[A Cloud Guru] Automating AWS with Python


This course is a project-based approach to learning to automate AWS with Python.



Hello Cloud Gurus,

In this course, you’ll learn techniques and strategies for automating AWS with Python:

  • Command line scripts
  • Lambda functions
  • Authentication and permissions
  • Creating and managing cloud resources
  • Reporting and metrics
  • Integrating with third party services
  • Image processing

We’ll do this through three real-world example projects:

  1. Publish a local website to the internet with a single command
  2. Notify your Slack team when the size of your EC2 instance fleet autoscales up and down
  3. Detect objects and people in a video, and save the results in a database.

This course is designed for beginner to intermediate students who already know some basic Python and what want to get better at Python and improve their understanding of AWS. It’s also for people who are using AWS professionally, but not yet using automation extensively. This course will help you understand how to automate AWS, use the boto3 library to manage AWS resources, coordinate processes and workflows, package and deploy code.


  • Access to the course
  • Access to the course discussion forums


  • Create Python commandline scripts and lambda functions
  • Use the boto3 library to manage AWS resources
  • Integrate your AWS infrastructure with third party services and APIs
  • Use services and libraries to do more with less code
  • Package and deploy your code so that it can be shared and re-used
  • How to schedule and trigger your automation based on time and events
  • Process and sanitize data
  • Coordinate multi-step processes and workflows
  • Set up and deploy machine-learning pipelines


  • Anyone who wants to automate parts of their job managing AWS.
  • Operations people


  • Mac or Windows PC
  • AWS account or credit card to sign up


Robin Norwood

I am a product manager, developer, and leader with over 15 years of experience building products and services for some of the world’s greatest technology companies, including Rackspace and Red Hat.


Size: 2.11GB



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