Context-Augmented Generative AI Applications

3 credits · Graduate School

This course explores techniques for leveraging generative AI to build real-world LLM-based solutions. Students will gain a deep understanding of foundational AI approaches, including the varieties of retrieval augmented generation, agent-based systems, and model fine-tuning. Through practical implementation of various AI solutions, students will learn to evaluate and select the most appropriate methods to enhance system performance based on specific client demands. By the end of the course, students will be equipped to effectively apply generative AI in practical settings, with an emphasis on operationalizing and monitoring LLM applications requiring proprietary data. [3]