Developing on AWS

Developing on AWS helps developers understand how to use the AWS SDK to develop secure and scalable cloud applications. The course provides in-depth knowledge about how to interact with AWS using code and covers key concepts, best practices, and troubleshooting tips.

In this course you will learn how 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 Web Identity Framework and 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


  • Software developers 
  • Solution architects
  • IT professionals who want to improve their developing skills using AWS Services


  • Attended AWS Technical Essentials classroom training or have equivalent experience 
  • Working knowledge of AWS core services
  • Programming experience in any one ofthe following languages:
    • Python
    • .NET
    • Java

Delivery Method

This course includes presentations, demonstrations, and hands-on labs.

Course outline:


  • Module 1: Course Overview
    • Logistics
    • Student resources
    • Agenda
    • Introductions

    Module 2: Building a Web Application on AWS
    • Discuss the architecture of the application you are going to build during this course
    • Explore the AWS services needed to build your web application
    • Discover how to store, manage, and host your web application

    Module 3: Getting Started with Development on AWS
    • Describe how to access AWS services programmatically
    • List some programmatic patterns and how they provide efficiencies within AWS SDKs and
    • Explain the value of AWS Cloud9

    Module 4: Getting Started with Permissions
    • Review AWS Identity and Access Management (IAM) features and components permissions
    to support a development environment
    • Demonstrate how to test AWS IAM permissions
    • Configure your IDEs and SDKs to support a development environment
    • Demonstrate accessing AWS services using SDKs and AWS Cloud9

    Lab 1: Configure the Developer Environment
    • Connect to a developer environment
    • Verify that the IDE and the AWS CLI are installed and configured to use the application
    • Verify that the necessary permissions have been granted to run AWS CLI commands
    • Assign an AWS IAM policy to a role to delete an Amazon S3 bucket

    Module 5: Getting Started with Storage
    • Describe the basic concepts of Amazon S3
    • List the options for securing data using Amazon S3
    • Define SDK dependencies for your code
    • Explain how to connect to the Amazon S3 service
    • Describe request and response objects

    Module 6: Processing Your Storage Operations
    • Perform key bucket and object operations
    • Explain how to handle multiple and large objects
    • Create and configure an Amazon S3 bucket to host a static website
    • Grant temporary access to your objects
    • Demonstrate performing Amazon S3 operations using SDKs

    Lab 2: Develop Solutions Using Amazon S3
    • Interact with Amazon S3 programmatically using AWS SDKs and the AWS CLI
    • Create a bucket using waiters and verify service exceptions codes
    • Build the needed requests to upload an Amazon S3 object with metadata attached
    • Build requests to download an object from the bucket, process data, and upload the
    object back to the bucket
    • Configure a bucket to host the website and sync the source files using the AWS CLI
    • Add IAM bucket policies to access the S3 website.

  • Module 7: Getting Started with Databases
    • Describe the key components of DynamoDB
    • Explain how to connect to DynamoDB
    • Describe how to build a request object
    • Explain how to read a response object
    • List the most common troubleshooting exceptions

    Module 8: Processing Your Database Operations
    • Develop programs to interact with DynamoDB using AWS SDKs
    • Perform CRUD operations to access tables, indexes, and data
    • Describe developer best practices when accessing DynamoDB
    • Review caching options for DynamoDB to improve performance
    • Perform DynamoDB operations using SDK

    Lab 3: Develop Solutions Using Amazon DynamoDB
    • Interact with Amazon DynamoDB programmatically using low-level, document, and highlevel APIs in your programs
    • Retrieve items from a table using key attributes, filters, expressions, and paginations
    • Load a table by reading JSON objects from a file
    • Search items from a table based on key attributes, filters, expressions, and paginations
    • Update items by adding new attributes and changing data conditionally
    • Access DynamoDB data using PartiQL and object-persistence models where applicable

    Module 9: Processing Your Application Logic
    • Develop a Lambda function using SDKs
    • Configure triggers and permissions for Lambda functions
    • Test, deploy, and monitor Lambda functions

    Lab 4: Develop Solutions Using AWS Lambda Functions
    • Create AWS Lambda functions and interact programmatically using AWS SDKs and AWS
    • Configure AWS Lambda functions to use the environment variables and to integrate with
    other services
    • Generate Amazon S3 pre-signed URLs using AWS SDKs and verify the access to bucket
    • Deploy the AWS Lambda functions with .zip file archives through your IDE and test as
    • Invoke AWS Lambda functions using the AWS Console and AWS CLI

    Module 10: Managing the APIs
    • Describe the key components of API Gateway
    • Develop API Gateway resources to integrate with AWS services
    • Configure API request and response calls for your application endpoints
    • Test API resources and deploy your application API endpoint
    • Demonstrate creating API Gateway resources to interact with your application APIs

    Lab 5: Develop Solutions Using Amazon API Gateway
    • Create RESTful API Gateway resources and configure CORS for your application
    • Integrate API methods with AWS Lambda functions to process application data
    • Configure mapping templates to transform the pass-through data during method
    • Create a request model for API methods to ensure that the pass-through data format
    complies with application rules
    • Deploy the API Gateway to a stage and validate the results using the API endpoint


  • Module 11: Building a Modern Application
    • Describe the challenges with traditional architectures
    • Describe the microservice architecture and benefits
    • Explain various approaches for designing microservice applications
    • Explain steps involved in decoupling monolithic applications
    • Demonstrate the orchestration of Lambda Functions using AWS Step Functions

    Module 12: Granting Access to Your Application Users
    • Analyze the evolution of security protocols
    • Explore the authentication process using Amazon Cognito
    • Manage user access and authorize serverless APIs
    • Observe best practices for implementing Amazon Cognito
    • Demonstrate the integration of Amazon Cognito and review JWT tokens

    Lab 6: Capstone – Complete the Application Build
    • Create a Userpool and an Application Client for your web application using
    • Add new users and confirm their ability to sign-in using the Amazon Cognito CLI
    • Configure API Gateway methods to use Amazon Cognito as an authorizer
    • Verify JWT authentication tokens are generated during API Gateway calls
    • Develop API Gateway resources rapidly using a Swagger importing strategy
    • Set up your web application frontend to use Amazon Cognito and API Gateway
    configurations and verify the entire application functionality

    Module 13: Deploying Your Application
    • Identify risks associated with traditional software development practices
    • Understand DevOps methodology
    • Configure an AWS SAM template to deploy a serverless application
    • Describe various application deployment strategies
    • Demonstrate deploying a serverless application using AWS SAM

    Module 14: Observing Your Application
    • Differentiate between monitoring and observability
    • Evaluate why observability is necessary in modern development and key components
    • Understand CloudWatch’s part in configuring the observability
    • Demonstrate using CloudWatch Application Insights to monitor applications
    • Demonstrate using X-Ray to debug your applications

    Lab 7: Observe the Application Using AWS X-Ray
    • Instrument your application code to use AWS X-Ray capabilities
    • Enable your application deployment package to generate logs
    • Understand the key components of an AWS SAM template and deploy your application
    • Create AWS X-Ray service maps to observe end-to-end processing behavior of your application
    • Analyze and debug application issues using AWS X-Ray traces and annotations

    Module 15: Course Wrap-up
    • Course overview
    • AWS training courses
    • Certifications
    • Course feedback

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