Amazon Q Developer for the absolute beginners | Hands-on , Learn AI-Powered Coding, DevOps Automation, Prompt Engineering & Real-World Amazon Q Implementation.
Course 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.
