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Azure Machine Learning & MLOps : Beginner to Advance

سرفصل های دوره

The most compressive course covering MLOps and machine learning on Azure | Zero to Hero


1. Azure MLOps
  • 1.1 The GitHub repo with codes I used for this MLOps series.html
  • 1. Complete Intro to Azure Machine Learning Service
  • 2.1 The GitHub repo with codes I used for this MLOps series.html
  • 2. Intro to Azure DevOps
  • 3.1 The GitHub repo with codes I used for this MLOps series.html
  • 3. Setting up Azure DevOps Configurations
  • 4.1 The GitHub repo with codes I used for this MLOps series.html
  • 4. Create & Deploy Infrastructure as Code Pipeline
  • 5.1 The GitHub repo with codes I used for this MLOps series.html
  • 5. CI Pipeline ( Continuous Integration) for ML
  • 6.1 The GitHub repo with codes I used for this MLOps series.html
  • 6. CI Pipeline ( Continuous Integration) for ML
  • 7.1 The GitHub repo with codes I used for this MLOps series.html
  • 7. Automated Training with CI Pipeline
  • 8.1 The GitHub repo with codes I used for this MLOps series.html
  • 8. CD Pipeline (Continuous Deployment) for Staging
  • 9.1 The GitHub repo with codes I used for this MLOps series.html
  • 9. CD Pipeline(Continuous Deployment)for Production
  • 10.1 The GitHub repo with codes I used for this MLOps series.html
  • 10. Testing End to End MLOps Pipelines
  • 11.1 Source Article and Repo.html
  • 11.2 The Github repo utilized in the video.html
  • 11. Extra 1 Azure MLOps with GitHub Actions & Azure Machine Learning
  • 12.1 Source Github repo for Databricks DevOps.html
  • 12.2 The Github repo utilized in the video.html
  • 12. Extra 2 Databricks MLOps With GitHub Actions & MLflow

  • 2. Azure Machine Learning Highly Demanded Capabilities
  • 1.1 The GitHub repo for open-source Responsible AI toolbox.html
  • 1. Responsible AI in Action - Part 1
  • 2.1 Generate a Responsible AI dashboard (preview) in the studio UI.html
  • 2.2 Responsible AI Dashboard and Scorecard.html
  • 2. Responsible AI in Action - Part 2
  • 3. Azure Machine Learning Pipeline
  • 4.1 Showcased article about bringing feature store to Azure.html
  • 4.2 The GitHub utilized in the video.html
  • 4. Feature Store (Feast) in Azure (Machine Learning)
  • 5.1 Showcased article about bringing Ray and Dask to Azure machine learning.html
  • 5.2 The GitHub utilized in the video.html
  • 5. Ray and Dask in Azure Machine Learning
  • 6.1 AutoML for computer vision in Azure Machine Learning documentation.html
  • 6. Auto ML for Computer Vision in Azure Machine Learning
  • 7.1 The GitHub repo of utilized code in the video.html
  • 7. Differential Privacy For Machine Learning In Action (Sensitive Data)
  • 8.1 Databricks Step in Azure ML Documentation.html
  • 8.2 The GitHub repo for Databricks Step in Azure ML.html
  • 8. Integrate Azure Databricks with Azure Machine Learning
  • 9.1 AutoML for NLP in Azure Machine Learning documentation.html
  • 9. AutoML for Natural Language Processing (NLP) in Azure Machine Learning
  • 10.1 The example code utilized in the video.html
  • 10. Train and Score Thousands of Machine Learning Models in Parallel ( Many Models i
  • 11.1 The example code and docs utilized in the video.html
  • 11. Why do Machine learning models fail (Data Drift Monitoring in Azure)
  • 12.1 Codes and Documentation.html
  • 12. Integrating Azure Synapse with Azure Machine Learning
  • 13.1 Reference code.html
  • 13. Deploy Multi Model Endpoint in Azure Machine Learning
  • 14.1 Reference code.html
  • 14. Rollout (Blue-Green) Real-Time Machine Learning Model Deployment in Azure
  • 15. Consume Azure Machine Learning models in Power BI
  • 16.1 Github Repo utilized in this video.html
  • 16. Use PowerApps to Create Apps for Deployed Azure Machine Learning Models
  • 17.1 Reference docs.html
  • 17. Attach Your OnPrem Kubernetes to Azure Machine Learning Using Azure Arc
  • 18. Components in Azure Machine Learning Pipelines
  • 19. Being Platform Agnostic with MLflow in Azure Machine Learning
  • 20.1 Sample notebook used in the video.html
  • 20. Deploy Spark ML model as Web Service Using Azure Machine Learning
  • 21.1 Reference notebook utilized in the video.html
  • 21. Azure Machine Learning Environments
  • 22.1 Reference doc.html
  • 22.2 Utilized repo.html
  • 22. Scalable & Managed Batch Prediction with Azure Machine Learning
  • 23. Execute Azure Machine Learning pipelines in Azure Data Factory or Synapse
  • 24.1 The notebook example utilized in the video.html
  • 24. Extra Train Machine learning model once and deploy it anywhere with ONNX
  • 25.1 Point to Site VPN.html
  • 25.2 The example code utilized in the video.html
  • 25. Extra Azure Machine Learning Networking (Hands-on)
  • 26. Extra AutoML Comparison in Databricks VS Azure Machine Learning
  • 27.1 Reference repository used in the video.html
  • 27. Extra Machine Learning Lineage with Microsoft Purview
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    ایمیل شما:
    تولید کننده:
    شناسه: 1236
    حجم: 8055 مگابایت
    مدت زمان: 1061 دقیقه
    تاریخ انتشار: 26 دی 1401
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