| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction | |||
| 1. Introduction.mp4 | 15.7 MB | ||
| 2 - Generative AI Concepts for DevOps | |||
| 3 - Practical AI-Assisted DevOps | |||
| 10. Reference Source Code.html | 5.6 KB | ||
| 11. AI-Assisted Infrastructure as Code (IaC).mp4 | 12.1 MB | ||
| 12. Demo AI-Assisted Infrastructure as Code (Bicep + GitHub Copilot).mp4 | 168.2 MB | ||
| 12. Prompts - GitHub Gists.url | 102.4 B | ||
| 13. Demo Pipeline Authoring and Optimization Using AI.mp4 | 129.5 MB | ||
| 13. Prompts - GitHub Gist.url | 102.4 B | ||
| 14. Demo AI for Test Strategy and Release Confidence (Description).html | 819.2 B | ||
| 14. Demo AI for Test Strategy and Release Confidence.mp4 | 122.2 MB | ||
| 14. Prompts - GitHub Gists.url | 102.4 B | ||
| 15. Demo AI-Assisted Release Notes Automation (Description).html | 819.2 B | ||
| 15. Demo AI-Assisted Release Notes Automation.mp4 | 131.3 MB | ||
| 15. Prompts - GitHub Gists.url | 102.4 B | ||
| 16. Demo AI-Assisted Incident Response & Root Cause Analysis.mp4 | 59.7 MB | ||
| 16. Prompts - GitHub Gists.url | 102.4 B | ||
| 17. Section Review.mp4 | 7.2 MB | ||
| 4 - DevOps AI Tools, Governance, and Enterprise Readiness | |||
| 18. Section Overview.mp4 | 3.5 MB | ||
| 19. Enterprise AI Tooling Landscape for DevOps.mp4 | 25.4 MB | ||
| 20. Review of AI Tooling Used in DevOps.mp4 | 46.2 MB | ||
| 21. Establishing AI Guardrails for Enterprise DevOps Teams.mp4 | 27.3 MB | ||
| 22. Auditing, Accountability, and Operational Oversight.mp4 | 11.4 MB | ||
| 23. Creating an AI Adoption Playbook for Your Organization.mp4 | 20 MB | ||
| 24. Measuring ROI of AI in DevOps.mp4 | 27.2 MB | ||
| 25. Section Review.mp4 | 5.4 MB | ||
| 5 - Integrating Generative AI into DevOps Pipelines | |||
| 26. Section Overview.mp4 | 5.6 MB | ||
| 27. Reference Source Code.html | 5.6 KB | ||
| 28. Provisioning and Connecting to an AI Engine.mp4 | 55.9 MB | ||
| 29. Designing Deterministic AI Workflow Steps (Description).html | 819.2 B | ||
| 29. Designing Deterministic AI Workflow Steps.mp4 | 101.5 MB | ||
| 30. Orchestrating AI Jobs in GitHub Actions.mp4 | 80.2 MB | ||
| 31. Context Engineering for DevOps AI.mp4 | 101 MB | ||
| 32. Cost & Performance Management for AI Pipelines.mp4 | 144 MB | ||
| 33. Observability and Feedback Loops for AI-Assisted Pipelines.mp4 | 96.8 MB | ||
| 34. Secure Integration Patterns (Technical Security).mp4 | 33.8 MB | ||
| 35. AI-Augmented ChatOps.mp4 | 63 MB | ||
| 36. Section Review.mp4 | 8.2 MB | ||
| 6 - Agentic AI for Advanced DevOps Scenarios | |||
| 37. Section Overview.mp4 | 4.1 MB | ||
| 38. AI Agents 101 Anatomy of an Agent.mp4 | 21.3 MB | ||
| 39. Agentic AI in CI CD Pipelines (Safe and Unsafe Use Cases).mp4 | 13 MB | ||
| 40. Reference Source Code.html | 5.6 KB | ||
| 41. Demo Developing a Minimal DevOps Agent.mp4 | 75.6 MB | ||
| 42. Demo Adding Minimal Agent to a GitHub Workflow.mp4 | 41.7 MB | ||
| 43. Agent Failure Modes in Production.mp4 | 21.7 MB | ||
| 44. Progressive Autonomy Design Model.mp4 | 26.9 MB | ||
| 45. Agentic Patterns in DevOps Workflows (map to PRs, builds, incidents).mp4 | 11.8 MB | ||
| 46. Demo Developing PR Code Quality Suggesting Agent.mp4 | 90.5 MB | ||
| 47. Demo Integrating Agent into PR Code Quality Assessment Workflow.mp4 | 69.6 MB | ||
| 48. Memory in Agentic Systems What to Store, What Not to Store.mp4 | 14.8 MB | ||
| 49. Demo Adding Workflow-Level Memory to a DevOps Agent.mp4 | 94.3 MB | ||
| 50. Tools and MCP Standardizing Context + Actions Across Agents.mp4 | 14.6 MB | ||
| 51. Demo Build an MCP Server For GitHub Tooling.mp4 | 139 MB | ||
| 52. Demo Extend The Agent with MCP Tools.mp4 | 85.9 MB | ||
| 53. Demo Test and Verify the GitHub Workflow using the MCP Agent.mp4 | 64.2 MB | ||
| 54. Multi-Agent Systems for Incident Response.mp4 | 30 MB | ||
| 55. Demo Creating Multi-Agent Implementation.mp4 | 93.9 MB | ||
| 56. Demo Testing a Multi-Agent Workflow.mp4 | 24.1 MB | ||
| 57. Observability and Evaluation of AI Agents.mp4 | 29.2 MB | ||
| 58. Demo Adding Observability and Evaluation to An Agent.mp4 | 118.5 MB | ||
| 59. Demo Visualize Agent Open Telemetry with Aspire.mp4 | 38.6 MB | ||
| 60. Section Review.mp4 | 5.9 MB | ||
| 7 - Conclusion | |||
| 61. Conclusion and Recommendations.mp4 | 31.3 MB | ||
| 9. Section Overview.mp4 | 3.4 MB | ||
| 3. Section Overview.mp4 | 7 MB | ||
| 4. How Can Generative AI Help DevOps Engineers (Description).html | 819.2 B | ||
| 4. How Can Generative AI Help DevOps Engineers.mp4 | 28.4 MB | ||
| 5. Where Generative AI Adds Value in the DevOps Lifecycle (Description).html | 819.2 B | ||
| 5. Where Generative AI Adds Value in the DevOps Lifecycle.mp4 | 43.2 MB | ||
| 6. AI-Assisted vs AI-Autonomous DevOps (Description).html | 819.2 B | ||
| 6. AI-Assisted vs AI-Autonomous DevOps.mp4 | 26.8 MB | ||
| 7. Risk Awareness Hallucinations, Drift, and Overreach.mp4 | 26.5 MB | ||
| 8. Section Review.mp4 | 6.3 MB | ||
| 2. Course Scope and Tooling.mp4 | 4.6 MB |
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
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