MLOps Zoomcamp announcements – Telegram
MLOps Zoomcamp announcements
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Telegram channel with announcements for MLOps Zoomcamp course from DataTalks.Club
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The course starts tomorrow at 17:00 Berlin time! Be ready!

We will share the link to the stream tomorrow right before the event

You can ask questions in advance using this link

https://app.sli.do/event/bu5ANFCaCQGMHLrnJpnF4v

See you tomorrow!
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The timetable for the course - you can find it on the course management platform. It's in your timezone. On this screenshot it's Berlin time
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We’re preparing a new MLOps competition!

Join us for a live preview session with Alexander Guschin and Alexey Grigorev to show you what this new MLOps Zoomcamp challenge is about.

Date: Tuesday, June 10
Time: 5:00 PM CET
Register here: https://lu.ma/bc9hdw61

In this session, you’ll learn how the competition works, what you’ll build, and how to get started. You’ll deploy your own ML model, receive real-time requests, monitor metrics like uptime and latency, and track performance, just like in a real-world project.

Here’s what we’ll cover:

- What the challenge is and how to join
- What your model needs to do
- How to use the platform to deploy and evaluate it
- Tips and tricks from the instructors

Bring your questions, we’ll answer them live.

About the hosts:

- Alexander Guschin is Kaggle Grandmaster (#5 in the world!), ML engineer, and teacher to 100K+ students.
- Alexey Grigorev is the creator of MLOps Zoomcamp and founder of DataTalks.Club
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We're starting Module 4, which focuses on model deployment!

👉🏼 Materials
👉🏼 Homework
👉🏼 Submit your homework here

Homework due date: 17 June 2025 01:00 CET

This module covers:

- Deployment strategies: online (web, streaming) vs. offline (batch)
- Deploying with Flask (web service)
- Streaming deployment with AWS Kinesis & Lambda
- Batch scoring for offline processing

Have fun!
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We’re starting Module 5: Model Monitoring

This module covers:

- Monitoring ML-based services
- Web service monitoring with Evidently
- Batch job monitoring with Evidently

Here’s what to do for this week:

1. Go through the module:
https://github.com/DataTalksClub/mlops-zoomcamp/tree/main/05-monitoring
2. Watch the videos
3. Explore the notebooks and examples
4. Do the homework: https://github.com/DataTalksClub/mlops-zoomcamp/blob/main/cohorts/2025/05-monitoring/homework.md
5. Submit it here: https://courses.datatalks.club/mlops-zoomcamp-2025/

Deadline: 24 June, 1 AM CET

Good luck!
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We’re starting Module 6: Best Practices

This module covers:

- Unit and integration testing
- Linting, formatting, and pre-commit hooks
- CI/CD with GitHub Actions
- Infrastructure as Code (Terraform)

Here’s what to do for this week:

1. Go through the module: https://github.com/DataTalksClub/mlops-zoomcamp/tree/main/06-best-practices
2. Watch the videos
3. Explore the notebooks and examples
4. Do the homework: https://github.com/DataTalksClub/mlops-zoomcamp/blob/main/cohorts/2025/06-best-practices/homework.md
5. Submit it here: https://courses.datatalks.club/mlops-zoomcamp-2025/

Deadline: 1 July, 1 AM CET

Good luck!
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MLOps Zoomcamp 2025 Competition is live

We are excited to announce the MLOps Zoomcamp 2025 Competition, where you can put your MLOps skills to the test.

Competition Overview

- Purpose: Reinforce course concepts by building and operating a complete ML system.
- Format: Individual challenge; choose one of two project tracks.

Project Tracks

- Track 1: Impostor Bot
Develop a chatbot that interacts in a group chat and is assessed on whether it can be distinguished from a human.

- Track 2: Bot Detector
Build an automated classifier to label chat participants as “bot” or “human.”

Benefits

All Zoomcamp students who submit a valid project earn extra points toward their final grade.

You’ll also have a complete, documented ML system you can reference in interviews.

How to Participate

Find all the details in this README file: https://github.com/DataTalksClub/mlops-zoomcamp/tree/main/cohorts/2025/competition

- Select your track
- Check getting started resources
- Ask questions
- Submit your solution
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Time to build your Final Project!

It’s your turn to put everything you’ve learned in MLOps Zoomcamp into practice.

We’re launching the first attempt for the Final Project!

You’ll build an end-to-end ML project:

- Choose a dataset you're interested in
- Train a model and track experiments
- Create a model training pipeline
- Deploy it (batch, web service, or streaming)
- Monitor performance
- Follow best practices

Useful links:

- Project requirements:
https://github.com/DataTalksClub/mlops-zoomcamp/tree/main/07-project
- Where to submit:
https://github.com/DataTalksClub/mlops-zoomcamp/blob/main/cohorts/2025/project.md
- More info on the course platform: https://courses.datatalks.club/mlops-zoomcamp-2025/project/project1
- Check past projects from the 2024 cohort if you need some inspiration: https://courses.datatalks.club/mlops-zoomcamp-2024/projects

Good luck! Let’s see what you’ll build!
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How are your final projects coming along?

First attempt closes Tuesday, July 15 at 23:59 CET.

Next up is peer review. Once submissions close, you’ll need to evaluate three peer projects for your own to count.

If you missed the deadline, you’ll have a second chance to submit.

Project repo
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Hi everyone! We're keeping the form for submitting your project open till today EOD

If you are running late with the submission, don't worry, there's another attempt - we opened the form for attempt 2
We closed the form for submitting project attempt 1

Now it's time to learn from your peers and also evaluate their projects

If you submitted the project, you'll find your review assignments here

https://courses.datatalks.club/mlops-zoomcamp-2025/project/project1/eval

If you didn't, don't worry, there's enough time to submit for attempt 2

Here you can find more information about project evaluation

https://github.com/DataTalksClub/mlops-zoomcamp/tree/main/07-project

Have fun!
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We have extended the deadline for attempt 2 by one week. Check the updated deadline in the course management platform

We will close the form for submitting attempt 1 peer evaluation tomorrow. If you submitted your project for attempt 1, but didn't do peer evaluation yet, do it asap - otherwise you fail the attempt
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We closed the form for submitting project attempt 2. Which means it's now time to learn from your peers!

You can find your review assignments here:

https://courses.datatalks.club/mlops-zoomcamp-2025/project/project2/eval

You need to be logged in

Have fun
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