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 AWS CLI
• • 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 profile
• • 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.

Day 2

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 high[1]level 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 CLI
• • 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 objects
• • Deploy the AWS Lambda functions with .zip file archives through your IDE and test as needed
• • 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 integration
• • 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

Day 3

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