resources

Andrew Ng's specializations on ML, deep learning, and generative AI.

Top-down, code-first deep learning course for coders.

Free hands-on course on transformers, NLP, and LLMs.

Google's interactive intro to machine learning fundamentals.

Free hands-on course on deep reinforcement learning.

Short practical micro-courses on Python, ML, and data.

Official guide to prompting Claude effectively.

Code recipes for building with Claude: RAG, tools, agents.

Practical code examples for building with OpenAI models.

Framework docs for building LLM apps, agents, and RAG.

Hard-won tactical lessons on shipping LLM products.

Deep essays on AI systems, ML production, and engineering.

Free full-stack web development curriculum with projects.

Free interactive coding curriculum with certifications.

Harvard's renowned intro to computer science, free online.

Authoritative reference for HTML, CSS, JavaScript, and web APIs.

Community-curated learning roadmaps for developer roles.

Curated core CS subjects with the best books and lectures.

Open-source guide to designing large-scale systems.

Coding problems for technical and algorithm interview prep.

Curated problem lists with clear video walkthroughs.

Free coding exercises with mentoring across 70+ languages.

Gamified coding kata to sharpen language fluency.

Real-world frontend projects from professional designs.

Andrew Ng's weekly roundup of AI news and research.

Jack Clark's weekly newsletter on frontier AI and policy.

Newsletter and podcast for AI engineers in production.

Prolific, practical writing on LLMs and developer tooling.

Deep technical explainers on ML and LLM topics.

Daily concise digest of tech, dev, and AI news.

High-signal community for tech, startups, and engineering.

Hub for open models, datasets, and ML demos.

Trending ML papers with linked code and discussion.

Open-access preprint server for AI and CS research.

Datasets, notebooks, and ML competitions community.

Fast unified API documentation browser, offline-capable.