Hey all!

AI Dev Tools Zoomcamp is starting soon.

The first cohort of the course begins on November 18, 2025.

Are you ready?

We’ll be hosting a live Q&A session to address your questions about the curriculum, target audience, and learning outcomes.

Join Alexey on Tuesday (Nov 4) at 5 PM CET: https://luma.com/6p356li5

And share the course with your friends! https://datatalks.club/courses/ai-dev-tools-zoomcamp/

The recording for the Q&A stream:

https://www.youtube.com/live/sUwrCnP2iGU

We’ll be starting the first live cohort of AI Dev Tools Zoomcamp soon.

Date: Tuesday, November 18
Time: 5 PM CET

Join the live launch stream to learn more about the course and how to get started: https://luma.com/80ve8r1u

10 most popular questions about AI Dev Tools Zoomcamp summarized:

1. What is the purpose of the AI Dev Tools Zoomcamp?

Help developers become more productive and effective by using modern AI tools to write code faster.

2. Who is the course for?

The course is designed for anyone who writes code, including MLOps engineers, ML engineers, AI engineers, and software developers. It focuses on software development workflows rather than data-specific tasks.

3. What are the course prerequisites?

Basic programming and command-line knowledge are recommended.

4. What topics are covered?

🔸 Overview of chatbots, coding assistants, and AI agents
🔸 Building an end-to-end project (frontend + backend + database)
🔸 Understanding AI agents and MCP
🔸 Creating a custom coding agent
🔸 Using AI for DevOps automation with tools like n8n

5. Does the course require any paid LLM subscription?

🔸 Module 1: Free (works with free tools like Groq or Gemini)
🔸 Module 2: Likely requires Cursor ($20/mo) or GitHub Copilot ($10/mo)
🔸 Module 4: Small API deposit (~$5) for OpenAI or Anthropic

6. Is the course free?

Yes. All course materials and participation are free (as with other DataTalksClub courses).

7. When does it start?

November 18, 2025 (Tuesday).

8. What platforms are used?

🔸 YouTube for video lectures
🔸 Slack for community and Q&A
🔸 Telegram for announcements

9. How does the developer workflow change with AI tools?

Developers move from primarily writing code to reading, reviewing, and improving AI-generated code.

10. Can I take the course after the cohort ends?

Yes, materials are available for self-paced learning.

But self-paced learning does not include homework submissions, project evaluations, and the opportunity to earn a certificate.

You can find answers to other questions in the recording of the live Q&A: https://youtube.com/live/sUwrCnP2iGU

We are starting the course launch stream in 50 minutes

We will share the link to the YouTube stream a few minutes before the start

In the meantime, you can ask your questions here: https://app.sli.do/event/vR51rL6PmgDV31HYfrQoRa

See you soon!

Testing repost to Slack

I just recorded a small video about using codespaces for this course

https://www.loom.com/share/d07da2b8d6a44880bb598f419f1d72b0

We'll eventually upload it to YouTube and put it to github but you can check it already

Homework 1 is now ready

You should start working on Module 1. It covers different categories of modern AI dev tools and how they can improve your dev experience.

👉 Module 1 content

When you’re ready, go ahead and do the homework for this module.

👉 Deadline: 28 November 2025, 00:00 CET
👉 Homework page with instructions and details on GitHub
👉 Submit here

During Homework 1, you’ll build a small TODO app in Django with the help of an AI assistant.

No prior Django or Python knowledge required.

You will:

🔹 Install Django
🔹 Create a project + app
🔹 Build models for TODOs
🔹 Implement CRUD logic (create/edit/delete, due dates, resolve)
🔹 Add templates (base.html, home.html)
🔹 Write and run tests
🔹 Run the final application
🔹 Commit everything to a GitHub repo

Use any AI tool you prefer (ChatGPT, Claude, Copilot, Cursor, etc.). The idea is to follow AI guidance, verify each step, and get the app working.

You can also share your progress publicly: “learning in public” is encouraged.

Start early and good luck!

How is your Homework 1 going?

Add your thoughts and questions to our channel on Slack!

Again, for this homework, no prior knowledge of Django or Python is needed, making this a great chance to learn.

You need to build a small TODO app using Django, with support from an AI assistant.

👉 Module 1 content
👉 Homework page with instructions and details on GitHub
👉 Submit here

Deadline: November 28, 2025, at 12 PM CET.

The materials for module 2 are ready:

https://github.com/DataTalksClub/ai-dev-tools-zoomcamp/tree/main/02-end-to-end

Some of the videos are still in Loom but soon will be moved to YouTube

We will let you know when the homework is ready. Have fun !

Homework for module 2 is ready!

https://github.com/DataTalksClub/ai-dev-tools-zoomcamp/blob/main/cohorts/2025/02-end-to-end/homework.md

(will publish it in the course manaagement platform shortly)

The deadline is December 8

We start Module 2 on Building an End-to-End Application

This week we move from simple tasks to building a full AI-generated application end to end: the Snake Arena project.

You’ll learn how to:

🔹 Generate the frontend with Lovable, Cursor, Claude Code, or Antigravity
🔹 Extract OpenAPI specs from the client
🔹 Implement a FastAPI backend with tests
🔹 Add SQLite/Postgres support via SQLAlchemy
🔹 Run everything together with Docker Compose
🔹 Package frontend + backend into one deployable container
🔹 Deploy to Render
🔹 Set up CI/CD with automated tests and deployment

Homework

You’ll build your own end-to-end app: a real-time collaborative coding interview platform.

It must support shared editing, real-time updates, syntax highlighting, and browser-based code execution (WASM).

The tasks include:

🔹 Generating frontend + backend in one go
🔹 Adding integration tests
🔹 Running client and server together
🔹 Implementing syntax highlighting
🔹 Adding safe in-browser code execution
🔹 Containerizing and deploying your app
🔹 Sharing the repo link in the submission form

Don’t forget that you can get extra points for learning in public and contributing to the FAQ document.

👉 Module 2 content
👉 Homework page with instructions and details on GitHub
👉 Submit here

Have fun building!

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

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 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.