Learn AI properly, step by step
10 courses are written and ready today, with 54 lessons between them. The rest of the catalogue below is the roadmap — listed openly so you can see what is coming rather than finding empty pages.
This is Pip. He shows up through the courses — cheering when you finish a lesson, and asleep beside anything that has not been written yet.
10
Ready now
54
Lessons written
119
In the catalogue
Academies and categories— show
Academy
Category
6 courses
LangChain and LangGraph
Composing multi-step AI systems that you can debug.
Not written yet — this is on the roadmap.
Model Context Protocol
Connecting assistants to tools and data through a shared protocol.
Not written yet — this is on the roadmap.
Multi-Agent Systems
When several agents beat one, and when they just cost more.
Not written yet — this is on the roadmap.
Retrieval-Augmented Generation
Ground answers in your own documents instead of the model’s memory.
Not written yet — this is on the roadmap.
Vector Databases and Embeddings
How retrieval actually finds the right passage.
Not written yet — this is on the roadmap.
Web Data for AI Workflows
Firecrawl, Exa and Tavily for getting the web into your tools.
Not written yet — this is on the roadmap.
Courses are free and need no account. Your progress is saved in this browser, so it will not follow you to another device. Certificates confirm you completed the lessons and passed their checks — they are not an accredited qualification.
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