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This module guides you through implementing data compliance and governance using Microsoft Purview, ensuring your organization meets regulatory requirements and manages data effectively.

Units in this learning path:

• Introduction
• Create Retention Policy
• Create Retention Label
• Search Ediscovery
• Create Communication Compliance Policy
• Summary

Products: M365, Microsoft Purview

Roles: Administrator, Auditor

Level: Intermediate

Subjects: Data Management, Threat Protection

Duration: 64 minutes

Integrate with finance and operations apps using REST API data packages, import/export APIs, check status, and create wrapper classes in C# and X++.

Units in this learning path:

• 1 Introduction
• 2 API
• 3 Status
• 4 Entity
• 5 Wrapper Class
• Wrapper Class C Sharp
• 6 Check
• 7 Summary

Products: Dynamics 365, Dynamics Finance, Dynamics Scm

Roles: Developer

Level: Advanced

Subjects: Data Management, Custom App Development

Duration: 51 minutes

Do you want to understand how data flows in Business Central? This module provides an overview of how data flows within the application so you can develop solutions efficiently.

Units in this learning path:

• 1 Introduction
• 2 Standard Data Model
• 3 Typical Data Triggers
• 4 Standard Data Flow
• 5 Check
• 6 Summary

Products: Dynamics 365, Dynamics Business Central

Roles: Developer

Level: Intermediate

Subjects: Data Modeling, Process Workflow

Duration: 37 minutes

Implement vCore-based Azure Cosmos DB for MongoDB.

Units in this learning path:

• Introduction
• Explore Features
• Create Cluster
• Exercise Deploy Cluster
• Knowledge Check
• Summary

Products: Azure Cosmos Db

Roles: Developer

Level: Intermediate

Subjects: Databases

Duration: 33 minutes

Learn how to implement vector search capabilities in Azure Cosmos DB for NoSQL to build AI applications that perform semantic similarity queries.

Units in this learning path:

• Introduction
• Store Retrieve Embeddings
• Execute Vector Similarity Queries
• Combine Vector Metadata Filtering
• Change Feed Trigger Embedding Refresh
• Exercise Build Semantic Search
• Knowledge Check
• Summary

Products: Azure Cosmos Db

Roles: Developer

Level: Intermediate

Subjects: Databases, Artificial Intelligence

Duration: 84 minutes

Learn how to implement vector search in Azure Database for PostgreSQL using the pgvector extension for semantic search, recommendations, and RAG pipelines.

Units in this learning path:

• Introduction
• Store Query Embeddings Pgvector
• Perform Fast Vector Similarity Search
• Manage Index Lifecycle Embedding Updates
• Run Vector Similarity Search Semantic Retrieval
• Implement Retrieval Patterns Rag Pipelines
• Exercise Implement Vector Search
• Knowledge Check
• Summary

Products: Azure Database Postgresql

Roles: Developer

Level: Intermediate

Subjects: Databases, Artificial Intelligence

Duration: 94 minutes

Learn how organizations should choose to implement security and governance.

Units in this learning path:

• 1 Introduction
• 2 Prerequisites
• 3 Default
• 4 Implement
• 5 Customer Experience
• 6 Directional Data
• 8 Http
• 9 Exercise
• 10 Check
• 11 Summary

Products: Power Automate, Power Platform, Power Apps

Roles: Administrator, Functional Consultant

Level: Intermediate

Subjects: Data Management

Duration: 54 minutes

Discover the basics of using solutions with cloud flows, including manual and automated options, benefits, and import/export procedures.

Units in this learning path:

• Introduction
• Connection References
• Environment Variable Basics
• Transport Solutions
• Exercise
• Check
• Summary

Products: Power Platform, Power Automate, Dataverse

Roles: Maker, Functional Consultant

Level: Beginner

Subjects: Data Management

Duration: 48 minutes

Data ingestion is crucial in analytics. Microsoft Fabric's Data Factory offers Dataflows for visually creating multi-step data ingestion and transformation using Power Query Online.

Units in this learning path:

• Introduction
• Dataflows Gen 2
• Explore Dataflows Gen 2
• Dataflow Pipeline
• Exercise
• Knowledge Check
• Summary

Products: Fabric

Roles: Data Analyst, Data Engineer

Level: Intermediate

Subjects: Data Analytics, Data Engineering, Data Integration

Duration: 60 minutes

Learn how to ingest data into Customer Insights - Data.

Units in this learning path:

• 1 Introduction
• 2 Power Query
• 2b Clean Transform Load Data
• 3 Common Data Model
• 4 Dataverse
• 5 Work with Data
• 6 Refresh
• 8 Check
• 9 Summary

Products: Dynamics 365, Customer Insights Data

Roles: Functional Consultant, Business User, Administrator

Level: Intermediate

Subjects: Data Analytics, Customer Relationship Management

Duration: 45 minutes

Learn how to ingest data from diverse sources into Unity Catalog tables in Azure Databricks using managed connectors, notebooks, SQL commands, streaming, and declarative pipelines.

Units in this learning path:

• Introduction
• Ingest Data Lakeflow Connect
• Ingest Data Notebooks
• Ingest Data SQL Methods
• Ingest Data Cdc Feed
• Ingest Data Spark Structured Streaming
• Ingest Data Auto Loader
• Ingest Data Lakeflow Declarative Pipelines
• Exercise
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Engineer

Level: Intermediate

Subjects: Data Engineering

Duration: 101 minutes

Explore how Microsoft Fabric enables you to ingest and orchestrate data from various sources (such as files, databases, or web services) through dataflows, notebooks, and pipelines.

Modules in this learning path:

• Ingest Dataflows Gen2 Fabric
• Use Data Factory Pipelines Fabric
• Use Apache Spark Work Files Lakehouse
• Query Data Kql Database Microsoft Fabric

Products: Fabric

Roles: Data Analyst, Data Engineer, Data Scientist

Level: Intermediate

Subjects: Big Data, Data Analytics, Data Engineering, Data Integration, Data Management

Duration: 289 minutes