According to @AndrewYNg, a new course titled 'Nvidia's NeMo Agent Toolkit: Making Agents Reliable' taught by @Pr_Brian from @NVIDIA addresses a major challenge in the AI industry: turning agent demos into robust, production-ready systems. The course demonstrates how Nvidia's open-source NeMo Agent Toolkit (NAT) enables teams to enhance agentic workflows, regardless of whether agents are built in raw Python, LangGraph, or CrewAI. NAT offers essential modules for observability, evaluation, and deployment, supporting execution trace visualization, systematic performance evaluations, and CI/CD integration. These features streamline the transition from proof-of-concept to reliable production deployment, opening new business opportunities for AI developers and enterprises striving for scalable and dependable agent-based applications (source: @AndrewYNg, Dec 18, 2025).