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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: Azure AI 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
• Exercise
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: Data Scientist, AI Engineer

Level: Beginner

Subjects: Artificial Intelligence, Machine Learning

Duration: 66 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: AI Services, Azure AI 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: AI Services, Azure AI Foundry

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

Level: Beginner

Subjects: Natural Language Processing

Duration: 43 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…

Amazon Comprehend is a natural-language processing (NLP) service that you can use to extract valuable insights and connections from text. In this Getting Started course you will learn about the benefits, features, typical use cases, technical…

Using Amazon Detective, you can quickly analyze, investigate, and identify the root cause of potential security issues or suspicious activities. Detective automatically collects log data from your Amazon Web Services (AWS) resources. The service…

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents and goes beyond optical character recognition (OCR) to identify, understand, and extract data from forms and tables.…

This credential earner demonstrates a foundational understanding of Artificial Intelligence concepts and processes, including common applications of AI, and generative AI. The individual has worked with generative AI tools to refine and create prompts.

This course will provide steps and procedures to follow on how to manipulate and interact with 3D objects.

Units in this learning path:

• 5 1 Introduction
• 5 2 Panel of Buttons Dynamic Menus
• 5 3 Exercise Panel of Buttons Menus
• 5 4 Provide Description to Objects Using Text on Scene Tooltips
• 5 5 Exercise Provide Description to Objects Using Text on Scene Tooltips
• 5 6 Manipulate 3d Objects with Bounds Control
• 5 7 Exercise Manipulate 3d Objects with Bounds Control
• 5 8 Knowledge Check
• 5 9 Summary

Products: Windows, Windows Mixed Reality, Mrtk, Hololens, Azure, Mrtk

Roles: Developer

Level: Beginner

Subjects: Mixed Reality

Duration: 54 minutes