AI learning guide

Best AI educators for developers

Build LLM apps, agents, RAG systems, local model tools, and AI workflows.

Best app-building course: AI SDK v6 Crash Course. Matt Pocock's course for building modern TypeScript AI apps. Start here if you want implementation reps with streaming, tools, structured outputs, and evals.

Best example library: OpenAI Cookbook. Official OpenAI examples and recipes. Use it when you need working implementation patterns rather than abstract explanation.

Best production judgement: AI Engineering. Chip Huyen's book and resources on reliable AI systems. Use it once your demo needs to survive real users.

Developers need implementation reps

A useful AI educator for developers shows real code: model calls, streaming, structured outputs, tool use, retrieval, evals, deployment, and debugging. Abstract AI literacy is not enough once you are building a product.

AI SDK v6 Crash Course is strong for modern app-building. The OpenAI Cookbook is a practical reference. Chip Huyen's AI Engineering helps when you need production judgement beyond one framework.

Learn the loop from demo to system

Start with one end-to-end AI feature, then add evals, observability, model comparisons, cost checks, and failure handling. That path teaches more than sampling many unrelated tutorials.

Avoid resources that never leave a notebook or toy chat UI if your goal is production work. Real AI engineering lives in the interfaces between model behavior, product requirements, and software systems.

Recommended courses and resources

  1. Mistral Large 4 open-weight release guide

    Open-weight model launch analysis · Mistral AI · Intermediate to advanced

    Use this to decide whether Mistral Large 4 belongs in a self-hosted coding or defensive-security evaluation.

  2. Embedded browser flaws in five AI coding assistants

    AI coding assistant security analysis · Forever Security · Intermediate to advanced

    Use this if your team previews local HTML or browses from an AI coding assistant. Check patch status, trusted projects and credential exposure before continuing.

  3. Gemini 4 Carbon cyberdefense launch guide

    Frontier model and cybersecurity launch analysis · Google DeepMind · Intermediate to advanced

    Use this to assess Gemini 4 Carbon's reported cyber capabilities, limited rollout and evidence requirements before planning a production evaluation.

  4. GitHub Copilot Fusion launch and rollout guide

    AI coding agent launch analysis · GitHub · Intermediate to advanced

    Use this after GitHub Universe 2026 to evaluate Copilot Fusion, cross-repository Projects and usage-based enterprise access on your own development work.

  5. Warp agent-log breach response guide

    AI developer-tool security analysis · Warp · Intermediate

    Assess Warp's vendor breach, identify exposed agent data and decide which logs, credentials and integrations need review.

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: October 7, 2026. Suggest a correction if a course, doc, or recommendation is outdated.

Videos to watch

OpenAI's GPT-6.1 Terra uses your computer for less video thumbnail ►

OpenAI's GPT-6.1 Terra uses your computer for less

Coding with Sela

Better AI Models Won't Fix Your Engineering Team — Nicholas Arcolano, Jellyfish video thumbnail ►

Better AI Models Won't Fix Your Engineering Team — Nicholas Arcolano, Jellyfish

AI Engineer

Does Code Quality Still Matter? It Depends on This — Max Kanat-Alexander, Capital One video thumbnail ►

Does Code Quality Still Matter? It Depends on This — Max Kanat-Alexander, Capital One

AI Engineer

One Day, $1,000 in Tokens: An AI War Room for Legacy Code — Ford Prior, GEICO video thumbnail ►

One Day, $1,000 in Tokens: An AI War Room for Legacy Code — Ford Prior, GEICO

AI Engineer

A Bank Built Its Own Coding Agent. It Took Off — Felipe Felisola Caso & Francesco Galletta, Monzo video thumbnail ►

A Bank Built Its Own Coding Agent. It Took Off — Felipe Felisola Caso & Francesco Galletta, Monzo

AI Engineer

Smarter Models Killed the Harness. Here's What's Left — Jediah Katz, SpaceXAI video thumbnail ►

Smarter Models Killed the Harness. Here's What's Left — Jediah Katz, SpaceXAI

AI Engineer

Teach Your Agent to Prove It's Done — Nick Nisi & Zack Proser, WorkOS video thumbnail ►

