ML Zoomcamp announcements

The next cohort of the Machine Learning Zoomcamp starts on September 14. Join the course to • Build regression and classification models in Python • Work with key algorithms like linear/logistic regression, decision trees, and deep learning • Take them to production using Docker, FastAPI, Kubernetes, and AWS Lambda Join the live Q&A and launch events to learn more about the course before it starts.

Just graded 3rd capstone. Congrats to 45 people who passed!

400 course participants have already graduated with certificates. Congratulations! If you're one of the graduates, you can find your certificate on the course management platform. Make sure you're logged in with the account you used to submit your project. The deadline for Capstone 3 has passed. If you submitted your work during this attempt, there is still time left to review your peers. Remember, reviewing three peers is a mandatory requirement; if you do not complete this step, you will not pass the project.

The form for submitting capstone 3 is closed If you submitted a project, you can find the assignments here: https://courses.datatalks.club/ml-zoomcamp-2025/project/capstone3/eval And by the way. Some of you might already be able to find your certificate in your enrollment profile here https://courses.datatalks.club/ml-zoomcamp-2025/enrollment

We have opened a new submission form for course projects, which will close on February 3rd at 12:00 AM CET. You have less than a day left to complete your project. The deadline for Capstone 2 has passed. If you submitted your work during this attempt, it's now time to review your peers. Remember, reviewing three peers is a mandatory requirement; if you do not complete this step, you will not pass the project.

Congratulations to 199 people who passed attempt 2!

Submit your capstone here https://courses.datatalks.club/ml-zoomcamp-2025/project/capstone3

You’ll have another chance to submit your project! We received many requests to open another opportunity to submit the capstone project, and we have decided to do so. We'll soon create another submission form on the course management platform. The deadline for Capstone 2 has passed. If you submitted your work during this attempt, it's now time to review your peers. Remember, reviewing three peers is a mandatory requirement; if you do not complete this step, you will not pass the project.

How many of you wanted to submit your project but didn't have a chance? If there's enough interest, we can open another project attempt for submission. React to this post with 👍 if you need another project submission attempt

Now it's time to learn from your peers! If you submitted capstone 2, you will find your peer review assignments are here https://courses.datatalks.club/ml-zoomcamp-2025/project/capstone2/eval Have fun! And remember that this is a mandatory step: if you don't complete it, you will not pass this project

The deadline for the Capstone 2, the final attempt to submit the capstone project for this cohort is coming up soon. Deadline: January 20, 12:00 AM CET If you plan to participate in this attempt, make sure your project is submitted before the deadline. Important reminders: • You must review 3 peers’ projects (assignments are created automatically after submissions close) • Certification requires 2 completed projects during the course • All projects must be individual work If you’re close to finishing, this is the moment to push it over the line. Submit here: https://courses.datatalks.club/ml-zoomcamp-2025/project/capstone2

If you didn't submit the reviews for capstone 1, now is your last chance. We will close the form in ~20 hours

Hi everyone! We closed the form for submitting capstone 1 You can see your peer review assignments here: https://courses.datatalks.club/ml-zoomcamp-2025/project/capstone1/eval Have fun and happy learning!

Deadline for capstone 1 is extended till tomorrow 23:00 CET Have fun

We’ve finished Module 10 on serverless deep learning, and now it’s time to move on to the Capstone Projects. How many capstones do you need? 🔹 If you passed the midterm: complete one capstone 🔹 If you didn’t pass the midterm: complete both capstones to receive a certificate Some participants in previous cohorts completed all three projects. Feel free to do the same if you have the time and motivation. Capstone deadlines: 🔹 Capstone 1: January 6, 2026, 12 AM CET 🔹 Capstone 2: January 20, 2026, 12 AM CET More information about projects in this post. Wishing you great holidays 🎄 You have plenty of time to finalize your projects. Good luck, and enjoy building!

We’re starting Module 10: Kubernetes and TensorFlow Serving Homework for this module will be published soon, but you can already begin learning. In this module, you’ll learn how to serve ML models at scale using Kubernetes and TensorFlow Serving. Some original lessons are outdated, so we recorded an updated workshop. You’ll find all refreshed materials in the workshop folder. You don’t need to watch the old module videos, but lessons 10.5 and 10.8 may still be useful. Module 10 includes: 🔸 10.1 Overview 🔸 10.2 TensorFlow Serving 🔸 10.3 Creating a pre-processing service 🔸 10.4 Running everything locally with Docker Compose 🔸 10.5 Intro to Kubernetes 🔸 10.6 Deploying a simple service to Kubernetes 🔸 10.7 Deploying TensorFlow models to Kubernetes 🔸 10.8 Deploying to EKS 🔸 10.9 Summary 🔸 10.10 Explore more 🔸 10.11 Homework 👉 Updated Workshop (recommended) Module 9 (serverless deep learning) ends tomorrow. Please submit your homework by December 9, 2025, at 12:00 PM CET.

We opened Capstone 1 and Capstone 2 projects for submissions There's no difference between the capstone project and midterm in terms of evaluation criteria, but you can use all the new things we learned for your capstone project: - Neural networks - Serverless - Kubernetes But you don't have to use them in your capstone. If you already passed midterm, it's sufficient to do only one capstone project. If you didn't pass midterm, you'll need to work on both capstones in order to get a certificate at the end Some course participants last years did all three projects - it's also okay if you have time and energy Have fun!