Resources
A collection of free resources I’ve put together from years of building, teaching, and working with AI systems, from foundational concepts to production AI and interview preparation.
Last updated
Digital handbookMaven
The AI Builder’s Handbook
A free guide to building AI products, covering LLM fundamentals, AI agents, evaluation, and production AI systems, with a learning path and resources we trust. Kiriti Badam (Applied AI at OpenAI Codex) and I draw on our experience at Google, AWS, Microsoft, and OpenAI.
Open-source guideGitHub
Awesome Generative AI Guide
A learning repository I built for people who want to learn, build, and keep up with generative AI. It includes structured learning paths, free courses, research updates, hands-on notebooks, and interview preparation.
Free courseGitHub + YouTube
AI Evals for Everyone
A beginner-friendly, no-prerequisites course on AI evals. Learn to build reference datasets, design evaluation metrics and LLM judges, monitor production systems, and create a continuous evaluation process. Available as 10 written chapters or a video series; 15,000+ learners certified.
Free live sessionsMaven
Lightning Lessons
We host short, free sessions on current AI topics, including AI agents, LLM evals, context engineering, and building production AI systems. We teach these ourselves or invite friends from our network. Past guests include builders and leaders from NVIDIA, Cursor, OpenAI, Arize AI, and Vapi.
Video channelYouTube
YouTube
I started my YouTube channel because too much AI content is shaped by hype. Each week, I teach beginners what I’ve learned from building AI systems, covering agents, agentic system design, design patterns, evals, and more. The videos build each topic from first principles and focus on what works in practice.
Video courseLinkedIn Learning
Agentic AI: Build Your First Agentic AI System
One of LinkedIn Learning’s most popular AI agent courses, completed by 85,000+ learners. I walk through an enterprise AI agent step by step, from choosing the right problem and building a baseline to tools, retrieval, memory, design trade-offs, guardrails, governance, and security.
Free courseGitHub
Agentic AI Crash Course
A ten-part course Kiriti Badam (Applied AI at OpenAI Codex) and I created to explain how agents work and when to use them. It covers agent architectures, tools, RAG, MCP, planning, memory, multi-agent systems, and real-world designs.
NewsletterSubstack
The Nuanced Perspective
My weekly writing on AI, building products, and careers, with contributions from Kiriti Badam (Applied AI at OpenAI Codex) and other people in our community. We publish practical explainers, research analysis, and lessons from building AI systems.