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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: Azure AI 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: AI Services, 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: Azure AI 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: AI Services, 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, AI Services, 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

Natural language processing (NLP) supports applications that can analyze text to infer semantic meaning.

Units in this learning path:

• Introduction
• How It Works
• Statistical Techniques
• Semantic Models
• Exercise
• Knowledge Check
• Summary

Products: Azure AI Foundry

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

Level: Beginner

Subjects: Artificial Intelligence

Duration: 30 minutes

This module provides an introduction to project FarmVibes.AI, a comprehensive tool for enhancing agricultural practices and decision-making in farming. Explore the fundamental components of FarmVibes.AI, including soil analysis capabilities, crop health monitoring systems, and advanced data analytics. Learn how FarmVibes.AI addresses agricultural challenges and integrates these components to assist in sustainable farming and environmental conservation.

Units in this learning path:

• Introduction
• What Farmvibes AI
• How Farmvibes AI Works
• When Use Farmvibes AI
• Knowledge Check
• Summary

Products: Azure Kubernetes Service

Roles: Data Engineer

Level: Beginner

Subjects: Machine Learning

Duration: 16 minutes

This course provides the user with a basic understanding of all the foundational elements of MRTK.

Units in this learning path:

• 1 1 Introduction
• 1 3 Exercise Configure Unity for Windows Mixed Reality
• 1 4 Configure Resources
• 1 5 Exercise Configure Resources
• 1 6 Interaction Models
• 1 7 Exercise Hand Interaction with Objectmanipulator
• 1 8 Knowledge Check
• 1 9 Summary

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

Roles: Developer

Level: Beginner

Subjects: Mixed Reality

Duration: 49 minutes

Learn how to use AI tools and resources for your business.

Units in this learning path:

• 1 Introduction
• 2 Identify Basic AI Technology Concepts
• 3 Understand Foundations AI
• 4 Learn Microsoft AI Approach
• 5 Explore Copilot Agents at Work
• 6 Drive Transformation Azure Platforms
• 7 Secure AI Foundation
• 8 Knowledge Check
• 9 Summary

Products: Azure, Microsoft 365 Copilot

Roles: Business Leader

Level: Beginner

Subjects: Artificial Intelligence

Duration: 42 minutes

In this three-course curriculum, you will learn about best practices and recommendations for machine learning (ML). The course explores how to roadmap for integrating ML into your business processes, explores requirements to determine if ML is the…

Throughout this curriculum we'll explore the AWS machine learning services that enable everything from building, training, and deploying models at scale, to deep learning. We'll hear from some of Amazon's own machine learning scientists about how…