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676 courses available

Microsoft

Use AI Builder models in Power Apps

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Explore AI Builder's ready-to-use models, enhancing Power Apps user experience and offering interactive controls.

Units in this learning path:

• Introduction
• Create Custom Model
• Add Prebuilt Model Driven
• Add Prebuilt Canvas
• Add Custom Canvas
• Check
• Summary

Products: Power Apps, AI Builder

Roles: Maker, Functional Consultant

Level: Beginner

Subjects: Data Modeling

Duration: 26 minutes

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Microsoft

Use Activator in Microsoft Fabric

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Fabric Activator is an event detection engine that automatically triggers actions when specific patterns or conditions are detected in data sources.

Units in this learning path:

• Introduction
• Configure Activator
• Create Rules
• Configure Actions
• Exercise
• Knowledge Check
• Summary

Products: Fabric

Roles: Data Engineer, Data Analyst

Level: Beginner

Subjects: Data Analytics, Data Engineering

Duration: 61 minutes

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Microsoft

Use Apache Spark in Azure Databricks

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Use Apache Spark in Azure Databricks

Units in this learning path:

• Introduction
• Get to Know Spark
• Create Spark Cluster
• Use Spark Notebooks
• Use Spark to Work Data Files
• Visualize Data
• Exercise Use
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Engineer

Level: Intermediate

Subjects: Data Analytics, Data Engineering, Data Visualization

Duration: 79 minutes

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Microsoft

Use Apache Spark in Microsoft Fabric

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Apache Spark is a core technology for large-scale data analytics. Microsoft Fabric provides support for Spark clusters, enabling you to analyze and process data at scale.

Units in this learning path:

• Introduction
• Spark
• Spark Code
• Dataframe
• Spark SQL
• Visualize Data
• Exercise Spark
• Knowledge Check
• Summary

Products: Fabric

Roles: Data Analyst, Data Engineer

Level: Intermediate

Subjects: Data Analytics, Data Engineering

Duration: 80 minutes

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Microsoft

Use AutoML in Azure Databricks

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Learn how to use AutoML to train optimal machine learning models for your data in Azure Databricks.

Units in this learning path:

• Introduction
• What Automl
• Automl User Interface
• Automl Code
• Exercise Automl
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Scientist

Level: Intermediate

Subjects: Data Management, Machine Learning

Duration: 44 minutes

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Microsoft

Use DAX in semantic models

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Enable deeper insights in Power BI by using Data Analysis Expressions (DAX) to add calculations that support dynamic analysis and advanced reporting in your semantic models.

Modules in this learning path:

• Dax Power Bi Write Formulas
• Dax Power Bi Create Calculations
• Dax Power Bi Time Intelligence
• Power Bi Visual Calculations

Products: Power Bi, Fabric

Roles: Data Analyst

Level: Intermediate

Subjects: Data Analytics, Data Modeling

Duration: 203 minutes

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Microsoft

Use DAX time intelligence functions in semantic models

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DAX time intelligence functions in Power BI enable users to analyze and compare data across different time periods, supporting insightful reporting on trends, growth, and performance over time.

Units in this learning path:

• 1 Introduction
• 2 Functions
• 3 Calculations
• Lab
• 4 Check
• 5 Summary

Products: Power Bi, Fabric

Roles: Data Analyst

Level: Intermediate

Subjects: Data Analytics

Duration: 34 minutes

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Microsoft

Use Dataverse choice columns with formulas

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Explore how you can use Power Fx formulas to work with Microsoft Dataverse choice and choices columns. These column data types present the user with a fixed list of values defined by the maker.

Units in this learning path:

• 1 Introduction
• 2 Filter
• 3 Set Values
• 4 Exercise
• 5 Check
• 6 Summary

Products: Power Platform, Power Apps, Dataverse

Roles: Maker

Level: Intermediate

Subjects: Data Modeling

Duration: 42 minutes

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Microsoft

Use Eventstream in Microsoft Fabric

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Eventstream in Real-Time Intelligence (RTI) enables you to ingest, transform, and route real-time data.

Units in this learning path:

• Introduction
• Event Stream Components
• Setup Event Streams
• Route Event Data to Destinations
• Exercise
• Knowledge Check
• Summary

Products: Fabric

Roles: Data Analyst, Data Engineer

Level: Beginner

Subjects: Data Management, Data Engineering, Data Integration

Duration: 57 minutes

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Microsoft

Use MLflow in Azure Databricks

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Learn how to use MLflow in Azure Databricks to track machine learning experiments and deploy models.

Units in this learning path:

• Introduction
• Capabilities of Mlflow
• Run Experiments
• Register Serve Models
• Exercise Use Mlflow
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Scientist

Level: Intermediate

Subjects: Data Management, Machine Learning

Duration: 63 minutes

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Microsoft

Use Microsoft Copilot to administer Azure SQL

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Use Copilot in Azure SQL Database, GitHub Copilot in SSMS and VS Code, and GitHub Copilot for IaC to work faster as a DBA: diagnose performance issues, author T-SQL, automate deployments, and evaluate every suggestion before applying it.

Units in this learning path:

• Introduction
• Diagnose Performance Copilot
• Author Tsql Github Copilot
• Automate Dba Work Github Copilot
• Evaluate Copilot Output Dba Standards
• Exercise Diagnose Slow Query Copilot
• Knowledge Check
• Summary

Products: Azure SQL Database, Azure SQL Managed Instance, SQL Server

Roles: Database Administrator

Level: Intermediate

Subjects: Databases, Artificial Intelligence

Duration: 67 minutes

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Microsoft

Use Power Apps Instrumentation with Application Insights

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This module explores how to set up a Microsoft Power Apps canvas app to send telemetry to Application Insights.

Units in this learning path:

• 1 Introduction
• 2 Configure
• 3 View App Insights
• 4 Custom Logging
• 5 Exercise
• 6 Check
• 7 Summary

Products: Power Platform, Power Apps, Azure Monitor, Dataverse

Roles: Maker

Level: Intermediate

Subjects: Data Analytics

Duration: 38 minutes

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