DP-100: Microsoft DP-100 Designing and Implementing a Data Science Solution on Azure

DP-100 Designing and Implementing a Data Science Solution on Azure. 

Erfahren Sie, wie Sie Lösungen für maschinelles Lernen im Cloud-Maßstab mit Azure Machine Learning verwenden. Dieses CertKit lehrt Sie, Ihr vorhandenes Wissen über Python und maschinelles Lernen zu nutzen, um die Datenaufnahme und -vorbereitung, das Modelltraining und die Implementierung sowie die Überwachung von Lösungen für maschinelles Lernen in Microsoft Azure zu verwalten.

Anforderungen

Erfolgreiche Azure Data Scientists beginnen diese Rolle mit einem grundlegenden Verständnis von Cloud-Computing-Konzepten und Erfahrung in allgemeinen Data Science- und Machine Learning-Tools und -Techniken.

speziell:

• Erstellen Sie Cloud-Ressourcen in Microsoft Azure.
• Verwenden von Python zum Erkunden und Visualisieren von Daten.
• Trainieren und validieren Sie Modelle für maschinelles Lernen mit gängigen
• Frameworks wie Scikit-Learn, PyTorch und TensorFlow.
• Arbeiten mit Containern.

Kursinhalt

DP-100 - Azure Data Scientist Associate: Machine Learning

Course: 1 Hour, 8 Minutes

• Course Overview
• Machine Learning
• Data Manipulation and Datasets
• Labeled and Unlabeled Data
• Data Features
• Machine Learning Regression Algorithms
• Machine Learning Classification Algorithms
• Machine Learning Clustering Algorithms
• Supervised Machine Learning
• Unsupervised Machine Learning
• Course Summary

DP-100 - Azure Data Scientist Associate: Machine Learning Services

Course: 45 Minutes

• Course Overview
• Azure Machine Learning Services
• Azure Machine Learning Studio
• Creating an Azure ML Studio Account
• Inspecting Azure ML Studio Components
• Ingesting Data from Azure Blob Storage
• Creating and Using Compute
• Course Summarys

DP-100 - Azure Data Scientist Associate: Machine Learning Regression Models

Course: 1 Hour, 13 Minutes

• Course Overview
• Machine Learning Regression Models
• Regression Model Training Concepts
• Regression Model Selection
• Training a Regression Model
• Executing the Regression Model Pipeline
• Evaluating a Regression Model
• Creating an Inference Pipeline
• Deploying Regression Model Predictive Services
• Course Summary

DP-100 - Azure Data Scientist Associate: Machine Learning Classification Models

Course: 1 Hour, 10 Minutes

• Course Overview
• Machine Learning Classification Models
• Classification Model Training Concepts
• Classification Model Selection
• Training Classification Models
• Executing the Classification Model Pipeline
• Evaluating the Classification Model
• Creating an Inference Pipeline
• Deploying Classification Model Predictive Services
• Course Summary

DP-100 - Azure Data Scientist Associate: Machine Learning Clustering Models

Course: 58 Minutes

• Course Overview
• Machine Learning Clustering Models
• Clustering Model Training Concepts
• Clustering Model Training
• Creating a K-means Clustering Model
• Evaluating a Clustering Model
• Creating a Clustering Model Inference Pipeline
• Deploying Clustering Model Predictive Services
• Course Summary

DP-100 - Azure Data Scientist Associate: Project Jupyter & Notebooks

Course: 1 Hour, 34 Minutes

• Course Overview
• Project Jupyter
• Jupyter Notebooks
• Installing Jupyter Notebook
• Using a Jupyter Notebook for Data Analysis
• Using a Jupyter Notebook for Regression Models
• Using a Jupyter Notebook for Classification Models
• Using a Jupyter Notebook for Clustering Models
• Using a Jupyter Notebook with PyTorch
• Using a Jupyter Notebook with TensorFlow
• Course Summary

DP-100 - Azure Data Scientist Associate: Azure Machine Learning Workspaces

Course: 1 Hour

• Course Overview
• Azure Machine Learning Workspaces
• Creating an Azure Machine Learning Workspace
• Installing Azure Machine Learning Tools
• Creating Scripts for Machine Learning Experiments
• Using Azure Machine Learning Metrics
• Creating Scripts for Azure Machine Learning Training
• Running a Notebook to Train Predictive Models
• Course Summary

DP-100 - Azure Data Scientist Associate: Azure Data Platform Services

Course: 1 Hour, 17 Minutes

• Course Overview
• Azure Data Structure Types
• Azure SQL Database
• Azure Cosmos DB
• Azure Data Storage
• Azure Data Lake Storage Gen
• Azure Synapse Analytics
• Azure Stream Analytics
• Azure Databricks
• Azure Data Factory
• Azure HDInsight
• Course Summary

DP-100 - Azure Data Scientist Associate: Azure Storage Accounts

Course: 1 Hour, 7 Minutes

• Course Overview
• Azure Storage Accounts
• Azure Storage Containers
• Azure File Shares
• Azure Table Storage
• Azure Queue Storage
• Azure Storage Account Tools
• Creating an Azure Storage Account
• Creating Azure Containers and File Shares
• Creating Azure Tables

