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Generative AI (GenAI) for DevOps and DevSecOps Engineers (Udemy.com)

Gen AI for DevOps and DevSecOps Engineers | Learn about Basics of Gen AI | Use Gen AI Models Online and on Local Machine

4.5
2,823 reviews

Created by: Raghu The Security Expert

Last updated October 2025

Our take

Based on the ratings of 2,823 students, a sample of their written reviews and the syllabus, as the course stood in October 2025. No course pays to be reviewed.

This is a short, practical primer for DevOps and DevSecOps people who want to see generative AI used on their own machine. The syllabus shows about 3.4 hours across 27 lectures. Roughly 70 minutes cover AI basics, and the rest is split between running models locally and two case studies, including a PersonalGPT that reads log files. The listing was last updated in October 2025, and its notes mention April 2025 fixes to the Conda install and the PersonalGPT libraries.

Reviewers like how clearly Raghu explains things. They mention repeated key points, summaries and real time examples that make the concepts easy to follow. The local install labs get specific praise. The complaints are small. One three star reviewer wanted more underlying theory instead of isolated procedures. Another notes you need several tools set up first, such as Python, Ollama, PrivateGPT and GPT4all. A single one star review calls it unuseful without saying why. Only about 50 of 2,823 ratings are one or two stars.

At 4.5 stars with over 12,000 students, it is well liked for what it is: quick and focused, not deep. Pick it if you want a working local setup and a log analysis example in an afternoon. Look elsewhere for theory or production pipelines. One reviewer says learners need step by step guidance for installing tools, so plan to follow along at the keyboard rather than just watch.

Best forDevOps engineers who want a quick, practical start with local AI models and a log analysis demo.
Skip it ifYou want deep AI theory or a long project course; this is about three and a half hours of basics and demos.

Pros

  • Clear explanations with repeated key points and summaries, according to reviewers
  • Labs show how to install an LLM on your own machine, which students single out
  • Two case studies, including a PersonalGPT that reads log files
  • Short at 3.4 hours and updated as recently as October 2025

Cons

  • Light on underlying theory; one reviewer wanted core concepts, not isolated procedures
  • Needs several tools installed first, such as Python, Ollama and GPT4all
  • Only 3.4 hours, with no coding exercises or practice tests to check your work
Enjoyed the hands on labs that showed how to install LLM locally on your own machine
Anonymized User, a student

Suits people new to AI who already know DevOps; the only stated requirement is a basic grasp of DevOps and DevSecOps.

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What you will learn

  • Create Spring Boot Rest API application to implement Gen AI using Open source models and feed live data to these Gen AI Models
  • Implement PersonalGPT using open source Gen AI Models at $0 cost
  • Understand AI and ML Fundamentals from basic AI terms to complex terms like Models with real life scenario
  • Learn Prompt Engineering strategies to effectively use Gen AI Models for DevOps and DevSecOps tasks
  • Utilize Generative Models for DevOps and DevSecOps tasks
  • Run Gen AI Models on your local system
  • Learn to use Python SDKs for AI Integration
  • Execute Real-World Case Studies for DevOps and DevSecOps tasks

Course content

6 sections · 27 lectures · 3.4 hours of video 1 quiz, 1 article

  1. 1Introduction 1 free preview1 lecture · 8 min
  2. 2Generative AI Basics 2 free previews11 lectures · 1 quiz · 1.2 hours
  3. 3Hands-On: Run Gen AI Models on your Local System2 lectures · 21 min
  4. 4Implement Case Study using Generative AI on Local System - PersonalGPT 1 free preview7 lectures · 54 min
  5. 5Implement 2nd Case Study using Generative AI on Local System5 lectures · 47 min
  6. 6Next Steps1 lecture · 2 min

Who it is for

The instructor says it suits

  • DevOps Engineers
  • DevSecOps Engineers
  • IT Engineers
  • Technologists and Engineers
  • Machine Learning Enthusiasts
  • Automation and Security Professionals

What you need before you start

  • Basic Understanding of DevOps and DevSecOps

How it compares

Against the other 523 rated Udemy courses in Hacking on CourseDuck:

  • Rating4.5 out of 5higher than 51% of them
  • Reviews2,823#71 of 524 by number of reviews
  • Length3.4 hoursshorter than 66% of them
  • Last updatedOctober 2025more recently than 53% of them

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Course Description

Disclosure: This course contains the use of artificial intelligence.


