Developing Generative AI Solutions

This course provides a comprehensive introduction to developing generative AI solutions. It covers the entire lifecycle of generative AI applications, from defining business use cases to deploying models and assessing their impact on business objectives. Students will learn about selecting appropriate foundation models, improving their performance, and evaluating their effectiveness. The course serves as a primer for more advanced topics in generative AI, preparing learners for deeper exploration of concepts like prompt engineering, Retrieval Augmented Generation (RAG), and fine-tuning. By the end of the course, participants will have a solid understanding of the key components and considerations involved in creating practical generative AI solutions.