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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…

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

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…

Learn how to set up policies and permissions to govern and secure agents.

Units in this learning path:

• Introduction
• Govern Agents Scenarios
• Exercise Agent Settings
• Security Governance Policies
• Exercise Set Up Policy Template
• Exercise Set Up Permissions
• Exercise Set Up Policies
• Exercise Deploy Agents
• Exercise Assign Owners Agents
• Exercise Block Agent
• Exercise Use Rules
• Manage Tools
• Exercise Manage Tools
• Exercise View Audit Logs
• Check
• Summary

Products: M365, Agent 365

Roles: Administrator

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 86 minutes

Govern the enterprise agent lifecycle in Microsoft Foundry. Design agent versioning strategies and approval workflows, implement usage quotas and cost allocation models, establish change management processes for behavioral updates, and design agent retirement workflows that minimize business disruption.

Units in this learning path:

• Introduction
• Design Agent Version Approval Workflows
• Implement Usage Quotas Rate Limiting
• Design Cost Allocation Chargeback Models
• Establish Agent Retirement Deprecation Processes
• Knowledge Check
• Summary

Products: Azure, Microsoft Foundry

Roles: AI Engineer, Solution Architect, Devops Engineer

Level: Advanced

Subjects: Artificial Intelligence, Devops

Duration: 41 minutes

Choose and add enterprise knowledge sources for an agent powered by the GitHub Copilot harness, then verify that its answers use the intended information.

Units in this learning path:

• Introduction
• Compare Available Knowledge Sources
• Add Knowledge Source
• Validate Grounded Answers Refine Source Selection
• Plan Evaluations Grounded Answers
• Knowledge Check
• Summary

Products: Microsoft Copilot Studio

Roles: Developer, Maker

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 38 minutes