Advanced AWS Lambda Training Course

Course Code



14 hours (usually 2 days including breaks)


  • Programming experience with any of these languages: Python, Node.Js, C#, Go, Ruby, Power Shell.
  • Previous experience writing AWS Lambda functions.


  • Developers


AWS Lambda is a compute service that allows developers to write and run code without having to spin up containers and virtual machines, maintain storage, or procure the resources for running the code at scale. 

This instructor-led, live training (online or onsite) is aimed at developers who wish to integrate AWS Lambda functions with services such as API Gateway, Kinesis Streams, etc. The training also demonstrates how to use the browser-based AWS Cloud9 IDE to develop software collaboratively.

By the end of this training, participants will be able to:

  • Collaboratively develop applications and services using AWS Cloud9 IDE.
  • Integrate AWS Lambda functions with other AWS services.
  • Create and manage APIs.
  • Set up an AWS Lambda function to read and process real-time streaming data.
  • Create and manage a continuous integration pipeline for building, testing and deploying a AWS Lambda application.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.

Course Outline


Preparing the AWS Cloud9 Development Environment

Navigating the IDE

Creating a Lambda Function

Debugging the Function

Collaborating with Other Developers (collaborative development, pair programming, etc.)

Creating and Managing an API Using AWS API Gateway

Setting up Messaging Using Amazon SNS (Simple Notification Service )

Syncing Data to a Mobile Device Using AWS Cognito Sync

Collecting and Processing Real-time Streaming Data Using Amazon Kinesis Data Streams.

Creating and Managing a Continuous Integration Pipeline in AWS. 

Deploying AWS Lambda functions to Production


Summary and Conclusion



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