TOC for DevOps and Cloud
IBM DevOps and Software Engineering Professional Certificate1
1) Introduction to DevOps2
2) Introduction to Cloud Computing3
- Overview of Cloud Computing
- Cloud Computing Models
- Components of Cloud Computing
- Emerging Trends and Practices
- Cloud Security, Monitoring, Case Studies, Jobs
3) Introduction to Agile Development and Scrum4
4) Introduction to Software Engineering5
- SDLC - The Software Development Lifecycle
- Introduction to Software Development
- Basics of Programming
- Software Architecture Design and Patterns
- Job Opportunities and Skill sets in Software Engineering
5) Hands-on Introduction to Linux Commands and Shell Scripting6
6) Getting Started with Git and GitHub7
7) Python for Data Science, AI, and Development8
References
Checkout IBM DevOps and Software Engineering Professional Certificate: https://www.coursera.org/professional-certificates/devops-and-software-engineering ↩
Introduction to DevOps: https://www.coursera.org/learn/intro-to-devops?specialization=devops-and-software-engineering ↩
Introduction to Cloud Computing: https://www.coursera.org/learn/introduction-to-cloud?specialization=devops-and-software-engineering ↩
Introduction to Agile Development and Scrum: https://www.coursera.org/learn/agile-development-and-scrum?specialization=devops-and-software-engineering ↩
Introduction to Software Engineering: https://www.coursera.org/learn/introduction-to-software-engineering ↩
Hands-on Introduction to Linux Commands and Shell Scripting: https://www.coursera.org/learn/hands-on-introduction-to-linux-commands-and-shell-scripting?specialization=devops-and-software-engineering ↩
Getting Started with Git and GitHub: https://www.coursera.org/learn/getting-started-with-git-and-github?specialization=devops-and-software-engineering ↩
Python for Data Science, AI, and Development: https://www.coursera.org/learn/python-for-applied-data-science-ai?specialization=devops-and-software-engineering ↩