Self-paced (24 hours)

AWS Professional Solutions Architect Training Course Outline

Module 1: Design for Organizational Complexity

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

Module 2: Design for New Solutions

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

Module 3: Migration Planning

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

Module 4: Cost Control

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

Module 5: Continuous Improvement for Existing Solutions

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

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Who should attend this AWS Professional Solutions Architect Training Course?

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

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

Prerequisites of the AWS Professional Solutions Architect Training Course

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

AWS Professional Solutions Architect Training Course Overview

The AWS Professional Solutions Architect Training in the United States is a pivotal learning experience for individuals seeking to excel in cloud architecture. This course dives into the realm of Amazon Web Services (AWS), focusing on the intricacies of solution architecture. As businesses increasingly migrate to cloud environments, the role of a Solutions Architect becomes paramount, making this training highly relevant and timely.

Understanding AWS at a professional level is imperative for IT Architects, System Architects, and professionals involved in designing and implementing scalable, secure, and reliable applications on AWS. This course in the United States caters to those looking to master advanced architectural concepts, design principles, and best practices specific to AWS. With the growing demand for skilled AWS Solutions Architects, learning this course becomes imperative.

This 3-day training in the United States equips delegates with practical skills, strategic insights, and hands-on experience necessary for AWS Solutions Architect certification. The curriculum covers key topics such as architectural best practices, designing for security and compliance, and high-availability deployment strategies.

Course Objectives

  • To understand and apply architectural best practices on AWS
  • To design secure, scalable, and cost-effective solutions on AWS
  • To implement high-availability deployment strategies
  • To leverage AWS services for optimal performance
  • To design solutions for flexibility and growth
  • To prepare for the AWS Professional Solutions Architect certification exam

Upon completing this course in the United States, delegates will benefit by gaining in-depth knowledge of AWS architecture, enhanced problem-solving skills, and the ability to design advanced solutions. With the AWS Professional Solutions Architect certification in hand, professionals will be well-positioned to take on challenging roles, contribute to organizational success, and navigate the complex landscape of cloud architecture with confidence.

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

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

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS EMR Training Course Outline

Module 1: Introduction to Amazon EMR

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

Module 2: Amazon EMR Notebooks

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

Module 3: Plan and Configure Clusters with Amazon EMR

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

Module 4: Manage Cluster in Amazon EMR

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

Module 5: Security in Amazon EMR

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

Module 6: Troubleshooting in Cluster

  • Troubleshooting Strategies
  • Tools for Troubleshooting

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Who should attend this AWS EMR Training Course?

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

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

Prerequisites of the AWS EMR Training Course

There are no formal prerequisites to attend the AWS EMR Training Course in the United States.

AWS EMR Training Course Overview

The AWS EMR, or Amazon Elastic MapReduce Training in the United States, provides a comprehensive understanding of this essential cloud service designed for efficient big data processing. As organizations increasingly rely on big data for strategic decision-making, mastering AWS EMR becomes crucial for professionals working in data analytics and cloud computing.

Professionals in roles such as Data Engineers, Data Scientists, and Cloud Architects stand to gain significantly from acquiring proficiency in AWS EMR. This training equips them with the skills to process, analyse, and visualize large datasets, enabling them to extract valuable insights and optimize business processes. With AWS EMR expertise, professionals enhance their ability to contribute to data-driven decision-making and stay ahead of competition in the United States.

During this 1-day training in the United States, the delegates will delve into the intricacies of AWS EMR, covering its architecture, operational principles, and cluster planning. The hands-on experience provided in the training, including working with Amazon Machine Images (AMIs) and cluster management, ensures that delegates acquire practical skills.

Course Objectives

  • To understand the architecture and operational principles of AWS EMR
  • To plan and configure clusters for master, task, and core nodes
  • To gain hands-on experience with Amazon Machine Images (AMIs) and cluster management
  • To implement cluster security measures for data protection
  • To troubleshoot AWS EMR clusters efficiently
  • To prepare for real-world scenarios in big data processing

Upon completing this course in the United States, delegates will benefit by gaining practical skills in AWS EMR, enhancing their capabilities in processing and analyzing big data. The knowledge acquired in this training positions professionals to make significant contributions to their organizations by efficiently managing and extracting valuable insights from large datasets using AWS EMR.

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What’s included in this AWS EMR Training Course?

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

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Introduction to AWS IoT Course Outline

Module 1: Introduction to AWS IoT

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

Module 2: Amazon Web Services

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

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

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

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Who should attend this Introduction to AWS IoT Course?

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

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

Prerequisites of the Introduction to AWS IoT Course

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

Introduction to AWS IoT Course Overview

The Introduction to AWS IoT Course in the United States provides an in-depth exploration of the Internet of Things (IoT) and its foundational role in various industries. Delving into AWS IoT, the course is designed to offer delegates crucial insights into the relevance and real-world applications of AWS IoT, contributing to their understanding of this transformative technology.

