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Generative AI for DevOps
https://WebToolTip.com
Published 3/2026
Created by Trevoir Williams
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 61 Lectures ( 5h 8m ) | Size: 2.74 GB
Use Generative AI, GitHub Copilot, Azure OpenAI, GitHub Actions, and .NET 10 to modernize DevOps Workflows
What you'll learn
✓ Apply Generative AI across the DevOps lifecycle for coding, pipelines, infrastructure, testing, release management, and incident response.
✓ Utilize Copilot to streamline CI/CD workflows.
✓ Automate repetitive DevOps tasks with Copilot.
✓ Enhance infrastructure as code (IaC) practices.
✓ Troubleshoot and monitor with AI assistance.
✓ Develop DevOps tuned AI Agents
✓ Implemented Autonomous AI Agents
✓ Integreate LLM Reasoning into GitHub Workflows
✓ Understand the difference between AI-assisted and AI-autonomous DevOps, including safe and unsafe use cases.
✓ Use AI for ChatOps, release notes, test strategy, root cause analysis, and documentation workflows.
✓ Add observability, evaluation, and feedback loops to AI-assisted pipelines and agents.
✓ Improve DevOps outcomes with better prompt engineering and context engineering for operational tasks.
✓ Design deterministic and secure AI-assisted workflow steps for GitHub Actions and pipeline automation.
✓ Build and extend a minimal DevOps agent, add memory carefully, and integrate MCP-based tooling into workflows.
✓ Establish enterprise guardrails for security, compliance, accountability, and responsible AI use in DevOps teams.
Requirements
● Git and GitHub fundamentals
● Basic command-line usage
● A GitHub account (personal or enterprise).
● Basic cloud and infrastructure concepts
● Core DevOps concepts such as CI/CD, pull requests, source control, pipelines, and release workflows
● Intermediate development experience with C# and .NET is helpful because the course examples are standardized on .NET
● Familiarity with Azure and GitHub Actions will help you move faster through the s |
[ WebToolTip.com ] Udemy - Generative AI for DevOps
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Get Bonus Downloads Here.url (0.2 KB)
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1 - Introduction
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1. Introduction.mp4 (15.7 MB)
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2. Course Scope and Tooling.mp4 (4.6 MB)
2 - Generative AI Concepts for DevOps
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3. Section Overview.mp4 (7.0 MB)
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4. How Can Generative AI Help DevOps Engineers (Description).html (0.8 KB)
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4. How Can Generative AI Help DevOps Engineers.mp4 (28.4 MB)
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5. Where Generative AI Adds Value in the DevOps Lifecycle (Description).html (0.8 KB)
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5. Where Generative AI Adds Value in the DevOps Lifecycle.mp4 (43.2 MB)
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6. AI-Assisted vs AI-Autonomous DevOps (Description).html (0.8 KB)
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6. AI-Assisted vs AI-Autonomous DevOps.mp4 (26.8 MB)
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7. Risk Awareness Hallucinations, Drift, and Overreach.mp4 (26.5 MB)
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8. Section Review.mp4 (6.3 MB)
3 - Practical AI-Assisted DevOps
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10. Reference Source Code.html (5.6 KB)
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11. AI-Assisted Infrastructure as Code (IaC).mp4 (12.1 MB)
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12. Demo AI-Assisted Infrastructure as Code (Bicep + GitHub Copilot).mp4 (168.2 MB)
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12. Prompts - GitHub Gists.url (0.1 KB)
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13. Demo Pipeline Authoring and Optimization Using AI.mp4 (129.5 MB)
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13. Prompts - GitHub Gist.url (0.1 KB)
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14. Demo AI for Test Strategy and Release Confidence (Description).html (0.8 KB)
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14. Demo AI for Test Strategy and Release Confidence.mp4 (122.2 MB)
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14. Prompts - GitHub Gists.url (0.1 KB)
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15. Demo AI-Assisted Release Notes Automation (Description).html (0.8 KB)
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15. Demo AI-Assisted Release Notes Automation.mp4 (131.3 MB)
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15. Prompts - GitHub Gists.url (0.1 KB)
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16. Demo AI-Assisted Incident Response & Root Cause Analysis.mp4 (59.7 MB)
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16. Prompts - GitHub Gists.url (0.1 KB)
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17. Section Review.mp4 (7.2 MB)
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9. Section Overview.mp4 (3.4 MB)
4 - DevOps AI Tools, Governance, and Enterprise Readiness
