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Microsoft

Threat Modeling Security Fundamentals

shield-halved-duotone-light-full Cyber Security
This learning path takes you through the four main phases of threat modeling, explains the differences between each data-flow diagram element, walks you through the threat modeling framework, recommends different tools and gives you a step-by-step guide on creating proper data-flow diagrams.

Modules in this learning path:

• Tm Introduction to Threat Modeling
• Tm Create a Threat Model Using Foundational Data Flow Diagram Elements
• Tm Provide Context with the Right Depth Layer
• Tm Approach Your Data Flow Diagram with the Right Threat Model Focus
• Tm Use a Framework to Identify Threats and Find Ways to Reduce or Eliminate Risk
• Tm Prioritize Your Issues and Apply Security Controls
• Tm Use Recommended Tools to Create a Data Flow Diagram

Products: Azure, Azure

Roles: Administrator, Developer, Devops Engineer, Solution Architect, Security Engineer

Level: Beginner, Intermediate

Subjects: Threat Protection

Duration: 192 minutes

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Amazon Web Services

Threat Modeling for Builders Workshop

shield-halved-duotone-light-full Cyber Security
This workshop introduces you to some of the background of threat modeling and why to do it, as well as some of the tools and techniques for modeling systems, identifying threats, and selecting mitigations. The workshop guides you through the…
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Microsoft

Threat detection with Microsoft Sentinel analytics

shield-halved-duotone-light-full Cyber Security
Threat detection with Microsoft Sentinel analytics

Units in this learning path:

• 1 Introduction
• 2 Exercise Setup
• 3 Azure Sentinel Analytics Overview
• 4 Analytics Rules
• 5 Create Rule from Templates
• 6 Create Rule from Wizard
• 7 Manage Analytics Rules
• 8 Exercise Detect Threats
• 9 Summary

Products: Azure, Microsoft Sentinel

Roles: Security Operations Analyst

Level: Intermediate

Subjects: Threat Protection

Duration: 70 minutes

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Microsoft

Threat hunting with Microsoft Sentinel

shield-halved-duotone-light-full Cyber Security
Learn how to proactively identify threat behaviors by using Microsoft Sentinel queries.

Units in this learning path:

• 1 Introduction
• 2 Exercise Setup
• 3 Query Management Creation
• 4 Bookmarks
• 5 Livestream
• 6 Exercise Hunt for Threats
• 7 Summary

Products: Azure, Microsoft Sentinel

Roles: Solution Architect, Security Operations Analyst

Level: Intermediate

Subjects: Threat Protection

Duration: 65 minutes

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Microsoft

Threat response with Microsoft Sentinel playbooks

shield-halved-duotone-light-full Cyber Security
Provide an introduction to implementing threat response with Microsoft Sentinel playbooks.

Units in this learning path:

• 1 Introduction
• 2 Exercise Setup
• 3 Playbook Overview
• 4 Playbook Trigger
• 5 Playbook on Demand
• 6 Exercise Create Playbook
• 7 Summary

Products: Azure, Azure Log Analytics, Azure Logic Apps, Microsoft Sentinel

Roles: Security Operations Analyst

Level: Intermediate

Subjects: Threat Protection

Duration: 80 minutes

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Microsoft

Time entries and modern approvals infrastructure in Dynamics 365 Project Operations

This module describes how to create, edit, import, and recall time entries, and it explores the various customizations that you can apply.

Units in this learning path:

• Introduction
• Time Entry
• Create Edit Recall Time Entries
• Import Time Entry
• Visualizations Reporting
• Exercise
• Check
• Summary

Products: Dynamics 365, Dynamics Project Operations, Dynamics Finance

Roles: Functional Consultant, Business User

Level: Intermediate

Subjects: Business Applications

Duration: 41 minutes

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Microsoft

Tooling, MCP, and Agent Execution Environments

This module introduces how modern software agents interact with tools, APIs, and execution environments to perform meaningful tasks. It covers the role of Model Context Protocol (MCP), GitHub Actions, and agentic workflows in enabling scalable and controlled agent execution. You will also learn how GitHub ensures security and governance through defined execution boundaries and safeguards.

Units in this learning path:

• Introduction
• Interact Github Apis Workflows
• Mcp Servers Registry Allowlists
• Execution Context Boundaries
• Agent Execution Limits Protections
• Exercise
• Knowledge Check
• Summary

Products: Github

Roles: Devops Engineer, Administrator, Developer, Solution Architect

Level: Intermediate

Duration: 80 minutes

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Microsoft

Trace serial and lot numbers in Dynamics 365 Business Central

Do you want to discover how to trace items by their serial and lot numbers? This module explores the Trace and Navigate functions that are used to trace serial and lot numbers in Microsoft Dynamics 365 Business Central.

Units in this learning path:

• 1 Introduction
• 2 Trace
• 3 Navigate
• 4 Exercise
• 5 Check
• 6 Summary

Products: Dynamics 365, Dynamics Business Central

Roles: Functional Consultant, Business User

Level: Intermediate

Subjects: Supply Chain Management

Duration: 24 minutes

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Amazon Web Services

Trails for AWS CloudTrail Getting Started

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In this course, you will learn the benefits and technical concepts of trails for AWS CloudTrail. Using trails for CloudTrail, you can archive, analyze, and respond to changes in your Amazon Web Services (AWS) resources. A trail is a configuration…
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Microsoft

Train a machine learning model in Azure Databricks

chart-line-duotone-light-full Data Science
Learn how to train machine learning models using Spark and the MLlib library in Azure Databricks.

Units in this learning path:

• Introduction
• Understand Machine Learning
• Machine Learning Azure Databricks
• Prepare Data for Machine Learning
• Train Model
• Evaluate Model
• Exercise Machine Learning Databricks
• Knowledge Check
• Summary

Products: Azure Databricks

Roles: Data Scientist

Level: Intermediate

Subjects: Data Management, Machine Learning

Duration: 84 minutes

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Microsoft

Train and evaluate classification models

sparkles-duotone-light-full Artificial Intelligence
Train and evaluate classification models

Units in this learning path:

• Introduction
• What Is Classification
• Exercise Model
• Evaluate Classification Models
• Exercise Alternative Classification Metrics
• Multiclass Classification
• Exercise Multiclass Classification
• Knowledge Check
• Summary

Products: Azure

Roles: Data Scientist

Level: Intermediate

Subjects: Machine Learning, Classification Analysis

Duration: 64 minutes

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Microsoft

Train and evaluate clustering models

sparkles-duotone-light-full Artificial Intelligence
Clustering is a type of machine learning that is used to group similar items into clusters.

Units in this learning path:

• Introduction
• What Is Clustering
• Exercise Model
• Different Types Clustering
• Exercise New Models
• Knowledge Check
• Summary

Products: Azure

Roles: Data Scientist

Level: Intermediate

Subjects: Machine Learning

Duration: 46 minutes

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