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  1. Courses
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  3. GenAI for DevOps Practitioners

GenAI for DevOps Practitioners

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.

Ritesh Vajariya
Ritesh Vajariya
Data Science | intermediate | 2 hours |   Published: Nov 2024
In partnership with:  Coursera

    Discussions

Overview

1KSTUDENTS*
98.9%RECOMMEND*

This course includes:

  • 2 hours of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

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. 

Skills You Will Gain

Automation
Documentation
Risks

Learning Outcomes (At the end of this program you will be able to)

  • 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.

Prerequisites

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.
 

Who Should Attend

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.
 

Curriculum

Instructors

Frequently Asked Questions

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*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Module 1: GenAI for DevOps Practitioners
Ritesh Vajariya

Ritesh Vajariya

Ritesh is a dedicated AI strategist and educator, committed to empowering individuals and organizations with the transformative power of artificial intelligence. Over the years, he has guided leaders across the globe in crafting and executing impactful AI strategies, helping them navigate the complexities of AI adoption and integration. His journey in the AI field has seen him lead innovative projects, mentor aspiring AI professionals, and contribute to the development of cutting-edge AI technologies.

Passionate about demystifying AI, Ritesh strives to make it accessible to everyone, regardless of their background or expertise. He has worked closely with C-level executives, spearheading the creation of advanced AI solutions and playing a pivotal role in launching groundbreaking AI products that have reshaped industries. His AI for Leaders program has educated over 1,000 leaders, fostering AI-driven business transformation and career growth.

Beyond teaching, Ritesh actively advises early-stage companies in the AI, education, cloud, and SaaS sectors, enriching his understanding of the evolving technological landscape. His diverse experience allows him to provide holistic guidance to those looking to leverage AI in their ventures.

With a mission to make AI knowledge not just an asset but a catalyst for innovation, Ritesh continues to drive meaningful change, helping businesses and individuals unlock new opportunities in the AI-driven world.

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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