Building LLM Powered Applications

This course provides a comprehensive introduction to building intelligent applications powered by large language models (LLMs). You'll explore foundational LLM concepts, architectural frameworks, and practical applications in real-world scenarios. By using leading LLM toolkits and frameworks, you'll gain hands-on experience in creating intelligent agents capable of handling both structured and unstructured data. The course emphasizes the integration of LangChain for orchestrating complex AI workflows and covers prompt engineering techniques essential for customizing and optimizing LLMs. What sets this course apart is its blend of theoretical learning and practical implementation, making it an ideal resource for those looking to implement LLMs in real-world applications. It ensures you can build LLM-powered applications from scratch while navigating the challenges of real-world scenarios, including ethical considerations. This course is suitable for software engineers, data scientists, and researchers who are keen on understanding the applied aspects of generative AI. No prior experience with LLMs is required, but a strong understanding of machine learning concepts will enhance your learning experience. Based on the book, Building LLM Powered Applications, by Valentina Alto.