Teach Your Agent to Prove It's Done — Nick Nisi & Zack Proser, WorkOS

AI Engineer

The Highest Loop — swyx video thumbnail ►

The Highest Loop — swyx

AI Engineer

Educators and sources

Educator / source Best for Skills Start with
Developers, AI engineers AI engineering, Agents, Developer tools Watch AI Engineer talks for production patterns and tool choices.
Everyone from beginners to builders Prompting, Agents, RAG, ML foundations Start with ChatGPT Prompt Engineering for Developers, then pick a RAG or agents course.
Developers, data scientists Practical ML, Ethics, Education Use fast.ai essays and course material alongside hands-on notebooks.
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 building LLM apps Structured outputs, Extraction, RAG Try the Instructor examples for extraction and validation.
Builders shipping LLM systems Evals, RAG, LLM product quality Read the evals guide and build a small test set for your own app.
Engineers, ML practitioners AI engineering, Systems, Production ML Use the book page and related essays as a production engineering path.
Developers, researchers Prompting, RAG, Reasoning, Agents Use the prompting techniques and RAG sections as a reference.
Visual learners, developers Transformers, Embeddings, LLM concepts Read The Illustrated Transformer, then The Illustrated GPT-2.
Developers, engineering leaders AI coding, Engineering workflows, Frontend Look for AI coding and engineering workflow posts.
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.
AI engineers, founders, researchers AI engineering, Industry context, Model ecosystem Pick interviews with engineers building tools you already use.
Mobile app founders, non-coders, indie makers AI app building, Vibe coding, Mobile apps, Launch strategy Use the free course to pick one simple app idea and validate it before polishing.
Beginners, side-hustle builders, aspiring entrepreneurs AI business, Income ideas, No-code AI, Entrepreneurship Use the 30-day structure to validate one business idea and one AI-assisted offer before building more assets.
Operations leaders, process owners, business operators AI automation, Operations workflows, AI agents, No-code automation Pick one manual ops workflow and use it as the bootcamp project instead of practicing on abstract examples.
Leaders, executives, managers Agentic AI, AI assistants, Leadership workflows, Prompt refinement Bring a leadership workflow such as decision prep, team planning, or prompt governance into the course exercises.
Product managers, founders, non-engineering product builders Claude Code, AI prototyping, Product shipping, PM workflows Choose one product idea or internal tool and use Claude Code to build a prototype with clear acceptance criteria.
Developers, automation builders, AI learners who want practical workflows AI agents, RAG, Local AI, n8n, Claude Code Start with Cole's practical agent or local AI walkthroughs, then rebuild one workflow end to end instead of watching tool overviews back to back.

Resources

Mistral Large 4 open-weight release guide

Open-weight model launch analysis · Mistral AI · Intermediate to advanced

Use this to decide whether Mistral Large 4 belongs in a self-hosted coding or defensive-security evaluation.

Embedded browser flaws in five AI coding assistants

AI coding assistant security analysis · Forever Security · Intermediate to advanced

Use this if your team previews local HTML or browses from an AI coding assistant. Check patch status, trusted projects and credential exposure before continuing.

Gemini 4 Carbon cyberdefense launch guide

Frontier model and cybersecurity launch analysis · Google DeepMind · Intermediate to advanced

Use this to assess Gemini 4 Carbon's reported cyber capabilities, limited rollout and evidence requirements before planning a production evaluation.

GitHub Copilot Fusion launch and rollout guide

AI coding agent launch analysis · GitHub · Intermediate to advanced

Use this after GitHub Universe 2026 to evaluate Copilot Fusion, cross-repository Projects and usage-based enterprise access on your own development work.

Warp agent-log breach response guide

AI developer-tool security analysis · Warp · Intermediate

Assess Warp's vendor breach, identify exposed agent data and decide which logs, credentials and integrations need review.

GPT-6.1 Terra launch explained

Frontier model launch analysis · OpenAI · Intermediate

You need to decide whether GPT-6.1 Terra fits a visual, computer-use or coding workflow and want launch facts separated from independent evidence and unresolved safety questions.

AGENTS.md Downloads-folder hijack explained

Coding agent security analysis · Forever Security · Intermediate to advanced

Use this after running a coding agent in Downloads or another unreviewed folder. Audit instructions, configuration and credentials before the next session.

Kimi K3.1 Pro explained

Open-weight model news analysis · Moonshot AI · Intermediate to advanced

Moonshot AI launched Kimi K3.1 Pro on October 24, 2026, with open weights due by November 4. Learn what ships now, how cyber training was restricted and how to test it before migrating.

Neural Networks: Zero to Hero

Video course · Andrej Karpathy · Intermediate

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

AI Skills for Real Engineers

Skills catalog · Matt Pocock · Intermediate

You want a reusable skill system for agentic coding, including /grill-me, /grill-with-docs, /to-prd, /to-issues, /tdd, /triage, /handoff, /prototype, and review workflows.

AI SDK v6 Crash Course

Workshop · Matt Pocock · Intermediate

You want a structured AI SDK v6 course that covers model choice, text and object generation, UI streams, agents, persistence, context engineering, evals, and advanced app patterns.

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.

Vercel AI SDK Tutorial

Free tutorial · Matt Pocock · Beginner to intermediate

You want to build TypeScript LLM apps with Vercel's AI SDK, including streaming, structured outputs, model switching, embeddings, tool calls, and agents.