03 — Curriculum
Course content
4 sections · 10 lectures
ADaSci Academy
Debugging Non-Deterministic Agentic Systems
Modern AI agents fail silently. This course teaches you how to instrument, trace, and monitor agentic systems using distributed telemetry, structured tracing, and AI-native evaluation tools. Move beyond logs and build ob…
7,581+ enrolled
3 hours
Intermediate
01 — Overview
About this course
Modern AI agents fail silently. This course teaches you how to instrument, trace, and monitor agentic systems using distributed telemetry, structured tracing, and AI-native evaluation tools. Move beyond logs and build observable, debuggable, production-ready AI systems with real-world demonstrations.
02 — Outcomes
What you'll learn
✓
Why traditional debugging fails for agentic systems✓
How to instrument LLM agents with structured telemetry✓
Designing trace pipelines using OpenTelemetry & Prometheus✓
Debugging silent failures like hallucinations and infinite replans✓
Using LangSmith for live tracing, evaluation, and reasoning inspection04 — Prerequisites
Requirements
- Basic understanding of Python
- Familiarity with LLMs (OpenAI / LangChain basics)
- Understanding of APIs and system architecture
- Interest in AI engineering or production AI systems
05 — Audience
Who should take this course
- AI Engineers building LLM applications Backend / Platform
- Engineers moving into AI systems
- MLOps / Observability Engineers
- Technical Architects designing agentic workflows
- Developers deploying RAG or multi-agent systems
$49.00
Member Pricing
FREE with Premium
50% off with General
Duration3h
LevelIntermediate
$49.00