I've been working on a learning platform to address a problem I've experienced while exploring AI development: there are plenty of tutorials, documentation pages, and individual courses, but figuring out what to learn first, how the pieces connect, and what to build next can be overwhelming.
I'm organizing a curriculum that starts with programming fundamentals and progresses through APIs, databases, machine learning, LLMs, RAG, tool calling, LangChain, LangGraph, MCP, fine-tuning, n8n, and multi-agent systems. The platform is being designed around 3,200+ practice exercises, hundreds of practice projects, interview questions, and portfolio projects, with a path from beginner concepts to advanced topics.
One thing I'm trying to get right is the progression: learners shouldn't just recognize terminology; they should be able to apply concepts and build things independently.
