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Learn more: https://bit.ly/48XQSVk Many teams can build an impressive agent demo, but struggle to turn it into a system that’s observable, measurable, and reliable in production. Our new short course, Nvidia’s NeMo Agent Toolkit: Making Agents Reliable, shows you how to harden your agentic workflows using Nvidia’s open-source NeMo Agent Toolkit (NAT). Taught by Brian McBrayer, Solutions Architect in Generative AI at Nvidia. In this course, you’ll learn to: - Add observability with OpenTelemetry and Phoenix tracing to inspect agent reasoning and tool selection. - Run systematic evaluations to catch bugs, measure improvements, and support CI/CD. - Deploy with production features like authentication, caching, and rate limiting. - Orchestrate multi-agent workflows that combine NAT agents with LangGraph, CrewAI, or custom Python agents. - Build configuration-driven workflows (via YAML) and serve them as HTTP/WebSocket APIs or NAT UI. You’ll apply these skills by building a climate data analysis agent, then scaling it into a multi-agent workflow with professional-grade deployment. Enroll now: https://bit.ly/48XQSVk
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