Foundations of Generative AI and Prompt Engineering

Generative AI is transforming how we work, yet many struggle to get consistent, high-quality results from these powerful systems. Understanding the underlying mechanics of how large language models interpret instructions is the key to unlocking their true potential. This comprehensive text-only course guides you from the absolute basics of artificial intelligence to structured prompting frameworks. By learning how these models process information, you will transition from guessing what to type to systematically designing prompts that yield predictable, accurate, and professional outputs. What you'll learn: - Understand foundational generative AI concepts, architectures, and key terminology - Apply structured prompting frameworks to control tone, format, and accuracy - Learn modern techniques like few-shot prompting, chain-of-thought, and system instructions - Explore retrieval-augmented generation concepts and how models access external data - Practice writing clear, unambiguous prompts to minimize hallucinations and bias - Design reusable prompt templates for common professional workflows The curriculum begins with essential terminology and the mechanics of language models before moving into hands-on prompt design patterns and real-world application scenarios. You will read through clear explanations, analyze effective text examples, and practice drafting your own prompts. This course is designed specifically for beginners, with no programming experience or technical background required. Start reading today to build a solid foundation in generative AI and master the art of prompt engineering.