Uploaded March 2026 | Updated September 2026, 3 weeks ago
Agentic AI is evolving rapidly, shifting AI systems from passive responders to active systems that can plan, reason, and take action. In this session, we break down what agentic AI is, how the space has changed in the last year, and how both frontier models and open models are enabling a new class of AI applications.
You will learn the core components of agentic systems, where different model types fit, and practical ways to get started building agents today. This session is designed to give developers and technical leaders a clear mental model for agentic AI and a concrete path from experimentation to real applications.
Speaker: Erik Pounds, Sr. Director, Product Marketing, Enterprise AI, NVIDIA
Key Takeaways:
Understand what agentic AI is, and how it differs from traditional chat-based systems.
Learn how recent advances in frontier models and open models are accelerating agent development.
Explore the core building blocks of agentic systems, including planning, tool use, memory, and evaluation.
Identify common use cases where agentic AI delivers the most value today.
Get started with practical steps, patterns, and tools for building your first agentic AI application.
Industry: All Industries
Topic: Agentic AI / Generative AI - Retrieval-Augmented Generation (RAG)
Technical Level: Technical - Beginner
Intended Audience: Developer / Engineer
NVIDIA Technology: NeMo, NVIDIA NIM, Nemotron
#nvidiagtc
Agentic AI is evolving rapidly, shifting AI systems from passive responders to active systems that can plan, reason, and take action. In this session, we break down what agentic AI is, how the space has changed in the last year, and how both frontier models and open models are enabling a new class of AI applications.
You will learn the core components of agentic systems, where different model types fit, and practical ways to get started building agents today. This session is designed to give developers and technical leaders a clear mental model for agentic AI and a concrete path from experimentation to real applications.
Speaker: Erik Pounds, Sr. Director, Product Marketing, Enterprise AI, NVIDIA
Key Takeaways:
Understand what agentic AI is, and how it differs from traditional chat-based systems.
Learn how recent advances in frontier models and open models are accelerating agent development.
Explore the core building blocks of agentic systems, including planning, tool use, memory, and evaluation.
Identify common use cases where agentic AI delivers the most value today.
Get started with practical steps, patterns, and tools for building your first agentic AI application.
Industry: All Industries
Topic: Agentic AI / Generative AI - Retrieval-Augmented Generation (RAG)
Technical Level: Technical - Beginner
Intended Audience: Developer / Engineer
NVIDIA Technology: NeMo, NVIDIA NIM, Nemotron
#nvidiagtc
