Seminar: Agentic AI Essentials

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• 3 Credit Hours

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Course Name: Seminar: Agentic AI Essentials
Current Code: CS-8001-OAA
Credit Hours: 3 credits
Available To: OMSCS
Description: Agentic AI marks the next evolution beyond traditional chatbots and LLM-based assistants, enabling AI systems to reason, plan, act, and learn autonomously. Unlike standard LLMs that passively respond to inputs, Agentic AI follows a four-step process: it perceives information from multiple sources, reasons through complex tasks, executes plans, and improves through feedback. This seminar is organized as a series of modules, each consisting of lectures, notebooks, write-ups, and discussions. It is designed for learners interested in exploring agentic AI; no prior deep learning experience required. Students will gain hands-on experience in prompt engineering, large language models (LLMs), retrieval-augmented generation (RAG), and ReAct (Reasoning and Acting) frameworks to build interactive, scalable AI solutions using pre-trained models. The seminar also includes optional, ungraded, instructor-led synchronous workshops, sponsored by NVIDIA DLI. These workshops offer cloud GPU access for deeper hands-on practice and provide opportunities to earn NVIDIA certificates of competency upon successful completion of each workshop in the series.

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