GitHub Copilot Beginner to Pro - AI for Coding & Development

Aspiring developers and experienced software engineers alike are discovering the game-changing potential of AI-assisted coding through Tom Phillips' comprehensive guide, GitHub Copilot Beginner to Pro. This course provides a deep dive into the practical application of GitHub Copilot, moving far beyond simple autocomplete functions to explore advanced agentic coding methodologies. Students learn to master various specialized agent modes, including Plan, Agent, Ask, and Edit modes, alongside creating custom agents tailored to specific development pipelines. The curriculum covers cutting-edge technologies like the Model Context Protocol (MCP), enabling seamless integration between AI models and local development environments. By exploring agent orchestration with local, cloud, background, and sub-agents, learners gain the skills needed to automate complex workflows, generate robust unit tests, and construct precise commit messages. Additionally, the course demystifies the GitHub Copilot CLI and teaches how to craft custom slash commands, agent instructions, and agent skills. Ultimately, this course empowers developers to turbocharge their coding productivity, streamline debugging processes, and future-proof their software engineering careers in an AI-driven landscape.