[NALA - Virtual] AI Teaching Assistants

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

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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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Registration Required: Link