Proficiency in AWS IoT is a key requirement for IT Professionals, IoT Developers, and Cloud Architects. Mastery of this subject empowers professionals to leverage the potential of IoT for data-driven decision-making and innovation across diverse domains. As IoT continues to reshape industries, acquiring knowledge in AWS IoT becomes essential for professionals aspiring to stay at the forefront of technological advancements in the United States.

In this 1-day course in the United States, delegates will acquire knowledge of fundamental AWS services, including Elastic Compute Cloud (EC2), Elastic Block Store (EBS), Virtual Private Cloud (VPC), S3, AWS Lambda, Simple Notification Service (SNS), DynamoDB, and Amazon Machine Learning. The course comprehensively covers additional AWS services such as CloudWatch, CloudFormation, and the Command Line Interface (CLI).

Course Objectives

  • To gain knowledge of key AWS services essential for IoT implementation
  • To explore AWS CloudWatch, CloudFormation, and the Command Line Interface (CLI) for IoT applications
  • To delve into the IoT device stack, covering device registry and management, message brokers, and device shadow
  • To comprehend the role of AWS Greengrass Core in IoT deployments
  • To prepare professionals for hands-on application of AWS IoT concepts in real-world scenarios

Upon completing this course in the United States, delegates will benefit by gaining a comprehensive understanding of AWS IoT, enabling them to apply IoT concepts effectively in their professional roles. The practical knowledge acquired during the training positions professionals to contribute to the innovative and evolving landscape of IoT technologies.

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

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

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon FSx Training Course Outline

Module 1: Introduction to Amazon FSx

  • What is Amazon Amazon FSx?
  • Supported Clients, Access Methods, and Environments
  • Availability and Durability
  • Working with Active Directory

Module 2: Migrating to Amazon FSx

  • Migrating Files to FSx for Windows File Server
  • Migrating File Share Configurations
  • Migrating DNS Configuration to Use Amazon FSx
  • Cutting Over to Amazon FSx
  • Windows File Server with Microsoft SQL Server
  • Windows File Server with Amazon Kendra

Module 3: Protecting Data

  • Working with Backups
  • Working with Shadow Copies
  • Scheduled Replication

Module 4: Administering File Systems

  • DNS Aliases and File Shares
  • File Access Auditing
  • User Sessions and Open Files
  • Data Deduplication, Storage Quotas, and Shadow Copies
  • Encryption in Transit and Storage Capacity
  • Maintenance Windows

Module 5: Monitoring File Systems

  • Monitoring Tools
  • Monitoring with CloudWatch

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Who Should Attend the Amazon FSx Training Course?

The Amazon FSx Training in the United States is tailored for professionals seeking comprehensive knowledge of Amazon FSx, a fully managed file system service that provides highly available and durable shared storage in the cloud. This course will benefit the following professionals:

  • System Administrators
  • Cloud Engineers
  • Storage Administrators
  • DevOps Engineers
  • Solution Architects
  • Technical Leaders
  • IT Managers
  • Data Engineers

Prerequisites of the Amazon FSx Training Course

There are no formal prerequisites to attend the Amazon FSx Training Course in the United States. However, a basic understanding of cloud computing and file systems would be beneficial.

Amazon FSx Training Course Overview

Amazon FSx for Windows File Server is a fully managed Microsoft Windows file server, delivering comprehensive support for enterprise applications on AWS. With native compatibility, robust features, and optimal performance, Amazon FSx facilitates the seamless transition of enterprise workloads to AWS. This training in the United States provides a deep dive into the capabilities of Amazon FSx, emphasizing its relevance in the context of managed file storage built on Microsoft Windows Server.

Proficiency in Amazon FSx is essential for IT Professionals and Cloud Architects engaged in enterprise application migration to AWS. The course equips professionals with the skills to effectively map file shares to EC2 instances, manage file shares, user sessions, and open files. As organizations increasingly leverage AWS for their file storage needs, mastering Amazon FSx becomes a strategic advantage for professionals seeking career advancement in the United States.

This 1-day training by The Knowledge Academy in the United States empowers delegates with practical knowledge to migrate existing file datasets seamlessly into Amazon FSx file systems. Participants will learn crucial aspects, such as protecting data with shadow copies and backups, deploying multi-AZ file systems, and monitoring file systems. The course also covers file system access control within Amazon VPC, etc.

