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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…

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…

This module explores various subsets within artificial intelligence (AI) such as natural language processing (NLP), computer vision, and recommendation systems and discuss the integration of AI-powered tools into a learning environment.

Units in this learning path:

• Introduction
• Common AI Subsets
• AI Powered Tools Education
• Evaluating Efficacy AI Systems
• Knowledge Check
• Summary

Products: Foundry Tools, 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: 19 minutes

Learn how to create and manage agents with Power Virtual Agents.

Modules in this learning path:

• Implement Power Virtual Agents
• Pva Voice
• Cognitive Service Power Virtual Agents

Products: Ms Copilot

Roles: Maker, Administrator

Level: Intermediate

Subjects: Chatbots

Duration: 114 minutes

Azure Document Intelligence uses OCR and deep learning to extract text, key-value pairs, tables, and structured data from documents. Learn how to use prebuilt models, train custom models, and build document processing solutions.

Units in this learning path:

• Introduction
• What Is Document Intelligence
• Use Document Intelligence Studio
• Use Prebuilt Models
• Train Custom Models
• Exercise
• Knowledge Check
• Summary

Products: Foundry Tools, Document Intelligence, Microsoft Foundry

Roles: AI Engineer, Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 71 minutes

Learn about AI Builder Business card reader and how to use it in Microsoft Power Apps and Power Automate.

Units in this learning path:

• 1 Introduction
• 2 Canvas App
• 3 Build Flow
• 4 Model Driven App
• 5 Check
• 6 Summary

Products: AI Builder, Power Platform, Power Automate

Roles: Maker, Business User

Level: Beginner

Subjects: Artificial Intelligence

Duration: 41 minutes

Use generative AI vision and Content Understanding in Azure to extract insights from visual data.

Modules in this learning path:

• Develop Generative AI Vision Apps
• Generate Images Azure Openai
• Generate Video with Foundry
• Analyze Images with Content Understanding
• Analyze Content AI
• Analyze Content AI API
• Extract Data with Document Intelligence
• AI Knowledge Mining

Products: Foundry Tools, Microsoft Foundry, Azure Cognitive Search

Roles: AI Engineer, Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 426 minutes

Learn to extract insights using Azure Language and Azure Database for PostgreSQL.

Units in this learning path:

• Introduction
• Extract
• Recognize
• Detect Personally Identifiable Information
• Exercise
• Knowledge Check
• Summary

Products: Azure Database Postgresql, Foundry Tools

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence, Databases

Duration: 22 minutes

Create a seamless flow with Microsoft Power Automate using invoice processing.

Units in this learning path:

• 1 Introduction
• 2 Automate Workflow
• 3 Check
• 4 Summary

Products: Power Automate, AI Builder, Power Platform

Roles: Maker, Business User

Level: Beginner

Subjects: Artificial Intelligence, Business Applications

Duration: 10 minutes

A Learning Plan pulls together training content for a particular role or solution, and organizes those assets from foundational to advanced. Use Learning Plans as a starting point to discover training that matters to you. The following courses…

Learn how to find the best classification model with automated machine learning (AutoML). You'll use the Python SDK (v2) to configure and run an AutoML job.

Units in this learning path:

• Introduction
• Preprocess Data Configure Featurization
• Run Job
• Evaluate Compare Models
• Exercise
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 37 minutes

AI agents are rapidly transforming how organizations operate, automating tasks, enhancing decision-making, and improving customer experiences. But to scale adoption and secure stakeholder buy-in, it's not enough to showcase innovation; leaders must clearly demonstrate the business value these agents deliver.

Units in this learning path:

• Convert Agents Business Impact
• Forecast Return Investment
• Apply Return Investment Analysis
• Knowledge Check
• Summary

Products: Microsoft Foundry, Foundry Tools, Azure Openai, Ms Copilot

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 32 minutes