- Duration: 6 live sessions start coming soon
- Price: €550 (€450 early bird rate until August 31)
* Get reimbursed by your employer
This course is designed for ML engineers, data scientists, data engineers, DevOps, and software engineers
About the course
Live online course suggests live coding and workshop sessions with real-time feedback from experts and colleagues. With each session, you get hands-on experience that can be immediately applied to your work.
We will learn how to plan ML model deployment and use the essential engineering tools - Docker and Kubernetes - to productionalize your ML models.
So, get ready to dive into the world of MLOps and start building your ML project today!
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.