Advanced
AI Agents (Advanced)
An advanced track on agents: tool use, planning, multi-agent systems, MCP, evaluation and failures. For those who have already tried it and want to get it to production.
14 hours3 courses~2 weeks
Courses in track
Follow them in order — the sequence is intentional. You can also go non-linearly if you know what you're doing.
01AI Agents fundamentals
IntermediateAn introduction to AI agents: tool use, planning, retry, quality evaluation, and where they break.
02MCP, tools, and integrations
IntermediateA course on MCP — the standard for connecting tools and context to an LLM. What it is, how to use it, what to build yourself.
03AI Coding: Claude Code, Codex, Cursor, Windsurf
IntermediateA course on AI coding tools. Not "vibe coding" but an engineering approach: where they pay off and how to avoid drifting into overengineering.
What you'll be able to do
Specific skills and scenarios you'll have after completing the track.
01Write prompts confidently and get predictable results
02Choose the right model for each task instead of using one for everything
03Recognize where AI genuinely helps versus where it slows you down
04Build working workflows with minimal automation overhead
05Understand LLM limitations and avoid brittle system design
06Integrate AI into daily work without resistance or chaos
Good fit
- You are senior engineers, ai engineers, r&d
- Ready to spend ~30 minutes a day
- Want concrete skills, not just a market overview
Not a fit
- If you're looking for 'make money with ChatGPT in 7 days'
- If you want ready-made answers without practice
- If you're just starting out — begin with the Beginner track