DP-100 - Azure Data Scientist Associate: Storage Strategy

Course: 1 Hour, 3 Minutes

• Course Overview
• Azure Storage Strategy
• Azure Data Structure Types
• Azure Storage Security
• Uploading and Downloading Blobs
• Azure Storage Services
• Creating a VM and Storage Account
• Uploading Data to an Azure Storage Account
• Downloading from an Azure Storage Account
• Configuring Metrics Storage Account Monitoring
• Course Summary

DP-100 - Azure Data Scientist Associate: Azure Data Factory

Course: 1 Hour, 3 Minutes

• Course Overview
• Azure Data Factory
• Azure Data Factory Integration Runtime
• Azure Data Factory Linked Services and Datasets
• Azure Data Factory Pipelines and Activities
• Azure Data Factory Triggers
• Creating an Azure Data Factory
• Creating Data Factory Linked Services and Datasets
• Creating Data Factory Pipelines
• Creating Data Factory Triggers
• Course Summary

DP-100 - Azure Data Scientist Associate: Non-relational Data Stores

Course: 1 Hour, 16 Minutes

• Course Overview
• Azure Non-relational Data
• Azure Cosmos DB
• Creating an Azure Cosmos DB
• Azure Blob Storage
• Creating an Azure Blob Storage Container
• Azure Data Lake Storage Gen
• Creating an Azure Data Lake Storage Gen2 Solution
• Azure Data Masking
• Azure Data Management
• Course Summary

DP-100 - Azure Data Scientist Associate: Machine Learning Data Stores & Compute

Course: 1 Hour, 2 Minutes

• Course Overview
• Azure Data Stores
• Creating and Registering Data Stores
• Working with Datasets
• Running a Jupyter Notebook to Work with Data
• Machine Learning Studio Compute Targets
• Creating Python Environments in Azure ML Studio
• Working with a Compute Instance in Azure
• Creating an Azure Machine Learning Compute Cluster
• Running a Jupyter Notebook with Compute
• Course Summary

DP-100 - Azure Data Scientist Associate: Machine Learning Orchestration & Deployment

Course: 1 Hour, 13 Minutes

• Course Overview
• Machine Learning Pipelines
• Moving Data Using Machine Learning Pipelines
• Creating Machine Learning Pipelines
• Publishing Machine Learning Pipelines
• Triggering Machine Learning Pipelines
• Troubleshooting Machine Learning Pipelines
• Deploying Real-time Services
• Consuming Real-time Services
• Troubleshooting Service Deployments
• Course Summary

DP-100 - Azure Data Scientist Associate: Model Features & Differential Privacy

Course: 1 Hour, 6 Minutes

• Course Overview
• Machine Learning Global and Local Features
• Machine Learning Model Explainers
• Creating Machine Learning Explainers
• Interpreting Machine Learning Models with Python
• Visualizing Machine Learning Explanations
• Machine Learning Model Bias
• Azure Machine Learning and Fairlearn
• Detecting and Mitigating Model Fairness
• Course Summary

DP-100 - Azure Data Scientist Associate: Machine Learning Model Monitoring

Course: 52 Minutes

• Course Overview
• Application Insights
• Monitoring Models
• Creating Data Drift Monitors
• Visualizing Data Drifts Using ML Studio
• Differential Privacy
• Working with Differential Privacy Using Python
• Course Summary

DP-100 - Azure Data Scientist Associate: Azure Data Storage Monitoring

Course: 1 Hour, 6 Minutes

• Course Overview
• Azure Data Storage Monitoring
• Monitoring Azure Blob Storage
• Monitoring Data Lake Storage Gen
• Monitoring Azure Synapse Analytics
• Monitoring Cosmos DB
• Configuring Azure Monitoring Alerts
• Azure Log Analytics
• Using the Azure Monitor
• Course Summary

DP-100 - Azure Data Scientist Associate: Data Process Monitoring

Course: 1 Hour, 10 Minutes

• Course Overview
• Azure Monitor
• Creating Azure Monitor Metrics
• Analyzing Azure Resource Logs
• Querying Azure Monitor Logs
• Creating Log Analytics Dashboards
• Creating Azure Monitor Alerts
• Monitoring Data Factory Pipelines
• Monitoring Azure Log Analytics
• Course Summary

DP-100 - Azure Data Scientist Associate: Data Solution Optimization

• Course Overview
• Azure Data Solution Optimization
• Data Partitioning Strategies
• Azure Blob Lifecycle Management
• Azure Data Lake Storage Gen2 Optimization
• Azure Stream Analytics Optimization
• Azure Synapse Analytics Optimization
• Azure Cosmos DB Optimization
• Azure Blob Storage Optimization
• Azure Databricks Optimization
• Course Summary

DP-100 - Azure Data Scientist Associate: High Availability & Disaster Recovery

Course: 1 Hour, 33 Minutes

• Course Overview
• High Availability and Disaster Recovery
• SQL Server Business Continuity
• Azure SQL Server Backup and Restore
• Azure Availability Groups
• Creating Azure Availability Groups
• Configuring Virtual Machines for Disaster Recovery
• Azure SQL Server Disaster Recovery
• Azure SQL Database Elastic Pools
• Configuring Elastic Pools for Azure SQL Databases
• Azure Database for PostgreSQL - Hyperscale
• Creating Azure Database for PostgreSQL - Hyperscale
• Exploring PostgreSQL with Hyperscale
• Course Summary