This hands-on course is a deep dive into responsible and controlled software development with GitHub Copilot. It is designed for experienced developers and team leads who want to move from traditional development workflows to AI-assisted development without losing engineering discipline, code quality, security, or human control.
The AI world is moving very fast, and new tools appear all the time. This creates a big opportunity, but also real risk. Teams need to use AI wisely, stay in control of the code, and make sure developers do not lose their skills. This course was created to help teams do exactly that.
Participants will learn in simple practical terms how large language models work, what limits they still have, and how GitHub Copilot adds tools, agents, context, and customization on top of the model. The course keeps a strong focus on one main idea: the developer must remain the pilot, while Copilot works as an assistant and not as a replacement for engineering judgment.
The course covers both daily work and advanced customization. Participants will use Copilot features such as inline completions, chat, and agent workflows, and will learn how to configure models, tools, prompts, instructions, skills, custom agents, hooks, MCP servers, and plugin-based packaging. Throughout the course, practical exercises and guided discussions help teams adopt AI in a controlled, maintainable, and collaborative way.
