GitLab Duo: AI for DevOps, CI/CD & Agentic Coding (Udemy.com)
Leverage GitLab Duo Agent Platform for Agentic DevOps, Planning, and AI Coding to optimize your CI/CD and DevSecOps flow
Created by: Valentin Despa
Last updated May 2026
What you will learn
- Use the GitLab Duo Agent Platform for day to day work
- Utilize the Planner Agent for strategic backlog management
- Execute Complex Development Tasks with the Software Development Flow
- Automate Merge Request Generation via the Developer Flow
- Perform AI-Driven Code Reviews with the Code Review Flow
- Create and Optimize CI/CD Pipelines using agentic chat
- Troubleshoot and Fix Pipeline Failures
- Analyze and Resolve Vulnerabilities using the Security Analyst
How it compares
Against the other 518 rated Udemy courses in Software Development on CourseDuck:
- Rating4.7 out of 5higher than 79% of them
- Reviews95#447 of 519 by number of reviews
- Length2.9 hoursshorter than 80% of them
- Last updatedMay 2026more recently than 73% of them
Course Description
This course is designed to teach GitLab users how to integrate the GitLab Duo Agent Platform into their daily workflows to streamline the entire development lifecycle and achieve true Agentic DevOps.
The GitLab Duo Agent Platform is the next evolution of GitLab’s AI features, adding true agentic capabilities for complex, multi-step tasks where the AI can reason and execute workflows more independently.
Upon completion of this course, you will be able to:
Master AI Agent Fundamentals by differentiating between non-agentic AI tools (like Code Suggestions and Duo Chat) and the advanced capabilities of the GitLab Duo Agent Platform.
Accelerate Planning and Backlog Management utilizing the specialized Planner Agent to create structured work items from unstructured ideas, break down large initiatives, and manage prioritization using frameworks like RICE.1
Drive AI-Powered Development using Foundational Flows and the GitLab extension for common use-cases such as code refactoring, automating documentation, generating testing plans, and using the Code Review Flow to assign automated review comments and check for best practices in merge requests.
Automate CI/CD and Troubleshooting by using agentic chat to create and modify GitLab CI/CD pipelines, and applying the dedicated Fix CI/CD Pipeline Flow to troubleshoot and resolve common CI/CD failures.
Integrate DevSecOps by using AI to analyze vulnerabilities in the Vulnerability Report and applying the Security Analyst agent to fix issues and address security compliance standards (e.g., OWASP, SOC 2).
Utilize Advanced Tools, including the Duo CLI for command-line interaction and configuring custom agents and flows to meet specific team requirements.
Who is this course for?
This course is ideal for professionals already familiar with GitLab, CI/CD, and DevOps fundamentals, as it is not an introductory course to DevOps.
It is specifically aimed at developers who want to reduce the time spent on non-coding tasks by leveraging AI agents across the development lifecycle. Furthermore, it is highly relevant for Product Managers and planning professionals who utilize tools like the specialized Planner Agent for strategic backlog management, prioritization and effort estimation.
Legal Disclaimer
This course is an independent educational resource and is not endorsed by, affiliated with, or associated with GitLab Inc. or any of its products or services. GitLab and the GitLab logo are trademarks of GitLab Inc. All product names, logos, and brands mentioned in this course are the property of their respective owners.
This course contains promotional materials.
Instructor Details
- 4.7 Rating
95 Reviews
Valentin Despa
I teach IT professionals what I wish I'd known earlier.
My foundation is built on years in the trenches as an Agile Enterprise Software Developer, engineering solutions for everything from fast-paced start-ups and SMBs to large global corporations. I hold recognized roles as an AWS Community Builder, Postman Supernova, and GitLab Hero, alongside a deep history of securing and building major open-source projects.
For over a decade, I've taken that real-world experience and quietly built one of the largest learning communities around API tooling, test automation, and DevOps practices. What started as a side YouTube channel turned into hundreds of thousands of learners, conference talks, and team workshops at companies most IT professionals have heard of.
The thread through all of it is the same: take something that looks intimidating and break it down so anyone can understand it in plain language.
Lately, I've been spending more time on practical AI in the workplace. I look at how teams can leverage AI for both everyday knowledge work and hands-on IT engineering, like coding and testing. I focus on cutting through the hype to figure out how AI actually helps IT professionals get work done, build, and ship faster. New formats, same approach.
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Reviews
By Orlando Castejón on 8/30/2026
Excelent course
By Andrea Angulo Pereda on 8/26/2026
Muy completo y bien explicado
By raj k on 8/21/2026
basic overview for Igtlab Duo
By Karthik Rajagopal on 8/8/2026
Awesome Course :)
By Ioannis Pafilis on 7/18/2026
Course provided all needed info to get full understanding of how Gitlab Duo works, what it offers and how to perform basic and advanced tasks, all these in very short time. Presenter's pace and wording is clear and easy to follow.
By Benjamin Tan on 4/29/2026
I think its a good introduction to Gitlab Duo. It had covered most of the interesting thing you can do with the Agentic AI feature Thank you for sharing.
By Venkatesh Prasanth M on 3/30/2026
Thanks for making such a lovely course.
By Vudutha Sravan on 7/12/2026
By Dhanashri Bhure on 4/18/2026
Quality Score
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Overall Score : 94 / 100









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