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AI Dev Tools Zoomcamp
A free, hands-on course on using AI developer tools to build, test, deploy, extend, and audit software without losing engineering discipline. The 2026 cohort starts August 31.
Install
$
git clone https://github.com/DataTalksClub/ai-dev-tools-zoomcampInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →AI Dev Tools Zoomcamp: AI-Native Software Engineering
A free, hands-on course on using AI developer tools to build, test, deploy, extend, and audit software without losing engineering discipline.
Register | Course Platform | Join Slack | Course Slack Channel | Telegram | YouTube Playlist | FAQ
Quick Links
| Resource | Link |
|---|---|
| Register | Sign up for the free 2026 cohort |
| Start date | August 31, 2026 |
| Learn | Course platform · Materials · Videos |
| Course launch | Read the launch article |
| Community | Slack · Course channel · Telegram |
| Help | Docs · Logistics · FAQ |
[!NOTE] The 2026 materials are currently being finalized. The repository shows the direction for the next cohort, but some videos, homework, deadlines, project requirements, and module details may change before the cohort starts on August 31, 2026.
About the Course
AI Dev Tools Zoomcamp is a free, practical course for developers and technical data professionals who want to learn disciplined AI-assisted software development.
The course is built around one core workflow:
Give AI tools the right context, use them for the right job, review what they produce, test the result, and ship software with guardrails.
You will compare modern AI developer tools, build and deploy a full-stack application, operate it with observability and an agent-assisted incident response, and extend coding agents with MCP and reusable capabilities.
This is not a prompt-engineering-only course, and it is not a course about training models or building RAG systems. The focus is day-to-day software development with AI coding assistants, agents, tests, CI/CD, deployment, documentation, and review.
Who Should Join
This course is for you if you:
- Already write basic code in Python, JavaScript, TypeScript, or a similar language.
- Want to use AI coding tools professionally, not only for isolated snippets.
- Want a repeatable workflow for planning, prompting, reviewing, testing, debugging, and shipping code.
- Care about maintainability, tests, deployment, documentation, and code review.
- Want to build a project that demonstrates practical AI-assisted development skills.
- Benefit from cohort deadlines, community support, peer review, and certificate eligibility.
The course is especially relevant for software engineers, ML engineers, MLOps engineers, AI engineers, data scientists, data engineers, analysts who write code, and technical students who want practical project experience.
This course is probably not the right fit if you have never programmed before, want a non-technical AI introduction, or mainly want model training, fine-tuning, LangChain, vector databases, or RAG.
Prerequisites
You do not need prior AI tools experience.
You should have:
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