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This module introduces the student to the concepts of modern management and the enterprise desktop lifecycle.

Units in this learning path:

• Introduction
• Examine Benefits Modern Management
• Examine Enterprise Desktop Life Cycle Model
• Examine Planning Purchasing
• Examine Desktop Deployment
• Plan Application Deployment
• Plan Operations Support
• Plan Upgrades Retirement
• Knowledge Check
• Summary

Products: Mem, Configuration Manager, Intune, Windows, Microsoft Deployment Toolkit

Roles: Administrator

Level: Intermediate

Subjects: It Management Monitoring

Duration: 24 minutes

This module examines the types of threat vectors and their potential outcomes that organizations must deal with on a daily basis and how users can enable hackers to access targets by unwittingly executing malicious content. MS-102

Units in this learning path:

• Introduction
• Explore Work Threat Landscape
• Examine Phishing
• Examine Spoofing
• Compare Malware Spam
• Examine Account Breach
• Examine Elevation Privilege Attacks
• Examine Data Exfiltration
• Examine Attackers Delete Data
• Examine Data Spillage
• Examine Other Types Attacks
• Knowledge Check
• Summary

Products: M365, Office 365

Roles: Administrator, Solution Architect, Technology Manager

Level: Intermediate

Subjects: Business Applications, Compliance, Identity Access, Insider Risk, It Management Monitoring, Productivity, Security, Threat Protection

Duration: 46 minutes

Learn how to use Power Automate desktop app to open, read, and manipulate Excel files with various Microsoft Excel actions.

Units in this learning path:

• 1 Introduction
• 2 Launching Saving Closing
• 3 Reading Excel Document
• 4 Writing Excel Worksheet
• 5 Additional Actions
• 6 Managing Worksheets
• 7 Exercise
• 8 Check Knowledge
• 9 Summary

Products: Power Platform, Power Automate

Roles: Maker, Developer, Functional Consultant

Level: Beginner, Intermediate

Subjects: Process Workflow

Duration: 52 minutes

Learn how to execute across warehouse operations.

Units in this learning path:

• Introduction
• Cycle Counting
• Material Handling Equipment Interface
• Exercise
• Check
• Summary

Products: Dynamics 365, Dynamics Scm

Roles: Functional Consultant, Business User

Level: Intermediate

Subjects: Business Applications

Duration: 58 minutes

Students learn about the various types of device profiles, and how to create and manage them.

Units in this learning path:

• Introduction
• Explore Intune Device Profiles
• Create Device Profiles
• Create Custom Device Profile
• Knowledge Check
• Summary

Products: Windows, Configuration Manager, Intune

Roles: Administrator

Level: Intermediate

Subjects: Device Management, Identity Access

Duration: 18 minutes

Execute existing SSIS packages in Azure Data Factory or Azure Synapse Pipeline

Units in this learning path:

• Introduction
• Describe SQL Server Integration Services
• Understand Azure Ssis Integration Runtime
• Set Up Azure Ssis Integration Runtime
• Run
• Migrate
• Knowledge Check
• Summary

Products: Azure Data Factory, Azure Synapse Analytics

Roles: Data Engineer

Level: Intermediate

Subjects: Cloud Computing, Data Analytics, Data Storage

Duration: 24 minutes

This module introduces Mobile Application Management (MAM). Students will learn about considerations for implementing MAM and will be introduced to the management of MAM using Intune and Configuration Manager.

Units in this learning path:

• Introduction
• Examine Mobile Application Management
• Examine Considerations Mobile Application Management
• Prepare Line of Business Apps App Protection Policies
• Implement Mobile Application Management Policies Intune
• Manage Mobile Application Management Policies Intune
• Knowledge Check
• Summary

Products: Windows, Configuration Manager, Intune

Roles: Administrator

Level: Intermediate

Subjects: Cloud Computing

Duration: 24 minutes

Execute queries and build a Generative AI application with Azure Cosmos DB

Modules in this learning path:

• Query Azure Cosmos Db SQL API
• Author Complex Queries Azure Cosmos Db SQL API
• Build Generative AI Applications with Azure Cosmos Db Nosql

Products: Azure Cosmos Db, Azure Openai

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence, App Development, Databases

Duration: 218 minutes

Author user-defined functions and triggers using JavaScript in Azure Cosmos DB for NoSQL.

Units in this learning path:

• Introduction
• Create User Defined Functions
• Create User Defined Functions Sdk
• Add Pre Triggers to Operation
• Create Triggers Use Triggers Sdk
• Exercise Implement Then Use Udf Using Sdk
• Knowledge Check
• Summary

Products: Azure Cosmos Db

Roles: Developer

Level: Intermediate

Subjects: Databases

Duration: 53 minutes

Start here and learn how you can get the full power of Azure with your Java apps - use idiomatic libraries to connect and interact with your preferred cloud services, including Azure SQL and NoSQL databases, messaging and eventing systems, Redis cache, storage and directory services. As always, use tools and frameworks that you know and love – Spring, Tomcat, WildFly, JBoss, WebLogic, WebSphere, Maven, Gradle, IntelliJ, Eclipse, Jenkins, Terraform and more.

Modules in this learning path:

• Deploy Java Ee App to App Service
• Azure Java App Enable Authentication Authorization

Products: Azure, Entra Id, Azure App Service, Azure Cache Redis, Azure Clis, Azure Cosmos Db, Azure Database Mysql, Azure Spring Apps, Msal Java, Azure Service Bus

Roles: Developer, Devops Engineer, Maker, Solution Architect, Student, Technology Manager

Level: Beginner, Intermediate, Advanced

Duration: 84 minutes

Learn how to find the best machine learning model with automated machine learning (AutoML), MLflow-tracked notebooks, and the Responsible AI dashboard.

Units in this learning path:

• Introduction
• Preprocess Data Configure Featurization
• Run Job
• Evaluate Compare Models
• Model Tracking
• Train Models Notebooks
• Responsible AI Dashboard
• Exercise
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 65 minutes

Learn how to find the best model with automated machine learning (AutoML) and by experimenting in notebooks.

Modules in this learning path:

• Find Best Classification Model Automated Machine Learning
• Track Model Training Jupyter Notebooks Mlflow

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 70 minutes