AI learning guide

Best official AI provider docs and model catalogs

Start with primary-source documentation when learning current models, APIs, agents, MCP, and provider-specific tradeoffs.

Best OpenAI docs to bookmark: OpenAI model guide. Official OpenAI guide to current GPT, reasoning, coding, and tool-capable models. Use it when model names, reasoning levels, and API behavior matter.

Best Claude model reference: Claude models overview. Official Anthropic overview of Claude models and release families. Use it before relying on secondary summaries of Claude capabilities.

Best Gemini model reference: Gemini API models. Official Google AI for Developers model documentation. Use it to compare Gemini context, modality, and release channels.

Primary sources matter most when models move fast

Model names, aliases, context windows, pricing, tool support, and recommended usage can change quickly. Official docs and model catalogs are the first place to check before relying on a course, tweet, or old benchmark.

Bookmark OpenAI, Anthropic, Gemini, Llama, Mistral, Cohere, DeepSeek, Qwen, xAI, Perplexity, Together, and OpenRouter docs if your work depends on model behavior. Secondary summaries are useful only after the primary source is checked.

Use catalogs to narrow the test set

A model catalog should not make the final decision for you. It should narrow the candidates by modality, context, tool support, speed, price, hosting route, and data constraints.

Once the list is short, test the models on your own prompts and workflows. That is the only way to know whether a model is right for your coding agent, RAG system, product feature, or research assistant.

Recommended courses and resources

  1. The AI Engineer Roadmap

    Free tutorial · Matt Pocock · Beginner to intermediate

    You want a guided path through core AI concepts, model selection, the AI engineering mindset, evals, and techniques for improving LLM-powered apps.

  2. Model Context Protocol Tutorial

    Free tutorial · Matt Pocock · 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.

  3. AI Coding Dictionary

    Dictionary · Matt Pocock · Beginner to intermediate

    You want plain-English definitions for agentic coding concepts such as context windows, tools, MCP, handoffs, skills, subagents, feedback loops, and agent-ready work.

  4. MCP: Build Rich-Context AI Apps with Anthropic

    Short course · DeepLearning.AI · Intermediate

    You want a hands-on MCP course for connecting tools, context, and Claude-powered apps.

  5. Hugging Face MCP Course

    Free course · Hugging Face · Beginner to intermediate

    You want a free structured MCP path with concepts, assignments, SDKs, and a certificate route.

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About this guide

Author: Learnetto Editorial Team. Learnetto maintains this AI learning directory by organizing public course pages, official documentation, educator material, and practical learning resources.

How it is made: Learnetto uses public course pages, official documentation, educator material, and directory data to compile these recommendations. AI may help draft and organize the page, but recommendations are checked against the listed sources, page topic, and learner intent.

Review policy: We only add a named personal reviewer when that person has substantially reviewed the page. Until then, the page is attributed to Learnetto rather than a founder, editor, or individual expert.

Last updated: June 18, 2026. Suggest a correction if a course, doc, or recommendation is outdated.

Videos to watch

Google's AI endgame is here... everything you missed at I/O 2026 video thumbnail ►

Google's AI endgame is here... everything you missed at I/O 2026

Fireship

How to Build for AI Agents and a Claude Code Second Brain in 25 Min | Ryan Wiggins video thumbnail ►

How to Build for AI Agents and a Claude Code Second Brain in 25 Min | Ryan Wiggins

Peter Yang

The last six months in LLMs in five minutes video thumbnail ►

The last six months in LLMs in five minutes

Simon Willison

Educators and sources

Educator / source Best for Skills Start with
Simon Willison profile photo
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.
Matt Pocock profile photo
Developers and self-directed learners building with AI coding agents AI coding, Claude Skills, Agentic workflows, AI SDK, MCP, LLM fundamentals, Personalized learning Use LLM Fundamentals or the AI Engineer Roadmap if you need concepts, the Vercel AI SDK Tutorial or AI SDK v6 Crash Course if you want to build apps, and the AI Skills catalog if you want practical agent workflows like /teach, /grill-me, /tdd, and /triage.

Resources

The AI Engineer Roadmap

Free tutorial · Matt Pocock · Beginner to intermediate

You want a guided path through core AI concepts, model selection, the AI engineering mindset, evals, and techniques for improving LLM-powered apps.

Model Context Protocol Tutorial

Free tutorial · Matt Pocock · 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.

AI Coding Dictionary

Dictionary · Matt Pocock · Beginner to intermediate

You want plain-English definitions for agentic coding concepts such as context windows, tools, MCP, handoffs, skills, subagents, feedback loops, and agent-ready work.

Hugging Face MCP Course

Free course · Hugging Face · Beginner to intermediate

You want a free structured MCP path with concepts, assignments, SDKs, and a certificate route.

OpenAI model guide

Model docs · OpenAI · 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.

OpenAI MCP and connectors

Guide · OpenAI · Intermediate

You need the official OpenAI path for wiring MCP servers and connectors into agent workflows instead of inventing your own tool contract.

Claude models overview

Model docs · Anthropic · Beginner to advanced

You need the official comparison of current Claude models, context windows, aliases, and release families before choosing cost, speed, and reliability tradeoffs.

Anthropic Academy

Official learning hub · Anthropic · Beginner to advanced

You want official Anthropic courses for AI fluency, Claude Code, MCP, or Claude API development before diving into narrower docs.

Anthropic MCP guide

Guide · Anthropic · Intermediate

You want Anthropic's official guidance for exposing tools and data to Claude through MCP instead of only reading the base spec.

Gemini API models

Model docs · Google AI for Developers · Beginner to advanced

You need to compare current Gemini stable, preview, latest, and experimental model IDs, context windows, and modality support.

Gemini coding agent setup

Guide · Google AI for Developers · Intermediate

You want Google's official setup path for Gemini-driven coding-agent workflows, Gemini Docs MCP, and skills rather than generic prompt advice.

Gemini API changelog

Release notes · Google AI for Developers · Intermediate

You need the official Gemini launch and shutdown timeline before relying on preview model IDs or older Flash variants.

Llama API model endpoint

API reference · Meta Llama · Intermediate

You need the machine-readable Llama API models endpoint and specifications before wiring model discovery into tooling or eval configs.

Mistral models overview

Model docs · Mistral AI · Beginner to advanced

You need to compare current Mistral families such as Devstral, Magistral, Voxtral, OCR, and general-purpose models.