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 OpenAI learning hub: OpenAI Academy. Official OpenAI Academy hub for guided courses and skills. Use it when you want a more structured OpenAI learning path than raw API docs alone.

Best Claude learning hub: Anthropic Academy. Official Anthropic hub for AI fluency, Claude Code, MCP, and Claude courses. Use it to move from one-off Claude docs pages into a broader official learning path.

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

Best open-model catalog: Hugging Face model hub. Hugging Face's live catalog for open checkpoints, datasets, and demos. Use it to see what open models are actually available, not just which ones were announced.

Best DeepSeek migration source: DeepSeek models and pricing. Official DeepSeek pricing and model page. Use it to verify live model names, pricing, and alias migrations before building around DeepSeek.

Best routed-catalog reference: OpenRouter models guide. OpenRouter's cross-provider model directory. Use it when you want one place to compare current provider availability across model families.

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, OpenRouter, and Hugging Face docs if your work depends on model behavior. As of Monday, July 27, 2026, that means checking pages that already show the current families and migrations, plus the operational docs that affect real costs and latency: OpenAI's latest-model guidance plus compare-models, the Responses API migration guide, conversation state, Codex best practices, Batch, Flex, Prompt Caching, the Agent Builder deprecation notice, and OpenAI Academy; Anthropic Academy plus Claude overview, the current Claude lineup, Managed Agents, Advisor tool, Prompt Caching, Batch Processing, and release notes; Gemini model tables plus the Gemini 3 Developer Guide, Agents Overview, Batch API, background execution, Computer Use, Hooks, context caching, pricing, the GA Interactions API, URL Context, File Search, and deprecations in Google's docs; Mistral's model-selection and changelog pages; Cohere's models, rerank, and embed docs; DeepSeek's pricing and updates pages; and OpenRouter's large model directory plus provider-routing and Fusion Router docs. 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.

Roll a learning mission

Pick one small move from this guide instead of opening ten tabs.

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: July 27, 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
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.
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.
Builders, founders, AI-curious operators, developer-adjacent learners AI agents, Open-source AI, Vibe coding, MCP, AI workflows Start with the OpenClaw guide or a Forward Future University lesson, then use the newsletter to follow adjacent tools only after you ship one example.
Developers learning agent frameworks, multi-agent systems, and open-source AI tooling AI agents, Multi-agent workflows, MCP, RAG, Open source Start with the main repo and one video tutorial, then run a minimal local example before reaching for larger multi-agent setups.

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 external models

Guide · OpenAI · Intermediate

You want to learn how OpenAI handles access to non-OpenAI model families before designing a mixed-provider or routed workflow.

OpenAI model guide

Model docs · OpenAI · Beginner to advanced

You need to choose between current GPT-5.6 variants, smaller GPT-5.4 variants, reasoning levels, tool support, and cost-sensitive API paths.

OpenAI all models

Model catalog · OpenAI · Beginner to advanced

You want the current full OpenAI model catalog, including older and deprecated entries, before wiring exact model IDs into evals, tooling, or migrations.

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.

Codex changelog

Release notes · OpenAI · Beginner to advanced

You need the current Codex feature timeline before teaching a workflow that depends on new app, CLI, subagent, skill, or MCP behavior.

OpenAI Secure MCP Tunnel

Guide · OpenAI · Intermediate to advanced

You need to expose a private MCP server to OpenAI products without opening inbound firewall ports or publishing the server on the public internet.

OpenAI deep research guide

Guide · OpenAI · Intermediate to advanced

You want the official OpenAI path for long-running research tasks that combine reasoning, web search, remote MCP servers, and detailed cited reports.

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 Courses

Official learning hub · Anthropic · Beginner to advanced

You want Anthropic's current course list for Claude API work, MCP, Claude Code, skills, and AI fluency instead of piecing course links together from blog posts.

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.