Prompt Engineering: Masterclass

This 4-week Masterclass is the #1 Prompt Engineering course designed for GenAI developers, product managers, and technical leads looking to master the art and science of crafting effective prompts. You'll begin by exploring what prompts and prompt engineering truly are, dissecting their five-part anatomy: directives, roles, context, formatting, and examples and end the course with advanced applications of prompting including tool use and agents.

The course goes deep into cognitive prompting strategies like Chain-of-Thought and Step-Back prompting alongside decomposition methods such as Tree-of-Thought and Plan-and-Solve. Through weekly projects, you'll implement these strategies in real-world scenarios while also exploring AI self-improvement through Self-Refine techniques and ensemble methods like Self-Consistency that generate multiple solution paths. You'll master advanced techniques like RaR (Retrieve and Refine) and RE2 (Reasoning Enhancement), learning exactly when to apply each method for optimal results. Our interactive sessions will challenge you to analyze why certain prompts succeed while others fail, building intuition that transfers across different AI systems.

You'll build a full-stack application powered by AI using LangChain and DSPy frameworks to create sophisticated prompt chains and optimization pipelines. These practical sessions teach you to manage context windows effectively and navigate technical limitations of current models. Throughout the course, we'll address crucial ethical considerations including red-teaming, prompt injection vulnerabilities, and bias mitigation strategies, while exploring evaluation frameworks to measure prompt effectiveness across languages and modalities.

I'm Sander Schulhoff, the Founder of Learn Prompting. In October 2022, I published the 1st Prompt Engineering Guide on the Internet—two months before ChatGPT was released. Since then, my courses have trained over 3 million people, and I'm one of only two people (other than Andrew Ng) to partner with OpenAI on a ChatGPT course. I've also led Prompt Engineering workshops at OpenAI, Microsoft, Stanford, Deloitte, and Dropbox. I'm an award-winning Generative AI researcher from the University of Maryland and the youngest recipient of the Best Paper Award at EMNLP 2023, the leading NLP Conference, selected out of 20,000 submitted research papers from PhDs around the world. I've co-authored research with OpenAI, Scale AI, Hugging Face, Stanford, the U.S. Federal Reserve, and Microsoft. I also created HackAPrompt, the first and largest Generative AI Red Teaming competition. Most recently, I led a team from OpenAI, Microsoft, Google, and Stanford on The Prompt Report—the most comprehensive study on Prompt Engineering to date. This 76-page survey analyzed over 1,500 academic papers, evaluating the effectiveness of prompting techniques, AI agents, and Generative AI applications.

Interested in an enterprise license so your whole team or company can take the course? Please reach out directly to [email protected]