| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction | |||
| 1. Course Introduction.mp4 | 85.6 MB | ||
| 10 - The future of AI in SRE | |||
| 11 - Security and ethics in AI for SRE | |||
| 12 - Conclusion | |||
| 2 - Introduction to AI in SRE | |||
| 10. What is AI ML - Part2.mp4 | 73.5 MB | ||
| 11. What is AI ML - Part3.mp4 | 29.8 MB | ||
| 12. Summary.mp4 | 9.8 MB | ||
| 3 - Why AI for SRE | |||
| 13. Basics of AI ML relevance to SRE.mp4 | 55.3 MB | ||
| 14. Benefits of AI for SRE.mp4 | 173.4 MB | ||
| 15. Benefits of AI for SRE - Overview.mp4 | 4.8 MB | ||
| 16. Intelligent log analysis with example.mp4 | 56.2 MB | ||
| 17. AI-driven metric baselining and trend detection with example.mp4 | 33.5 MB | ||
| 18. Event correlation and noise reduction with AI with example.mp4 | 37 MB | ||
| 19. Predictive alerting with example.mp4 | 38.6 MB | ||
| 20. How to use AI for SRE.mp4 | 5.8 MB | ||
| 21. Ready made 3rd party solutions.mp4 | 17.3 MB | ||
| 22. Native solutions provided by monitoring tools itself.mp4 | 40.2 MB | ||
| 22. Native-App-Reference.pdf | 126.3 KB | ||
| 23. Build your own with example.mp4 | 64.4 MB | ||
| 24. AI in incident management - what is incident management in SRE.mp4 | 3.5 MB | ||
| 25. Where does AI fit in.mp4 | 3.7 MB | ||
| 26. How AI helps in each stage.mp4 | 55.9 MB | ||
| 27. AI assisted Incident management example with pros and cons.mp4 | 22.6 MB | ||
| 4 - AI in Infra | |||
| 28. Relevance of AI for Infra.mp4 | 20.8 MB | ||
| 29. Benefits of AI for Infra.mp4 | 41.4 MB | ||
| 30. How to use AI for Infra.mp4 | 19.4 MB | ||
| 31. Simulation Exercise.mp4 | 20.9 MB | ||
| 32. Summary.mp4 | 7.4 MB | ||
| 5 - AI in change and release management | |||
| 33. Chapters list.mp4 | 8.9 MB | ||
| 34. Introduction.mp4 | 9.1 MB | ||
| 35. Risk prediction for new releases.mp4 | 26.1 MB | ||
| 36. Intelligent canary analysis and automated rollback.mp4 | 30.4 MB | ||
| 37. Continuous verification with AI-powered monitoring.mp4 | 23 MB | ||
| 38. AI for deployment automation & quality assurance.mp4 | 59.6 MB | ||
| 39. Simulation Exercise - Canary Analysis with AI Powered Rollback.mp4 | 66.8 MB | ||
| 39. modeul4-canary-config.json | 716.8 B | ||
| 39. modeul4-deployment-pipeline.yaml | 614.4 B | ||
| 39. modeul4-notification.yaml | 102.4 B | ||
| 39. modeul4-rollback.yaml | 102.4 B | ||
| 6 - Quick summary - what we have learned so far | |||
| 40. What we have learned so far.mp4 | 48.1 MB | ||
| 7 - Building AI enabled SRE workflow | |||
| 41. Chapters list.mp4 | 11.7 MB | ||
| 42. Comparison between how SRE works as human v s SRE tasks AI enabled.mp4 | 85.9 MB | ||
| 43. CICD-Pipeline.pdf | 32.9 KB | ||
| 43. Integrating AI tools into CI CD pipelines with coding simulation.mp4 | 106.4 MB | ||
| 43. Jenkins-Pipeline.pdf | 22.3 KB | ||
| 43. ai-risk-predictor.py | 3 KB | ||
| 43. canary-deploy.pdf | 27.8 KB | ||
| 43. canary-score.py | 3 KB | ||
| 43. output.pdf | 19.9 KB | ||
| 44. Open-source tools & frameworks for AI in Ops.mp4 | 25 MB | ||
| 45. Leveraging cloud-native AIOps platforms.mp4 | 16.7 MB | ||
| 46. AI-augmented-SRE-workflows.pdf | 84.9 KB | ||
| 46. Case studies AI-augmented SRE workflows.mp4 | 52.7 MB | ||
| 8 - Implementing and integrating AI in SRE | |||
| 47. Chapters list.mp4 | 6.5 MB | ||
| 48. Choosing the right tools.mp4 | 22.5 MB | ||
| 49. Building your own AI SRE solution.mp4 | 40.2 MB | ||
