Run real notebooks without leaving AgenticWorks.
Start with NeuralNet Fundamentals, a 10-part path from matrices to a complete neural network. The lessons are static, CDN-friendly, and backed by an in-browser Python kernel.
Tracks
Live curriculum first, future tracks visible as the roadmap fills in.
Live
Track 1 · ML foundations
NeuralNet Fundamentals
Build neural networks from matrices to a complete classifier, all in the browser.
10 lessons
Authoring
Track 2 · Authoring
Agentic Systems
Planner, worker, critic, tools, memory, eval, and observability.
Future lessons
Authoring
Track 3 · Authoring
Context RAG
PDFs, tables, hybrid retrieval, rerankers, and grounded answers.
Future lessons