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URL: https://www.coursera.org/learn/genai-for-devops-practitioners

⇱ GenAI for DevOps Practitioners | Coursera


GenAI for DevOps Practitioners

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Identify the capabilities of GenAI for basic role-specific DevOps functions.

  • Evaluate the results of GenAI for a real-world application in DevOps functions.

  • Compare and contrast the risks, challenges, and ethical considerations of GenAI in the workplace for DevOps functions in general.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

2 assignmentsΒΉ

AI Graded see disclaimer
Taught in English

Build your subject-matter expertise

This course is part of the Building Smarter Software: GenAI Tools and Practices Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There is 1 module in this course

As part of the GenAI Academy, "GenAI for DevOps Practitioners" is an exploration of how Generative Artificial Intelligence (GenAI) is transforming the field of DevOps. This course is a primer where learners will discover the key capabilities of GenAI and uncover practical strategies to leverage these powerful tools in their day-to-day DevOps work.

Through a combination of discussions, video demos, and guided hands-on activities, learners will gain an understanding of how GenAI can enhance productivity for code generation, infrastructure as code (IaC), continuous integration/continuous deployment (CI/CD) pipeline optimization, and automated documentation. This course is designed for team leads, managers, and DevOps engineers aiming to enhance efficiency and innovation by integrating GenAI tools into their workflows. It's also ideal for aspiring DevOps practitioners who want to future-proof their skills and gain a competitive edge by mastering GenAI in DevOps. Participants should have a solid grasp of DevOps fundamentals like CI/CD, infrastructure as code, and automation. Familiarity with tools like Git, Jenkins, Docker, Kubernetes, and experience in Python or Shell scripting is essential. An open, curious mindset towards exploring GenAI will be crucial for success. By the end of the course, learners will discover the capabilities of GenAI in enhancing code generation, infrastructure as code, and CI/CD pipeline optimization. They will apply GenAI techniques to real-world DevOps tasks, gaining hands-on experience and evaluating its impact on productivity. Additionally, learners will consider the ethical implications of GenAI, developing strategies for responsible integration while maintaining human oversight and accountability in their DevOps practices.

This course, "GenAI for DevOps Practitioners," is part of the GenAI Academy and explores how Generative Artificial Intelligence (GenAI) is transforming the field of DevOps. As a primer, it guides learners through the key capabilities of GenAI and provides practical strategies to leverage these powerful tools in their daily DevOps tasks.

What's included

6 videos5 readings2 assignments1 peer review

6 videosβ€’Total 47 minutes
  • Introduction to GenAI for DevOps Practitionersβ€’5 minutes
  • History & Background for GenAI and DevOps Practitioners β€’7 minutes
  • Demo for Crafting Microservice Architecture for E-Com Platform with ChatGPTβ€’12 minutes
  • Remediating Risks and Ethical Concernsβ€’8 minutes
  • Demo for Creation of Infrastructure as Code for E-Com Platform Modernizationβ€’13 minutes
  • Closing Thoughts: What’s Nextβ€’2 minutes
5 readingsβ€’Total 40 minutes
  • Our Roadmap & Resources Available: How to Get Startedβ€’5 minutes
  • Glossary for GenAI and DevOps Practitionersβ€’5 minutes
  • Demo for Kubernetes Manifest Generation with ChatGPTβ€’10 minutes
  • Demo for Automated Security Scanning Configuration with GitHub Copilotβ€’10 minutes
  • Demo for Documentation with Claude β€’10 minutes
2 assignmentsβ€’Total 50 minutes
  • Practice Project for DevOps Practitionersβ€’30 minutes
  • GenAI for DevOps Practitionersβ€’20 minutes
1 peer reviewβ€’Total 15 minutes
  • [optional] Practice Project for DevOps Practitionersβ€’15 minutes

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Instructors

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27 Coursesβ€’25,234 learners

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ΒΉ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.