Virtual training to equip you with essential insights and tools to advance your agentic AI expertise.
This virtual learning series offers a hands-on journey through NVIDIA’s agentic AI innovations. Whether you’re a student, professor, researcher, or early career developer, these sessions will equip you with the essential tools and insights to master the next step in AI evolution. The program moves beyond traditional chatbots to explore the design and deployment of autonomous, goal-driven agents known as “claws.”
Participants can expect technical deep dives into building agents that can plan, reason, and act. These sessions cover everything from creating personalized academic planners and system-aware research assistants to orchestrating collaborative multi-agent teams. Utilizing the NVIDIA® NemoClaw™ and OpenShell™ software stack, the series provides practical guidance on integrating agents with academic datasets and course materials to enhance research productivity and classroom workflows. While an NVIDIA DGX Spark™ is strongly recommended to fully replicate the hands-on projects, no specialized hardware is required to follow along with the Virtual Learning Series.
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9 - 10 a.m. CEST
9 - 10 a.m. PT
Learn why agentic is the next big step. We move from AI that just answers questions to autonomous, long-running agents or claws that perform specialized tasks and execute complex plans. Learn how to stop an AI from just “guessing” and teach it to plan. We’ll show you how to give an AI a goal (e.g., “Plan my week”) and let it figure out the steps itself.
Pre-watch/pre-read:
Speakers: Natasha Anisimova - Sr. Solutions Architect, NVIDIA
9 - 10 a.m. CEST
9 - 10 a.m. PT
Now that your claw can plan, the next step is enabling it to act. We’ll explore how to connect an AI agent’s reasoning (“brain”) to practical action (“hand”). You’ll learn how to safely give a claw access to a secure terminal environment, allowing it to create files, move data, and run scripts without you having to copy-paste code manually.
Pre-read:
Speakers: Sama Bali, Sr. Product Marketing Manager, AI Solutions, NVIDIA
9 - 10 a.m. CEST
9 - 10 a.m. PT
Learn how to transition from interactive sessions to a persistent, background ecosystem of specialized agents. We’ll explore how to build always-on claws that live on your system, monitoring your workspace in real time and collaborating autonomously to handle complex workflows.
Pre-read/watch:
Speakers: Basil Fateen, Head of Startups and VC Ecosystem, MENAT
9 - 10 a.m. CEST
9 - 10 a.m. PT
Apply agentic AI to real classroom workflows by building a persistent course assistant that helps students understand materials and reduces repetitive questions for instructors. In this session, learn how to give an AI agent/ claw access to course content so it can read, understand, and answer questions about the class.
Instead of a generic chatbot, you’ll create an agent with claws that understands the specific context of a course— syllabus, lecture materials, and policies—so it can provide accurate responses and summaries.
Speakers: Zenodia Charpy, Sr. Deep Learning Data Scientist, EMEA NVIDIA AI Technology Center (NVAITC)
Syed Hussaini, Hardware Design Engineer, NVIDIA