Developing on AWS

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• 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.

Intended audience
This course is intended for:

• Intermediate-level software developers.

Prerequisites:
We recommend that attendees of this course have:

• In-depth knowledge of at least one high-level programming language.
• Working knowledge of core AWS services and public cloud implementation.

• 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.