A working shelf of AI resources.
Courses, reports, podcasts, and books for understanding what AI can do, how to build with it, and how to apply it responsibly in organizations.
Courses and university resources.
Start with one structured path instead of collecting disconnected tutorials.
Stanford Online
Stanford’s online learning hub for professional and continuing education, including AI and machine learning offerings.
Explore Stanford Online ↗Stanford HAI AI Index
A large annual report and data resource covering technical progress, the economy, science, medicine, policy, and public opinion.
Read the AI Index ↗Hugging Face LLM Course
A hands-on route through transformers, datasets, tokenizers, and modern large-language-model techniques.
Start the LLM Course ↗DeepLearning.AI
Short courses and programs on generative AI, retrieval, agents, model development, and practical workflows.
Browse courses ↗NIST AI Risk Management Framework
Voluntary guidance for incorporating trustworthiness into the design, development, use, and evaluation of AI systems.
Read the AI RMF ↗Stanford AI100
Long-horizon research on how AI may shape society, institutions, work, and everyday life.
Explore AI100 ↗Podcasts for the commute or the lab.
Use different shows for different lenses: building, research, business, and public impact.
Latent Space
Conversations and analysis for people building AI products, infrastructure, and developer tools.
Listen to Latent Space ↗TWIML AI Podcast
Interviews and discussions with researchers, practitioners, and leaders across machine learning and AI.
Listen to TWIML ↗Practical AI
A practitioner-oriented show about making AI useful, productive, and accessible.
Listen to Practical AI ↗Books for the bigger picture.
These books complement the technical material with economics, work, governance, and long-term thinking.
Co-Intelligence
Ethan Mollick — a practical guide to working, learning, and creating with generative AI.
View the book ↗The Coming Wave
Mustafa Suleyman with Michael Bhaskar — a strategic view of powerful technologies and the challenge of containment.
View the book ↗Power and Prediction
Ajay Agrawal, Joshua Gans, and Avi Goldfarb — how cheaper prediction can reshape decisions and industries.
View the book ↗Human Compatible
Stuart Russell — an accessible argument for designing AI around human control and uncertainty about human preferences.
View the book ↗