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.
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.
Learners will also consider the ethical concerns surrounding the use of GenAI in DevOps, examining potential risks and challenges, as well as best practices for responsible implementation. By the end of this course, DevOps practitioners will be equipped with the knowledge and skills to start scaling their productivity by harnessing the transformative potential of GenAI.
Throughout the course, learners will apply GenAI tools and techniques to a real-world example project, gaining practical experience in using GenAI for DevOps tasks.
Whether you're an experienced DevOps engineer looking to stay ahead of the curve or an aspiring professional seeking to future-proof your skillset, this course provides a foundation that will empower you to unlock new levels of efficiency, productivity, and creativity in your work.
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.
Explore a structured set of chapters designed to build your skills step by step, with practical examples and hands-on applications.

We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.
Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.
Ritesh Vajariya
No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.
Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.
We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.
Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.
Segment 01 - Introduction to GenAI for DevOps Practitioners
Segment 02 - Glossary for GenAI and DevOps Practitioners
Segment 03 - History & Background for GenAI and DevOps Practitioners
Segment 04 - Demo for Crafting Microservice Architecture for E-Com Platform with ChatGPT
Segment 05 - Demo for Kubernetes Manifest Generation with ChatGPT
Segment 06 - Demo for Automated Security Scanning Configuration with GitHub Copilot
Segment 07 - Remediating Risks and Ethical Concerns
Segment 08 - Demo for Creation of Infrastructure as Code for E-Com Platform Modernization
Segment 09 - Demo for Documentation with Claude
Segment 10 - Practice Project for DevOps Practitioners
Segment 11 - Closing Thoughts: What’s Next