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 * ​Build and Ship an AI-Assisted Full-Stack App * ​Test, Containerize, and Deploy an AI-Assisted App * ​Open-Source AI Tools for Security, Audit, and DevOps * ​AI Dev Tools Zoomcamp 2026 Pre-Course Live Q&A * ​AI Dev Tools Zoomcamp 2026 Course Launch ## ​​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. Join our Slack: https://datatalks.club/slack.html