A comprehensive new GitHub course, AI Engineering from Scratch, promises to take learners from the fundamentals of linear algebra all the way to building autonomous agent swarms. The free resource, published by the user @ziobuddalabs via YouTube Shorts, is designed for hands-on AI development.
Key highlights of the course:
- 283 lessons organized into 20 phases, totaling approximately 320 hours of content.
- Every lesson includes a real prompt, skill, agent, or MCP server to work with.
- The curriculum is AI-native: learners use Claude Code as they progress.
- The end result is a working toolkit, not just a certificate.
To access the course, visit: github.com/rohitg00/ai-engineering-from-scratch