AWS : Development on Amazon Web Services

• Configure the AWS SDK and authentication information for Java, C#/.Net, Python, and JavaScript. 
• Use the AWS SDK to interact with AWS services and develop solutions. 
• Use AWS Identity and Access Management (IAM) to manage service authentication. 
• Use Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB as data stores. 
• Integrate applications and data with 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 to manage user authentication. 
• Use Amazon ElastiCache to improve application scalability. 
• Use containers in the application development process. 
• Implement a continuous integration and continuous deployment (CI/CD) pipeline to deploy applications on AWS.

Chapter 1: Developing a Web Application on AWS

• Introduction: Discuss the architecture of the application to be built.
• Exploring Services: Identify the AWS services needed to create, store, manage, and host the web application.

Chapter 2: Development on AWS

• Programmable Access: Description of methods to access AWS services programmatically.
• Programmatic Models: Efficiency gains with AWS SDKs and CLI.
• AWS Cloud9: Added value and usage.

Chapter 3: Managing Permissions

• AWS IAM: Features and permissions to support a development environment.
• Configuration and Testing: Setting up IDEs, SDKs, and testing permissions.
• Workshop: Setting up the development environment.

Chapter 4: Managing Storage with Amazon S3

• Basic Concepts: Introduction to Amazon S3 and data security options.
• Connections and Requests: Interaction with Amazon S3 via SDK and CLI.
• Workshop: Developing solutions with Amazon S3.

Chapter 5: Manipulating Stored Data

• Key Operations: Manipulating Amazon S3 objects and buckets.
• Static Web Hosting: Configuration and temporary access to objects.
• Workshop: Storage solutions with Amazon S3.

Chapter 6: Introduction to Databases with DynamoDB

• Key Components: Introduction to DynamoDB and connection.
• Queries and Responses: Creating and reading query and response objects.
• Troubleshooting: Managing common exceptions.

Chapter 7: Managing Data with DynamoDB

• CRUD Operations: Developing programs to interact with DynamoDB.
• Development Practices: Best practices and caching options.
• Workshop: Solutions with Amazon DynamoDB.

Chapter 8: Processing Application Logic

• Lambda Functions: Development, trigger configuration, and permissions.
• Testing and Deployment: Deploying and monitoring Lambda functions.
• Workshop: Development with AWS Lambda functions.

Chapter 9: Managing APIs

• API Gateway: Key components and integration with AWS services.
• Configuring Calls: Developing and deploying APIs.
• Workshop: Solutions with Amazon API Gateway.

Chapter 10: Designing Modern Applications

• Microservices: Challenges of traditional architectures and benefits of microservices.
• Decoupling: Steps to decouple monolithic applications.
• Orchestration: Using AWS Step Functions.

Chapter 11: Managing User Access

• Authentication: Process with Amazon Cognito.
• Access Management: Best practices and integration with API Gateway.
• Workshop: Completing the application build.

Chapter 12: Deploying the Application

• Deployment Strategies: Identifying risks and understanding DevOps methodology.
• AWS SAM: Configuration and demonstration of serverless deployment.

Chapter 13: Observing and Monitoring the Application

• Observability: Importance and key components.
• CloudWatch and X-Ray: Using them to monitor and debug applications.
• Workshop: Observing the application with AWS X-Ray.