📣 Join us for the "Vibe Coding: Build a Game with AI"

🎤 Speaker: Aleksey Komissarov
📅 Date: March 3, 2026
🕧 Time: 12:00 PM (CET)

We'll cover:

🔹 Setting up a vibe coding session: context, tools, and the right mindset
🔹 Live game development with Claude Code – from concept to playable prototype
🔹 Why specification matters more than syntax in the AI era
🔹 Why you need to experience AI failures, not just hear about them

🔗 Register here: https://luma.com/4stc4gir

Thank you, again, to everyone who participated! The course has officially come to an end!

If this course made any impact on you, we'd appreciate it if you could share your feedback in a short review form.

We have graded all homework assignments and updated the course leaderboard.

Congratulations to the 108 participants who have graduated with certificates!

If you are one of the graduates, you can find your certificate on the course management platform. Just make sure you log in with the account you used to submit your project.

Thank you to everyone who participated! The course has officially come to an end!

Time to learn from your peers and review their projects!

You'll find the assignments here

https://courses.datatalks.club/ai-dev-tools-2025/project/project2/eval

Have fun!

We will close the form for attempt 2 in ~10 hours. If you want to make a last minute submission, now it's your chance

Also I see that some people still haven't finished the peer review for attempt 1. You won't be able to get a certificate without completing this step

The deadline for Project Attempt 2 is less than one day away

This is your final chance to submit your project for this cohort.

If you want to participate in this attempt, please make sure that your project is submitted before the deadline.

If you already submited your peer review with scores in the comment section, please resubmit - the system won't be able to parse those submissions

Deadline for review: 1 week from now
Also there was a problem with evaluation criteria not being displayed. Now it's fixed

Also we closed the form for attempt 1. You will find your review assignments on the course management platform. Happy learning!

The deadline for Project Attempt 2, the final opportunity to submit the final project for this cohort, is approaching.

Deadline: January 27, 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 (peer review assignments are created automatically after submissions close)
• Certification requires 1 completed project 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 your project here: https://courses.datatalks.club/ai-dev-tools-2025/project/project2

We added project submission forms to the course management platform

https://courses.datatalks.club/ai-dev-tools-2025/

You can see the deadlines there too

Have fun!

We prepared the evaluation rubric for your projects:

https://github.com/DataTalksClub/ai-dev-tools-zoomcamp/tree/main/project

We will post the links to the project submission forms soon

Have fun learning!

We’re still looking for a dedicated instructor for the DevOps module.

For some participants, this module is a key part of the program, so we want to make sure it’s done properly and stays practical.

If you have ideas on what this module should cover, or if you know someone who would be a great fit to teach AI-driven DevOps topics, please share in the thread on Slack. (We use Telegram only for announcements)

Your input will help shape how this module comes together.

Homework 3 is finally ready!

https://github.com/DataTalksClub/ai-dev-tools-zoomcamp/blob/main/cohorts/2025/03-mcp/homework.md

Have fun

Current due date is January 5, 23:00 GMT

FAQ:

Q: Have I missed homework 3?
A: No, we're still preparing it. We will announce it when ready

Q: Is there homework for module 4?
A: No. You just follow along the videos and try to reproduce it if you want. There also be no homeworks for other modules

Q: When do we start the projects?
A: You can start now. You need to come up with a project idea and implement it end-to-end with Backend, Frontend, tests. CI/CD and deployment. The exact criteria are TBA.

We start Module 4 on building an AI coding agent

We're entering the final part of the course, where the focus shifts from guided exercises to working on your own project.

From this point on, there will be no new homework assignments. Instead, you'll use the remaining modules to build and refine a project of your choice.

This is the most effective way to consolidate what you've learned so far: MCP, agents, development workflows, and AI integrations, by applying them in a real setup.

Alexey is still finalizing the exact project format. For now, focus on completing the remaining modules. We'll share concrete project details and next steps shortly.

We start Module 3 on MCP

Homework for this module will be published soon, but you can already start learning.

Module 3 covers:

🔸 What MCP is and how it connects AI tools, servers, and clients
🔸 Tools, resources, prompts — core MCP primitives
🔸 Communication modes: stdio vs HTTPS
🔸 Using MCP servers for real developer workflows
🔸 Live documentation & debugging with Context 7 (Airflow, Astro)
🔸 VSCode configuration with MCP
🔸 Automating code-fixing workflows using the latest docs
🔸 Generating and publishing blog posts to Hashnode on the fly

👉 Watch the Workshop Video
👉 Working Demo

Module 2 (end-to-end AI app) wraps up tomorrow. Please submit your homework by December 9, 2025, at 12:00 PM CET.

We will close the form for submitting homework 1 tomorrow

Hurry up! You can still submit it - it takes less than one hour when you use an AI assistant to implement it

After the form is closed and the homework is scored, we will have a leaderboard with scores. You will probably have questions about it, so to make sure it's not a surprize to you, here's a short summary

For completing the homework you get one point for each correctly answered question

Also, you get extra points for:

- sharing what you learned in public (one point per each post, up to 7 points)
- contributing to FAQ

You can submit it when you submit the homework

You can also choose not to care about these points - it's totally fine. The only important thing is learning new things and having fun