Generative AI Development: Building with LLMs

Are you ready to harness the power of artificial intelligence but don't know where to start? Generative AI and Large Language Models (LLMs) are transforming how we interact with technology, and this course provides a clear path to building your own AI-powered applications. By the end of this course, you will have a solid understanding of Generative AI principles and the practical skills to develop functional applications that leverage the capabilities of LLMs. What you'll learn: * Understand the core concepts and fundamental principles of Generative AI and Large Language Models (LLMs). * Apply essential prompt engineering techniques to effectively guide LLM behavior and output. * Integrate LLMs into applications using common API patterns for practical development. * Build basic Generative AI applications with practical, step-by-step examples. * Learn foundational principles of Retrieval-Augmented Generation (RAG) to enhance LLM performance and context. * Practice evaluating and refining LLM outputs to achieve desired results and improve application quality. * Explore ethical considerations and best practices in Generative AI application development. This course begins by establishing a strong conceptual foundation in Generative AI and LLMs, then progressively introduces practical development techniques. You will learn by reading explanations, analyzing code snippets, and completing written exercises to solidify your understanding. This course is designed for absolute beginners with no prior experience in AI, machine learning, or advanced programming. A basic understanding of general programming concepts will be helpful but is not strictly required. Start your journey into Generative AI development today.