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  "text": "New course: Nvidia's NeMo Agent Toolkit: Making Agents Reliable, taught by @Pr_Brian from @NVIDIA.\n\nMany teams struggle to turn agent demos into reliable systems that are ready for production. This short course teaches you to harden agentic workflows into reliable systems using Nvidia's open-source NeMo Agent Toolkit (NAT). Whether you built your agent in raw Python or using a framework like LangGraph, or CrewAI, NAT provides building blocks for observability, evaluation, and deployment that turn proofs-of-concept into production-ready systems.\n\nNAT makes it easy to troubleshoot and optimize agent performance with execution traces, systematic evaluations, and CI/CD integration.\n\nSkills you'll gain:\n- Build configuration-driven agent workflows with REST APIs and minimal code\n- Add observability with tracing to visualize agent reasoning and debug performance bottlenecks\n- Create systematic evaluations using gold-standard datasets to measure and improve agent reliability\n- Deploy multi-agent systems with authentication, rate limiting, and professional web interfaces\n- Orchestrate agents from different frameworks to collaborate on complex tasks\n\nJoin and learn how to turn agent demos into reliable systems!\nhttps://t.co/9rBcBteq4b",
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