Foundations of Generative AI and Prompt Engineering

Generative artificial intelligence is reshaping how we work, create, and solve problems, yet understanding how it actually functions can feel overwhelming. This course demystifies the technology, breaking down complex concepts into clear, accessible written explanations. You will transition from a curious observer to a knowledgeable practitioner who understands how generative models work under the hood. You will learn to distinguish these systems from traditional machine learning and discover how to write effective prompts to get the best results from modern AI tools. What you'll learn: - Understand the foundational concepts of generative AI and how neural networks generate new content - Differentiate between traditional machine learning, deep learning, and generative AI approaches - Explore the mechanics of Large Language Models (LLMs) and how they process text - Practice fundamental prompt engineering techniques to guide AI outputs effectively - Learn the basics of Retrieval-Augmented Generation (RAG) and how external data enhances AI responses - Recognize the ethical considerations, limitations, and responsible use guidelines for generative technologies The course begins with essential definitions and core concepts, building a solid theoretical foundation before moving into practical prompt engineering strategies and modern application patterns. You will read real-world scenarios and complete written exercises designed to reinforce your conceptual understanding. This course is designed entirely for beginners with no prior programming, mathematics, or computer science background required. Start your journey into the world of artificial intelligence today and build a future-ready skillset.