Course Updates:

v 3.0 - April 2025

  • Made updates to Lecture 18 for installing Conda as per latest changes

  • Fixed library issues in Lecture 21 Implementing our PersonalGPT

v 2.0 - December 2024

  • Added Spanish subtitles

v 1.0 - October 2024

  • Added Quiz in Section 2


Course Description:

Unlock the future of DevOps with our comprehensive course, "Mastering Generative AI for DevOps Engineers." This program is designed to bridge the gap between AI theory and practical applications, equipping you with the skills to leverage generative AI in your DevOps and DevSecOps workflows.


Course Highlights:

  • Foundations of AI and ML: Begin with a solid understanding of artificial intelligence and machine learning, including their types and core principles. Learn the basics of generative models and how they can be applied in the DevOps domain.

  • Exploring Generative Models: Dive into the workings of models like ChatGPT and Copilot. Understand their architecture, capabilities, and how they can enhance your DevOps practices.

  • Prompt Engineering: Gain expertise in prompt engineering to effectively communicate with AI models. Learn techniques to craft prompts that elicit precise and useful responses for various DevOps tasks.

  • AI Model Integration with Python: Discover how to use generative AI models with Python SDKs, even without internet connectivity. Learn to implement and utilize these models in your local environment for maximum flexibility and security.

  • Case Study Implementation: Apply your knowledge in a practical case study. Develop a personal GPT model to read and analyze log files, identifying errors and providing actionable insights for DevOps and DevSecOps tasks.

  • Hands-On Learning: Engage in interactive exercises and real-world scenarios to reinforce your learning. Develop your own AI-driven solutions and see how generative models can address specific challenges in DevOps environments.


Who Should Enroll:

This course is tailored for DevOps engineers, IT professionals, and technologists eager to integrate generative AI into their workflows. Whether you're new to AI or looking to expand your knowledge, this course will provide you with practical skills and insights to enhance your DevOps practices.

Join us to explore how generative AI can transform your DevOps operations and gain a competitive edge with innovative, AI-driven solutions!


Note: Subtitles for this course are autogenerated using advanced tools and might contain minor inaccuracies. We recommend using them as a helpful guide rather than a definitive source. Thank you for understanding!
Read More All Levels All Levels product length iconTime: 3.4h

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Instructor Details

Raghu The Security Expert

With over 20 years of experience in security, automation, development, Gen AI and teaching, I’ve mastered and earned numerous prestigious certifications across Microsoft, Google, and AWS cloud platforms. I’m passionate about both learning and teaching new technologies, always eager to explore the latest advancements. I take pride in guiding students and professionals, offering hands-on, interactive learning experiences that empower them to upskill effectively. Whether it’s diving deep into security concepts or navigating cloud infrastructure, I’m here to make complex topics approachable and engaging.

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Reviews

4.5

2,823 ratings on Udemy

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By Nikhil Jain on 7/2/2026

learners need the same thing that i how to integrate AI in his Devops task. learners need step-by-step guidance to install the tools , code etc to test the use case of devops

By Gokul S on 6/21/2026

good for understanding

By Sobers Dsouza on 4/25/2026

Good courese for DevOps engineers who want to integrate AI into DevOps and DevSecOps practices

By Nagesh M on 4/1/2026

Good course—clear explanations, practical examples, and very helpful for real-world application.

By Anonymized User on 2/13/2026

Enjoyed the hands on labs that showed how to install LLM locally on your own machine

By Anonymized User on 2/4/2026

This course is very useful for new build and integration of AI. Also we need all the mentioned app access to build new one like python, ollama,PriavateGPT,GPT4all etc.

By Dan Collier on 1/26/2026

Need more core underlying concepts, theories, and relationships within a subject, as opposed to just learning isolated facts or procedures.

By Sandesh Prasai on 11/18/2025

it gave me lot of idea to configure genAI locally, even integrate with projects during the runtime.

By Arshad Khan on 11/16/2025

Really this video is amazing. I have got so much confidence and clarity by just watching the introduction. Hats off to you Sir, keep up the good work.

By Ashish Kumbhar on 11/10/2025

This course helped me to understand AI concepts very easily, Author put great efforts to make this such wonderful course. Specially I liked the concept of Ollama WebUI. It is private GPT you can have in your local machine. Hence no need to worry about exposing your code in external world. This course is very much recommended. Thanks..

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Overall Score : 90 / 100

Generative AI (GenAI) for DevOps and DevSecOps Engineers
Visit course on Udemy Write a review
  • Video Duration: icon 3.4h
  • Price: $10.99
  • Provider: icon Udemy
  • Updated: icon October 2025
  • Level: All Levels All Levels
  • Language: icon English
  • Certificate: icon Yes
  • Lectures:27 in 6 sections
  • Practice:1 quiz
  • Students:12,100
  • Subtitles:10 languages
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