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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: Microsoft Foundry

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

Level: Beginner

Subjects: Artificial Intelligence

Duration: 30 minutes

In this module, we explore different neural network architectures for processing natural language texts.

Units in this learning path:

• Introduction
• Representing Text
• Embeddings
• Recurrent Networks
• Generative Networks
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: Data Scientist, Developer, Student

Level: Beginner

Subjects: Natural Language Processing

Duration: 63 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…

A Learning Plan pulls together training content for a particular role or solution, and organizes those assets from foundational to advanced. Use Learning Plans as a starting point to discover training that matters to you. This Learning Plan is…

A Learning Plan pulls together training content for a particular role or solution, and organizes those assets from foundational to advanced. Use Learning Plans as a starting point to discover training that matters to you. This learning plan is…

A Learning Plan pulls together training content for a particular role or solution, and organizes those assets from foundational to advanced. Use Learning Plans as a starting point to discover training that matters to you. This learning plan is…

This credential earner demonstrates knowledge of machine learning foundational concepts such as the roles of math and statistics, Python and its libraries, and machine learning algorithms. The individual has conceptual understanding of machine applications and can differentiate between supervised, unsupervised, and reinforcement learning.

This course introduces you to basic machine learning concepts and the machine process the data goes through. We explore each step in the machine learning process in detail and explain some of the common terms and techniques that occur during a…