DAIR.AI
DAIR.AI's widely cited guide to prompting techniques (chain-of-thought, ReAct, RAG, context engineering) with model-specific notes, risks, and links to papers and notebooks. For developers and researchers who want a technical, research-grounded reference.
Anyone using AI tools daily; developers building on model APIs. This is an intermediate course in Prompt Engineering, running about Self-paced.
Free guide · paid courses on academy.dair.ai. Guide is free; companion paid courses (e.g. Prompt Engineering for LLMs, Building Effective AI Agents) sold separately.
Isa Fulford (OpenAI) and Andrew Ng teach two core prompting principles plus summarizing, inferring, transforming, and expanding text via the OpenAI API in Jupyter notebooks. The classic starting point for developers who want to prompt LLMs systematically rather than by trial and error.
Dr. Jules White teaches reusable prompt patterns (persona, template, few-shot, chain-of-thought, and more) so anyone can get reliable results from ChatGPT without coding. One of the most popular prompting courses for students, writers, and knowledge workers.
A comprehensive, open-source written course covering prompting basics, research-backed techniques, reliability, image prompting, prompt hacking, and tooling, written for non-technical readers. Use it as a free reference-style curriculum you can dip into as needed.