Introduction to Generative AI: Foundational Concepts and Applications

Generative AI is transforming how we work, communicate, and solve problems, yet the underlying technology can often feel like a black box. This course demystifies the field, giving you a clear, conceptual understanding of how these powerful systems operate. Through clear written explanations and practical text-based exercises, you will transition from a curious observer to a confident user of generative technologies. You will learn to navigate the terminology, understand the mechanics of large language models, and apply this knowledge to your daily workflows. What you'll learn: Define generative AI and distinguish it from traditional machine learning methods; Understand the fundamental mechanics of large language models and neural networks; Apply basic prompt engineering techniques to achieve accurate and useful outputs; Explore the concepts of model fine-tuning and retrieval-augmented generation (RAG); Analyze the ethical considerations, limitations, and responsible use of AI systems. The course begins with foundational definitions and key terminology before guiding you through the mechanics of modern language models and practical strategies for prompting. You will progress from core theory to real-world application through structured reading and self-reflection exercises. This course is designed specifically for beginners with no prior programming or technical background. Start reading today to build a strong foundation in the technology shaping our future.