Course Objectives

  • To understand the features and performance of Amazon FSx for Windows File Server
  • To learn the process of mapping file shares to EC2 instances running Windows Server
  • To gain proficiency in managing file shares, user sessions, and open files
  • To acquire the skills for migrating existing file datasets into Amazon FSx file systems
  • To learn data protection strategies with shadow copies and backups
  • To comprehend the deployment of multi-AZ file systems and monitor file systems effectively

Upon completing this course in the United States, delegates will benefit by gaining in-depth knowledge of Amazon FSx, enhancing their ability to architect and manage enterprise-grade file storage solutions on AWS. The practical skills acquired during the training enable professionals to contribute significantly to the successful deployment and management of file systems on the AWS cloud platform.

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What’s included in this Amazon FSx Training Course?

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

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon Simple Notification Service Training Course Outline

Module 1: What is Amazon SNS?

  • Features and Capabilities
  • Related Services
  • Accessing Amazon SNS
  • Pricing for Amazon SNS
  • Common Amazon SNS Scenarios
  • Working with AWS SDKs

Module 2: Configuring Amazon SNS 

  • Creating a Topic
  • Subscribing to a Topic
  • Deleting a Subscription and Topic  
  • Tagging

Module 3: Message Ordering and Deduplication 

  • FIFO Topics Use Case
  • Message Ordering Details
  • Message Grouping, Delivery, and Filtering
  • Message Deduplication, Security, and Durability

Module 4: Message Publishing and Filtering

  • Large Message Payloads
  • Message Attributes
  • Message Batching

Module 5: Message Delivery

  • Features and Capabilities
  • Message and Raw Message Delivery
  • Cross-Account and Region Delivery
  • Message Delivery Status and Retries
  • Dead-Letter Queues (DLQs)
  • Message Archiving and Analytics

Module 6: Application-to-Application Messaging

  • Fanout to Kinesis Data Firehose Delivery Streams
  • Fanout to Lambda Functions
  • Fanout to Amazon SQS Queues
  • Subscribing a Queue to a Topic
  • Fanout to HTTP/S Endpoints
  • Fanout to AWS Event Fork Pipelines

Module 7: Application-to-Person (A2P) Messaging

  • Features and Capabilities
  • Application-to-Person (A2P) Messaging
  • Mobile Text Messaging (SMS)
  • Mobile Push Notifications
  • Email Notifications

Module 8: Security and Troubleshooting

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

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Who Should Attend the Amazon Simple Notification Service Training Course?

The Amazon Simple Notification Service Training Course in the United States is designed for professionals seeking to learn how to effectively use Amazon Web Services (AWS) SNS for building scalable and reliable messaging systems. This course will benefit various professionals, including:

  • Software Engineers
  • DevOps Engineers
  • Systems Administrators
  • Web Developers
  • Mobile Developers
  • IoT Developers
  • Product Managers

Prerequisites of the Amazon Simple Notification Service Training Course

There are no formal prerequisites to attend the Amazon Simple Notification Service (SNS) Training Course in the United States. However, a basic understanding of messaging and cloud computing would be beneficial. 

Amazon Simple Notification Service (SNS) Training Course Overview

Amazon Simple Notification Service (SNS) plays a crucial role in efficiently coordinating and managing the delivery of messages to subscribed endpoints or clients. It is essential to grasp the nuances of SNS, as it enables publishers and subscribers to communicate asynchronously through logical access points known as topics. This comprehensive training in the United States delves into the use of Amazon SNS in contemporary communication systems.

Proficiency in Amazon SNS is particularly crucial for IT Professionals, System Administrators, and Cloud Developers engaged in building scalable and decoupled applications on AWS. This course in the United States focuses on how Amazon SNS works and delves into practical applications, such as leveraging SNS for System-to-System Messaging with AWS Lambda Functions, Amazon SQS Queues, and HTTP/HTTPS endpoints.

This 1-day training in the United States offers delegates an opportunity to gain hands-on experience in monitoring, logging, and troubleshooting Amazon SNS topics. The course ensures that participants not only understand the theoretical concepts but also acquire practical skills to implement and secure Amazon SNS effectively. Upon completion, delegates will have the knowledge to incorporate SNS into their AWS applications securely and efficiently.

Course Objectives

  • To understand the fundamentals of Amazon Simple Notification Service (SNS)
  • To learn how to utilize Amazon SNS for System-to-System Messaging with AWS Lambda Function
  • To explore the integration of Amazon SNS with Amazon SQS Queue and HTTP/HTTPS endpoints
  • To gain proficiency in monitoring, logging, and troubleshooting Amazon SNS topics
  • To learn the best practices for securing Amazon SNS in various application scenarios
  • To acquire hands-on skills in implementing Amazon SNS for efficient and scalable communication systems

Upon completing this course in the United States, delegates will benefit by gaining a deep understanding of Amazon SNS, allowing them to leverage its capabilities for building robust and scalable communication systems on the AWS cloud. The practical knowledge acquired during the training empowers professionals to implement SNS effectively in their projects, enhancing their overall competency in AWS application development.

