130+ free open-source tutorials on GenAI agents, RAG pipelines, and prompt engineering. Read 500,000+ times a month on GitHub.
Nir Diamant has made technical content with teams at
The course: Prompt to Production
Featured Open Source Tutorials
Open-source Jupyter notebooks covering the full GenAI development stack
Step-by-step notebook tutorials that cover ingestion, retrieval, memory, tool routing, guardrails, evaluation, observability, CI/CD, cost tracking, security, and cloud deployment for production-ready AI agents.
ExploreA 22-chapter notebook series that moves from prompt basics to advanced techniques with hands-on code examples and exercises drawn from the 170-page Prompt Engineering handbook.
ExploreMore than 30 tutorials demonstrating Retrieval-Augmented Generation methods, evaluation metrics, and best practices to build accurate and efficient RAG pipelines.
ExploreGuides and reference implementations for building chatbots, autonomous agents, and multi-agent workflows with memory and tool integrations.
ExploreThe YouTube Channel
Visual explainers on how AI actually works, one idea per episode, on the DiamantAI YouTube channel
![Thumbnail for the video AI Is Rewarded for Guessing [Hallucination]](https://i.ytimg.com/vi/AiyRZV38Lk0/sddefault.jpg)
Its own token probabilities show it guessing at the exact digit it invents, and nothing in the answer marks it.
The whole agent is a text file re-read in a loop, and it can trap itself.
What the agent loop is actually doing on every turn.
Recalling a fact and inventing one are literally the same move.
The shift from writing the code to shaping what the model sees.
Building the world's largest community of hands-on GenAI practitioners.
Books
Deep, visual guides that turn the repositories hundreds of thousands of engineers rely on into structured books you can actually learn from.
The Complete Visual Guide to Retrieval-Augmented Generation
Learn RAG through pictures, not code. 22 techniques explained with clean diagrams and plain language.
The Complete Visual Guide to Memory for AI Agents
Your agent forgets you exist. 30 techniques for memory that survives the session, taught in 184 diagrams and no code.
Master the Art of AI Interaction
Develop the intuition to get exactly what you need from AI. 22 chapters with runnable code and exercises.
Get all three books together, RAG Made Simple, Prompt Engineering from Zero to Hero and Agent Memory Made Simple, and save $48.
Partners
Partner with us to build content that puts your technology in front of the developers behind 500K+ monthly GitHub views.
We pick a use case for your tool that developers already care about.
I build an end-to-end, vendor-agnostic Jupyter tutorial that puts your tool to work on a real problem.
The tutorial is featured across GitHub (500K+ views a month), the newsletter, and Discord.
From teams Nir has made technical content with
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Meet the Founder
I'm Nir Diamant, an AI researcher, open-source educator, and community builder.
My 130+ tutorials help teams turn recent research into running code.
Currently building: DiamantAI Studio and the Prompt to Production course
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Tell me what you're building and what you need. I read every message and reply myself.
