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Implement a Data Analytics Solution with Azure Databricks. (DP-3011)

Modules in this learning path:

• Explore Azure Databricks
• Perform Data Analysis Azure Databricks
• Use Apache Spark Azure Databricks
• Use Delta Lake Azure Databricks
• Build Data Pipeline with Delta Live Tables
• Deploy Workloads with Databricks Workflows

Products: Azure Databricks

Roles: Data Analyst

Level: Intermediate

Subjects: Data Analytics

Duration: 415 minutes

Implement a Data Streaming Solution with Azure Stream Analytics

Modules in this learning path:

• Introduction to Data Streaming
• Ingest Streaming Data Use Azure Stream Analytics Synapse
• Visualize Real Time Data Azure Stream Analytics Power Bi

Products: Azure Stream Analytics, Azure Synapse Analytics, Power Bi

Roles: Data Analyst, Data Engineer

Level: Beginner

Subjects: Data Analytics, Data Engineering

Duration: 182 minutes

Implement a Lakehouse with Microsoft Fabric

Modules in this learning path:

• Introduction End Analytics Use Microsoft Fabric
• Get Started Lakehouses
• Use Apache Spark Work Files Lakehouse
• Work Delta Lake Tables Fabric
• Ingest Dataflows Gen2 Fabric
• Use Data Factory Pipelines Fabric
• Describe Medallion Architecture

Products: Fabric

Roles: Data Analyst, Data Engineer, Data Scientist

Level: Intermediate

Subjects: Data Analytics, Data Engineering, Data Integration, Data Storage

Duration: 437 minutes

Hybrid cloud infrastructure implementation.

Modules in this learning path:

• Implement Hybrid Network Infrastructure
• Implement Hybrid Identity with Windows Server
• Migrate Premises Windows Server Instances to Azure Iaas Vms
• Implement Hybrid File Server Infrastructure
• Implement Hybrid Backup Recovery with Windows Server Iaas
• Implement Scale High Availability with Windows Server Vm

Products: Azure, Entra Id, Azure Cloud Shell, Azure Portal, Azure Storage, Azure Virtual Machines

Roles: Administrator, Solution Architect, Technology Manager

Level: Intermediate

Subjects: Migration

Duration: 430 minutes

Implement a data engineering solution using Azure Databricks

Modules in this learning path:

• Perform Incremental Processing with Spark Structured Streaming
• Implement Streaming Architecture Patterns with Delta Live Tables
• Optimize Performance with Spark and Delta Live Tables
• Ci Cd Workflows Pipelines Azure Databricks
• Automate Jobs Azure Databricks
• Manage Data Privacy and Governance with Azure Databricks
• Use SQL Warehouses Azure Databricks
• Run Azure Databricks Notebooks Azure Data Factory

Products: Azure Databricks

Roles: Data Engineer

Level: Intermediate

Subjects: Data Engineering

Duration: 487 minutes

Implement a data modeling and partitioning strategy for Azure Cosmos DB for NoSQL

Modules in this learning path:

• Implement Non Relational Data Model
• Design Data Partitioning Strategy

Products: Azure, Azure Cosmos Db

Roles: Data Engineer, Developer

Level: Intermediate

Subjects: Data Modeling

Duration: 108 minutes

Explore the data science process and learn how to train machine learning models to accomplish artificial intelligence in Microsoft Fabric. (DP-604T00)

Modules in this learning path:

• Introduction End Analytics Use Microsoft Fabric
• Get Started Data Science Fabric
• Explore Data for Data Science Microsoft Fabric
• Preprocess Data with Data Wrangler Microsoft Fabric
• Train Track Model Fabric
• Generate Batch Predictions Fabric

Products: Fabric

Roles: Data Scientist, Data Analyst, Data Engineer

Level: Beginner

Subjects: Machine Learning, Data Analytics, Data Engineering, Data Integration, Data Management

Duration: 329 minutes

Explore the data warehousing process and learn how to load, monitor, secure, and query a warehouse in Microsoft Fabric. (DP-602T00)

Modules in this learning path:

• Introduction End Analytics Use Microsoft Fabric
• Get Started Data Warehouse
• Load Data Into Microsoft Fabric Data Warehouse
• Query Data Warehouse Microsoft Fabric
• Monitor Fabric Data Warehouse
• Secure Data Warehouse in Microsoft Fabric

Products: Fabric

Roles: Data Analyst, Data Engineer

Level: Beginner

Subjects: Data Analytics, Data Engineering, Data Integration

Duration: 362 minutes

Implement a hybrid file server infrastructure using Azure Files and Azure File Sync, and migrate SMB file servers to Azure.

Units in this learning path:

• Introduction
• Describe Azure File Services
• Configure Azure Files
• Configure Connectivity Azure Files
• Describe Azure File Sync
• Implement Azure File Sync
• Deploy Azure File Sync
• Deploy Azure File Sync2
• Manage Cloud Tiering
• Migrate from Dfsr to Azure File Sync
• Knowledge Check
• Summary

Products: Azure, Azure Cloud Shell, Azure Files, Azure Portal, Azure Storage, Azure Virtual Machines

Roles: Administrator, Solution Architect, Technology Manager

Level: Intermediate

Duration: 92 minutes

Implement a non-relational data model

Units in this learning path:

• Introduction
• Whats Difference Between Nosql Relational Databases
• Identify Access Patterns for Your App
• When to Embed Reference Data
• Exercise Measure Performance for Customer Entities
• Choose Partition Key
• Model Small Lookup Tables
• Knowledge Check
• Summary

Products: Azure Cosmos Db

Roles: Developer

Level: Intermediate

Subjects: Data Modeling

Duration: 57 minutes

A solution performance strategy in Dynamics 365 is important, and we discuss it in this module. We also cover configuration and customizations, and the impact they may have on the overall performance of your end-user experience.

Units in this learning path:

• 1 Introduction
• 2 Solution Performance Workshop Topics
• Performance Benchmark
• 2 2 Timing Solution Performance Review
• 2 3 Prepare
• 2 4 Implementation Follow Up
• 3 Check
• 4 Summary

Products: Dynamics 365, Dynamics Sales, Customer Insights Journeys, Dynamics Customer Service, Dynamics Field Service, Dynamics Finance, Dynamics Scm, Dynamics Project Operations, Dynamics Commerce, Dynamics Human Resources

Roles: Solution Architect, Functional Consultant

Level: Advanced

Subjects: Business Applications, Process Workflow

Duration: 76 minutes

A practical approach to implementing generative AI responsibly, and exploring content filters in AI Foundry portal.

Units in this learning path:

• Introduction
• Plan Responsible AI
• Identify Harms
• Measure Harms
• Mitigate Harms
• Operate Responsibly
• Exercise Content Filters
• Knowledge Check
• Summary

Products: Azure AI Foundry

Roles: AI Engineer, Developer, Solution Architect, Student

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 50 minutes