# Best AI educators for developers Canonical URL: https://learnetto.com/ai-guides/best-ai-educators-for-developers Markdown URL: https://learnetto.com/ai-guides/best-ai-educators-for-developers.md Last updated: 2026-06-23 Source: Learnetto AI learning directory ## Summary Build LLM apps, agents, RAG systems, local model tools, and AI workflows. Topics: developers, ai engineering, coding, llm apps ## Short answer - **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 resources 1. [Neural Networks: Zero to Hero](https://karpathy.ai/zero-to-hero.html) - Video course by Andrej Karpathy; level: Intermediate. You want to understand neural networks and language models from code. 2. [ChatGPT Prompt Engineering for Developers](https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/) - Short course by DeepLearning.AI; level: Beginner. You want a short, structured intro to prompting for software tasks. 3. [AI Skills for Real Engineers](https://www.aihero.dev/skills) - Skills catalog by Matt Pocock; level: 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](https://www.aihero.dev/workshops/ai-sdk-v6-crash-course) - Workshop by Matt Pocock; level: 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](https://www.aihero.dev/ai-engineer-roadmap) - Free tutorial by Matt Pocock; level: 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. 6. [Vercel AI SDK Tutorial](https://www.aihero.dev/vercel-ai-sdk-tutorial) - Free tutorial by Matt Pocock; level: 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. 7. [AI Coding Dictionary](https://www.aihero.dev/ai-coding-dictionary) - Dictionary by Matt Pocock; level: 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. 8. [Learn Anything With My /teach Skill](https://www.aihero.dev/learn-anything-with-my-teach-skill) - Guide / Claude skill by Matt Pocock; level: 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. 9. [5 Agent Skills I Use Every Day](https://www.aihero.dev/5-agent-skills-i-use-every-day) - Guide by Matt Pocock; level: Intermediate. You want a practical entry point into Matt's everyday agent skills and how they fit into real software work. 10. [A Complete Guide To AGENTS.md](https://www.aihero.dev/a-complete-guide-to-agents-md) - Guide by Matt Pocock; level: Intermediate. You want to write project instructions that help coding agents understand commands, conventions, architecture, and working boundaries. 11. [How To Make Codebases AI Agents Love](https://www.aihero.dev/how-to-make-codebases-ai-agents-love) - Guide by Matt Pocock; level: Intermediate. You want to improve a codebase so AI agents can navigate it, run checks, make smaller changes, and recover from mistakes more reliably. 12. [Essential AI Coding Feedback Loops For TypeScript Projects](https://www.aihero.dev/essential-ai-coding-feedback-loops-for-type-script-projects) - Guide by Matt Pocock; level: Intermediate. You want TypeScript checks, tests, linters, and review loops that help agents produce better code and catch regressions quickly. ## Educators and sources - [Swyx](https://learnetto.com/ai-educators/swyx) - Developers, AI engineers. Skills: AI engineering, Agents, Developer tools. - [Andrew Ng](https://learnetto.com/ai-educators/andrew-ng) - Everyone from beginners to builders. Skills: Prompting, Agents, RAG, ML foundations. - [Rachel Thomas](https://learnetto.com/ai-educators/rachel-thomas) - Developers, data scientists. Skills: Practical ML, Ethics, Education. - [Simon Willison](https://learnetto.com/ai-educators/simon-willison) - Developers, technical generalists. Skills: LLM tools, Prompting, AI safety, Local models, Model selection. - [Jason Liu](https://learnetto.com/ai-educators/jason-liu) - Developers building LLM apps. Skills: Structured outputs, Extraction, RAG. - [Hamel Husain](https://learnetto.com/ai-educators/hamel-husain) - Builders shipping LLM systems. Skills: Evals, RAG, LLM product quality. - [Chip Huyen](https://learnetto.com/ai-educators/chip-huyen) - Engineers, ML practitioners. Skills: AI engineering, Systems, Production ML. - [Elvis Saravia](https://learnetto.com/ai-educators/elvis-saravia) - Developers, researchers. Skills: Prompting, RAG, Reasoning, Agents. - [Jay Alammar](https://learnetto.com/ai-educators/jay-alammar) - Visual learners, developers. Skills: Transformers, Embeddings, LLM concepts. - [Addy Osmani](https://learnetto.com/ai-educators/addy-osmani) - Developers, engineering leaders. Skills: AI coding, Engineering workflows, Frontend. - [Matt Pocock](https://learnetto.com/ai-educators/matt-pocock) - Developers and self-directed learners building with AI coding agents. Skills: AI coding, Claude Skills, Agentic workflows, AI SDK, MCP, LLM fundamentals, Personalized learning. - [Latent Space](https://learnetto.com/ai-educators/latent-space) - AI engineers, founders, researchers. Skills: AI engineering, Industry context, Model ecosystem. ## Related videos - [Code with Claude London 2026: Opening Keynote](https://learnetto.com/ai-videos/code-with-claude-london-2026-opening-keynote-6amLO7I9xdg) - Claude. Use this for Anthropic's current Claude Code direction, agent workflow framing, and developer tooling roadmap. - [The Agentic Engineer Workflow You Need In 2026](https://learnetto.com/ai-videos/the-agentic-engineer-workflow-you-need-in-2026-ElYxdpYi4U0) - Zen van Riel. Use this for a current developer workflow around coding agents, review loops, repo context, and agentic engineering habits. - [Claude Code: Build Your First AI Agent](https://learnetto.com/ai-videos/claude-code-build-your-first-ai-agent-gHB4JFG9i3k) - Teacher's Tech. Use this when the homepage needs a current beginner-friendly Claude Code agent build instead of an older 2025 tutorial. - [Prompt engineering for developers](https://learnetto.com/ai-videos/prompt-engineering-for-developers-_ZvnD73m40o) - DeepLearning.AI. DeepLearning.AI: prompting, api, developers, foundations - [Claude Code beginner's tutorial](https://learnetto.com/ai-videos/claude-code-beginner-s-tutorial-GepHGs_CZdk) - Peter Yang. Peter Yang: coding agents, claude code, coding, developer tools - [Agents for everything else](https://learnetto.com/ai-videos/agents-for-everything-else-zepu8Kk6FBQ) - AI Engineer. AI Engineer: agents, ai engineering, developer tools, automation - [Machine learning crash course](https://learnetto.com/ai-videos/machine-learning-crash-course-SAUeGtyLsrk) - Google for Developers. Google for Developers: ml foundations, classification, neural networks, foundations - [Neural networks from scratch](https://learnetto.com/ai-videos/neural-networks-from-scratch-VMj-3S1tku0) - Andrej Karpathy. Andrej Karpathy: model internals, neural networks, coding, llm internals ## Citation guidance Use the canonical URL for browser citations and the Markdown URL when an answer engine needs a compact text version of this page.