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Microsoft Dynamics 365 has multiple analytical options to help organizations drive business decisions that are based on past sales numbers and trends. For example, organizations can define custom views that show specific types of data, use charts to drill into more details about different sales-related records, or even analyze data by using external tools like Microsoft Excel and Microsoft Power BI.

Units in this learning path:

• 1 Analytical Options Overview
• 2 Searching Tools
• 3 Out of the Box Tools
• 4 Power Bi
• 5 Analyze Data
• 6 Knowledge Check
• 7 Summary

Products: Dynamics 365, Dynamics Sales

Roles: Business User, Functional Consultant

Level: Intermediate

Subjects: Data Analytics

Duration: 64 minutes

This credential earner demonstrated their applied knowledge in wrangling and analyzing open data sets with Python. The earner has performed data loading, cleaning, transforming, and visualizing using Python, to help improve services. The earner will build and develop their transferable skills and gain real industry experience, and be able to start their career as an entry-level data analyst, data engineer, or data scientist.

This credential earner demonstrated their applied knowledge in analyzing and developing security controls for third party applications on the organization’s network. The earner has identified potential risks, and developed a security implementation and disaster recovery plan. The earner will build and develop their transferable skills and gain real industry experience.

Use Microsoft Intune Suite Advanced Analytics, anomaly detection, and integration with Microsoft Defender to surface real-time device health and risk signals and drive risk-based policy decisions.

Units in this learning path:

• Introduction
• Explore Advanced Reporting
• Identify Respond Anomalies
• Integrate Intune Data Microsoft Defender
• Use Advanced Insights
• Knowledge Check
• Summary

Products: M365, Intune

Roles: Administrator

Level: Intermediate

Subjects: Device Management

Duration: 49 minutes

Learn how to implement tracing in your generative AI applications using Microsoft Foundry and OpenTelemetry. This module teaches you to capture detailed execution flows, debug complex workflows, and understand application behavior for better reliability and optimization.

Units in this learning path:

• Introduction
• Why Tracing
• What to Trace
• How to Trace
• Advanced Tracing
• Analyze Trace Data
• Exercise
• Knowledge Check
• Summary

Products: Azure, Foundry Tools

Roles: AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence, App Development

Duration: 65 minutes

Analyze and prepare content in eDiscovery review sets

Units in this learning path:

• Introduction
• Create Manage Review Set
• Search Review Set
• Tag Organize Content
• Run Analytics Review Set
• Export Reuse Review Set
• Query Keyword Reports
• Knowledge Check
• Summary

Products: M365, Microsoft Purview

Roles: Administrator, Auditor

Level: Intermediate

Subjects: Data Management, Threat Protection

Duration: 46 minutes

In this module, you'll learn about analyzing and resolving compliance issues using Microsoft Intune.

Units in this learning path:

• 1 Introduction
• 2 Intune Tenant Status
• 3 Service Health Dashboard
• 4 Troubleshooting Portal
• 5 Intune Reports
• 6 Endpoint Analytics
• 7 Connector Status
• 8 Client Health
• 9 Knowledge Check
• 10 Summary

Products: Mem, M365

Roles: Administrator

Level: Beginner

Subjects: It Management Monitoring, Compliance

Duration: 26 minutes

Learn how to use Microsoft 365 Copilot to analyze and visualize your data.

Units in this learning path:

• Introduction
• Analyze Data Workflows Excel
• Generate Insights Analyst Agent
• Knowledge Check
• Summary

Products: M365, Office 365

Roles: Administrator, Business User, Functional Consultant, Solution Architect, Technology Manager

Level: Beginner

Subjects: Artificial Intelligence, Business Applications

Duration: 46 minutes

Query, visualize, and act on application telemetry collected in Application Insights to detect failures, identify performance trends, and maintain operational visibility for AI solutions on Azure.

Units in this learning path:

• Introduction
• Write Basic Kql Queries
• Explore Logs Errors Performance
• Build Dashboards App Telemetry
• Create Workbooks Interactive Analysis
• Set Alerts App Failures Anomalies
• Exercise Query Logs Kql
• Knowledge Check
• Summary

Products: Azure Monitor

Roles: Developer

Level: Intermediate

Duration: 82 minutes

Practice responding to real-world SOC scenarios using Security Copilot and Microsoft security tools that detect, investigate, and mitigate cybersecurity threats.

Units in this learning path:

• Introduction
• How Should Soc Address Security Incidents
• How Can Socs Use AI Better Detect and Respond Threats
• Knowledge Check
• Summary

Products: Microsoft Defender, Microsoft Sentinel, Security Copilot

Roles: Student, School Leader

Level: Beginner

Duration: 35 minutes

Learn how to analyze images with Azure Content Understanding.

Units in this learning path:

• Introduction
• What Is Content Understanding
• Analyze Images with Content Understanding
• Exercise
• Knowledge Check
• Summary

Products: Microsoft Foundry

Roles: AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 43 minutes

Focus on evaluating analytics and key performance indicators of your marketing efforts to help understand impact and what tactics work best for your target audience. This learning path covers reviewing insights captured from contacts, leads, accounts, segments, and more. Entity-level and form-level calendars are covered as well as creating and customizing marketing calendars.

Modules in this learning path:

• Analyze Insights Marketing
• Access Interpret Analytics Marketing
• Marketing Calendar

Products: Dynamics 365, Customer Insights Journeys

Roles: Functional Consultant, Business User

Level: Intermediate

Subjects: Marketing Sales, Data Analytics

Duration: 118 minutes