Learning Platform
From AI foundations to production systems.
Five structured tracks — each a focused sub-topic with its own courses, prerequisites, and clear outcomes. Grounded in academic rigour, built for practical application.
Want one runnable thing in under an hour instead? Try a hands-on lab.
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All courses & roadmap →AI Agents — From Basics to Multi-Agent Systems
Build AI agents from scratch — single-agent patterns, multi-agent pipelines, memory, observability with Langfuse, and a complete hands-on project. Covers LangGraph, CrewAI, AutoGen, and Agno with real code examples.
Applied AIMCP for Practical Builders
Learn Model Context Protocol from scratch — how it works, how to build servers in Python, and how to give AI assistants safe access to your files, databases, and APIs. Ends with a complete hands-on project.
Applied AIRAG in Production
Start from 'what is RAG and why' and go all the way to a retrieval system you can trust in production — ingestion, chunking, retrieval quality, grounding, evaluation, and the hard edge cases (stale data, access control, prompt injection, cost). With interactive playgrounds to make it click.
Applied AIAI Foundations
From the maths under machine learning to running agents in production — the whole journey, in order.
Data Engineering
The infrastructure that makes AI work at scale.
Needs: ai-foundations
Applied AI
LLMs, agents, semantic search — built for production.
Needs: ai-foundations
Cloud & APIs
How modern software is built and connected. The foundation under every app and AI system.
Personal AI OS
The capstone. Build the system that builds everything else — a mind of your own that works while you sleep.
Needs: applied-ai
How it all connects
Not a pile of topics — a path. Foundations feed the applied work, and it all comes together in the capstone. You can enter at any stage; hover a track to see what it needs and what it unlocks.
Build deeper
Apply foundations to real data and systems
Hover a track to trace the path it needs — and the ones it unlocks.
Topics covered
How this platform was built
These courses are written from real experience — not assembled from documentation. The AI Foundations track draws from academic research including an MSc in AI at Munster Technological University. The Applied AI and Personal AI OS tracks document systems built and running in practice. Nothing is invented; everything is tested.
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