Course Overview

AI Agent Observability & Reliability

Engineering for the unpredictable: Deep tracing and failure suppression in autonomous systems.

We move past raw telemetry to the oversight of reasoning. This course develops your ability to trace agents at the session and goal level, installing the design principles required to mitigate structural failure.

When you complete this course, you'll be able to:

  • Master the distinction between session-level telemetry and goal-level tracing.
  • Instrument reasoning chains using OpenTelemetry to follow intent through a multi-step loop.
  • Build an evaluation rig that uses model-graded metrics to establish quality baselines.

Duration

~4.5 hours

Modules

3 modules

Level

professional

Format

Self-paced online

Audience

Technical leads and architects who need to build systems that remain stable under real-world autonomy.

Access period

12 months

$199

Full course · One-time payment · 12 months access

Tax included · Price shown in your local currency at checkout.

Buy Course - $199

Registration required to purchase.

Already enrolled? Log in to access →

  • All 3 modules · access on any device
  • Progress tracking
  • 12 months access from purchase
  • Master the distinction between session-level telemetry and goal-level tracing.
  • Instrument reasoning chains using OpenTelemetry to follow intent through a multi-step loop.
  • Build an evaluation rig that uses model-graded metrics to establish quality baselines.
  • Design "circuit breakers" that trigger on semantic drift rather than just technical errors.
1

Developing Agentic Sight

Learning to follow the thread of reasoning through a multi-step execution.

Available 3 lessons 75 mins
2

The Evaluation of Intelligence

How to build an evaluation rig that moves beyond simple pass/fail metrics.

Coming Soon 75 mins
3

Failure Suppression & Circuit Breakers

Engineering the systems that prevent goal drift and cascading errors.

Coming Soon 75 mins