| 49. Detecting-log-anomalies.pdf | 18 KB | ||
| 49. Predicting-CPU-overload.pdf | 20.7 KB | ||
| 50. Best practices for adoption.mp4 | 14.6 MB | ||
| 51. Human-in-the-loop - with example.mp4 | 10.2 MB | ||
| 52. Summary.mp4 | 15.3 MB | ||
| 9 - Challenges and feature of AI in SRE | |||
| 53. Chapters list.mp4 | 8.5 MB | ||
| 54. Limitations of AI in Ops.mp4 | 12.3 MB | ||
| 55. Code-example-false-positive-scenario.pdf | 22.4 KB | ||
| 55. Simulation Example - False Positive.mp4 | 9.7 MB | ||
| 56. Human-in-the-loop Balancing AI automation with SRE judgment.mp4 | 8.8 MB | ||
| 57. Code-example-SRE-approval-before-rollback.pdf | 31.9 KB | ||
| 57. Simulation Example - Human in Loop.mp4 | 11.1 MB | ||
| 58. Future trends.mp4 | 10.9 MB | ||
| 59. Code-example-Self-healing-logic.pdf | 22.7 KB | ||
| 59. Simulation Exercise - Self Healing.mp4 | 4.6 MB | ||
| 60. Preparing for the AI-driven SRE role.mp4 | 6.2 MB | ||
| 61. Summary.mp4 | 3.2 MB | ||
| 4. AI in SRE - introduction.mp4 | 7.7 MB | ||
| 5. What is SRE - Part1.mp4 | 75.1 MB | ||
| 6. What is SRE - Part2.mp4 | 67.2 MB | ||
| 7. What is SRE - Part3.mp4 | 19.7 MB | ||
| 8. What is infrastructure engineering and DevOps.mp4 | 48.1 MB | ||
| 9. What is AI ML - Part1.mp4 | 41.1 MB | ||
| 72. Thank You.mp4 | 66.7 MB | ||
| 66. Chapters list.mp4 | 6.6 MB | ||
| 67. AI in Security SRE (SecSRE) with simulation example.mp4 | 18.1 MB | ||
| 67. Code-example-AI-based-anomaly-detection-in-security-logs.pdf | 24 KB | ||
| 68. Ethical Considerations in AI for SRE with use case examples.mp4 | 10.9 MB | ||
| 69. Governance and Best Practices.mp4 | 13 MB | ||
| 70. Detect-and-fix-bias.pdf | 26.3 KB | ||
| 70. Simulation Exercise - Analyze and fix a biased data.mp4 | 6.3 MB | ||
| 71. Summary.mp4 | 5.8 MB | ||
| 62. Chapters list.mp4 | 4.4 MB | ||
| 63. The role of Generative AI with case study examples.mp4 | 45.3 MB | ||
| 64. AI Reliability Engineering with use case.mp4 | 38 MB | ||
| 65. Summary.mp4 | 5 MB | ||
| 2. Contents of the course.mp4 | 85.4 MB | ||
| 3. Meet the instructor.mp4 | 53.4 MB |
AI for SRE & DevOps: A Practical Guide to AIOps
https://WebToolTip.com
Published 2/2026
Created by Nidhi Singh
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 72 Lectures ( 3h 57m ) | Size: 2.24 GB
Build intelligent, reliable systems using AI, AIOps, and real-world SRE practices
What you'll learn
✓ Learn the fundamentals of AI and Machine Learning
✓ How to apply AI/ML to SRE, DevOps, and Infrastructure operations
✓ Understand why AI is important for modern SRE
✓ Build an AI-enabled SRE workflow by integrating AI tools into CI/CD pipelines
✓ Understand the challenges and limitations of AI in SRE
✓ Prepare for next-generation SRE roles
Requirements
● Basic understanding of IT systems and interest in SRE, DevOps, Infrastructure, or Cloud Engineering
● No prior experience in AI or Machine Learning is required. All AI and ML concepts are explained in simple English, starting from the basics and gradually moving to practical, real-world examples.
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 3.5 GB | freecoursewb | 3 days | 71 | 18 | |
| 1.1 GB | freecoursewb | 3 days | 40 | 6 | |
| 483.5 MB | freecoursewb | 1 week | 15 | 3 | |
| 2.8 GB | freecoursewb | 1 week | 46 | 16 | |
| 2.3 GB | freecoursewb | 1 week | 1 | 2 |
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