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What’s included in this Amazon Simple Notification Service Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon Simple Notification Service Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

Amazon SageMaker Training Course Outline

Module 1: Introduction to Amazon SageMaker

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

Module 2: Setting Up Amazon SageMaker

  • Create an IAM Administrator User and Group

Module 3: Get Started with Amazon SageMaker

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

Module 4: Using Notebook Instances

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

Module 5: Build, Train, and Deploy a Model

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

Module 6: Amazon SageMaker with ECR

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

Module 7: Reinforcement Learning with Amazon SageMaker RL

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

Module 8: Security in Amazon SageMaker

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

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Who should attend this Amazon SageMaker Training Course?

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

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

Prerequisites of the Amazon SageMaker Training Course

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

Amazon SageMaker Training Course Overview

Amazon SageMaker,a pivotal service within the AWS (Amazon Web Service) cloud, revolutionizes machine learning model development, training, and deployment. This training provides an in-depth exploration of Amazon SageMaker, empowering participants with the skills to harness the potential of machine learning in AWS. Understanding SageMaker is crucial as it enables developers to build and train machine learning models for predictive or analytical applications.

Professionals specializing in machine learning, data science, and cloud computing are well-positioned to benefit significantly from mastering Amazon SageMaker. This course is particularly relevant for developers, data engineers, and AI practitioners who aim to enhance their proficiency in building and deploying machine learning models using SageMaker.

This 2-days training by The Knowledge Academy offers a comprehensive learning experience, covering essential aspects such as running training jobs, hyperparameter tuning, model packaging, and reinforcement learning with Amazon SageMaker RL. Delegates will gain hands-on experience with popular machine learning frameworks like Apache Spark, TensorFlow, and Apache MXNet.

Course Objectives

  • To run a training job, hyperparameter tuning job, and create a model using Amazon SageMaker
  • To become familiar with machine learning frameworks, including Apache Spark, TensorFlow, and Apache MXNet
  • To gain in-depth knowledge of reinforcement learning with Amazon SageMaker RL
  • To understand the use of Jupyter notebooks and their role in collaborative and interactive machine learning development
  • To learn how to protect data at rest and in transit using encryption in Amazon SageMaker
  • To acquire practical skills for deploying machine learning models using Amazon SageMaker

Upon completing this course, delegates will benefit by gaining expertise in Amazon SageMaker, positioning themselves as proficient contributors to machine learning projects in AWS. The practical knowledge acquired during the training empowers participants to leverage SageMaker effectively, enhancing their capabilities in building, training, and deploying machine learning models for real-world applications in the cloud.

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What’s included in this Amazon SageMaker Training Course?

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

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon WorkSpaces Training Course Outline

Module 1: Introduction to Amazon WorkSpaces

  • What is Amazon WorkSpaces?
  • Features of Amazon WorkSpaces
  • Understanding Architecture

Module 2: Networking, Access, and Security

  • Introduction
  • VPC for Amazon WorkSpaces
  • IP Address and Port Requirements
  • Network Requirements
  • Control Access and Trusted Devices in Amazon WorkSpaces
  • Internet Access
  • Security Groups
  • IP Access Control Groups

Module 3: Directories in Amazon WorkSpaces

  • Introduction to Directories
  • Registering Directory
  • Directory Management Tasks
  • Manage Windows WorkSpaces

Module 4: Monitoring Amazon WorkSpaces

  • Amazon WorkSpace Metrics
  • Dimensions for Amazon WorkSpace Metrics

Module 5: Troubleshooting

  • Enabling Advanced Logging
  • Common Troubleshooting Issues

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Who Should Attend the Amazon WorkSpaces Training Course?

The Amazon WorkSpaces Training Course in the United States is designed for professionals who want to master the setup, management, and optimization of Amazon WorkSpaces, Amazon's fully managed desktop computing service. This course is beneficial to professionals, such as:

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

Prerequisites of the Amazon WorkSpaces Training Course

There are no formal prerequisites to attend the Amazon WorkSpaces Training Course in the United States. However, a basic understanding of cloud computing and operating system concepts can be beneficial.

Amazon WorkSpaces Training Course Overview

Amazon WorkSpaces, a managed virtual desktop infrastructure (VDI) solution, stands as a revolutionary cloud-based approach to secure and scalable desktop computing. In this training in the United States, participants will explore the significance of Amazon WorkSpaces, understanding how it streamlines desktop management. As businesses increasingly shift towards cloud-based solutions, proficiency in Amazon WorkSpaces becomes indispensable.

