Course Summary
Credit Type:
43 hours
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Lower-Division Baccalaureate 3 software engineering


The course objective is to help DevOps engineers, who are already familiar with foundational cloud concepts, focus on the DevOps mindset and promoting DevOps disciplines. You will start by working on your cloud engineer skills, focusing on DevOps automation. Then, take a deep dive into cloud concepts and duties such as AWS DevOps automation, Azure DevOps automation, Google Cloud Platform DevOps automation, and DevOps automation across platforms. From there, DevOps engineers may move into the role of CloudOps engineer, where they will focus on implementing CloudOps. Then finally, the course will bring together all the insights and knowledge acquired throughout your learning journey, so you can implement various testing tools and techniques as a cloud architect.

Learning Outcomes:

  • define IaaS dnd what makes it different from other deployment models
  • describe making the transition from a traditional, onPrem or more modern DevOps solution, to a more multi-cloud one
  • work with various stakeholders in solutioning a CloudOps project
  • use Agile in DevOps projects
  • identify the major components of CI and CD
  • apply the major DevOps solutions, tooling, and methods for AWS, Azure, and Google's Cloud Platform (GCP)
  • identify applicable multi-cloud design patterns, methods, and tooling
  • deploy and manage Docker and Kubernetes-based solutions in a multi-cloud
  • prescribe solutions for the chief security concerns of a CloudOps in a multi-cloud
  • develop and promote a DevOps culture and mindset

General Topics:

  • The DevOps Mindset and Promoting DevOps Discipline
  • Kanban for Operations
  • Agile and DevOps
  • DevOps in Continuous Delivery and Continuous Integration
  • DevOps and AWS
  • Azure and DevOps
  • Google Cloud Platform and DevOps
  • Infrastructure as Code (IaC)
  • The DevOps Automation Architect
  • DevOps Automation Strategies and Design Patterns
  • AWS, Azure, and GCP DevOps Automation
  • DevOps Automation Across Platforms
  • Moving from DevOps to CloudOps
  • Elements of Infrastructure as a Service (IaaS)
  • Public, Private, and Hybrid CloudOps Interoperability
  • Docker and Kubernetes In Multi-cloud Environments
  • OpenStack in CloudOps
  • Securing CloudOps Deployments
  • CloudOps in Software-defined Wide Area Networks
  • Transitioning to Cloud Operation
  • CloudOps Solutioning and Explainability
  • Future Trends in Cloud Computing
Instruction & Assessment

Instructional Strategies:

  • Computer Based Training
  • Practical Exercises

Methods of Assessment:

  • Examinations
  • Quizzes

Minimum Passing Score:

Supplemental Materials