A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.
Unlock the power of AI-assisted coding with GitHub Copilot and transform your development workflow. This course guides you through intelligent code completion, agent modes, and advanced prompt strategies, helping you write efficient, error-free code faster. You will gain hands-on experience in setting up Copilot, mastering instruction files, and integrating AI into real-world projects to enhance productivity and quality. Starting with foundational AI concepts, terminology, and the types of AI assistants, you will then explore Copilot’s features in depth. Lessons cover setup, inline suggestions, chat sessions, plan and edit modes, and practical use of the simple browser, checkpoints, and BROK (Bring Your Own Key) for customized AI access. Step-by-step exercises ensure you can implement these features confidently in your coding workflow. The course progresses into advanced instruction management, project setup in agent mode, smart actions, and prompt files. You’ll also learn to create custom agents for documentation, code review, and accessibility, while understanding agent skills, cloud and background agents, and integrating Model Context Protocol (MCP) with Supabase for secure, contextual AI interactions. Finally, you will explore best practices for AI code security and workflow optimization. Ideal for developers, software engineers, and tech enthusiasts aiming to leverage AI in coding, this course assumes basic familiarity with programming and Git. Whether you’re a professional seeking efficiency or a learner exploring AI-assisted development, the course offers structured guidance, practical exercises, and advanced strategies suitable for intermediate-level learners. By the end of the course, you will be able to confidently configure GitHub Copilot, create and manage custom AI agents, implement AI-powered workflows, and apply security best practices for AI-assisted software development.
