Introduction to Generative AI for Industry Applications

Combines foundational theory with hands-on practice, covering fine-tuning, RAG systems, synthetic data, graph networks, multi-agentic frameworks, ethical considerations, and real-world deployment for industry applications. With the fast moving pace of innovation in generative AI, this course is constantly updated to reflect the state of the art as the lead professor is the Vice President of Data Science at AT&T: Dr. Mark Austin.

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Fine-Tuning, Retrieval-Augmented Generation (RAG), Synthetic Data, Graph Neural Networks, Multi-Agent Systems, AI Ethics, Deployment Strategies

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