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​Thinking about joining Machine Learning Zoomcamp 2026? Come to this live Q&A with course creator Alexey Grigorev and get a clear picture of what the course is like before the cohort starts on 14 September 2026.
​Bring your questions about the curriculum, projects, homework, certificates, or whether this is the right next step for you.

## ​What We'll Cover

​Alexey will walk through:

  • ​What you'll learn: ML fundamentals, regression, classification, evaluation, trees, ensembles, deep learning, deployment, and model serving
  • ​How the course works: videos, homework, deadlines, leaderboard, peer review, and certificate path
  • ​What you'll build: midterm and capstone projects with deployed models that can become portfolio pieces
  • ​How to stay on track: pacing, learning in public, and getting unstuck when the material gets dense
  • ​Where to get help: DataTalks.Club Slack, Telegram updates, FAQ, and community support

​You'll also hear practical advice on how to approach the course, keep momentum, and turn the projects into something you can show later.

## ​Is This Course for You?

​ML Zoomcamp is a free 4-month course for people who want to become practical machine learning engineers. It starts with the basics and gradually moves toward production-style work: model evaluation, deployment, deep learning, serverless inference, Kubernetes, and model serving.
​You should be comfortable with:

  • ​programming
  • ​the command line
  • ​Git
  • ​Docker basics

​You don't need:

  • ​previous machine learning experience
  • ​advanced math
  • ​cloud experience
  • ​a degree

​The next live cohort starts on 14 September 2026. You can join it by registering here.
​

## ​About the Speaker

​Alexey Grigorev is the Founder of DataTalks.Club and creator of the Zoomcamp series.

​He has worked in software engineering and machine learning for more than 10 years, built ML systems in production, authored technical books including Machine Learning Bookcamp, and helped thousands of learners through DataTalks.Club courses.
​

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

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