

How to Bring AI Projects Out of Chaos: An Introduction to MLOps and LLMOps
Building an AI model is only half the story. The real challenges begin when the model needs to be deployed to production — reliably, securely, and at scale. In many teams, things technically work, but the processes are manual, the infrastructure is fragile, and every model update turns into a stressful and risky operation.
That’s where MLOps and LLMOps come into play — modern approaches to training, deploying, updating, and monitoring machine learning and large language models. They help establish robust processes around AI development, eliminate chaos, and significantly accelerate the delivery of AI solutions.
During the webinar, we’ll talk about:
What the lifecycle of ML and LLM projects actually looks like
Where chaos usually begins — and how to deal with it
What tools, roles, and practices shape the foundation of MLOps and LLMOps
What the MLOps/LLMOps maturity model is — and how to start your transformation
This webinar will be useful for:
Technical leaders and executives who are building teams around AI solutions and want to understand what kind of AI infrastructure and processes are needed to avoid chaos as team size and workload grow
DevOps engineers who want to expand their skills into the ML space and learn how to support infrastructure for ML and LLM models
Data scientists and ML engineers looking to implement MLOps practices and build their own AI infrastructure
Speaker:
Dmytro Spodarets — DevOps/MLOps Architect at Grid Dynamics, founder of the media and education platform Data Phoenix, and an active member of the San Francisco Bay Area AI community.
He has over 15 years of experience in the tech industry and works with companies of all sizes — from startups to Fortune 500 enterprises. Dmytro specializes in cloud solutions and building infrastructure for AI projects. With deep expertise in DevOps, MLOps, and LLMOps, he helps organizations design scalable, reliable, and efficient AI infrastructure. He frequently speaks at conferences, hosts webinars, interviews industry experts, and shares hands-on knowledge with the community.