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• date: 4 March 2026
• posted by: 0nelove

Learn AI-Powered Coding, DevOps Automation, Prompt Engineering & Real-World Amazon Q Implementation
What you'll learn
✓ Understand the fundamentals of Amazon Q and its core offerings for developer productivity.
✓ Set up and integrate Amazon Q across Command Line Interfaces (CLI) and Integrated Development Environments (IDE).
✓ Build, enhance, and refactor Python applications using AI-driven assistance.
✓ Generate high-quality unit tests and comprehensive documentation for existing codebases.
✓ Apply Amazon Q in DevOps workflows, specifically utilizing Terraform & Ansible for Infrastructure as Code (IaC).
✓ Understand prompt engineering techniques to improve code accuracy and reduce AI hallucinations.
✓ Evaluate best practices for responsible AI usage, security, and professional integration.
Requirements
● No prior experience needed
● Basic Linux familiarity is helpful
● Basic familiarity with Python and general software development
● AWS Free Tier account and a preferred IDE (like VS Code or IntelliJ)
● Basic understanding of DevOps - IaC
Description
What's in this course?
Amazon Q Developer is AWS's AI-powered coding assistant designed to accelerate every stage of the software development lifecycle - from writing and refactoring code to testing, documentation, infrastructure automation, and troubleshooting. However, using an AI assistant effectively requires more than simply installing a plugin. It demands an understanding of the broader AI ecosystem, the ability to write clear and effective prompts, and the discipline to validate outputs responsibly before integrating them into real-world engineering workflows.
This course is a practical, step-by-step journey to understand Amazon Q Developer, specifically designed for absolute beginners who want structured guidance and hands-on experience. Through real demonstrations and implementation-focused learning, you will build applications, enhance codebases, generate tests and documentation, and apply best practices - gaining the confidence to use Amazon Q as a true productivity multiplier in your daily development work.
Special Note
This course is highly practical, packed with hands-on demonstrations and troubleshooting scenarios. You won't just learn how how agentic solutions work - you will build applications, generate and optimize infrastructure code, and deploy solutions in real-world environments.
Course Structure
• Concept-based lectures
• Hands-on demonstrations
• Practical Scenarios & Troubleshooting
Course Contents
• Fundamentals of Agentic AI
• Introduction to Amazon Q Developer
• Environment Setup and Installation
• Understanding Amazon Q Chat
• Amazon Q Developer for Python Based Application (Linux Environment)
• Amazon Q Developer for Python Based Application (with VS Code)
• Using Amazon Q with Existing Codebases
• Creating Unit tests for Applications
• Writing Detailed Project Documentation with Amazon
• Amazon Q for DevOps and Infrastructure as Code (Terraform and Ansible)
• Troubleshooting Tips
• Best Practices & Prompt Engineering for Developers
By the end of this course, you will confidently integrate Amazon Q Developer into your daily workflow — not just as a chatbot, but as a professional force multiplier.
Who this course is for
■ Developers looking to accelerate their coding speed and efficiency with AI.
■ DevOps/Cloud/SRE Engineers wanting to integrate AI into infrastructure workflows.
■ Students and Learners who want a practical, demo-driven introduction to AWS generative AI tools.



   
   
   

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