Building AI-Native Products

Deploy Reliable AI Systems with LLMOps

Hosted by Aurimas Griciunas

Thu, Jun 5, 2025

3:00 PM UTC (1 hour)

Virtual (Zoom)

Free to join

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Go deeper with a course

End-to-End AI Engineering Bootcamp
Aurimas Griciūnas
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What you'll learn

What Is LLMOps

Learn what LLMOps is and why it’s essential for production-ready LLM applications.

Build Observability into AI Systems

Learn how to evaluate and monitor LLM-based systems to detect failures before they reach users.

Build Your Roadmap

Create a clear step-by-step LLMOps plan that fits your team’s tools, workflows, and stage of AI adoption.

Why this topic matters

LLMOps is essential because production AI systems often fail silently without robust ops practices. Learning LLMOps gives you the skills to build scalable, reliable, observable AI solutions - setting you apart professionally and positioning you for senior AI engineering roles.

You'll learn from

Aurimas Griciunas

LinkedIn Top Voice in AI • Founder & CEO @ SwirlAI • Former CPO @ Neptune.ai

Aurimas Griciūnas is a recognized AI expert, LinkedIn Top Voice in AI, and the founder of SwirlAI. He previously served as Chief Product Officer at Neptune.ai where he worked closely with top ML teams to scale infrastructure, evaluation, and LLMOps practices across industries. With over a decade of experience at the intersection of data science, machine learning, and software engineering, Aurimas has led AI initiatives in both startups and enterprise environments. His mission is to bridge the gap between hype and reality by teaching engineers how to build systems that work in the real world. Students will benefit from his hands-on knowledge, technical depth, and product-first mindset - gained by solving actual engineering problems.

Learn directly from Aurimas Griciunas

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