Designing and Implementing a Data Science Solution on Azure DP 1

Designing and Implementing a Data Science Solution on Azure DP 1
     Get Bonus Downloads Here.url -


     1. Understanding Jobs and Data in Azure ML.mp4 -


     1. Understanding Jobs and Data in Azure ML.vtt -


     2. Demo - Consuming Data in Azure ML Jobs.mp4 -


     2. Demo - Consuming Data in Azure ML Jobs.vtt -


     3. Demo - Configuring Compute for Model Training.mp4 -


     3. Demo - Configuring Compute for Model Training.vtt -


     4. Demo - Setting up Environments for Training Runs.mp4 -


     4. Demo - Setting up Environments for Training Runs.vtt -


     5. MLflow for Experiment Tracking.mp4 -


     5. MLflow for Experiment Tracking.vtt -


     6. Demo - Running and Tracking Training Jobs with MLflow.mp4 -


     6. Demo - Running and Tracking Training Jobs with MLflow.vtt -


     7. Demo - Troubleshooting Job Runs with Logs.mp4 -


     7. Demo - Troubleshooting Job Runs with Logs.vtt -


     1. What Are Pipelines and Components.mp4 -


     1. What Are Pipelines and Components.vtt -


     2. What Is a Custom Component.mp4 -


     2. What Is a Custom Component.vtt -


     3. Demo - Creating Custom Components in Azure ML.mp4 -


     3. Demo - Creating Custom Components in Azure ML.vtt -


     4. Demo - Building Machine Learning Pipelines.mp4 -


     4. Demo - Building Machine Learning Pipelines.vtt -


     5. Demo - Passing Data between Pipeline Steps.mp4 -


     5. Demo - Passing Data between Pipeline Steps.vtt -


     6. Demo - Running and Scheduling Pipelines.mp4 -


     6. Demo - Running and Scheduling Pipelines.vtt -


     7. Demo - Monitoring and Troubleshooting Pipeline Runs.mp4 -


     7. Demo - Monitoring and Troubleshooting Pipeline Runs.vtt -


     1. Understanding MLmodel Files and Signatures.mp4 -


     1. Understanding MLmodel Files and Signatures.vtt -


     2. Demo - Implement MLmodel Files and Signatures.mp4 -


     2. Demo - Implement MLmodel Files and Signatures.vtt -


     3. Packaging Feature Retrieval Specifications.mp4 -


     3. Packaging Feature Retrieval Specifications.vtt -


     4. Demo - Registering and Versioning MLflow Models.mp4 -


     4. Demo - Registering and Versioning MLflow Models.vtt -


     5. Feature Retrieval and Responsible AI.mp4 -


     5. Feature Retrieval and Responsible AI.vtt -


     6. Demo - Assessing Models with Responsible AI Principles.mp4 -


     6. Demo - Assessing Models with Responsible AI Principles.vtt -


     1. Online vs. Batch Deployment in Azure ML.mp4 -


     1. Online vs. Batch Deployment in Azure ML.vtt -


     2. Demo - Configuring Settings for Online Deployment.mp4 -


     2. Demo - Configuring Settings for Online Deployment.vtt -


     3. Demo - Deploying Models to Online Endpoints.mp4 -


     3. Demo - Deploying Models to Online Endpoints.vtt -


     4. Demo - Testing Online Deployed Services.mp4 -


     4. Demo - Testing Online Deployed Services.vtt -


     5. Demo - Batch Deployment with Compute Configuration.mp4 -


     5. Demo - Batch Deployment with Compute Configuration.vtt -


     6. Demo - Running Batch Scoring Jobs on Batch Endpoints.mp4 -


     6. Demo - Running Batch Scoring Jobs on Batch Endpoints.vtt -


     Bonus Resources.txt -


     playlist.m3u -

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