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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…

Determine the scenarios for which actions for declarative agents with API plugins are suitable. Describe the function of API plugins.

Units in this learning path:

• Introduction
• What Are API Plugins Declarative Agents
• How API Plugins Work
• When to Use API Plugins
• Knowledge Check
• Summary

Products: M365, Ms Copilot

Roles: Developer, Solution Architect, Functional Consultant, Business Analyst

Level: Beginner

Subjects: Artificial Intelligence, Knowledge Management, Productivity, Data Integration, Data Management, Custom App Development

Duration: 10 minutes

Learn how to align AI solutions with business goals, scale AI adoption, and use Microsoft AI technologies for enterprise success.

Units in this learning path:

• Introduction
• Architect Role AI Transformation Businesses
• Microsoft AI Technologies Overview
• Microsoft AI Technologies Business Solutions
• Identify Out of Box Microsoft AI Agent Resources
• Identify Out of Box Microsoft AI Agents
• Knowledge Check
• Summary

Products: Microsoft 365 Copilot, Microsoft 365 Copilot Chat, Power Platform, Microsoft Copilot Studio, Dynamics 365

Roles: Solution Architect

Level: Advanced

Subjects: Generative AI, Data Analytics, Data Management, Data Engineering, Data Integration

Duration: 24 minutes

Describe the agentic DevOps model for Microsoft DevOps Engineers, identify high-value opportunities in daily DevOps work, and define safe operating boundaries for agentic actions on Azure.

Units in this learning path:

• Introduction
• Define Agentic Devops Microsoft Environments
• Map Devops Work Agentic Opportunities
• Set Autonomy Boundaries Human Control
• Exercise Classify Devops Backlog
• Knowledge Check
• Summary

Products: Azure, Azure Devops, Github

Roles: Devops Engineer

Level: Advanced

Subjects: Devops, Artificial Intelligence

Duration: 52 minutes

Gain the foundational knowledge about the principles of artificial intelligence (AI) and how it's used in educational settings.

Modules in this learning path:

• A Guide to Artifical Intelligence
• Introduction to AI for Trainers
• Exploring Artificial Intelligence in Action
• AI Powered Tools for Teaching

Products: Foundry Tools, Azure Machine Learning, Azure Machine Learning Designer, M365 Apps

Roles: K 12 Educator, Higher Ed Educator, Business User, Data Engineer, School Leader

Level: Beginner

Subjects: Artificial Intelligence

Duration: 156 minutes

Introduction to computer vision concepts

Units in this learning path:

• Introduction
• Overview
• Understand Image Processing
• Computer Vision Models
• Modern Vision Models
• Generate Images
• Exercise
• Knowledge Check
• Summary

Products: Microsoft Foundry

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

Level: Beginner

Subjects: Artificial Intelligence

Duration: 34 minutes

Explore what AI agents are, understand their core components, and discover a range of impactful use cases driving AI-powered transformation.

Units in this learning path:

• Introduction
• AI Transformation Agents
• AI Agent Use Cases
• AI Agent Components
• Knowledge Check
• Summary

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

Roles: Developer, Maker

Level: Beginner

Subjects: Generative AI

Duration: 18 minutes

By understanding the basics of generative AI models, you empower yourself to make responsible decisions when using these models. This knowledge allows you to critically evaluate outputs, assess their reliability, and understand potential limitations leading to more informed and effective interactions with generative AI.

Units in this learning path:

• Introduction
• What Is Generative AI
• What Are Large Language Models
• Create Training Content Using Microsoft Copilot
• Apply Generative AI to Enhance Your Training Experience
• Apply Critical Thinking When Using Generative AI
• Knowledge Check
• Summary

Products: Foundry Tools, Azure Machine Learning, Azure Machine Learning Designer, M365 Apps, Azure Translator Text, Azure Translator Speech, Ms Copilot, Language Service

Roles: K 12 Educator, Business User, Higher Ed Educator, Data Engineer, School Leader

Level: Beginner

Subjects: Artificial Intelligence

Duration: 22 minutes

Ever wondered how AI can create content, answer questions, and assist with tasks? This module introduces you to the world of generative AI and agents.

Units in this learning path:

• Introduction
• Language Models
• Writing Prompts
• Agents
• Exercise AI Agent
• Knowledge Check
• Summary

Products: Microsoft Foundry

Roles: AI Engineer, Developer, Solution Architect, Student

Level: Beginner

Subjects: Artificial Intelligence

Duration: 37 minutes

Discover the world of generative AI, including basic concepts, the different applications in various fields, and the skills necessary to use generative AI tools within training environments. Gain knowledge of large language models (LLMs), AI-powered image generators, and Microsoft Copilot. Explore prompt engineering, navigate the limitations of content created by generative AI models, and learn to utilize generative AI models into your trainings critically and responsibly.

Modules in this learning path:

• Intro Generative AI Explore Basics
• Create Prompts for Generative AI Training Tools
• Create Images with Generative AI
• Use Copilot to Create Training Materials

Products: Foundry Tools, Azure Machine Learning, Azure Machine Learning Designer, M365 Apps, Azure Translator Text, Azure Translator Speech, Ms Copilot, Language Service

Roles: K 12 Educator, Business User, Higher Ed Educator, Data Engineer, School Leader

Level: Beginner

Subjects: Artificial Intelligence

Duration: 156 minutes

Learn about core concepts of augmented reality, virtual reality, and mixed reality. Learn about HoloLens and Windows mixed reality immersive headsets.

Units in this learning path:

• 1 Introduction
• 2 What
• 3 Make Sense
• 4 Explore Devices
• 5 Understand Holograms
• 6 Design 3d
• 7 Use Cases Examples
• 8 Cloud Services
• 9 Knowledge Check
• 10 Summary

Products: Azure, Azure Cloud Services, Foundry Tools, Dynamics 365, Dynamics Guides, Dynamics Remote Assist, Windows, Windows Mixed Reality, Mrtk, Hololens

Roles: Developer, Business Owner, Student, Technology Manager

Level: Beginner

Subjects: Mixed Reality

Duration: 41 minutes