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. Neural Networks: Zero to Hero

    Video course · Andrej Karpathy · Intermediate

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

  2. ChatGPT Prompt Engineering for Developers

    Short course · DeepLearning.AI · Beginner

    You want a short, structured intro to prompting for software tasks.

  3. 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.

  4. 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.

  5. 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.

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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

Code with Claude London 2026: Opening Keynote video thumbnail ►

Code with Claude London 2026: Opening Keynote

Claude

The Agentic Engineer Workflow You Need In 2026 video thumbnail ►

The Agentic Engineer Workflow You Need In 2026

Zen van Riel

Claude Code: Build Your First AI Agent video thumbnail ►

Claude Code: Build Your First AI Agent

Teacher's Tech

Prompt engineering for developers video thumbnail ►

Prompt engineering for developers

DeepLearning.AI

Claude Code beginner's tutorial video thumbnail ►

Claude Code beginner's tutorial

Peter Yang

Agents for everything else video thumbnail ►

Agents for everything else

AI Engineer

Machine learning crash course video thumbnail ►

Machine learning crash course

Google for Developers

Neural networks from scratch video thumbnail ►

Neural networks from scratch

Andrej Karpathy

Educators and sources

Educator / source Best for Skills Start with
Swyx profile photo
Developers, AI engineers AI engineering, Agents, Developer tools Watch AI Engineer talks for production patterns and tool choices.
Andrew Ng profile photo
Everyone from beginners to builders Prompting, Agents, RAG, ML foundations Start with ChatGPT Prompt Engineering for Developers, then pick a RAG or agents course.
Rachel Thomas profile photo
Developers, data scientists Practical ML, Ethics, Education Use fast.ai essays and course material alongside hands-on notebooks.
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.
Jason Liu profile photo
Developers building LLM apps Structured outputs, Extraction, RAG Try the Instructor examples for extraction and validation.
Hamel Husain profile photo
Builders shipping LLM systems Evals, RAG, LLM product quality Read the evals guide and build a small test set for your own app.
Chip Huyen profile photo
Engineers, ML practitioners AI engineering, Systems, Production ML Use the book page and related essays as a production engineering path.
Elvis Saravia profile photo
Developers, researchers Prompting, RAG, Reasoning, Agents Use the prompting techniques and RAG sections as a reference.
Jay Alammar profile photo
Visual learners, developers Transformers, Embeddings, LLM concepts Read The Illustrated Transformer, then The Illustrated GPT-2.
Addy Osmani profile photo
Developers, engineering leaders AI coding, Engineering workflows, Frontend Look for AI coding and engineering workflow posts.
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.
Latent Space profile photo
AI engineers, founders, researchers AI engineering, Industry context, Model ecosystem Pick interviews with engineers building tools you already use.
Eldar Agayev profile photo
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.
Use AI To Make Money And Start Your Business In 30 Days profile photo
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.
AI Automation Bootcamp for Operations Leaders profile photo
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.
Hands-on Agentic AI for Leaders profile photo
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.
AI Coding for Product Managers profile photo
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.
Jerry Liu profile photo
Developers building RAG and document agents RAG, Agents, Document workflows, Context augmentation Read the LlamaIndex introduction, then build a small document Q&A app.

Resources

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.

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.

Learn Anything With My /teach Skill

Guide / Claude skill · Matt Pocock · Beginner to intermediate

You want Claude to act as a personalized teacher that creates a learning mission, finds resources, generates interactive lessons, quizzes you, and keeps progress records.

5 Agent Skills I Use Every Day

Guide · Matt Pocock · Intermediate

You want a practical entry point into Matt's everyday agent skills and how they fit into real software work.

A Complete Guide To AGENTS.md

Guide · Matt Pocock · Intermediate

You want to write project instructions that help coding agents understand commands, conventions, architecture, and working boundaries.

How To Make Codebases AI Agents Love

Guide · Matt Pocock · Intermediate

You want to improve a codebase so AI agents can navigate it, run checks, make smaller changes, and recover from mistakes more reliably.

My Skill Makes Claude Code GREAT At TDD

Guide / Claude skill · Matt Pocock · Intermediate

You want an agent workflow that implements behavior with a red, green, refactor loop instead of jumping straight to broad code changes.

AI Engineering

Book · Chip Huyen · Intermediate to advanced

You are moving from demos to production systems.

LLM Evals

Guide · Hamel Husain · Intermediate

Your AI app needs quality checks before users see it.