Getting Started with Llama 3 and Large Language Models

Large language models are transforming how we build software and interact with data, but understanding how they function is key to leveraging their full potential. This text-based course guides you through the inner workings of Llama 3, demystifying the technology behind modern conversational AI.\n\nBy reading through our clear explanations and structured examples, you will transition from a curious beginner to a confident practitioner who understands model architecture, prompt design, and the basics of integrating these models into applications.\n\nWhat you'll learn:\n- Understand the core architecture and foundational concepts of Llama 3 and large language models\n- Practice basic and advanced prompt engineering techniques to get optimal model responses\n- Explore retrieval-augmented generation (RAG) patterns to connect models to external data sources\n- Learn the fundamentals of local deployment and running open-weights models on your own hardware\n- Discover how to evaluate model outputs and understand the basics of fine-tuning concepts\n\nThe course begins with essential AI terminology and foundational definitions before moving into prompt workflows and modern integration patterns. You will progress systematically from basic theory to practical application architecture, learning through clear written guides.\n\nThis course is designed for beginners, developers, and tech enthusiasts who want a solid foundation in large language models without needing prior machine learning experience.\n\nStart reading today to unlock the potential of open-weights language models.