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Designing and Implementing a Data Science Solution on Azure DP 1

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Uploader: freecoursewb
Source: 1 Logo 1337x
Type: Tutorials
Language: English
Category: Other
Size: 275.8 MB
Added: Nov. 13, 2025, 12:23 a.m.
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Files:
  1. Get Bonus Downloads Here.url 180 bytes
  2. 1. Understanding Jobs and Data in Azure ML.mp4 7.7 MB
  3. 1. Understanding Jobs and Data in Azure ML.vtt 4.8 KB
  4. 2. Demo - Consuming Data in Azure ML Jobs.mp4 19.6 MB
  5. 2. Demo - Consuming Data in Azure ML Jobs.vtt 8.2 KB
  6. 3. Demo - Configuring Compute for Model Training.mp4 10.2 MB
  7. 3. Demo - Configuring Compute for Model Training.vtt 4.7 KB
  8. 4. Demo - Setting up Environments for Training Runs.mp4 15.8 MB
  9. 4. Demo - Setting up Environments for Training Runs.vtt 7.3 KB
  10. 5. MLflow for Experiment Tracking.mp4 2.9 MB
  11. 5. MLflow for Experiment Tracking.vtt 2.6 KB
  12. 6. Demo - Running and Tracking Training Jobs with MLflow.mp4 12.4 MB
  13. 6. Demo - Running and Tracking Training Jobs with MLflow.vtt 4.3 KB
  14. 7. Demo - Troubleshooting Job Runs with Logs.mp4 9.4 MB
  15. 7. Demo - Troubleshooting Job Runs with Logs.vtt 3.5 KB
  16. 1. What Are Pipelines and Components.mp4 3.9 MB
  17. 1. What Are Pipelines and Components.vtt 3.5 KB
  18. 2. What Is a Custom Component.mp4 2.9 MB
  19. 2. What Is a Custom Component.vtt 2.4 KB
  20. 3. Demo - Creating Custom Components in Azure ML.mp4 35.1 MB
  21. 3. Demo - Creating Custom Components in Azure ML.vtt 10.8 KB
  22. 4. Demo - Building Machine Learning Pipelines.mp4 22.2 MB
  23. 4. Demo - Building Machine Learning Pipelines.vtt 7.8 KB
  24. 5. Demo - Passing Data between Pipeline Steps.mp4 6.7 MB
  25. 5. Demo - Passing Data between Pipeline Steps.vtt 3.2 KB
  26. 6. Demo - Running and Scheduling Pipelines.mp4 8.4 MB
  27. 6. Demo - Running and Scheduling Pipelines.vtt 3.2 KB
  28. 7. Demo - Monitoring and Troubleshooting Pipeline Runs.mp4 9.2 MB
  29. 7. Demo - Monitoring and Troubleshooting Pipeline Runs.vtt 3.7 KB
  30. 1. Understanding MLmodel Files and Signatures.mp4 6.3 MB
  31. 1. Understanding MLmodel Files and Signatures.vtt 7 bytes
  32. 2. Demo - Implement MLmodel Files and Signatures.mp4 32.9 MB
  33. 2. Demo - Implement MLmodel Files and Signatures.vtt 8.9 KB
  34. 3. Packaging Feature Retrieval Specifications.mp4 4.3 MB
  35. 3. Packaging Feature Retrieval Specifications.vtt 3.2 KB
  36. 4. Demo - Registering and Versioning MLflow Models.mp4 11.4 MB
  37. 4. Demo - Registering and Versioning MLflow Models.vtt 5.8 KB
  38. 5. Feature Retrieval and Responsible AI.mp4 6.1 MB
  39. 5. Feature Retrieval and Responsible AI.vtt 4.4 KB
  40. 6. Demo - Assessing Models with Responsible AI Principles.mp4 21.8 MB
  41. 6. Demo - Assessing Models with Responsible AI Principles.vtt 10.5 KB
  42. 1. Online vs. Batch Deployment in Azure ML.mp4 6.2 MB
  43. 1. Online vs. Batch Deployment in Azure ML.vtt 4.4 KB
  44. 2. Demo - Configuring Settings for Online Deployment.mp4 6.0 MB
  45. 2. Demo - Configuring Settings for Online Deployment.vtt 4.2 KB
  46. 3. Demo - Deploying Models to Online Endpoints.mp4 409.8 KB
  47. 3. Demo - Deploying Models to Online Endpoints.vtt 355 bytes
  48. 4. Demo - Testing Online Deployed Services.mp4 1.5 MB
  49. 4. Demo - Testing Online Deployed Services.vtt 1.2 KB
  50. 5. Demo - Batch Deployment with Compute Configuration.mp4 4.2 MB
  51. 5. Demo - Batch Deployment with Compute Configuration.vtt 3.0 KB
  52. 6. Demo - Running Batch Scoring Jobs on Batch Endpoints.mp4 8.3 MB
  53. 6. Demo - Running Batch Scoring Jobs on Batch Endpoints.vtt 4.4 KB
  54. Bonus Resources.txt 70 bytes
  55. playlist.m3u 1.9 KB

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