Notes, labs, and progress tracking for the IBM DevOps and Software Engineering Professional Certificate on Coursera (15 courses).
✅ done ➡️ in progress ⬜ not started
| # | Course | Status |
|---|---|---|
| 1 | Introduction to DevOps | ✅ |
| 2 | Introduction to Cloud Computing | ✅ |
| 3 | Introduction to Agile Development and Scrum | ✅ |
| 4 | Introduction to Software Engineering | ✅ |
| 5 | Getting Started with Git and GitHub | ➡️ |
| 6 | Hands-on Introduction to Linux Commands and Shell Scripting | ⬜ |
| 7 | Python for Data Science, AI & Development | ⬜ |
| 8 | Developing AI Applications with Python and Flask | ⬜ |
| 9 | Introduction to Containers w/ Docker, Kubernetes & OpenShift | ⬜ |
| 10 | Application Development using Microservices and Serverless | ⬜ |
| 11 | Introduction to Test and Behavior Driven Development | ⬜ |
| 12 | Continuous Integration and Continuous Delivery (CI/CD) | ⬜ |
| 13 | Application Security for Developers and DevOps Professionals | ⬜ |
| 14 | Monitoring and Observability for Development and DevOps | ⬜ |
| 15 | DevOps Capstone Project | ⬜ |
Progress: 4 / 15 complete
Each module folder (once created) holds:
notes.md— notes from Coursera lecturesresources.md— links, readings, references (only where useful)project/— hands-on project/lab work, if applicable