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This module explores the dynamic integration of artificial intelligence (AI) in education.

Units in this learning path:

• Introduction
• Integrate Artificial Intelligence Education
• AI and Future of Education
• Knowledge Check
• Summary

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

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

Level: Beginner

Subjects: Artificial Intelligence

Duration: 17 minutes

Build agents that can take action from conversations. Learn how to call tools, invoke agent flows, and make HTTP requests from topics in Copilot Studio.

Units in this learning path:

• Introduction
• Call Tools Topics
• Call Agent Flows Topics
• Configure Http Request Node
• Knowledge Check
• Summary

Products: Microsoft Copilot Studio

Roles: Maker, Functional Consultant

Level: Intermediate

Subjects: Artificial Intelligence, Chatbots

Duration: 42 minutes

Configure Power Platform connectors and REST APIs as action tools on your Copilot Studio agents. Learn to add prebuilt and custom connectors, upload OpenAPI specifications to create REST API tools, and configure authentication to integrate your agent with external services.

Units in this learning path:

• Introduction
• Understand Connector Rest API Tools
• Add Connector Tools
• Configure Connector Authentication
• Add Rest API Tool
• Knowledge Check
• Summary

Products: Power Platform, Microsoft Copilot Studio

Roles: Maker, Functional Consultant

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 49 minutes

Explore how Azure OpenAI Studio enables the development of AI-powered dialogue systems. Learn the core architecture of conversational agents, the models behind them, and how to design basic chat interactions using Microsoft tools.

Units in this learning path:

• Introduction
• AI Powered Dialogue Systems
• Components and Architecture of Dialogue Systems
• Overview of AI Models Used in Dialogue Systems
• Azure Openai Studio Overview
• Exercise
• Knowledge Check
• Summary

Products: Ms Copilot, Azure Openai

Roles: Data Engineer, Data Scientist, Developer

Level: Beginner

Subjects: Artificial Intelligence

Duration: 75 minutes

This Playlist is an unordered collection of supplemental labs that have relevance to the classroom training The Machine Learning Pipeline on AWS. Students of that class may find the labs in this playlist to be useful hands-on practice.

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…

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

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

Train and evaluate deep learning models

Units in this learning path:

• Introduction
• Deep Neural Network Concepts
• Convolutional Neural Networks
• Transfer Learning
• Exercise Deep Learning
• Knowledge Check
• Summary

Products: Azure

Roles: Data Scientist

Level: Advanced

Subjects: Machine Learning

Duration: 47 minutes

Regression is a commonly used kind of machine learning for predicting numeric values.

Units in this learning path:

• Introduction
• What Is Regression
• Exercise Model
• Discover New Regression Models
• Exercise Powerful Models
• Improve Models
• Exercise Optimize Save Models
• Knowledge Check
• Summary

Products: Azure

Roles: Data Scientist

Level: Intermediate

Subjects: Machine Learning

Duration: 69 minutes

In this module, you learn various AI-powered tools and how to effectively use them in your training sessions for an optimized learning experience.

Units in this learning path:

• Introduction
• Explore Microsoft AI Powered Tools for Trainers
• Build Training Plans with Microsoft Copilot
• Poster Design with Microsoft Designer
• Knowledge Check
• Summary

Products: Foundry Tools, 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: 116 minutes

In this learning path, business leaders will find the knowledge and resources to adopt AI in their organizations. It explores planning, strategizing, and scaling AI projects in a responsible way.

Modules in this learning path:

• Leverage AI Tools
• Create Business Value
• Embrace Responsible AI Principles Practices
• Scale AI

Products: Azure Openai

Roles: Business Leader, Business Owner

Level: Beginner

Subjects: Artificial Intelligence

Duration: 154 minutes