Mimir, Keeper of the Well of Wisdom
GitLab Duo: AI for DevOps, CI/CD & Agentic Coding
https://www.udemy.com/course/gitlab-duo-agentic-ai-development-
cicd-devops/
Year : 2026
Language : English
Level : All Levels
Category : Development
Subcategory : Software Engineering
Duration : 2h 53m
Lectures : 39
Rating : 4.6/5 (32 reviews)
Students : 391
INSTRUCTOR(S)
HEADLINE
Leverage GitLab Duo Agent Platform for Agentic DevOps,
Planning, and AI Coding to optimize your CI/CD and DevSecOps
flow
WHAT YOU'LL 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
REQUIREMENTS
* GitLab .com account (not self-hosted)
* GitLab Duo Ultimate (free trial is fine)
* Basic understanding of core GitLab features
* Basic understanding of core GitLab CI/CD features
WHO IS THIS COURSE FOR
* Developers & Software Engineers
* DevOps Engineers and CI/CD Specialists
* Quality Assurance Engineers/Testers
* Security and DevSecOps Practitioners
* Product Managers
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.
COURSE CONTENT
Chapter 1: Introduction
1. Introduction to the course
2. GitLab Duo Overview
3. Introduction to Agentic AI
4. GitLab project setup
5. Enabling GitLab Duo Agentic Chat
Chapter 2: GitLab Duo in Planning and Backlog Management
6. Section overview
7. Section resources
8. Creating new work items (issues, tasks)
9. Backlog management (Prioritization, Dependency analysis,
Estimation)
Chapter 3: Coding with GitLab Duo (AI-Driven Development)
10. Section overview
11. Section resources
12. GitLab IDE extension
13. IDE extension - GitLab Duo Chat
14. IDE extension - GitLab Duo Agent Platform
15. GitLab Duo Foundational Flows
16. Software Development Flow
17. Developer flow (transform issues into Merge Requests)
18. Code review flow
19. Common use-cases
Chapter 4: AI-Driven CI/CD & Automation with GitLab Duo
20. Section overview
21. Section resources
22. Creating a GitLab CI/CD pipeline
23. CI expert agent
24. Modifying a GitLab CI/CD pipeline
25. Pipeline Troubleshooting
26. Pipeline performance improvements
27. Convert Jenkins pipeline (Jenkinsfile) to GitLab
Chapter 5: DevSecOps with GitLab Duo
28. Section overview
29. Section resources
30. Common security scanning types
31. Adding security scans (Dependency Scanning, SAST)
32. Analyzing vulnerabilities - Understanding the
Vulnerability Report
33. False Positive Detection
34. Fixing security issues with the Security Analyst agent
35. AI security analysis (Security Analyst agent)
Chapter 6: Conclusion
36. Section overview
37. AI Catalog
38. Custom agents
39. Bonus lecture
DATES
Published : 2026-03-25
Last Updated : 2026-05-06
If you fear the truth, dont come to my well.