GRAD 5300: Foundations of Artificial Intelligence

This online course introduces foundational concepts in artificial intelligence and examines how AI approaches, including generative AI and Large Language Models (LLMs), can be applied in practice. The course will delve into the core mechanisms of AI systems, focusing on Large Language Models (LLMs), machine learning, deep learning, reasoning, and ethics. Participants will explore foundational and applied techniques, including prompt engineering, concepts related to retrieval augmented generation (RAG), agentic systems, and model customization, as well as the ethical governance of AI technologies. The curriculum balances conceptual frameworks with hands-on exercises, enabling participants to apply AI approaches and tools to real-world challenges effectively. By demystifying the complexities of modern AI systems, this course aims to empower learners to develop and evaluate AI-enabled solutions and navigate the evolving landscape of artificial intelligence with confidence.

Credits

3

Offered

Spring 2027

Campuses

Storrs

Spring 2027 sections

Taught by David Bergman.

Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.

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