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CLI Automation with Amazon Q and CloudShell

This course is part of AI Tooling Specialization

Instructors: Alfredo Deza

Included with

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3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

3 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Use Amazon Q as an AI-powered CLI assistant in CloudShell with ZSH inline completion, and run Docker containers directly in CloudShell
Deploy Lambda functions with AWS CDK and Amazon Q assistance, from bootstrap to stack deployment with AI-generated configurations
Build Docker-to-ECR container pipelines from CloudShell, including image tagging, ECR authentication, and Rust development workflows

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

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Build your subject-matter expertise

This course is part of the AI Tooling Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 3 modules in this course

Learn to automate AWS development workflows using Amazon Q and CloudShell for container deployment, infrastructure as code, and Rust development. You will explore Amazon Q as an AI-powered CLI assistant with inline completion in CloudShell's ZSH environment, generating commands for AWS resource management. The course covers Docker integration in CloudShell as a stealth feature, running containers directly in the browser-based shell with pre-installed Docker, checking available CPUs and memory, and building container workflows from pull to run. You will automate Docker build, tag, and push operations from CloudShell to Amazon ECR, including ECR authentication and image registry management. The CDK module demonstrates deploying Lambda functions with Amazon Q assistance, from CDK bootstrap through stack deployment, using Q chat to generate infrastructure as code configurations. You will develop Rust applications in CloudShell with Amazon Q inline completion in ZSH, exploring AI-powered code generation and debugging directly in the terminal. The course also covers the Docker-to-ECR architecture for production container deployments, building complete pipelines from CloudShell build to ECR push to Lambda deployment. By completing this course, you will be able to automate AWS workflows with Amazon Q in CloudShell, deploy containers to ECR, and build CDK infrastructure with AI assistance.