Foundations of Generative AI and Large Language Models

Generative AI is transforming how we create content and solve problems, but understanding the technology behind the buzz is essential for any modern professional. This course provides a clear path from basic definitions to practical application, enabling you to navigate the landscape of large language models with confidence. By reading through these comprehensive lessons, you will gain a functional understanding of how modern AI systems generate text, code, and ideas. You will move beyond simple chat interfaces to understand the underlying mechanisms that make these tools work. What you'll learn: - Define generative AI and its role within the broader field of artificial intelligence - Distinguish between traditional machine learning and modern generative approaches - Understand the architecture of Large Language Models and how they process information - Apply prompt engineering techniques to achieve more accurate and useful AI outputs - Explore the basics of Retrieval-Augmented Generation (RAG) for grounding AI responses - Identify ethical considerations and best practices for responsible AI usage The journey begins with essential terminology and foundational concepts before moving into the mechanics of model training and practical interaction strategies. This course is designed for beginners with no prior technical background who want to build a solid conceptual foundation in AI. Start building your AI literacy today through this structured text-based program.