Introduction to Generative AI and Prompting Fundamentals

Generative artificial intelligence is transforming how we work, solve problems, and create content across every industry. To navigate this rapidly evolving landscape, you need a clear understanding of the core concepts, technologies, and practical applications that drive modern AI. This text-based course takes you from absolute beginner to a confident, AI-literate professional. You will start by mastering foundational terminology and exploring the history of generative models, before moving on to how these systems process language, why they sometimes make mistakes, and how to guide them effectively. What you'll learn: - Understand the core differences between traditional machine learning and generative AI models. - Explore how large language models process text, predict next words, and manage structural limitations like hallucinations. - Apply foundational prompt engineering techniques to get accurate, high-quality outputs from AI systems. - Learn the basic concepts of retrieval-augmented generation (RAG) and how external data enhances AI performance. - Identify real-world business use cases and ethical considerations for responsible AI adoption. You will progress through structured written lessons starting with historical context and basic architecture, moving into hands-on conceptual exercises on prompting and system design. This course is designed for beginners of all backgrounds, requiring no prior programming knowledge or technical experience. Begin your journey into the world of generative AI and unlock new professional possibilities today.