Generative AI Fundamentals with Self-Assessment Quizzes

Generative artificial intelligence is transforming how we work, create, and solve problems, but keeping up with the core concepts can feel overwhelming. This text-based course breaks down the essential terminology and mechanics of modern AI models in an accessible, step-by-step format.\n\nYou will transition from a curious observer to a knowledgeable practitioner who understands how large language models function, how to structure effective prompts, and how to evaluate AI-driven solutions.\n\nWhat you'll learn:\n- Understand the foundational mechanics of large language models and generative AI architecture\n- Apply structured prompt engineering techniques to get reliable, high-quality outputs\n- Explore modern retrieval-augmented generation (RAG) patterns and how they reduce model hallucinations\n- Identify the core limitations, biases, and ethical considerations of generative technologies\n- Evaluate your progress through comprehensive written self-assessment quizzes at the end of each section\n\nThe course begins with basic terminology, explaining neural network concepts and model training in plain English, before moving into practical prompting strategies and architectural patterns. You will wrap up your learning with written practice scenarios and quizzes designed to solidify your conceptual understanding.\n\nThis course is designed for absolute beginners, professionals looking to understand AI, and tech enthusiasts with no prior programming or computer science background.\n\nStart reading today to build a solid, future-proof foundation in generative AI.