Learning
Learn agentic AI
A curated starting library for agentic AI and LLM engineering — 70 hand-picked videos, repositories, guides, and books, from first principles to production agents. All links open at the source.
Watch
Videos
13 links- Intro to Large Language Models — Andrej KarpathyVideo
- Agentic AI Overview — StanfordLecture
- Building Effective AgentsVideo
- Building Agents with MCPVideo
- Building and Evaluating AgentsVideo
- Building an Agent from ScratchVideo
- LLMs from ScratchVideo
- Philo Agents — full playlistPlaylist
- Deep Dive into LLMs like ChatGPT — Andrej KarpathyVideo
- Let's build GPT: from scratch — Andrej KarpathyVideo
- Neural Networks: Zero to Hero — Andrej KarpathyPlaylist
- Neural networks — 3Blue1BrownPlaylist
- NIST — Intro to the AI Risk Management Framework (explainer)Security
Build
Repos
24 links- Microsoft — AI Agents for BeginnersGitHub
- GenAI Agents — nirdiamantGitHub
- LLM Course — mlabonneGitHub
- Hands-On AI Engineering — Sumanth077GitHub
- Prompt Engineering GuideGitHub
- Hands-On Large Language ModelsGitHub
- Made With MLGitHub
- Awesome Generative AI GuideGitHub
- Designing Machine Learning SystemsGitHub
- Machine Learning for Beginners — MicrosoftGitHub
- Generative AI for Beginners — MicrosoftGitHub
- Anthropic CookbookGitHub
- OpenAI CookbookGitHub
- Hugging Face TransformersGitHub
- LangChainGitHub
- OllamaGitHub
- Google Gemini CookbookGitHub
- OWASP Top 10 for LLM ApplicationsSecurity
- garak — LLM vulnerability scanner (NVIDIA)Security
- PyRIT — AI red-teaming toolkit (Microsoft)Security
- PurpleLlama — trust & safety tooling (Meta)Security
- LLM Guard — input/output firewall (Protect AI)Security
- Awesome ML Security — Trail of BitsSecurity
- Awesome LLM SecuritySecurity
Reference
Guides
19 links- Building Effective Agents — AnthropicGuide
- OpenAI's Practical Guide to Building AgentsGuide
- Google's Agent WhitepaperGuide
- Google's Agent CompanionGuide
- Claude Code — Best Agentic Coding PracticesGuide
- Hugging Face — AI Agents Course (free)Course
- Anthropic — Prompt Engineering (docs)Docs
- Model Context Protocol — IntroductionDocs
- OpenAI — Prompt Engineering (docs)Docs
- DeepLearning.AI — Short CoursesCourse
- OWASP GenAI Security ProjectSecurity
- OWASP Top 10 for LLM Applications (2025)Security
- NIST — AI Risk Management FrameworkStandard
- NIST — Cybersecurity Framework 2.0Standard
- MITRE ATLAS — adversarial ML threat matrixSecurity
- Google — Secure AI Framework (SAIF)Security
- EU AI Act — regulatory frameworkRegulation
- Microsoft — Responsible AIGovernance
- Cloud Security Alliance — AI safetySecurity
Read
Books
14 links- Building a Large Language Model (From Scratch)Book
- Understanding Deep Learning — freeBook
- The LLM Engineering HandbookBook
- AI Agents: The Definitive Guide — Nicole KoenigsteinBook
- Building Applications with AI Agents — Michael AlbadaBook
- AI Agents with MCP — Kyle StratisBook
- Dive into Deep Learning — freeBook
- The Little Book of Deep Learning — Fleuret, freeBook
- Neural Networks and Deep Learning — Nielsen, freeBook
- Speech and Language Processing — Jurafsky & Martin, freeBook
- AI Engineering — Chip HuyenBook
- Hands-On Large Language Models — Alammar & GrootendorstBook
- The Developer's Playbook for LLM Security — Steve WilsonSecurity
- Adversarial AI: Attacks, Mitigations & Defense Strategies — John SotiropoulosSecurity
Go deeper
Read the field notes
Once you've got the fundamentals, the research library puts them to work — agent architecture, evals, memory, and reliability, written from inside real builds.