Staging environment
Free Lesson

LLMOps Patterns for Robust Agentic Systems Development

45 min
Jan 9, 2026 11:00 AM
Virtual (Zoom)

In this video

What you'll learn

Design observable and debuggable agentic systems

Learn the importance and fundamentals of tracing, state management and decision logging patterns.

Make your agentic systems robust and stable

Learn the key failure modes of agentic systems and LLMOps patterns that help prevent costly disasters in production.

Build evaluation and cost controls into agents

Learn when evaluating agentic systems adds real value and when it is an unnecessary cost.

Why this topic matters

Agentic systems fail not because models are weak, but because they lack control, observability and constraints. This topic matters because production agents must be predictable, debuggable, and cost-aware. Understanding LLMOps patterns is what turns experimental agents into systems teams can safely deploy and operate.

You'll learn from

Aurimas Griciūnas

Aurimas Griciūnas

Founder & CEO @ SwirlAI | Former CPO @ Neptune.ai (acquired by OpenAI)

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