GenAI for DevOps Practitioners
Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.
GenAI for DevOps Practitioners
This course is part of Building Smarter Software: GenAI Tools and Practices Specialization
Instructors: Ritesh Vajariya
Included with
Learn more
Ask Coursera
Recommended experience
Recommended experience
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.
Skills you'll gain
Tools you'll learn
Details to know
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
- 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: Whatβs 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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructors
Offered by
Explore more from Machine Learning
- Status: Free TrialC
Coursera
Course
- C
Coursera
Course
- Status: PreviewC
Coursera
Course
- Status: Free Trial
Specialization
Why people choose Coursera for their career
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you canβt afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, youβll find a link to apply on the description page.
More questions
Financial aid available,
ΒΉ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.
