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Developing on AWS

Course content updated by LearnQuest
2,025 USD
3 Days
Classroom Training, Online Training
Amazon Web Services
Cloud Training is now 20% off!
Boost your cloud knowledge and skills from handpicked IT providers.
Promo Code: CLOUD20
Valid through December 31, 2022

AWS Training Pass

Take advantage of flexible training options with the AWS Training Pass and get Authorized AWS Training for a full year.

Learn More

Prices reflect a 22.5% discount for IBM employees.
Prices reflect a 24% discount for Kyndryl employees.
Prices reflect the Accenture employee discount.
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Prices reflect the Capgemini employee discount.
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  • Date: 19-Dec-2022 to 21-Dec-2022
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 2,025 USD
  • Date: 2-Jan-2023 to 4-Jan-2023
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 2,025 USD
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Course Description


Learn how to use the AWS Software Development Kit to develop secure and scalable cloud applications. Students will be able to setup AWS SDK and developer credentials for Java, C#/.NET, Python, and JavaScript. Explore how to interact with AWS services, and develop solutions by using the AWS SDK. Also learn about key concepts, best practices, and troubleshooting tips.


This course is one step in the following Learning Journey:

  1. AWS Developer


Upon completion of the Developing on AWS course, students will be able to:
  • Set up the AWS SDK and developer credentials for Java, C#/.NET, Python, and JavaScript
  • Interact with AWS services and develop solutions by using the AWS SDK
  • Use AWS Identity and Access Management (IAM) for service authentication
  • Use Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB as data stores
  • Integrate applications and data by using AWS Lambda, Amazon API Gateway, Amazon Simple Queue Service (Amazon SQS), Amazon Simple Notification Service (Amazon SNS), and AWS Step Functions
  • Use Amazon Cognito for user authentication
  • Use Amazon ElastiCache to improve application scalability
  • Use containers in the development process
  • Leverage the CI/CD pipeline to deploy applications on AWS


  • Intermediate-level software developers


    We recommend that students have:
    • In-depth knowledge of at least one high-level programming language
    • Working knowledge of core AWS services and public cloud implementation


Day One Module 1: Introduction to AWS
  • Introduction to AWS
  • Cloud scenarios
  • Infrastructure overview
Module 2: Introduction to Developing on AWS
  • Getting started developing on AWS
  • Introduction to developer tools
  • Introduction to management tools
Module 3: Introduction to IAM
  • Shared responsibility model
  • Introduction to IAM
  • User authentication and authorization
Module 4: Introduction to the lab
  • Get access to the lab
  • Choose your language
  • Choose your dev instance
  • Connect to your dev instance
  • Hands-on lab 1: Ready, set, go! Programming languages: Java, .Net, Python ; OS: Windows, Linux
Module 5: Developing solutions with Amazon S3
  • Overview of AWS storage options
  • Key concepts
  • Best practices
  • Troubleshooting
  • Course scenario
  • Hands-on lab 2: Developing storage solutions with Amazon S3
Day Two Module 6: Developing flexible NoSQL solutions with Amazon DynamoDB
  • Introduction to AWS Database Options
  • Amazon DynamoDB
  • Developing with Amazon DynamoDB
  • Best practices
  • Troubleshooting
  • Course scenario
  • Hands-on lab 3: Developing flexible NoSQL solutions with Amazon DynamoDB
Module 7: Developing solutions with AWS Lambda
  • What is serverless computing?
  • Introduction to AWS Lambda
  • How AWS Lambda works
  • Use cases
  • Best practice
  • Course scenario
Module 8: Developing solutions with Amazon API
  • Introduction to Amazon API Gateway
  • Developing with Amazon API Gateway
  • Best practices
  • Introduction to AWS Serverless Application Model (SAM)
  • Course scenario
  • Hands-on lab 4: Developing Event-Driven Solutions with AWS Lambda
Module 9: Developing solutions with Amazon SQS &SNS
  • Why use a queueing service?
  • Developing with Amazon Simple Queue Service (SQS)
  • Developing with Amazon Simple Notification Service (SNS)
  • Developing with Amazon MQ
  • Hands-on lab 5: Developing messaging solutions with Amazon SQS and SNS
Module 10: Developing solutions with AWS Step Functions
  • Understanding the need for AWS Step Functions
  • Introduction to AWS Step Functions
  • AWS Step Functions use case
Day Three Module 11: Caching information with Amazon ElastiCache
  • Caching overview
  • Caching with Amazon ElastiCache
  • Caching strategy
Module 12: Getting started with containers
  • Why containers?
  • Introduction to Docker containers
  • Getting started with Docker
  • Introduction to Amazon Container Services
  • Hands-on lab 6: Getting started with Docker containers OS: Linux
Module 13: Developing secure solutions
  • Securing your applications
  • Authenticating your applications to AWS
  • Authenticating your customers
  • Course scenario
Module 14: Deploying Applications
  • Introduction to DevOps
  • Introduction to deployment and testing strategies
  • Deploying applications with AWS Beanstalk
  • Course scenario
  • Hands-on lab 7: Building an end to end application
  • Course evaluation
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  • Same in-demand topics as instructor-led public and private classes.
  • Standalone learning or supplemental reinforcement.
  • e-Learning content varies by course and technology.
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