Search across educators, skills, and resources.

Josh Pigford

Initial Commit · Beginner to intermediate

Founder workflows, Product ops, Automation

Brian Casel

Builder Methods · Beginner to intermediate

Founder workflows, Systems, Automation

Peter Yang

Become an AI Powered Product Leader · Intermediate

Product strategy, Writing, AI adoption

Lenny Rachitsky

How I AI · Beginner to intermediate

Product, Growth, Team adoption

Ethan Mollick

One Useful Thing · Beginner to advanced

AI literacy, Workplace adoption, Strategy

Swyx

AI Engineer · Intermediate to advanced

AI engineering, Agents, Developer tools

Andrew Ng

DeepLearning.AI Short Courses · Beginner to advanced

Prompting, Agents, RAG, ML foundations

Jeremy Howard

fast.ai · Intermediate

Deep learning, PyTorch, Model training

Rachel Thomas

fast.ai · Beginner to intermediate

Practical ML, Ethics, Education

Andrej Karpathy

Neural Networks: Zero to Hero · Intermediate

Neural networks, Backprop, LLM internals

Simon Willison

Simon Willison on LLMs · Beginner to advanced

LLM tools, Prompting, AI safety, Local models

Jason Liu

Instructor · Intermediate

Structured outputs, Extraction, RAG

Hamel Husain

Hamel's AI evals guides · Intermediate to advanced

Evals, RAG, LLM product quality

Shreya Shankar

AI Evals for Engineers and PMs · Intermediate

Evals, LLM reliability, Product quality

Chip Huyen

AI Engineering · Intermediate to advanced

AI engineering, Systems, Production ML

Sander Schulhoff

Learn Prompting · Beginner to intermediate

Prompting, AI literacy, Security

Elvis Saravia

DAIR.AI Prompt Engineering Guide · Beginner to advanced

Prompting, RAG, Reasoning, Agents

Eugene Yan

Eugene Yan · Intermediate to advanced

Applied ML, Recommenders, LLM systems

Nathan Lambert

RLHF Book · Advanced

RLHF, Post-training, Alignment

Sebastian Raschka

Build a Large Language Model From Scratch · Intermediate

LLM internals, PyTorch, Model training

Jay Alammar

The Illustrated Transformer · Beginner to intermediate

Transformers, Embeddings, LLM concepts

Lilian Weng

Lilian Weng's AI posts · Advanced

Agents, RAG, ML research

Addy Osmani

AI Engineering resources · Beginner to intermediate

AI coding, Engineering workflows, Frontend

Latent Space

Latent Space · Intermediate to advanced

AI engineering, Industry context, Model ecosystem

Cohere For AI

Cohere For AI · Advanced

NLP research, Open models, Multilingual AI

Full Stack Deep Learning

Full Stack Deep Learning · Intermediate to advanced

MLOps, Deployment, Product ML

AI foundations

Everyone

What LLMs can and cannot do; Tokens, context windows, hallucinations; Privacy and data handling

Prompting and writing

Writers, operators, PMs, founders

Clear task framing; Examples and constraints; Editing, synthesis, and critique loops

Automation and agents

Founders, operations teams, developers

Trigger-based workflows; Tool calling; Agent failure modes; Human review points

AI product work

PMs, designers, founders

AI UX patterns; Use-case selection; Prototyping; Measuring quality

Coding with AI

Software developers

Codebase navigation; Test generation; Refactoring; Reviewing AI output

RAG and knowledge systems

Developers building AI apps

Chunking and retrieval; Structured extraction; Reranking; Grounded answers

Evals and reliability

AI product teams

Test sets; Human review; Regression checks; Quality metrics

Model internals

Engineers who want deeper understanding

Neural nets from scratch; Transformers; Training loops; Fine-tuning basics

Production AI engineering

Engineering teams

Observability; Cost and latency; Deployment; Data pipelines

Strategy and adoption

Leaders, managers, founders

Team habits; Org workflows; Policy; Change management

Neural Networks: Zero to Hero

Video course · Andrej Karpathy · Intermediate

You want to understand neural networks and language models from code.

Practical Deep Learning for Coders

Free course · fast.ai · Intermediate

You can code and want a practical route into training models.

ChatGPT Prompt Engineering for Developers

Short course · DeepLearning.AI · Beginner

You want a short, structured intro to prompting for software tasks.

OpenAI Cookbook

GitHub repo · OpenAI · Beginner to advanced

You need implementation examples rather than theory.

Microsoft AI Agents for Beginners

GitHub repo · Microsoft · Beginner to intermediate

You want a structured agent learning path with code.

Build a Large Language Model From Scratch

GitHub repo / book · Sebastian Raschka · Intermediate

You want to build an LLM step by step.

The Illustrated Transformer

Visual guide · Jay Alammar · Beginner to intermediate

Transformer architecture still feels fuzzy.

Learn Prompting

Guide · Sander Schulhoff · Beginner to intermediate

You need a broad prompt engineering reference.

Prompt Engineering Guide

Guide · DAIR.AI · Beginner to advanced

You want examples of prompting techniques and patterns.

AI Engineering

Book · Chip Huyen · Intermediate to advanced

You are moving from demos to production systems.

LLM Evals

Guide · Hamel Husain · Intermediate

Your AI app needs quality checks before users see it.

RLHF Book

Book · Nathan Lambert · Advanced

You want to understand post-training and preference optimization.