Test, Containerize, and Deploy an AI-Assisted App
This is the 3rd workshop in our series to update the AI Dev Tools Zoomcamp content.
This workshop updates Module 3: Test, Containerize, and Deploy an AI-Assisted App.
The previous workshop ended with an application that runs on your machine. In this hands-on session, Alexey Grigorev will take it the rest of the way: proven by tests that exercise the real stack, packaged in containers, checked automatically on every pull request, and deployed at a public URL.
Each of those steps is something AI tools are good at drafting and bad at owning. A generated Dockerfile that builds isn't the same as one that builds the right thing. A green pipeline that skips the tests is worse than no pipeline at all.
What You'll Learn
How to write integration tests that exercise the API, the database, and the frontend together
How to set up and tear down a test database, and when to recreate it instead of rolling back
How to test against the OpenAPI spec instead of against the implementation
How to check that an AI-generated test suite actually catches anything, by breaking the code on purpose
How to containerize the app with a multi-stage build that compiles the frontend and serves it from the backend image
How to move from SQLite to Postgres without rewriting the application code
How to keep secrets and environment configuration out of the image
How to set up CI so linting, tests, and the container build run on every pull request
How to read a failing pipeline log and feed it back to the agent
How to deploy to a platform such as Render, Fly.io, Railway, or Cloud Run
How to handle managed databases, migrations, health checks, logs, and rollback
How to connect the pipeline to the deployment so merging to the main branch is what ships
Why a deploy that succeeded isn't the same as an app that works
By the end, you'll know how to take an AI-assisted application from your laptop to a public URL that redeploys automatically when the tests pass.
Like the other workshops, this will be a live demo with practical tips and time for Q&A.
All Events in This Series
All Events in This Series
How to Work with AI Coding Agents: Spec-Driven Development, Context and Loop Engineering, Workflows
Thinking About Joining AI Dev Tools Zoomcamp?
This workshop covers the updated content for Module 2 of AI Dev Tools Zoomcamp, our free course on using AI tools in practical software development workflows.
The course covers AI-assisted planning, coding, review, testing, coding agent capabilities, MCP, skills, plugins, security, audit, DevOps, and a complete final project.
The new cohort of AI Dev Tools Zoomcamp starts on August 31, 2026. You can join it by registering here.
About the Speaker
Alexey Grigorev is the Founder of DataTalks.Club and creator of the Zoomcamp series.
Alexey is a software and ML engineer with over 10 years in engineering and 6+ years in machine learning. He has deployed large-scale ML systems at companies like OLX Group and Simplaex, authored several technical books, including Machine Learning Bookcamp, and is a Kaggle Master with a 1st place finish in the NIPS'17 Criteo Challenge.
DataTalks.Club is the place to talk about data. Join our Slack community!