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​A hands-on introduction to serving machine learning models in production - Alexey Grigorev

​This is the third workshop in our ML series on ML model deployment. ​Building on the FastAPI service created in Part 1, we’ll now show how to deploy that service using Kubernetes, the industry standard for managing containerized applications in production. ​Led by Alexey Grigorev, this workshop focuses on infrastructure, orchestration, and scaling.

​What You'll Learn

• ​How to containerize a model and preprocessing step as microservices
• ​How to use Docker Compose to test your setup locally
• ​How to deploy your services to Kubernetes
• ​How to connect everything together into a working ML system
• ​The basics of using EKS (Elastic Kubernetes Service) for managed deployments

​It will be a live demo with practical tips and a chance to ask your questions. This workshop gives you a real feel for how ML models are deployed in real-world environments. ​ ​Thinking About ML Zoomcamp? ​This workshop reflects the updated content of Module 5 in the ML Zoomcamp, giving you a taste of modern ML deployment practices you'll explore in the course.

​ML Zoomcamp is our free 4-month course that takes you from beginner to advanced ML engineer. It covers the fundamentals of ML, from regression and classification to deployment and deep learning. ​The new cohort of the ML Zoomcamp starts on September 15, 2025. You can join it by registering here. ​ ​About the Speaker

​Alexey Grigorev is the Founder of DataTalks.Club and creator of the Zoomcamp series. ​Alexey is a seasoned software and ML engineer with over 10 years in engineering and 6+ years in machine learning. He has deployed large-scale ML systems at companies like OLX Group and Simplaex, authored several technical books including Machine Learning Bookcamp, and is a Kaggle Master with a 1st place finish in the NIPS'17 Criteo Challenge. ​

Join our slack: https://datatalks.club/slack.html

Introduction to MLOps Zoomcamp 2024

Join us for an interactive Q&A session about the MLOps Zoomcamp, our free online course designed to teach the practical aspects of productionizing machine learning (ML) services. This includes everything from training and experimenting to model deployment and monitoring.

Hosted by Alexey Grigorev, founder of DataTalks.Club, this Q&A event is designed specifically for those who have questions about the course and want to learn more before signing up. This event is perfect for anyone curious about the MLOps Zoomcamp and considering signing up. You'll have the opportunity to:

• Ask direct questions and gain insights into the practical challenges of ML operations
• Understand the course curriculum, including topics and technologies covered
• Learn about course assignments, scoring, and how to receive feedback
• Discover projects you can add to your portfolio
• Get tips on how to navigate the course materials effectively

Don't miss this chance to get your ML engineering questions answered directly from the instructor who designed the course! About the speaker:

Alexey is the founder of DataTalks.Club — a community of 54,000+ data enthusiasts.

Alexey wrote a few books about machine learning. One of them is Machine Learning Bookcamp — a book for software engineers who want to get into machine learning. As creator of MLOps Zoomcamp, he has helped thousands to get started with MLOps (Machine Learning Operations) through this free, hands-on training program.

​​DataTalks.Club is the place to talk about data. Join our slack community!

Overview of the Machine Learning Zoomcamp course: topics and technologies covered; course assignments and scoring; homework and getting feedback; course projects for your portfolio; DataTalks.Club community; tips for navigating the course materials and getting the most out of your learning experience.