Learnetto AI directory

Find the best AI educators, resources, and learning paths.

A compact directory for people who want practical AI skills and up-to-date official docs: prompting, automation, coding agents, MCP, model selection, AI product work, RAG, evals, model internals, and production AI engineering.

179 educators 12 learning paths 289 resources

coding agents claude code mcp context engineering agentic workflows agents

Today's rotation

Watch first

Current picks across coding agents, MCP, model selection, RAG, evals, and production AI.

All videos and resources

Claude Code beginner's tutorial

Peter Yang · coding agents, claude code, coding

2025 in LLMs so far

Simon Willison · llm tools, local models, ai engineering

Claude models overview

Anthropic · claude, anthropic, fable

Zero to Shipped Game with Claude Code

Peter Yang · claude code, prototyping, ai workflows

Hugging Face Agents Course

Hugging Face · agents, tools, open models

Agents for everything else

AI Engineer · agents, ai engineering, developer tools

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Educators to start with

Sorted for range: founders, product teams, developers, evals, model internals, and production systems.

Full educator directory

Educator	Best for	Skills	Start with
Josh Pigford Initial Commit	Indie founders, product builders	Founder workflows, Product ops, Automation	Read the public notes and examples before deciding whether the paid material matches your business.
Brian Casel Builder Methods	Founders, service business owners	Founder workflows, Systems, Automation	Look for workflow breakdowns and implementation examples.
Peter Yang Become an AI Powered Product Leader	Product managers, founders	Product strategy, Writing, AI adoption	Review the Maven syllabus and compare it to your current product workflow.
Lenny Rachitsky How I AI	Product teams, founders	Product, Growth, Team adoption	Browse the How I AI interviews and copy the workflows that match your role.
Ethan Mollick One Useful Thing	Knowledge workers, educators, leaders	AI literacy, Workplace adoption, Strategy	Read recent essays on using AI as a collaborator and on organizational adoption.
Swyx AI Engineer	Developers, AI engineers	AI engineering, Agents, Developer tools	Watch AI Engineer talks for production patterns and tool choices.
Andrew Ng DeepLearning.AI Short Courses	Everyone from beginners to builders	Prompting, Agents, RAG, ML foundations	Start with ChatGPT Prompt Engineering for Developers, then pick a RAG or agents course.
Jeremy Howard fast.ai	Coders learning deep learning	Deep learning, PyTorch, Model training	Practical Deep Learning for Coders, lesson 1.
Rachel Thomas fast.ai	Developers, data scientists	Practical ML, Ethics, Education	Use fast.ai essays and course material alongside hands-on notebooks.
Andrej Karpathy Neural Networks: Zero to Hero	Programmers who want model internals	Neural networks, Backprop, LLM internals	Watch micrograd, then makemore, then the GPT video.
Simon Willison Simon Willison on LLMs	Developers, technical generalists	LLM tools, Prompting, AI safety, Local models, Model selection	Read the recent model-roundup posts, then try the llm command-line tool with two or three different providers.
Jason Liu Instructor	Developers building LLM apps	Structured outputs, Extraction, RAG	Try the Instructor examples for extraction and validation.

Full educator directory

Choose by skill

Use these as quick routes into the directory.

All learning paths

AI foundations

Useful for: Everyone

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

Resources: DeepLearning.AI, Learn Prompting, Ethan Mollick

Prompting and writing

Useful for: Writers, operators, PMs, founders

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

Resources: Learn Prompting, DAIR.AI, Peter Yang

Automation and agents

Useful for: Founders, operations teams, developers

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

Resources: Brian Casel, Josh Pigford, AI Engineer

AI product work

Useful for: PMs, designers, founders

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

Resources: Peter Yang, Lenny Rachitsky, Shreya Shankar

Coding with AI

Useful for: Software developers

Learn: Codebase navigation; Test generation; Refactoring; Reviewing AI output

Resources: Simon Willison, Addy Osmani, Matt Pocock, AI Engineer

Context engineering and MCP

Useful for: Developers using coding agents and tool-connected workflows

Learn: How to structure instructions, memories, and skills; When to use MCP servers versus retrieval or file search; Subagents, hooks, and tool boundaries; How to keep agent context small, relevant, and testable

Resources: Anthropic, Hugging Face, OpenAI, Matt Pocock, Simon Willison

RAG and knowledge systems

Useful for: Developers building AI apps

Learn: Chunking and retrieval; Structured extraction; Reranking; Grounded answers

Resources: Jason Liu, Hamel Husain, Eugene Yan

Evals and reliability

Useful for: AI product teams

Learn: Test sets; Human review; Regression checks; Quality metrics

Resources: Hamel Husain, Shreya Shankar, Chip Huyen

All learning paths

Resources worth opening

A rotating mix of official docs, hands-on guides, model catalogs, and practical AI engineering resources.

Full resource library

Resource	Type	Level	Use when
OpenAI model guide OpenAI	Model docs	Beginner to advanced	You need to choose between GPT-5.5, GPT-5.5 Pro, GPT-5.4 mini, GPT-5.4 nano, reasoning levels, tool support, and cost-sensitive API paths.
Claude choosing a model Anthropic	Guide	Intermediate	You need Anthropic's current guidance on balancing capability, speed, and cost before changing Claude models.
Gemini coding agent setup Google AI for Developers	Guide	Intermediate	You want Google's official setup path for Gemini-driven coding-agent workflows, Gemini Docs MCP, and skills rather than generic prompt advice.
Claude Code overview Anthropic	Guide	Intermediate	You want practical docs for using Claude as a coding agent across a real codebase and toolchain.
Gemini Deep Research preview Google AI for Developers	Guide	Intermediate to advanced	You want the latest official Google docs for long-running research agents, cited reports, background execution, and MCP-aware investigation workflows.
A Complete Guide To AGENTS.md Matt Pocock	Guide	Intermediate	You want to write project instructions that help coding agents understand commands, conventions, architecture, and working boundaries.
Hugging Face Context Course Hugging Face	Free course	Intermediate	You want a focused course on context engineering for code agents, including skills, subagents, hooks, and MCP.
Model Context Protocol Tutorial Matt Pocock	Free tutorial	Intermediate	You want to understand MCP and build TypeScript MCP servers over stdio or HTTP, connect Claude Code to tools, use MCP prompts, and package servers for distribution.

Full resource library