Introduction to Large Language Models

Large Language Models are reshaping how we interact with technology, automate tasks, and build intelligent applications. Understanding how these models work is no longer just for machine learning researchers—it is a foundational skill for anyone working in tech today. This course guides you through the core concepts of LLMs from the ground up. You will understand how these models are trained, how they process language, and how to effectively integrate them into your workflows using modern techniques. What you'll learn: 1. Understand the foundational architecture and training processes behind modern Large Language Models. 2. Explore diverse real-world use cases, from text generation and summarization to code assistance. 3. Apply basic prompt engineering techniques to guide model outputs effectively. 4. Learn the fundamentals of Retrieval-Augmented Generation (RAG) to connect models with external data. 5. Identify key ethical considerations, bias mitigation, and safety guardrails in AI deployment. 6. Discover how to evaluate and select the right model for your specific project needs. Starting with essential AI terminology and foundational concepts, this text-based course takes you step-by-step through practical applications and modern optimization strategies. It is designed for absolute beginners, requiring no prior programming experience or advanced mathematics. Start reading today to build a strong foundation in the world of generative AI.