Overview
In this 3-hour course, learn how to use GitHub Copilot and AI coding assistants to accelerate software development through prompt-driven workflows, agent modes, and automation. Explore practical techniques for configuring Copilot, building custom agents, integrating MCP with Supabase, and applying secure AI-powered coding practices.
What I will be able to do after this course
- Configure and set up GitHub Copilot for AI-assisted development workflows <.li>Apply prompt engineering techniques to generate accurate code suggestions
- Create custom AI agents for documentation, code review, and accessibility checks
- Implement MCP integrations with Supabase for context-aware development
- Apply security practices such as key management and dependency monitoring
Course Instructor(s)
An experienced software developer and AI practitioner specializing in modern development workflows and AI-assisted coding tools. The instructor focuses on practical, hands-on teaching methods that help developers integrate AI assistants into real-world projects. Their training emphasizes productivity, automation, and secure development practices.
Who is it for?
This course is designed for software developers, backend developers, and programmers interested in AI-assisted development. It is suitable for professionals who want to improve productivity using GitHub Copilot, prompts, and agent-based workflows. Basic programming knowledge and familiarity with Git will help learners follow the demonstrations.
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