Introduction to Generative AI and Prompt Engineering

Generative artificial intelligence is reshaping how we work, write, and solve problems across every industry. Understanding how these powerful models function is no longer just for computer scientists—it is a vital skill for anyone looking to stay competitive in a modern digital landscape. This text-based course guides you through the foundational concepts of generative AI, large language models, and modern prompt engineering. By reading our structured explanations, you will transition from a curious observer to a confident practitioner who understands how to leverage AI tools effectively, safely, and responsibly. What you'll learn: - Understand the core differences between traditional machine learning and generative AI - Explore how large language models are trained and how they generate text and content - Practice basic prompt engineering techniques to get precise, high-quality outputs - Learn the foundational concepts of retrieval-augmented generation (RAG) and vector databases - Identify ethical considerations, bias, and common limitations of AI models - Discover practical use cases for generative tools in daily workflows and business tasks The course starts with essential terminology and the basic mechanics of artificial intelligence before moving into practical prompt design and modern AI system architectures. You will read real-world scenarios and analyze written examples to build a strong conceptual foundation. Designed specifically for beginners, this course requires no prior programming experience, technical background, or mathematics training. Begin reading today to build your foundational knowledge of generative AI.