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 NoteThis 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 lecturesHands-on demonstrationsPractical Scenarios & TroubleshootingCourse Contents:Fundamentals of Agentic AIIntroduction to Amazon Q DeveloperEnvironment Setup and InstallationUnderstanding Amazon Q ChatAmazon Q Developer for Python Based Application (Linux Environment)Amazon Q Developer for Python Based Application (with VS Code)
What you'll learn
understanding of AI coding assistants
ability to effectively use Amazon Q Developer
skills in writing effective code prompts
experience with hands-on implementation of applications
knowledge in generating tests and documentation
Course objectives
to provide a step-by-step understanding of Amazon Q Developer
to enhance practical coding skills using an AI assistant
to instill best practices in software development with AI integration