MLOps Engineering at Scale

​Join us for a deep dive into MLOps — the practice of deploying, managing, and scaling machine learning models in production. We'll explore practical workflows, tools, and real-world challenges, including why monitoring ML systems is still one of the hardest parts.

​Agenda:

• ​MLOps-ing

• ​How it works

• ​MLOps standards and challenges

• ​Review some approaches and tools

• ​ML Monitoring – Why it is a challenge

​Speaker: Julia Shavkatsishvili, MLOps Engineer at TBC

​Language: Georgian