As businesses increasingly shift towards cloud-based solutions, proficiency in Amazon WorkSpaces becomes indispensable for IT professionals and system administrators. For IT professionals and system administrators, mastering Amazon WorkSpaces is crucial for ensuring efficient and secure desktop computing in a cloud environment.

This 1-day training by The Knowledge Academy in the United States is designed to empower delegates with a comprehensive understanding of Amazon WorkSpaces. Participants will learn to launch WorkSpaces, manage users, troubleshoot issues, and handle key components such as networking, access, security, monitoring, and troubleshooting.

Course Objectives

  • To launch and manage Amazon WorkSpaces for secure and scalable virtual desktop computing
  • To develop skills in troubleshooting common issues associated with Amazon WorkSpaces
  • To gain proficiency in managing key components such as networking, access, and security
  • To enhance knowledge and capabilities for monitoring and troubleshooting Amazon WorkSpaces
  • To understand the significance of cloud-based virtual desktop infrastructure in the modern IT landscape
  • To acquire practical skills for efficiently managing and optimizing Amazon WorkSpaces for diverse organizational needs

Upon completing this course in the United States, delegates will benefit by acquiring the skills and knowledge needed to navigate and manage Amazon WorkSpaces effectively. This expertise positions them as adept professionals capable of ensuring secure and scalable virtual desktop solutions in cloud-based environments.

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What’s included in this Amazon WorkSpaces Training Course?

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

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon Redshift Training Course Outline

Module 1: Introduction to Amazon Redshift

  • What is Amazon Redshift?
  • Benefits
  • Data Warehouse System Architecture
  • Performance
  • Columnar Storage
  • Workload Management

Module 2: Automatic Table Optimization

  • Working with Column Compression
  • Working with Data Distribution Styles
  • Working with Sort Keys
  • Table Constraints

Module 3: Loading and Unloading Data

  • Update with DML
  • Updating and Inserting
  • Performing a Deep Copy
  • Analyse and Vacuum Tables
  • Manage Concurrent Write Operations
  • Unload Data to Amazon S3 and Encrypted Data Files
  • Unloading Data in Delimited or Fixed-Width Format
  • Reloading Unloaded Data

Module 4: Create User Defined Functions and Stored Procedure

  • UDF Security and Privileges
  • Creating a Scalar SQL UDF, Python UDF, and Lambda UDF
  • Stored Procedure Overview

Module 5: Sharing Data Across Clusters

  • Data Sharing Overview
  • Amazon Redshift Data Sharing
  • Data Sharing Lifecycle
  • Manage Permissions for Data Shares
  • Cluster Management and Data Sharing
  • Accessing Metadata for Data Shares
  • AWS Data Exchange for Amazon Redshift

Module 6: Managing Database Security

  • Amazon Redshift Security Overview
  • Default Database User Privileges
  • Superusers
  • Role-based Access Control

Module 7: SQL Reference and Configuration Reference

  • Amazon Redshift SQL
  • SQL, SQL Commands, and Functions Reference
  • Modify the Server Configuration

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Who Should Attend the Amazon Redshift Training Course?

The Amazon Redshift Training Course in the United States is designed for individuals who want to master Amazon's data warehousing solution for analyzing large datasets. This course will benefit the following professionals:

  • Data Analysts
  • Business Intelligence Professionals
  • Data Engineers
  • Data Scientists
  • Database Administrators
  • ETL Developers
  • Cloud Architects
  • Analytics Managers

Prerequisites of the Amazon Redshift Training Course

There are no formal prerequisites to attend the Amazon Redshift Training Course in the United States. However, a basic understanding of cloud computing and relational databases can be beneficial.

Amazon Redshift Training Course Overview

Amazon Redshift Training in the United States introduces participants to Amazon's cutting-edge data warehouse technology, offering a reliable, fast, and fully managed petabyte-scale cloud-based data warehouse solution. In the dynamic landscape of cloud computing, Amazon Redshift plays a pivotal role in responding to the challenges of large-scale data migration, making it an essential subject for IT professionals seeking growth opportunities.

Understanding the importance of data warehousing and Amazon Redshift is crucial in today's technology-driven environment. Amazon's commitment to quality products and services is reflected in Redshift, providing organizations with a robust platform for fast and scalable data management. For IT professionals, especially those involved in data integration, analysis, and visualization, mastering Amazon Redshift is imperative.

This 1-day training in the United Statesdelves into Redshift fundamentals, covering essential topics such as architecture, features, data loading, and data distribution concepts. Delegates will gain practical insights into troubleshooting strategies, enhancing their ability to work with Redshift effectively. As a one-day comprehensive training, this course equips delegates with the fundamental knowledge needed to harness the power of Amazon Redshift.