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18. Section Overview.mp4 (3.5 MB)
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19. Enterprise AI Tooling Landscape for DevOps.mp4 (25.4 MB)
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20. Review of AI Tooling Used in DevOps.mp4 (46.2 MB)
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21. Establishing AI Guardrails for Enterprise DevOps Teams.mp4 (27.3 MB)
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22. Auditing, Accountability, and Operational Oversight.mp4 (11.4 MB)
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23. Creating an AI Adoption Playbook for Your Organization.mp4 (20.0 MB)
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24. Measuring ROI of AI in DevOps.mp4 (27.2 MB)
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25. Section Review.mp4 (5.4 MB)
5 - Integrating Generative AI into DevOps Pipelines
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26. Section Overview.mp4 (5.6 MB)
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27. Reference Source Code.html (5.6 KB)
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28. Provisioning and Connecting to an AI Engine.mp4 (55.9 MB)
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29. Designing Deterministic AI Workflow Steps (Description).html (0.8 KB)
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29. Designing Deterministic AI Workflow Steps.mp4 (101.5 MB)
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30. Orchestrating AI Jobs in GitHub Actions.mp4 (80.2 MB)
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31. Context Engineering for DevOps AI.mp4 (101.0 MB)
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32. Cost & Performance Management for AI Pipelines.mp4 (144.0 MB)
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33. Observability and Feedback Loops for AI-Assisted Pipelines.mp4 (96.8 MB)
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34. Secure Integration Patterns (Technical Security).mp4 (33.8 MB)
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35. AI-Augmented ChatOps.mp4 (63.0 MB)
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36. Section Review.mp4 (8.2 MB)
6 - Agentic AI for Advanced DevOps Scenarios
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37. Section Overview.mp4 (4.1 MB)
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38. AI Agents 101 Anatomy of an Agent.mp4 (21.3 MB)
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39. Agentic AI in CI CD Pipelines (Safe and Unsafe Use Cases).mp4 (13.0 MB)
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40. Reference Source Code.html (5.6 KB)
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41. Demo Developing a Minimal DevOps Agent.mp4 (75.6 MB)
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42. Demo Adding Minimal Agent to a GitHub Workflow.mp4 (41.7 MB)
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43. Agent Failure Modes in Production.mp4 (21.7 MB)
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44. Progressive Autonomy Design Model.mp4 (26.9 MB)
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45. Agentic Patterns in DevOps Workflows (map to PRs, builds, incidents).mp4 (11.8 MB)
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46. Demo Developing PR Code Quality Suggesting Agent.mp4 (90.5 MB)
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47. Demo Integrating Agent into PR Code Quality Assessment Workflow.mp4 (69.6 MB)
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48. Memory in Agentic Systems What to Store, What Not to Store.mp4 (14.8 MB)
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49. Demo Adding Workflow-Level Memory to a DevOps Agent.mp4 (94.3 MB)
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50. Tools and MCP Standardizing Context + Actions Across Agents.mp4 (14.6 MB)
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51. Demo Build an MCP Server For GitHub Tooling.mp4 (139.0 MB)
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52. Demo Extend The Agent with MCP Tools.mp4 (85.9 MB)
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53. Demo Test and Verify the GitHub Workflow using the MCP Agent.mp4 (64.2 MB)
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54. Multi-Agent Systems for Incident Response.mp4 (30.0 MB)
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55. Demo Creating Multi-Agent Implementation.mp4 (93.9 MB)
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56. Demo Testing a Multi-Agent Workflow.mp4 (24.1 MB)
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57. Observability and Evaluation of AI Agents.mp4 (29.2 MB)
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58. Demo Adding Observability and Evaluation to An Agent.mp4 (118.5 MB)
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59. Demo Visualize Agent Open Telemetry with Aspire.mp4 (38.6 MB)
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60. Section Review.mp4 (5.9 MB)
7 - Conclusion
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61. Conclusion and Recommendations.mp4 (31.3 MB)
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Bonus Resources.txt (0.1 KB)
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