Mar 12
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Learn the foundations for understanding, improving, and confidently deploying AI agents. Get practical steps on how to debug non-deterministic agent behavior, iterate on performance, and ship reliably across any frameworks and models. What you’ll learn: - How to get end-to-end visibility into agent behavior with tracing for each agent step, tool calls, conversation, latency, error, and token count. - Practical ways to debug and improve agents using production traces, insights, and iterative prompt/tool refinement. - How to set up evaluations (datasets, experiments, and subject matter expert annotations) to measure quality and prevent regressions.