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Microsoft

Introduction to generative AI - Exploring the basics

sparkles-duotone-light-full Artificial Intelligence
By understanding the basics of generative AI models, you empower yourself to make responsible decisions when using these models. This knowledge allows you to critically evaluate outputs, assess their reliability, and understand potential limitations leading to more informed and effective interactions with generative AI.

Units in this learning path:

• Introduction
• What Is Generative AI
• What Are Large Language Models
• Create Training Content Using Microsoft Copilot
• Apply Generative AI to Enhance Your Training Experience
• Apply Critical Thinking When Using Generative AI
• Knowledge Check
• Summary

Products: AI Services, Azure Machine Learning, Azure Machine Learning Designer, M365 Apps, Azure Translator Text, Azure Translator Speech, Ms Copilot, Language Service

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

Level: Beginner

Subjects: Artificial Intelligence

Duration: 22 minutes

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Microsoft

Introduction to generative AI and agents

sparkles-duotone-light-full Artificial Intelligence
Ever wondered how AI can create content, answer questions, and assist with tasks? This module introduces you to the world of generative AI and agents.

Units in this learning path:

• Introduction
• Language Models
• Writing Prompts
• Agents
• Exercise AI Agent
• Knowledge Check
• Summary

Products: Azure AI Foundry

Roles: AI Engineer, Developer, Solution Architect, Student

Level: Beginner

Subjects: Artificial Intelligence

Duration: 37 minutes

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Microsoft

Introduction to generative AI for trainers

sparkles-duotone-light-full Artificial Intelligence
Discover the world of generative AI, including basic concepts, the different applications in various fields, and the skills necessary to use generative AI tools within training environments. Gain knowledge of large language models (LLMs), AI-powered image generators, and Microsoft Copilot. Explore prompt engineering, navigate the limitations of content created by generative AI models, and learn to utilize generative AI models into your trainings critically and responsibly.

Modules in this learning path:

• Intro Generative AI Explore Basics
• Create Prompts for Generative AI Training Tools
• Create Images with Generative AI
• Use Copilot to Create Training Materials

Products: AI Services, Azure Machine Learning, Azure Machine Learning Designer, M365 Apps, Azure Translator Text, Azure Translator Speech, Ms Copilot, Language Service

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

Level: Beginner

Subjects: Artificial Intelligence

Duration: 156 minutes

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Microsoft

Introduction to inclusive design in practice in collaboration with Teach Access

Welcome to Inclusive Design in Practice. In this learning path, you’ll explore essential concepts of digital accessibility to ensure websites and apps are inclusive for all users.

Modules in this learning path:

• Develop Keyboard Accessible Products
• Develop Products with Screen Reader Support
• Develop Products with Accessible Color Contrast
• Develop Accessible Resize Reflow
• Accessibility Design Specs with Annotations

Products: M365

Roles: Developer

Level: Beginner

Subjects: Accessibility

Duration: 339 minutes

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Microsoft

Introduction to information security and compliance in Microsoft Purview

shield-halved-duotone-light-full Cyber Security
Discover the tools and concepts in Microsoft Purview for managing and protecting sensitive data. Understand how to keep data secure and compliant throughout its lifecycle across different environments.

Units in this learning path:

• Introduction
• Foundations Data Security Compliance
• Know Your Data
• Protect Your Data
• Prevent Data Loss
• Govern Your Data
• Knowledge Check
• Summary

Products: Microsoft Purview, M365, Office 365

Roles: Administrator

Level: Intermediate

Subjects: Information Protection Governance, Threat Protection

Duration: 42 minutes

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Microsoft

Introduction to infrastructure as code using Terraform

gear-duotone-light-full Software Development
Learn the fundamentals of how Terraform can help you adopt infrastructure as code to quickly and confidently scale your cloud deployments.

Units in this learning path:

• Introduction
• What Infrastructure Code
• Azure Resource Manager Terraform State
• What Terraform
• How Terraform Works
• When Use Terraform
• Knowledge Check
• Summary

Products: Azure Resource Manager

Roles: Devops Engineer, Developer, Administrator

Level: Beginner

Subjects: Devops, Cloud Computing

Duration: 28 minutes

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Microsoft

Introduction to integrating Dataverse with Dynamics 365 Business Central

Learn about integrating Dataverse with Dynamics 365 Business Central.

Units in this learning path:

• Introduction
• Create Environment
• Start Dataverse
• Extend Dataverse
• Base Integration
• Exercise
• Check
• Summary

Products: Dynamics Business Central, Dataverse

Roles: Functional Consultant, Business User

Level: Intermediate

Subjects: Business Applications

Duration: 46 minutes

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Microsoft

Introduction to integrating Dynamics 365 Sales with Dynamics 365 Business Central

Learn about integrating Dynamics 365 Sales with Dynamics 365 Business Central.

Units in this learning path:

• Introduction
• Integration Wizard
• Tables Synchronize
• Verify Settings
• Exercise
• Check
• Summary

Products: Dynamics Business Central, Dynamics 365, Dynamics Sales

Roles: Functional Consultant, Business User

Level: Intermediate

Subjects: Business Applications

Duration: 33 minutes

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Microsoft

Introduction to large language models

Learn about large language models, their core concepts, the models that are available to use, and when to use them.

Units in this learning path:

• Introduction
• Concept Understand Llms
• Llms Core Concepts
• When to Use Llms
• Which Model to Use
• Knowledge Check
• Summary

Products: Azure

Roles: Developer

Level: Beginner

Duration: 25 minutes

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Microsoft

Introduction to machine learning concepts

Machine learning is the basis for most modern artificial intelligence solutions. A familiarity with the core concepts on which machine learning is based is an important foundation for understanding AI.

Units in this learning path:

• Introduction
• What Is Machine Learning
• Types of Machine Learning
• Regression
• Binary Classification
• Multiclass Classification
• Clustering
• Deep Learning
• Exercise
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: AI Engineer, Data Scientist

Level: Beginner

Duration: 93 minutes

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Microsoft

Introduction to machine learning operations (MLOps)

Introduction to machine learning operations (MLOps)

Modules in this learning path:

• Introduction Development Operations Principles for Machine Learn
• Source Control for Machine Learning Projects
• Automate Machine Learning Workflows
• Continuous Deployment for Machine Learning

Products: Azure Devops, Azure Machine Learning, Github

Roles: Data Scientist

Level: Beginner

Duration: 118 minutes

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Microsoft

Introduction to manufacturing in Dynamics 365 Business Central

Learn about manufacturing in Dynamics 365 Business Central.

Units in this learning path:

• Introduction
• Manufacturing
• Business Central Manufacturing
• Assembly Management
• Configure Data
• Check
• Summary

Products: Dynamics 365, Dynamics Business Central

Roles: Business User, Functional Consultant

Level: Intermediate

Subjects: Finance Accounting

Duration: 37 minutes

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