Search across educators, skills, and resources.

Josh Pigford

Initial Commit · Beginner to intermediate

Practical AI use for small businesses, product decisions, and repeatable operations.

Skills

Founder workflows, Product ops, Automation

Brian Casel

Builder Methods · Beginner to intermediate

Useful for turning AI experiments into repeatable internal workflows.

Skills

Founder workflows, Systems, Automation

Peter Yang

Become an AI Powered Product Leader · Intermediate

Clear product-focused teaching for using AI in planning, writing, and team workflows.

Skills

Product strategy, Writing, AI adoption

Lenny Rachitsky

How I AI · Beginner to intermediate

Good for seeing how operators and product leaders actually use AI at work.

Skills

Product, Growth, Team adoption

Ethan Mollick

One Useful Thing · Beginner to advanced

Strong practical judgment on what AI can do in real organizations.

Skills

AI literacy, Workplace adoption, Strategy

Swyx

AI Engineer · Intermediate to advanced

A useful hub for the emerging AI engineering stack and practitioner talks.

Skills

AI engineering, Agents, Developer tools

Andrew Ng

DeepLearning.AI Short Courses · Beginner to advanced

Structured, practical courses from prompt engineering through agentic workflows.

Skills

Prompting, Agents, RAG, ML foundations

Jeremy Howard

fast.ai · Intermediate

One of the best practical routes into training and using real models.

Skills

Deep learning, PyTorch, Model training

Rachel Thomas

fast.ai · Beginner to intermediate

Good practical teaching on making ML more understandable and useful.

Skills

Practical ML, Ethics, Education

Andrej Karpathy

Neural Networks: Zero to Hero · Intermediate

Excellent from-scratch explanations of neural networks and language models.

Skills

Neural networks, Backprop, LLM internals

Simon Willison

Simon Willison on LLMs · Beginner to advanced

Consistently useful notes, demos, model comparisons, and warnings about practical LLM use without product marketing gloss.

Skills

LLM tools, Prompting, AI safety, Local models, Model selection

Jason Liu

Instructor · Intermediate

Practical patterns for getting reliable structured data from LLMs.

Skills

Structured outputs, Extraction, RAG

Full Stack Deep Learning

Full Stack Deep Learning · Intermediate to advanced

Practical coverage of the whole ML product lifecycle.

Topics

MLOps, Deployment, Product ML

Hugging Face

Hugging Face Learn · Beginner to advanced

One of the best free ecosystems for learning open-source AI by building with models, datasets, spaces, agents, context engineering, and MCP workflows.

Topics

Agents, Context engineering, MCP, Transformers, Post-training, Open models

Anthropic

Anthropic Academy and Claude docs · Beginner to advanced

Official material for learning current Claude model tradeoffs, including Fable 5, Opus 4.8, Sonnet 4.6, Claude Code, MCP, and computer-use workflows without relying on third-party summaries.

Topics

Claude Fable 5, Claude Opus 4.8, Claude Sonnet 4.6, Claude Code, MCP, Computer use, AI fluency, Frontier model selection

Google for Developers

Machine Learning Crash Course · Beginner

A fast, practical way to build vocabulary and intuition before going deeper into LLMs or AI engineering.

Topics

ML foundations, Classification, Embeddings, Neural networks

LangChain

LangChain Academy · Intermediate

Useful when you are ready to build multi-step LLM applications, agents, and graph-based workflows.

Topics

LangGraph, Agents, LLM orchestration, RAG

Weights & Biases

W&B Courses · Intermediate

Good for builders who need to measure, debug, and improve LLM apps rather than just demo them.

Topics

LLM apps, Evals, Experiment tracking, MLOps

OpenAI

OpenAI model docs and Cookbook · Beginner to advanced

Official model and implementation material for learning current GPT-5.5, GPT-5.5 Pro, and GPT-5.4 tradeoffs, Codex workflows, agent evals, MCP and connector patterns, retrieval, model optimization, and structured outputs.

Topics

GPT models, Reasoning models, Model selection, Agents, RAG, Structured outputs, MCP, Evals

Microsoft

AI Agents for Beginners · Beginner to intermediate

A structured lesson path for understanding when to use agents and how to build simple agentic systems.

Topics

Agents, Multi-agent workflows, Tool use

Kaggle

Kaggle Learn · Beginner

Useful for people who need the data and ML basics before working seriously with AI tools.

Topics

Python, Machine learning, Data preparation, Computer vision

3Blue1Brown

Neural Networks series · Beginner to intermediate

High-quality visual intuition for neural networks and transformers before or alongside coding-heavy courses.

Topics

Neural networks, Transformers, Mathematical intuition

AssemblyAI

AssemblyAI YouTube · Beginner to intermediate

Practical developer tutorials and clear overviews of current AI engineering topics.

Topics

Speech AI, LLMs, Agents, ML concepts

Pinecone

Pinecone Learn · Beginner to advanced

Useful for understanding vector search, embeddings, chunking, retrieval, and RAG system design.

Topics

Vector databases, RAG, Embeddings, Search

Skill system

OpenClaw Skills

OpenClaw · Official docs

Use this to understand the OpenClaw skill format: markdown instruction files in directories with SKILL.md frontmatter and tool-use guidance.

Start

Read the official skills docs before installing community skills, then test one low-risk local skill in a disposable workspace.

Skill marketplace

ClawHub

OpenClaw · Registry

Use this when you need a public registry for OpenClaw skills and plugins rather than hand-copying skill folders.

Start

Search from the CLI, inspect the skill source, and install only skills that match a real workflow.

Workflow skill catalog

AI Skills for Real Engineers

Matt Pocock / AI Hero · Skill catalog

Use this when you want opinionated coding-agent workflows instead of generic prompt snippets.

Start

Start with /teach, /grill-me, /to-prd, /to-issues, /tdd, /triage, or /handoff depending on the job.

Agent harness

OpenClaw

OpenClaw · Open-source agent harness

Use this when you want an agent runtime you can shape with local skills, plugins, and workspace-level behavior.

Start

Start with the docs, install the minimum useful setup, then add one skill only after you understand its file access and commands.

Self-improving agent

Hermes Agent

Nous Research · Open-source agent

Use this when persistent memory, skill creation from completed tasks, and remote agent operation matter more than a simple chat UI.

Start

Read the README, run it in a contained environment, and test one recurring workflow before trusting broader memory.

Agent orchestration

Mission Control

Builderz Labs · Open-source dashboard

Use this when the hard part is seeing, assigning, and coordinating agent work rather than writing another prompt.

Start

Run it locally, connect one low-risk agent workflow, and validate task state, cost tracking, and review behavior.

AI worker platform

Mission Control AI

Mission Control AI · Preconfigured AI workers

Use this when you want role-specific AI workers with SOPs, integrations, and governance policies already built in.

Start

Map one operational process, identify data and approval boundaries, and evaluate whether a prebuilt worker fits before building custom agents.

AI assistant builder

Lindy

Lindy · AI executive assistant

Use this when the job is business admin across apps rather than custom coding or local agent infrastructure.

Start

Build one assistant for a narrow workflow such as meeting follow-up, scheduling, or inbox triage with human approval.