Cloud, DevOps & System Design
Ship AI like a professional. Docker, Kubernetes, CI/CD, AWS, Terraform and system design — plus the full MLOps track: serving, monitoring, pipelines, security and cost.
https://github.com/waleedkhokar/python-ai-engineering-journey/tree/main/09%20Cloud-DevOps-and-System-Design — so you always land in the right place, never on a guessed sub-folder.What You Will Learn
All Classes
Every class in this course, in order — with exactly what each class teaches. Notes, code and interview prep for each class live in the course folder on GitHub.
Docker Deep Dive
Images, containers, volumes, networks, multi-stage builds.
GitHub Actions CI/CD
Workflows, matrix builds, secrets, deployment.
Cloud Architecture Patterns
Serverless, microservices, event-driven design.
Production AI Systems
End-to-end deployment, monitoring, scaling — the capstone.
Interview Preparation
Every class in this course includes interview preparation. Open the course folder on GitHub for the full material.
Common Interview Questions
The questions interviewers actually ask on this course's topics, with clear, structured answers.
Open Interview PrepCoding Challenges
Hands-on problems for each class, so you can prove the skill, not just describe it.
Open Interview PrepCommon Mistakes to Avoid
The errors beginners make with these topics — and how professionals avoid them.
Open Interview PrepBest Practices
How working engineers write this code in production: clean, tested and maintainable.
Open Interview Prep