Build Docker Infrastructure with AI
Control Docker containers through natural language using Cursor's MCP integration
Difficulty
Beginner
Time to complete
45 minutes
Availability
Free
BUILD
What you'll build
Build PostgreSQL databases using AI-powered Docker. Learn container orchestration and multi-service configuration through natural language in Cursor.
1. Install Development Tools
Install Cursor AI editor and Docker Desktop, then verify both tools are running properly.
2. Connect Docker MCP Server
Install Python and uv, configure the Docker MCP in Cursor, and verify the connection.
3. Create Your First Container
Use natural language to create a PostgreSQL container and verify it's running in Docker Desktop.
4. Set Up Multi-Container Application
Use Docker Compose to orchestrate PostgreSQL and Adminer, then access your database in the browser.
5. Monitor Container Health
Check container logs using the Docker MCP to monitor database health and debug issues.
Your portfolio builds as you work.
Every project documents itself as you go. Finish the work, and your proof is ready to share.
PROJECT
Real world application
Skills you'll learn
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Infrastructure as Code
Define and manage container configurations using declarative Docker Compose files
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AI-Assisted DevOps
Control infrastructure through natural language using Model Context Protocol integration
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Container Orchestration
Deploy and manage multi-service applications with Docker Compose and networking
-
Database Management
Configure PostgreSQL databases with proper credentials, ports, and persistent storage
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Container Monitoring
Inspect logs and health status to debug issues in running containers
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MCP Configuration
Set up Model Context Protocol servers to extend AI editor capabilities
Tech stack
-
Cursor
AI-powered code editor with MCP support for infrastructure control through natural language
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Docker
Container platform for packaging applications with everything they need to run consistently
These projects are well-structured and super easy to understand and implement.
Ambika
Junior Developer
OUTCOME
Where this leads.
Relevant Jobs
Roles where these skills matter:
- DevOps Engineer
- Infrastructure Engineer
- Backend Developer
- AI Engineer
AI/ML
Build more AI and DevOps projects that take you from code to cloud deployment.
AI/ML
Continue the JourneyFAQs
Everything you need to know
No! This project is designed for complete beginners. You'll learn Docker fundamentals by using AI to create and manage containers through natural language, without writing terminal commands.
MCP is a standard that lets AI models connect to external tools and services. Unlike regular Cursor chat which can only read and edit files, MCP servers let Cursor create and control Docker containers, manage infrastructure, and interact with real systems through natural language.
Docker keeps your system clean and makes it easy to start, stop, or delete the database. Containers package PostgreSQL with everything it needs to run, isolated from other applications on your machine. This makes infrastructure reproducible and prevents conflicts.
Docker is the tool that runs containers. Docker Desktop is the application that makes it easy to run Docker on your laptop—it includes the Docker engine, a graphical dashboard, and all the background services needed to run containers on your computer.
Yes! The same MCP + Docker workflow works with MySQL, MongoDB, Redis, or any database that has a Docker image. Once you understand the pattern with PostgreSQL, you can apply it to any containerized service.
Docker Compose lets you define multiple containers in one file and start them together with a single command. Instead of creating each container separately, you can configure PostgreSQL, Adminer, networking, and ports in one YAML file for a reproducible setup.
One Project. Real Skills.
45 minutes from now, you'll have completed Build Docker Infrastructure with AI. No prior experience needed. Just step-by-step guidance and a real project for your portfolio.
Beginner-friendly