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This module contains sample activities that demonstrate how to integrate AI-powered tools into your learning environment.

Units in this learning path:

• Introduction
• Refine Your Presentation Skills Using Speaker Coach
• Create an Interactive Article Using Microsoft Sway
• Knowledge Check
• Summary

Products: Foundry Tools, M365 Apps, Azure Translator Text, Azure Translator Speech, Ms Copilot, Language Service

Roles: K 12 Educator, Higher Ed Educator, Business User, Data Engineer, School Leader

Level: Beginner

Subjects: Artificial Intelligence

Duration: 87 minutes

Learn how Business Central provides barcode scanning capabilities in the mobile application and AL language.

Units in this learning path:

• Introduction
• Scenarios Barcodes
• Add Button
• Invoke Scanning
• Integrate Scanners
• Check
• Summary

Products: Dynamics 365, Dynamics Business Central

Roles: Functional Consultant, Developer

Level: Intermediate

Subjects: Business Applications

Duration: 35 minutes

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

Learn how to enhance the user experience of declarative agents by using Adaptive Cards to render API data visually. Create and configure Adaptive Card templates, integrate them into API plugins, and test the setup in Microsoft 365 Copilot. Learn the practical steps for building and previewing Adaptive Cards in Visual Studio Code.

Units in this learning path:

• Introduction
• Return Rich Responses Adaptive Cards
• Exercise Return Rich Responses Adaptive Cards
• Knowledge Check
• Summary

Products: M365, Ms Copilot

Roles: Developer

Level: Intermediate

Subjects: Knowledge Management, Productivity, Data Integration, Data Management, Custom App Development

Duration: 16 minutes

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

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

Do you want to know how to start implementing a version control system to manage your Business Central applications source code? With Azure DevOps you can do that, and much more. You'll learn about the features of the application lifecycle management tool Azure DevOps.

Units in this learning path:

• 1 Introduction
• 2 Create Azure Devops
• 3 Manage Azure Devops
• 4 Introduction Devops Services
• 5 Connect Devops Tokens
• 6 Introduction Github
• 7 Exercise
• 8 Check
• 9 Summary

Products: Dynamics 365, Dynamics Business Central

Roles: Developer

Level: Intermediate

Subjects: Devops

Duration: 47 minutes

Artificial Intelligence can be used with Business Central. This path focuses on a few key ways that you can use it to manage your business.

Modules in this learning path:

• Setup Cash Flow Forecasts
• Use Sales Inventory Forecast Extension
• Predict Late Payments Sales Documents

Products: Dynamics 365, Dynamics Business Central

Roles: Functional Consultant, Business User

Level: Intermediate

Subjects: Artificial Intelligence, Business Applications

Duration: 125 minutes

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

This module describes the setup that’s required to use Azure AI Services for Language to enhance the capabilities of a Microsoft Copilot Studio.

Units in this learning path:

• Introduction
• Azure Cognitive Service
• Define Your Bot
• Call Your Service
• Deploy Your Bot
• Check
• Summary

Products: Ms Copilot

Roles: Functional Consultant, Developer

Level: Intermediate

Subjects: Chatbots

Duration: 33 minutes

Learn to use YAML to define container instances, add functionality with sidecar and initialization containers, and use Azure Private Link for greater security.

Units in this learning path:

• Introduction
• Deploy Into Virtual Network
• Understand Yaml
• Deploy Sidecar
• Access Private Link Enabled Services
• Deploy with Init Container
• Knowledge Check
• Summary

Products: Azure Container Instances

Roles: Administrator, Developer

Level: Intermediate

Subjects: Containers

Duration: 62 minutes

Learn how to access Azure Databricks Genie Spaces from Microsoft Teams using the Databricks app, and how to build a Copilot Studio agent grounded in a Genie Space. Covers governance, access paths, effective querying, permissions, and agent configuration.

Units in this learning path:

• Introduction
• Describe Genie Genie Spaces
• Explain Unity Catalog Governance
• Describe Databricks App Teams
• Use Databricks App Teams
• Describe Copilot Studio Path
• Build Copilot Studio Agent
• Knowledge Check
• Summary

Products: Azure Databricks, Ms Copilot, M365, Office Teams

Roles: Business Analyst, Data Engineer, Maker

Level: Beginner, Intermediate

Subjects: Artificial Intelligence, Data Management, Chatbots, Data Engineering

Duration: 41 minutes