Anthropic · on GitHub
Anthropic's nine-chapter tutorial with exercises on prompt structure, roles, separating data from instructions, step-by-step thinking, few-shot examples, avoiding hallucinations, and building complex prompts. The definitive hands-on resource for anyone building with Claude.
Anyone using AI tools daily; developers building on model APIs. This is an intermediate course in Prompt Engineering, running about 9 chapters, self-paced.
Free. Running exercises requires a Claude API key (pay-as-you-go usage) or Amazon Bedrock; a Google Sheets version is also offered.
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.
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.