Prompt Engineering Mastery
Master the art and science of crafting effective prompts for AI models including zero-shot prompting, few-shot learning, chain-of-thought reasoning, system prompts, templates, output formatting, and advanced techniques.
Course Content (6 lessons)
Prompt engineering is the practice of crafting inputs to AI models to elicit desired outputs. While AI models are powerful, what you get back dep
Zero-shot prompting means asking the model to perform a task without providing examples. Modern language models are remarkably good at this due to their
Few-shot learning means providing one or more examples of the desired task before asking the model to perform it. This technique dramatically improves
Chain-of-thought (CoT) reasoning asks AI models to think through problems step-by-step before providing answers. This technique significant
While user prompts ask specific questions, system prompts set the overall context, personality, and behavior for an AI model throughout a conversation.
While single-use prompts are useful, templates create reusable prompts for recurring tasks. This lesson covers designing and using prompt templates effec