Course Objectives

  • To understand the fundamentals of Amazon Redshift and its role in data warehousing
  • To gain insights into the architecture and features of Amazon Redshift
  • To acquire knowledge of data loading and data distribution concepts
  • To learn troubleshooting strategies for effective Redshift management
  • To explore data integration, analysis, and visualization with Amazon Redshift

Upon completing this course in the United States, delegates will benefit by gaining comprehensive knowledge of Amazon Redshift, enhancing their proficiency in data warehousing and analytical capabilities in the cloud computing domain.

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What’s included in this Amazon Redshift Training Course?

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

Show moredown

Online Instructor-led (1 days)

Online Self-paced (8 hours)

Practical Data Science with Amazon SageMaker Training​ Course Outline

Module 1: Introduction to Machine Learning

  • Types of ML
  • Job Roles in ML
  • Steps in the ML Pipeline

Module 2: Introduction to Data Prep and SageMaker

  • Training and Test Dataset Defined
  • Introduction to SageMaker
  • SageMaker Console
  • Launching a Jupyter Notebook

Module 3: Problem formulation and Dataset Preparation

  • Business Challenge: Customer Churn
  • Review Customer Churn Dataset

Module 4: Data Analysis and Visualisation

  • Loading and Visualising Your Dataset
  • Cleaning the Data

Module 5: Training and Evaluating a Model

  • Types of Algorithms
  • XGBoost and SageMaker
  • Training the Data
  • Hyper Parameter Tuning with SageMaker
  • Evaluating Model Performance

Module 6: Automatically Tune a Model

  • Automatic Hyper Parameter Tuning with SageMaker

Module 7: Deployment / Production Readiness

  • Deploying a Model to an Endpoint
  • A/B Deployment for Testing
  • Auto Scaling
  • Configure and Test Auto Scaling
  • Check Hyper Parameter Tuning Job
  • AWS Auto Scaling

Module 8: Relative Cost of Errors

  • Cost of Various Error Types
  • Binary Classification Cutoff

Module 9: Amazon SageMaker Architecture and Features

  • Accessing Amazon SageMaker Notebooks in a VPC
  • Amazon SageMaker Batch Transforms
  • Amazon SageMaker Ground Truth
  • Amazon SageMaker Neo

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Who should attend this Practical Data Science with Amazon SageMaker Training Course?

The Practical Data Science with Amazon SageMaker Course is designed for data professionals and analysts who want to harness the power of Amazon SageMaker for effective and practical data science projects. The following professionals can greatly benefit from attending this course:

  • Data Scientists
  • Data Analysts
  • Machine Learning Engineers
  • Cloud Solutions Architects
  • Business Analysts
  • Data Engineers
  • IT Professionals

Prerequisites of the Practical Data Science with Amazon SageMaker Training Course

There are no formal prerequisites for this Practical Data Science with Amazon SageMaker Course. However, familiarity with Python programming language and Machine Learning can be beneficial for the delegates.

Practical Data Science with Amazon SageMaker Training Course Overview

Amazon SageMaker is a powerful cloud-based machine learning platform that simplifies the process of building, training, and deploying machine learning models at scale. With the growing demand for data-driven decision-making, organisations need tools that streamline workflows and enhance productivity. Amazon SageMaker meets this need by providing an integrated environment for data scientists and developers to harness the power of machine learning without extensive infrastructure management.

This Practical Data Science with Amazon SageMaker Training is particularly beneficial for data scientists, machine learning engineers, data analysts, and business intelligence professionals seeking to deepen their understanding of data science methodologies and Amazon SageMaker. Additionally, IT professionals and project managers involved in data-driven projects can also gain valuable insights from this training.

This 1-day Practical Data Science with Amazon SageMaker Training by The Knowledge Academy equips professionals with the practical skills needed to leverage Amazon SageMaker effectively. Delegates will learn to create and deploy machine learning models, streamline their data science workflows, and implement best practices for model optimisation and monitoring. The hands-on approach ensures delegates can apply their learning immediately to real-world scenarios.

Course Objectives

  • To understand the fundamentals of machine learning and data science
  • To navigate the Amazon SageMaker interface effectively
  • To build, train, and deploy machine learning models
  • To implement data pre-processing techniques
  • To evaluate and optimise models for better performance
  • To explore various machine learning algorithms available in SageMaker

Upon completion of the Practical Data Science with Amazon SageMaker Training, delegates will possess the skills to implement data science projects using Amazon SageMaker, enabling them to drive business insights and innovation through effective machine learning solutions. This practical knowledge can significantly enhance their contributions to data-driven initiatives within their organisations.

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What’s included in this Practical Data Science with Amazon SageMaker Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Practical Data Science with Amazon SageMaker Certificate
  • Digital Delegate Pack

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

Amazon ElastiCache for Redis Course Outline

During this Amazon ElastiCache for Redis training, candidates will explore the following topics:

Module 1: What is Amazon ElastiCache for Redis?

