- Duration: 6 live sessions start coming soon
- Price: early birds €650 (full price €800)
* Get reimbursed by your employer
You already know how to apply general tools like Docker and Kubernetes to structure and deploy your ML apps. Module 3 of our MLOps program is dedicated to serving ML models.
We’ll explore the capabilities of dedicated ML serving frameworks, learn how to deploy models as real-time services, build complex inference graphs, run A/B tests, and collect and process metrics.
Dmytro Voitekh is a seasoned ML engineer with 8 years of experience in machine learning, MLOps, and full-stack engineering. He has a strong background in helping both early-stage startups and established tech companies to leverage ML features. His domains of expertise include machine learning and MLOps, and he has worked as an ML consultant, ML architect/lead, and CTO of a startup.
Dmytro has worked with a number of companies, including Proxet and GIPHY, and his extensive experience in the field makes him a valuable asset for any company that wants to incorporate machine learning into their business processes. He has numerous talks, workshops, and practical courses dedicated to ML, which showcases his expertise in the field.