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In this module, we will walk through the step-by-step setup of the AWS SAM development environment, ensuring you have the necessary tools installed, configured, and ready for serverless development. From AWS CLI setup to integrating VS Code with AWS Toolkit, you'll be fully prepared to start building AWS Lambda functions.

In this module, we will explore AWS SAM in detail, starting with its fundamentals and progressing to building, deploying, and testing a complete serverless application. You'll gain hands-on experience invoking Lambda functions and managing AWS Cloud resources.

In this module, we will leverage the AWS Toolkit for VS Code to streamline serverless application development. You鈥檒l learn how to create, deploy, and debug AWS SAM applications directly within your IDE, enhancing your workflow and efficiency.

In this module, we will take a deep dive into AWS SAM specifications, exploring YAML templates, function configurations, and AWS IAM roles. You鈥檒l gain an in-depth understanding of managing serverless applications effectively.

In this module, we will dissect AWS SAM templates to understand their components and functionality. You鈥檒l learn how to define serverless applications efficiently using AWS SAM鈥檚 declarative syntax.

In this module, we will introduce AWS Step Functions and their role in orchestrating serverless workflows. You鈥檒l build and configure state machines while understanding how they interact with AWS Lambda functions.

In this module, we will extend our knowledge of AWS Step Functions by utilizing VS Code and the AWS Toolkit. You鈥檒l learn to create, configure, and update state machines efficiently within your development environment.

In this module, we will build a real-world S3 Thumbnail Service, demonstrating the power of AWS Lambda, DynamoDB, and API Gateway. You鈥檒l work through hands-on implementations, covering security, debugging, and deployment.

In this module, we will build a RESTful API using Python, focusing on implementing CRUD operations, testing the endpoints, and deploying the service. You'll gain hands-on experience in API development using AWS Lambda.

In this module, we will develop a Todo REST API using NodeJS and AWS Lambda. You鈥檒l walk through creating, updating, and deleting tasks while ensuring the API is secure and efficient.

In this module, we will build an email-sending service using AWS SES, API Gateway, and Lambda. You鈥檒l gain hands-on experience in configuring and testing email automation.

In this module, we will explore AWS Rekognition for face detection and recognition. You鈥檒l build a face recognition system using Python and test it against real-world images.

In this module, we will integrate Amazon Comprehend with a scheduled news service. You鈥檒l learn how to analyze text and automate news delivery using AWS Lambda.

In this final module, we will recap the skills acquired throughout the course and discuss potential next steps for further mastering AWS SAM, Lambda, and serverless development.