Unlock the full potential of AWS Serverless development with this hands-on course on AWS SAM and Lambda. You'll learn how to build, deploy, and manage serverless applications efficiently while diving deep into AWS Step Functions, API Gateway, and other essential AWS services. By the end of this course, you'll have the skills to create scalable, cost-effective, and production-ready serverless solutions.



Mastering AWS SAM and Lambda - A Complete Hands-on Journey

Instructor: Packt - Course Instructors
Included with
Recommended experience
What you'll learn
Set up AWS SAM CLI, configure your environment, and deploy serverless applications
Build and debug AWS Lambda functions using VS Code and the AWS Toolkit
Develop real-world projects like an S3 thumbnail service and RESTful APIs
Integrate AWS Step Functions, Amazon Rekognition, and Amazon Comprehend in serverless applications
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April 2025
14 assignments
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There are 15 modules in this course
In this module, we will introduce the instructor and outline the course objectives, expected learning outcomes, and prerequisites. We will also cover critical updates, ensuring students get the most out of this course.
What's included
4 videos1 reading
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.
What's included
9 videos1 assignment
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.
What's included
7 videos1 assignment
In this module, we will leverage the AWS Toolkit for VS Code to streamline serverless application development. You’ll learn how to create, deploy, and debug AWS SAM applications directly within your IDE, enhancing your workflow and efficiency.
What's included
4 videos1 assignment
In this module, we will take a deep dive into AWS SAM specifications, exploring YAML templates, function configurations, and AWS IAM roles. You’ll gain an in-depth understanding of managing serverless applications effectively.
What's included
10 videos1 assignment
In this module, we will dissect AWS SAM templates to understand their components and functionality. You’ll learn how to define serverless applications efficiently using AWS SAM’s declarative syntax.
What's included
3 videos1 assignment
In this module, we will introduce AWS Step Functions and their role in orchestrating serverless workflows. You’ll build and configure state machines while understanding how they interact with AWS Lambda functions.
What's included
6 videos1 assignment
In this module, we will extend our knowledge of AWS Step Functions by utilizing VS Code and the AWS Toolkit. You’ll learn to create, configure, and update state machines efficiently within your development environment.
What's included
4 videos1 assignment
In this module, we will build a real-world S3 Thumbnail Service, demonstrating the power of AWS Lambda, DynamoDB, and API Gateway. You’ll work through hands-on implementations, covering security, debugging, and deployment.
What's included
13 videos1 assignment
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.
What's included
3 videos1 assignment
In this module, we will develop a Todo REST API using NodeJS and AWS Lambda. You’ll walk through creating, updating, and deleting tasks while ensuring the API is secure and efficient.
What's included
9 videos1 assignment
In this module, we will build an email-sending service using AWS SES, API Gateway, and Lambda. You’ll gain hands-on experience in configuring and testing email automation.
What's included
3 videos1 assignment
In this module, we will explore AWS Rekognition for face detection and recognition. You’ll build a face recognition system using Python and test it against real-world images.
What's included
1 video1 assignment
In this module, we will integrate Amazon Comprehend with a scheduled news service. You’ll learn how to analyze text and automate news delivery using AWS Lambda.
What's included
3 videos1 assignment
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.
What's included
1 video1 assignment
Instructor

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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
More questions
Financial aid available,