Secure Autonomous Agents with NVIDIA NeMo Claw

Part of Global AI Builder Series: by The Gen Academy

Hosted by Aishwarya Srinivasan & Arvind Narayan and Jay Rodge

Thu, Aug 27, 2026

5:00 PM UTC (1 hour)

Virtual (Zoom)

Free to join

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Building a career in AI as a non-coder
Aishwarya Srinivasan
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What you'll learn

Understand agent harnesses

Learn why autonomous agents are more than a model: context, tools, memory, orchestration, and security.

Add secure sandboxes

See how NeMo Claw and OpenShell restrict file, network, tool, and API access for safer agents.

Observe and unify pipelines

Use NeMo Relay and Agent Toolkit to add tracing, evals, routing, and framework interoperability.

Launch with Nemotron models

Try NVIDIA build APIs, Brev launchables, and Nemotron models for agent experiments and demos.

Why this topic matters

Autonomous agents are useful because they can take actions, call tools, and run long workflows, but that same power creates enterprise risk. Jay's session shows builders how to keep model and harness choice while adding sandboxing, guardrails, observability, evaluation, and deployment paths so agents can move from demos to controlled production systems.

You'll learn from

Aishwarya Srinivasan & Arvind Narayan

AI Engineers | Building & Teaching @ The Gen Academy

Aishwarya Srinivasan is the co-founder of The Gen Academy and one of the world's most recognized AI educators, with a community of over 1.2 million AI professionals across social platforms. Previously, she led AI Developer Relations at Fireworks AI and spent over a decade building AI products and ecosystems at Google, Microsoft, and IBM. She holds a Master's in Data Science from Columbia University. Known for breaking down complex AI concepts with clarity and honesty, Aishwarya teaches builders how to move beyond demos and develop production-ready AI systems that solve real business problems.


Arvind Narayanamurthy is the Co-founder of The Gen Academy, Previously AI Solutions Architect at Ema, and Founder of Eikos Health. He has built and deployed enterprise AI systems across Microsoft, IBM, Adobe, and high-growth startups, leading initiatives that translated machine learning into measurable business impact. Arvind holds a Master's degree from Carnegie Mellon University. His teaching focuses on first-principles thinking, practical engineering, and helping builders design, evaluate, and deploy reliable AI systems for production.

Jay Rodge

Senior Developer Advocate for LLMs @ NVIDIA

Jay Rodge is a Senior Developer Advocate for LLMs at NVIDIA, where he helps developers use GPU acceleration, tools, and frameworks in LLM workflows. He previously led product marketing for NVIDIA data science and deep learning products and holds a master's in computer science from Illinois Tech.


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