Most AI-agent courses go one of two ways: breathless hype about autonomous digital workers, or deep developer tutorials that assume you already code. This course is neither. I have spent nineteen years on warehouse floors, in automation projects, and as a business analyst across dozens of industries — and over the last year, the tools I reach for every day have changed completely. Not abstract multi-agent frameworks. The practical, hands-on toolkit that is quietly becoming a real job skill: prompting well, using GitHub Copilot’s agent and planning modes for far more than code, connecting an AI agent to your real files and systems with MCP (Model Context Protocol), running Claude Code at the terminal as a personal automation agent, and chaining it all together with no-code tools like n8n.
This is a complete, twenty-hour course that teaches that exact toolkit in the order you would actually learn it on the job. We start with prompt engineering fundamentals and how tokens and context windows really work, because every tool after that depends on getting this right. Then we go deep and hands-on: GitHub Copilot beyond code, MCP servers connecting agents to your own data, Claude Code running real multi-step tasks at the terminal, designing your own custom agents, and n8n wiring everything into automated pipelines.
