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Anthropic Claude models and Microsoft Foundry create a powerful combination for developing generative AI applications and agents.

Units in this learning path:

• Introduction
• Foundry Overview
• Claude Overview
• Deploy Claude Models
• Develop Claude Apps
• Knowledge Check
• Summary

Products: Microsoft Foundry

Roles: AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 16 minutes

This module introduces Microsoft 365 Copilot Chat (Basic) as a secure, AI-powered assistant that boosts productivity by applying web-based insights, while guiding you on how to access it, navigate the interface, and start using it effectively.

Units in this learning path:

• Introduction
• Understand Microsoft 365 Copilot Chat
• Access Microsoft 365 Copilot Chat
• Utilize Microsoft 365 Copilot Chat
• Keep Your Data Safe While Use Copilot Chat
• Knowledge Check
• Summary

Products: Ms Copilot

Roles: Business User

Level: Beginner

Subjects: Artificial Intelligence

Duration: 24 minutes

Learn about Microsoft Agent 365, the benefits it provides and its capabilities.

Units in this learning path:

• Introduction
• What Is Agent 365
• Benefits of Agent 365
• Observability
• Governance
• Security
• Who Uses Agent 365
• Check
• Summary

Products: Agent 365, Ms Copilot

Roles: Administrator, Business User, Functional Consultant, Security Engineer, Security Operations Analyst, Solution Architect

Level: Beginner

Subjects: Artificial Intelligence

Duration: 48 minutes

This module introduces the foundational concepts for creating agents with Microsoft Copilot Studio. It explains the available agent harnesses, compares the standard and GitHub Copilot authoring experiences, and describes how to build, test, publish, and analyze agents.

Units in this learning path:

• 1 Introduction
• 2 Get Started
• 3 Create Bots
• Declarative Agents
• Create Agents
• 4 Topics
• Generative AI
• 5 Test Bots
• 6 Performance Analysis
• Exercise Copilot Studio
• 7 Check
• 8 Summary

Products: Ms Copilot, Microsoft Copilot Studio

Roles: Functional Consultant, Developer, Maker

Level: Beginner, Intermediate

Subjects: Artificial Intelligence, Generative AI, Chatbots

Duration: 60 minutes

Learn how Microsoft Foundry IQ helps AI agents retrieve relevant information from enterprise data and generate grounded, citation-backed responses.

Units in this learning path:

• Introduction
• Explore Foundry Iq
• Knowledge Bases
• Connect Agents
• Exercise
• Knowledge Check
• Summary

Products: Microsoft Foundry

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

Level: Beginner

Subjects: Artificial Intelligence

Duration: 38 minutes

This module examines how agents act as AI-powered assistants embedded within SharePoint and Microsoft Copilot Chat, providing real-time support by offering suggestions, automating processes, and helping users navigate through complex tasks.

Units in this learning path:

• Introduction
• No Code Agents
• Who Can Create Use No Code Agents
• Explore Benefits No Code Agents
• Enhance Collaboration Using No Code Agents
• Examine Governance Controls No Code Agents
• Knowledge Check
• Summary

Products: M365, Office 365

Roles: Administrator, Business User, Developer, Student

Level: Beginner

Subjects: Artificial Intelligence, Business Applications, Productivity

Duration: 35 minutes

Learn how to use generative AI models and agents with Microsoft Foundry.

Units in this learning path:

• Introduction
• Generative AI Models
• Using Generative AI Models
• Creating an Agent
• Exercise
• Knowledge Check
• Summary

Products: Microsoft Foundry

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

Level: Beginner

Subjects: Artificial Intelligence

Duration: 58 minutes

Use generative AI in Azure Database for PostgreSQL.

Units in this learning path:

• Introduction
• Understand Generative AI Language Models
• Describe Azure AI Extension
• Explore Azure Openai Schema
• Review Azure Cognitive Schema
• Explore Semantic Operators
• Examine Azure Machine Learning Schema
• Exercise Explore Azure AI Extension
• Knowledge Check
• Summary

Products: Azure Database Postgresql

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence, Databases

Duration: 57 minutes

Design a machine learning model training solution with Azure Machine Learning.

Units in this learning path:

• Introduction
• Identify Tasks
• Prepare Data
• Choose Service Train
• Use Automated Machine Learning
• Decide Between Compute Options
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: Data Scientist, AI Engineer

Level: Beginner

Subjects: Artificial Intelligence, Machine Learning

Duration: 31 minutes

Learn how to use Azure Speech in Foundry Tools to recognize and synthesize speech.

Units in this learning path:

• Introduction
• Speech Recognition
• Speech Synthesis
• Voice Live
• Exercise
• Knowledge Check
• Summary

Products: Foundry Tools, Microsoft Foundry

Roles: AI Engineer, Student

Level: Beginner

Subjects: Artificial Intelligence, Natural Language Processing

Duration: 47 minutes

Get started with text analysis in Azure

Units in this learning path:

• Introduction
• Azure Language
• Language Sdk
• Language Mcp
• Exercise
• Knowledge Check
• Summary

Products: Foundry Tools, Microsoft Foundry

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

Level: Beginner

Subjects: Natural Language Processing

Duration: 45 minutes

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…