UDEMY.GitLab.Duo.AI.for.DevOps.CI.CD.Agentic.Coding.2026.BOOKWARE-MiMiR

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eBooks/Audiobooks

Group

MiMiR

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3,85 GB

Files

30

Date

2026-05-27

NFO

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.

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