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535 courses available

Microsoft

Create an Azure AI Search solution

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Create an Azure AI Search solution

Units in this learning path:

• Introduction
• Manage Capacity
• Resources for Search
• Create Data Source
• Search Index
• Apply Filtering Sorting
• Enhance Index
• Exercise Search
• Knowledge Check
• Summary

Products: Azure Cognitive Search

Roles: AI Engineer, Developer, Solution Architect

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 63 minutes

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Microsoft

Create an Azure Content Understanding client application

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Use the Azure Content Understanding REST API for multimodal content analysis and information extraction.

Units in this learning path:

• Introduction
• Prepare Content Understanding
• Create Analyzer
• Analyze
• Exercise
• Knowledge Check
• Summary

Products: AI Services, Azure AI Foundry

Roles: AI Engineer, Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 60 minutes

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Microsoft

Create an agent with Microsoft Copilot Studio and Dataverse for Teams

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Discover how Microsoft Copilot Studio and Dataverse for Teams enable quick access to information, enhancing decision-making and cost-efficiency.

Units in this learning path:

• 1 Introduction
• 2 Create First Chatbot
• 3 Create Modify Topics
• 4 Add Inputs Variables Conditions
• 5 Call Action Pull Data
• 6 Publish Share
• 7 Check
• 8 Summary

Products: Ms Copilot

Roles: Business User

Level: Beginner

Subjects: Chatbots

Duration: 41 minutes

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Microsoft

Create and explore the Responsible AI dashboard for a model in Azure Machine Learning

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Create and explore the Responsible AI dashboard for a model in Azure Machine Learning using the Python SDK v2.

Units in this learning path:

• Introduction
• Understand Responsible AI
• Create Responsible Dashboard
• Explore Responsible Dashboard
• Exercise Explore Responsible Dashboard
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 42 minutes

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Microsoft

Create and publish agents with Microsoft Copilot Studio

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Learn how to create, manage, and maintain agents with Microsoft Copilot Studio.

Modules in this learning path:

• Power Virtual Agent Bots
• Create Copilots Copilot Studio
• Manage Power Virtual Agent Topics
• Power Virtual Agents Entities
• Enhance Power Virtual Agent Bots
• Build Effective Bots

Products: Ms Copilot

Roles: Maker, Administrator

Level: Intermediate

Subjects: Chatbots

Duration: 294 minutes

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Microsoft

Create apps, copilots, flows, and more with Microsoft Dataverse and Teams

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Learn how to create apps, flows, and more with Microsoft Dataverse for Teams

Modules in this learning path:

• Get Started Dataverse Teams
• Build App Dataverse Teams
• Build First Workflow
• Create Chatbot Power Virtual Agents Dataverse Teams
• Dataverse Teams Power Bi

Products: Power Platform, Power Apps, Power Automate, Ms Copilot, Office Teams, Dataverse

Roles: Business User, Maker

Level: Beginner

Subjects: Chatbots, Custom App Development

Duration: 146 minutes

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Microsoft

Create business value with AI

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Learn how to align AI to business strategy and ensure readiness using essential drivers for scalable, impactful, secure adoption.

Units in this learning path:

• Introduction
• Business Strategy
• Technology Data Strategy
• AI Strategy Experience
• Organization Culture
• AI Governance
• Knowledge Check
• Summary

Products: Azure, M365

Roles: Business Leader, Business Owner

Level: Beginner

Subjects: Artificial Intelligence, Data Management

Duration: 31 minutes

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Microsoft

Create custom text classification solutions

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The Azure Language service enables processing of natural language to use in your own app. Learn how to build a custom text classification project.

Units in this learning path:

• Introduction
• Understand Types of Classification Projects
• Understand How to Build Projects
• Exercise Classify Text
• Knowledge Check
• Summary

Products: AI Services

Roles: AI Engineer, Developer

Level: Intermediate

Subjects: Artificial Intelligence, Classification Analysis

Duration: 58 minutes

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Microsoft

Create effective prompts for generative AI training tools

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Learn how to craft engaging and informative prompts with Microsoft Copilot. This module will teach you the basic concepts of prompt engineering, the elements of an effective prompt, and best practices in prompting.

Units in this learning path:

• Introduction
• Prompt Based Generative AI Model
• What Is Prompt Engineering
• Identify the Types of Prompt Instructions
• Create Effective Prompts
• 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: 20 minutes

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Microsoft

Create images with generative AI

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Discover AI-powered image generators. Learn about image creation tools like Microsoft Image Creator. Understand their potential applications in the workplace and training settings and discover best practices for optimal results. Enhance your skills and transform your creative process with AI-powered image generators.

Units in this learning path:

• Introduction
• Enhance Trainings Using AI Powered Image Generators
• Microsoft Image Creator Your Training AI Assistant
• Use a Prompt That Paints a Clear Picture
• Generate Different Image Styles
• 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: 26 minutes

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Microsoft

Create machine learning models

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Machine learning is the foundation for predictive modeling and artificial intelligence. Learn some of the core principles of machine learning and how to use common tools and frameworks to train, evaluate, and use machine learning models.

Modules in this learning path:

• Explore Analyze Data with Python
• Train Evaluate Regression Models
• Train Evaluate Classification Models
• Train Evaluate Cluster Models
• Train Evaluate Deep Learn Models

Products: Azure Machine Learning

Roles: AI Engineer, Data Scientist, Developer, Student

Level: Intermediate

Subjects: Machine Learning

Duration: 286 minutes

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Microsoft

Create question answering solutions with Azure Language

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Create question answering solutions with Azure Language

Units in this learning path:

• Introduction
• Understand Question Answer Capability
• Compare to Language Understanding
• Create Knowledge Base
• Implement Multi Turn Conversation
• Test Publish Knowledge Base
• Consume Client Interfaces
• Implement Active Learning
• Exercise Create
• Knowledge Check
• Summary

Products: AI Services, Azure AI Foundry

Roles: AI Engineer, Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 46 minutes

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