Prompt Engineering Course

Due to high demand, we've partnered with Maven to deliver a new cohort-based course on Prompt Engineering for LLMs (opens in a new tab).

Elvis Saravia (opens in a new tab), who has worked at companies like Meta AI and Elastic, and has years of experience in AI and LLMs, will be the instructor for this course.

This technical, hands-on course will cover prompt engineering techniques/tools, use cases, exercises, and projects for effectively working and building with large language models (LLMs).

Topics we provide training on:

• Taxonomy of Prompting Techniques
• Tactics to Improve Reliability
• Structuring LLM Outputs
• Zero-shot Prompting
• Few-shot In-Context Learning
• Chain of Thought Prompting
• Self-Reflection & Self-Consistency
• ReAcT
• Retrieval Augmented Generation
• Fine-Tuning & RLHF
• Function Calling
• AI Safety & Moderation
• LLM-Powered Agents
• LLM Evaluation
• Adversarial Prompting (Jailbreaking and Prompt Injections)
• Judge LLMs
• Common Real-World Use Cases of LLMs

Our past learners range from software engineers to AI researchers and practitioners in organizations like Microsoft, Google, Apple, Airbnb, LinkedIn, Amazon, JPMorgan Chase & Co., Asana, Intuit, Fidelity Investments, Coinbase, Guru, and many others.