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Building a Generative AI-Ready Organization is the last course in a three-part series of Generative AI Essentials for Business and Technical Decision Makers. If you have not done so already, we recommend you start with the first course in the…

This course provides components needed for successful organizational adoption of machine learning (ML). Course level: Fundamental. Duration: 30 minutes. This course includes presentations, videos, and knowledge assessments.

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 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…

Explore development options for extending Microsoft 365 Copilot with custom data, logic, and actions. Determine the best approach for your scenario.

Units in this learning path:

• Introduction
• Identify Extensibility Options
• Analyze Decision Criteria
• Extend Copilot Knowledge Copilot Connectors
• Build Declarative Agents Copilot Studio
• Build Declarative Agents Visual Studio Code
• Deploy Custom Agents Copilot
• Knowledge Check
• Summary

Products: Azure, Microsoft 365 Copilot, Microsoft 365 Copilot Chat, Microsoft Copilot Studio

Roles: Developer, Maker

Level: Beginner

Subjects: Generative AI

Duration: 29 minutes

This course provides a high-level explanation of human resource strategies in digital transformations. You will explore why people are the key to your success and how to implement talent development strategies and build high-performing teams in a…

This credential earner has the technical knowledge and practical skills to use IBM Granite models for code generation and programming tasks, and to optimize AI-generated code. The individual can identify the features of IBM Granite models and describe how they assist with programming tasks. The earner can apply prompting techniques to optimize AI-generated code and implement a structured workflow for reviewing and optimizing AI-generated code.

You learn how to compose emails, handle attachments, and organize your inbox in the Outlook, highlighting the differences from the classic version. Learn how to search email threads and conversations more efficiently, work with shared mailboxes, and manage your emails offline.

Units in this learning path:

• Introduction
• Compose Email
• Schedule Send Delay Email
• Advanced Mail Concepts
• Knowledge Check
• Summary

Products: Microsoft 365 Copilot, Ms Copilot, Office, Office 365, Office Outlook

Roles: Business User

Level: Beginner

Subjects: Artificial Intelligence, Productivity

Duration: 28 minutes

In this course, you learn about confidential computing capabilities and how it can help you protect data while it is being processed. You are introduced to the Nitro System and how it provides isolation and security, Nitro Enclaves which provides…

Get step-by-step instructions on how to place Prefab 3D assets and models into a Unity scene. Learn about Unity Scriptable Objects and mixed reality design considerations before deploying to a HoloLens 2.

Units in this learning path:

• Introduction
• Design Considerations
• Unity Prefabs
• Mixed Reality Toolkit Interactions Scriptable
• Exercise Wind Turbine
• Exercise Deploy
• Knowledge Check
• Summary

Products: Azure, Azure Cloud Services, Foundry Tools, Azure Digital Twins, Azure Iot, Azure Iot Hub, Azure Signalr Service, Azure Functions, Hololens, Windows, Windows Mixed Reality

Roles: Developer, Business Owner, Student, Technology Manager

Level: Beginner

Subjects: Mixed Reality

Duration: 41 minutes

Microsoft Foundry uses a hub-and-project architecture to centralize governance, security, and shared resources while enabling team autonomy. Hub-level connections, identities, and policies reduce cost, complexity, and duplication, supporting scalable, secure, enterprise-ready AI deployments.

Units in this learning path:

• Introduction
• Understand Microsoft Foundry Architecture Components
• Configure Hubs Organize Projects
• Implement Hub Level Shared Connections Azure
• Exercise Provision Microsoft Foundry Infrastructure
• Knowledge Check
• Summary

Products: Azure, Microsoft Foundry

Roles: Administrator

Level: Intermediate

Subjects: Artificial Intelligence, Infrastructure

Duration: 56 minutes