- The 2025 AI Engineer Reading List (Latent Space)
- Coursera (Online Courses)
- Andrej Karpathy Tutorial Videos
- Intro to Large Language Models (1-hour general-audience intro to LLMs)
- Replit 100 Days of Code (The Complete Python Course)
- Prompt Engineering for Generative AI (by James Phoenix & Mike Taylor)
- Building LLMs for Production (by Louis-Francois Bouchard & Louie Peters)
- Start Machine Learning in 2024 (by @Whats_AI)
- Elicit Machine Learning Reading List
- Zero to GPT (by @VikParuchuri)
- Deep Learning Book (by Ian Goodfellow and Yoshua Bengio & Aaron Courville)
- Mathematics for Machine Learning Book (by Marc Peter Deisenroth, A. Aldo Faisal & Cheng Soon Ong)
- Generative AI Handbook: A Roadmap for Learning Resources (by William Brown)
- Situation Awareness for AI: The Decade Ahead (by Leopold Aschenbrenner)
- AI & Universities: Will Masters of Learning Master New Learnings? (by Mary Meeker)
- OpenAI Docs: Platform Prompt Engineering
- Shape Up: Stop running in circles and ship work that matters
- On the Measure of Intelligence, by François Chollet
- Deep Learning Course, by François Chollet
Troy Benohanian 