According to @DeepLearningAI, a new course developed in partnership with Nvidia demonstrates how to improve the reliability of AI agents using the NeMo Agent Toolkit. The course, taught by Brian McBrayer (@Pr_Brian), focuses on addressing common agent demo failures such as unclear tool traces, silent errors, and unintended side effects from code changes. Practical modules cover leveraging OpenTelemetry tracing to pinpoint hidden issues, running automated evaluations to expose brittle reasoning, and deploying workflows that incorporate authentication and rate limiting for consistent behavior in real-world environments. This initiative directly targets the growing demand for robust AI agent applications in production settings, offering business leaders and developers actionable strategies to enhance agent reliability. (Source: @DeepLearningAI, https://twitter.com/DeepLearningAI/status/2001329113622073611)