  • Introduction to ElastiCache Redis
  • What is Redis?
  • Why Redis?
  • AWS Overview
  • ElastiCache in AWS
  • Components and Features
  • Tools for Managing Implementation
  • Memcached Vs Redis

Module 2: Getting Started with ElastiCache for Redis

  • Setting Up
  • Launch a Cluster
  • Authorising Access
  • Connect to a Cluster Node
  • Deleting a Cluster

Module 3: Managing ElastiCache for Redis Implementation

  • Engine Versions and Upgrading
  • Choosing Regions and Availability Zones
  • Managing Nodes
  • Working with Shards
  • High Availability Using Replication Groups
  • Finding Connection Endpoint
  • Backup and Restore for ElastiCache
  • Scaling ElastiCache for Redis Clusters
  • Configure Engine Parameters Using Parameter Groups

Module 4: Security in Amazon ElastiCache

  • Data Protection
  • Internetwork Traffic Privacy
  • Logging and Monitoring
  • Resilience in Amazon ElastiCache

Module 5: Caching Strategies

  • Caching Strategies
  • Caching Strategies- Lazy Loading
  • Caching Strategies- Write Through
  • Caching Strategies- Add TTL
  • Restricted Redis Commands
  • Managing Reserved Memory

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Who Should Attend the Amazon ElastiCache for Redis Course?

The Amazon ElastiCache for Redis Course is designed for professionals who are looking to enhance their understanding and utilisation of Amazon's ElastiCache service, specifically focused on Redis, a powerful in-memory data store. This course will benefit the following professionals:

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

Prerequisites of the Amazon ElastiCache for Redis Course

There are no formal prerequisites to attend the Amazon ElastiCache for Redis Course. 

Amazon ElastiCache for Redis Course Overview

This course explains Amazon ElastiCache for Redis. It is a web service to set up, scale, and manage a distributed in-memory data or cache environment in the cloud. Amazon ElastiCache provides a high-performance, cost-effective and scalable caching solution. Amazon ElastiCache also helps to remove the complexity linked with deploying a distributed cache environment.

In this course, delegates will learn about ElastiCache resources, component, and features. They will also gain an understanding of how to manage ElastiCache for Redis implementation. In addition, delegates will learn how to configure an engine parameter using a parameter group.

This course teaches delegates about data protection, internetwork traffic privacy, identity and access management, logging and monitoring, compliance validation and infrastructure security. Post completion of this training, delegates will get familiarised with caching strategies.

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What’s included in this Amazon ElastiCache for Redis Course?

  • World-Class Training Sessions from Experienced Instructors
  • Amazon ElastiCache for Redis Certificate
  • Digital Delegate Pack

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

Security Engineering on AWS Training​ Course Outline

Module 1: Security on AWS

  • Security in the AWS Cloud
  • AWS Shared Responsibility Model
  • Incident Response Overview
  • DevOps with Security Engineering

Module 2: Identifying Entry Points on AWS

  • Identify the Different Ways to Access the AWS Platform
  • Understanding IAM Policies
  • IAM
    • Permissions Boundary
    • Access Analyser
  • Multi-Factor Authentication
  • AWS CloudTrail

Module 3: Security Considerations: Web Application Environments

  • Threats in a Three-Tier Architecture
  • Common Threats
    • User Access
    • Data Access
  • AWS Trusted Advisor

Module 4: Application Security

  • Amazon
    • Machine Images
    • Inspector
  • AWS Systems Manager

Module 5: Data Security

  • Data Protection Strategies
  • Encryption on AWS
  • Protecting
    • Data at Rest with Amazon S3, Amazon RDS, Amazon DynamoDB
    • Archived Data with Amazon S3 Glacier
  • Amazon S3 Access
    • Analyser
    • Amazon S3 Access Points

Module 6: Securing Network Communications

  • Amazon VPC
    • Security Considerations
    • Amazon VPC Traffic Mirroring
  • Responding to Compromised Instances
  • Elastic Load Balancing
  • AWS Certificate Manager

Module 7: Monitoring and Collecting Logs on AWS

  • Amazon CloudWatch and CloudWatch Logs
  • AWS Config
  • Amazon
    • Macie
    • VPC Flow Logs
    • S3 Server Access Logs
  • ELB Access Logs

Module 8: Processing Logs on AWS

  • Amazon Kinesis
  • Amazon Athena

Module 9: Security Considerations: Hybrid Environments

  • AWS Site-to-Site and Client VPN Connections
  • AWS Direct Connect
  • AWS Transit Gateway

Module 10: Out-Of-Region Protection

  • Amazon Route 53
  • AWS WAF
  • Amazon CloudFront
  • AWS Shield
  • AWS Firewall Manager
  • DDoS mitigation on AWS

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Who should attend this Security Engineering on AWS Training Course?

