Fundamentals of Prompt Engineering for Generative AI

Many people use modern AI tools but struggle to get consistent, high-quality results. Prompt engineering is the critical skill that bridges the gap between simple commands and powerful, repeatable AI outputs. This course provides the foundational knowledge and practical techniques required to communicate effectively with generative models. You will move past simple commands and learn how to structure prompts for complex, repeatable outcomes across text and image generation. What you'll learn: * Understand the core mechanics, terminology, and limitations of modern large generative models. * Master foundational prompt structures, including zero-shot, few-shot, and effective role-playing techniques. * Apply advanced strategies like Chain-of-Thought (CoT) prompting to improve reasoning and accuracy in complex tasks. * Practice refining and iterating on prompts using systematic testing and self-correction techniques. * Configure context and constraints effectively to steer model behavior and mitigate common issues like hallucination. * Learn how to break down complex goals into a series of actionable, targeted prompts. The course begins with essential terminology and the basic architecture of generative AI. It then transitions into practical, step-by-step guidance on writing, testing, and optimizing prompts for various tasks, ensuring you grasp the underlying principles. This course is designed for absolute beginners who want to start using AI tools effectively. No prior knowledge of programming or neural networks is required. Start mastering the skill of communicating with AI today.