Foundation Notes
DevOps Learning Path
A practical learning log focused on the infrastructure and deployment foundations behind data and AI applications.
What I practiced
- Linux terminal basics and command-line navigation
- WSL development workflow on Windows
- SSH access to a remote Ubuntu machine
- Git/GitHub authentication and repository workflow
- Docker basics and containerization concepts
- CI/CD foundations with lightweight automation thinking
- Deployment awareness for Streamlit and AI applications
Why it matters
These skills support my larger goal of building data and AI projects that are easier to run, deploy, debug, and maintain. They connect my data analysis and AI/ML work with the practical workflows needed to move projects beyond local notebooks into reproducible, deployable systems.
Current focus
I am currently strengthening the foundations around Linux, SSH, Docker, deployment workflows, and CI/CD so I can better understand how data-driven applications are operated after they are built.