The Security Engineering on AWS Training is designed for professionals who want to deepen their understanding of security practices and principles on the Amazon Web Services (AWS) platform. The following professionals can greatly benefit from attending this course:

  • Security Engineers
  • Security Analysts
  • Business Analysts
  • System Administrators
  • Cloud Architects
  • DevOps Engineers
  • IT Managers

Prerequisites of the Security Engineering on AWS Training Course

Before attending this Security Engineering on AWS Training, delegates should have completed the Architecting on AWS and Introduction to AWS Security courses and should be familiar with the AWS Security Services.

Security Engineering on AWS Training Course Overview

Security Engineering on AWS is vital for organisations leveraging cloud infrastructure to ensure their applications and data are protected. With the rapid adoption of cloud technologies, businesses face increasing threats, making the implementation of robust security controls on AWS critical. Understanding best practices, encryption techniques, and identity management is essential to safeguarding sensitive data and ensuring compliance in the cloud.

This Security Engineering on AWS Training will benefit cloud architects, security engineers, IT professionals, and network administrators who are responsible for securing cloud infrastructures and ensuring the integrity of applications hosted on AWS. It is ideal for individuals who want to develop their skills in designing and managing secure environments on AWS.

This 2 Days Security Engineering on AWS Training by The Knowledge Academy offers professionals the tools and knowledge to implement security measures effectively within AWS. Delegates will explore the core security services AWS provides, how to configure them, and how to develop a comprehensive security strategy to manage access, encryption, and logging in the cloud.

Course Objectives

  • To perform and automate security checks
  • To configure authentication and permissions for applications and resources
  • To monitor AWS resources and respond to incidents
  • To capture and process logs
  • To create and configure automated and repeatable deployments with tools such as AMIs and AWS CloudFormation

After attending this Security Engineering on AWS Training, delegates will be able to protect data at rest with Amazon S3, Amazon RDS, and Amazon DynamoDB, and protect archived data with Amazon S3 Glacier. They will also be able to use Amazon CloudWatch logs to monitor, store, and access their log files from Amazon Elastic Compute Cloud (Amazon EC2) instances, AWS CloudTrail, Route 53, and other sources.

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What’s included in this Security Engineering on AWS Course?

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

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

AWS Specialty Advanced Networking Training​ Course Outline

Module 1: Introduction to Advanced Networking

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

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

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

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

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

Module 4: Virtual Private Networks

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

Module 5: AWS Direct Connect

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

Module 6: Domain Name System and Load Balancing

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

Module 7: Amazon CloudFront

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

Module 8: Network Security

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

Module 9: Network Performance

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

Module 10: Automation

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

Module 11: Service Requirements

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

Module 12: Hybrid Architectures

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

Module 13: Network Troubleshooting

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

Module 14: Billing

  • Billing Overview
  • Types of Data Transfer
  • Scenarios

Module 15: Risk and Compliance

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

Module 16: Scenarios and Reference Architecture

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

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Who should attend this AWS Specialty Advanced Networking Training Course? 

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

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

Prerequisites of the AWS Specialty Advanced Networking Training Course

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

AWS Specialty Advanced Networking Training Course Overview

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

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

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

Course Objectives

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

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

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

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

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Online Instructor-led (1 days)

Online Self-paced (8 hours)

AWS Cloud9 Training Course Outline

Module 1: Introduction to AWS Cloud9

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

Module 2: Setting Up

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

Module 3: Working with Environments

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

Module 4: Working with the IDE

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

Module 5: AWS Toolkit

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

Module 6: Security

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

Module 7: Troubleshooting AWS Cloud9

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

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Who should attend this AWS Cloud9 Training Course?

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

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

Prerequisites of the AWS Cloud9 Training Course

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

AWS Cloud9 Training Course Overview

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

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

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

Course Objectives

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

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

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What’s included in this AWS Cloud9 Training?

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

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Online Instructor-led (2 days)

Online Self-paced (16 hours)

AWS Aurora Training Course Outline

Module 1: Introduction to AWS Aurora

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

Module 2: Configuring Your Aurora DB Cluster

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

Module 3: Managing an Aurora DB Cluster

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

Module 4: Monitoring an Aurora DB Cluster

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

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Who should attend this AWS Aurora Training?

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

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

Prerequisites of the AWS Aurora Training Course

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

AWS Aurora Training Course Overview

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

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

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

Course Objectives

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

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

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What’s included in this AWS Aurora Training?

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

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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 +1 7204454674 or Inquire.

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 the United States starts from $3195
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