Learn Docker, cloud deployment, and monitoring fundamentals — using AI to write configs, debug infrastructure, and respond to incidents.
Before
Create a Dockerfile for your Next.js project using the multi-stage pattern above. Build it with `docker build -t myapp .` and run it with `docker run -p 3000:3000 myapp`. Check the image size with `docker images myapp`. Then create a docker-compose.yml with a PostgreSQL database and start both with `docker compose up`.
After
Docker solves 'works on my machine' by packaging your app with its exact dependencies and runtime. Multi-stage builds keep images small and secure. AI is exceptionally good at writing Dockerfiles — describe your stack and it produces a production-ready config in seconds.
Tip
Be specific about what you need. The more context you provide, the better the result.
Your result will appear here.
Docker Fundamentals for Developers
Write a Dockerfile that builds a production-ready container for a Next.js application
Cloud Deployment: AWS, GCP & Serverless Patterns
Understand the key cloud services developers interact with (compute, storage, functions)
Monitoring, Logging & Incident Response with AI
Set up application monitoring with alerts for errors and performance degradation