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Microsoft

Improve business performance with AI Builder

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Do you want to bring AI to your business to improve your business performance? AI Builder offers a wide array of AI capabilities, such as text recognition and object detection. This learning path guides you through each use case, the creation of the models, and how to use them.

Modules in this learning path:

• Get Started with Form Processing
• Get Started with AI Builder Text Recognition
• Get Started with AI Builder Sentiment Analysis
• Get Started with AI Business Card Reader
• Get Started with AI Builder Object Detection
• Get Started with AI Builder Language Detection
• Get Started with AI Builder Key Phrase Extraction
• AI Builder Power Automate
• AI Builder Receipt Processing

Products: AI Builder

Roles: Maker, Business User

Level: Beginner

Subjects: Artificial Intelligence

Duration: 265 minutes

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Microsoft

Integrate MCP Tools with Azure AI Agents

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Enable dynamic tool access for your Azure AI agents. Learn how to connect MCP-hosted tools and integrate them seamlessly into agent workflows.

Units in this learning path:

• Introduction
• Understand Mcp Tool Discovery
• Mcp Client Server Setup
• Use Azure AI Agents with Mcp
• Exercise
• Knowledge Check
• Summary

Products: Azure AI Foundry, Azure AI Foundry Agent Service, Azure AI Foundry Sdk

Roles: AI Engineer, Developer, Solution Architect, Student

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 51 minutes

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Microsoft

Integrate custom tools into your agent

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Learn how to build an agent with custom tools using the Microsoft Foundry Agent Service.

Units in this learning path:

• Introduction
• Why Use Custom Tools
• Custom Tool Options
• How Use Custom Tools
• Exercise
• Knowledge Check
• Summary

Products: Azure AI Foundry, Azure AI Foundry Agent Service, Azure AI Foundry Sdk

Roles: AI Engineer, Developer, Solution Architect, Student

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 53 minutes

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Microsoft

Introduction to AI Skills for nonprofits

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Learn how to boost productivity with AI by understanding how to craft effective prompts with Copilot across Microsoft applications such as Word, PowerPoint, Outlook, Excel, and Teams. The AI Skills for Nonprofits collection is designed as a comprehensive skilling path to enhance the digital capabilities of nonprofit organizations. This learning path is recommended for all nonprofit professionals.

Modules in this learning path:

• Introduction Microsoft 365 Copilot
• Explore Possibilities Microsoft 365 Copilot
• Create Draft Content with Microsoft Copilot Microsoft 365

Products: AI Services, M365 Apps, Ms Copilot

Roles: Functional Consultant, Higher Ed Educator, School Leader, K 12 Educator, Business User, Business Owner

Level: Beginner

Subjects: Artificial Intelligence, Business Applications

Duration: 87 minutes

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Microsoft

Introduction to AI in Azure

sparkles-duotone-light-full Artificial Intelligence
This course introduces core concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions, focusing on Microsoft Foundry.

Modules in this learning path:

• Get Started AI Fundamentals
• Get Started AI in Foundry
• Fundamentals Machine Learning
• Design Machine Learning Model Training Solution
• Fundamentals Generative AI
• Get Started Generative AI Azure
• Introduction Language
• Get Started Language Azure
• Introduction AI Speech
• Recognize Synthesize Speech
• Introduction Computer Vision
• Get Started Computer Vision
• Introduction Information Extraction
• AI Information Extraction

Products: Azure AI Foundry

Roles: AI Engineer, Developer, Solution Architect, Student

Level: Beginner

Subjects: Artificial Intelligence

Duration: 619 minutes

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Microsoft

Introduction to AI speech concepts

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Imagine AI apps and agents that you can talk to. Explore the concepts behind AI speech, including speech recognition and synthesis.

Units in this learning path:

• Introduction
• Speech Solutions
• Speech Recognition
• Speech Synthesis
• Exercise Speech
• Knowledge Check
• Summary

Products: Azure AI Foundry

Roles: AI Engineer, Data Scientist, Developer, Solution Architect, Student

Level: Beginner

Subjects: Artificial Intelligence

Duration: 28 minutes

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Microsoft

Introduction to AI-powered information extraction concepts

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Introduction to AI-powered information extraction concepts

Units in this learning path:

• Introduction
• Overview
• Vision Extraction
• Form Extraction
• Exercise
• Knowledge Check
• Summary

Products: Azure AI Foundry

Roles: AI Engineer, Data Scientist, Developer, Solution Architect, Student

Level: Beginner

Subjects: Artificial Intelligence

Duration: 28 minutes

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Amazon Web Services

Introduction to AWS Cloud: Builder Labs Learning Plan

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The Introduction to AWS Cloud – AWS Builder Labs learning plan provides an overview to AWS services through 10 hands-on lab exercises, covering essential AWS services across compute, networking, databases, storage, content delivery, serverless…
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Amazon Web Services

Introduction to AWS Inferentia and Amazon EC2 Inf1 Instances

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In this video, you will learn about machine learning inference processing challenges and use cases, and get an understanding of the AWS solution to help solve the challenges using Amazon EC2 Inf1 instances powered by AWS Inferentia. You'll get an…
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Amazon Web Services

Introduction to Amazon Bedrock: Foundation Models and AI Applications

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This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…
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Amazon Web Services

Introduction to Amazon Q Developer (Technical)

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This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…
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Amazon Web Services

Introduction to Amazon SageMaker

sparkles-duotone-light-full Artificial Intelligence
Amazon SageMaker is a fully managed service that data scientists and developers use to quickly build, train, and deploy machine learning models. In this introductory course, you are given an overview of Amazon SageMaker, focused on the service's…
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