Generative AI Fundamentals and Prompt Engineering

Generative artificial intelligence is rapidly transforming how we work, write, and solve problems, but getting reliable results requires understanding how these models actually think. This course provides a clear, text-based introduction to the foundational principles of generative models and the practical strategies needed to guide them. By completing this course, you will transition from a curious observer to a confident user of generative AI, capable of crafting precise prompts and understanding modern AI architecture. What you'll learn: - Understand the core terminology and foundational mechanisms of large language models. - Apply essential prompt engineering techniques to generate high-quality text and code. - Explore modern retrieval-augmented generation (RAG) concepts and vector database basics. - Implement structured prompt patterns to control output format, tone, and style. - Identify and mitigate common AI limitations, including hallucinations and bias. - Practice evaluating AI outputs through written self-assessment exercises and quizzes. You will begin by learning key definitions and the history of modern AI before moving step-by-step through practical prompting frameworks and real-world application scenarios. This course is designed specifically for beginners with no prior technical or programming background who want to build a solid foundation in modern AI. Start reading today to unlock the potential of generative AI in your daily workflow.