Introduction to Large Language Models (LLMs)

Large Language Models are transforming how we interact with technology, yet understanding how they actually work can feel overwhelming. This course demystifies the core architecture and practical applications of LLMs in a clear, accessible format. You will transition from a curious observer to a knowledgeable practitioner capable of explaining LLM fundamentals, designing effective prompts, and understanding how modern AI systems process human language. What you'll learn: Understand the fundamental architecture and history of Large Language Models; Identify key use cases, capabilities, and limitations of modern generative AI; Apply basic prompt engineering techniques to guide model outputs effectively; Explore modern architectures like Retrieval-Augmented Generation (RAG) and vector databases; Analyze ethical considerations, bias, and safety guidelines in AI deployment. The course begins with foundational definitions and key terminology before guiding you through practical prompt design and real-world implementation patterns. You will progress through structured text-based explanations and conceptual exercises designed to solidify your understanding. This course is designed for complete beginners, business professionals, and aspiring developers who want to build a solid theoretical foundation in AI without needing any prior programming experience. Start reading today to unlock the potential of large language models.