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Learn about large language models, their core concepts, the models that are available to use, and when to use them.

Units in this learning path:

• Introduction
• Concept Understand Llms
• Llms Core Concepts
• When to Use Llms
• Which Model to Use
• Knowledge Check
• Summary

Products: Azure

Roles: Developer

Level: Beginner

Duration: 25 minutes

Machine learning is the basis for most modern artificial intelligence solutions. A familiarity with the core concepts on which machine learning is based is an important foundation for understanding AI.

Units in this learning path:

• Introduction
• What Is Machine Learning
• Types of Machine Learning
• Regression
• Binary Classification
• Multiclass Classification
• Clustering
• Deep Learning
• Exercise
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: AI Engineer, Data Scientist

Level: Beginner

Duration: 93 minutes

Introduction to machine learning operations (MLOps)

Modules in this learning path:

• Introduction Development Operations Principles for Machine Learn
• Source Control for Machine Learning Projects
• Automate Machine Learning Workflows
• Continuous Deployment for Machine Learning

Products: Azure Devops, Azure Machine Learning, Github

Roles: Data Scientist

Level: Beginner

Duration: 118 minutes

Learn about manufacturing in Dynamics 365 Business Central.

Units in this learning path:

• Introduction
• Manufacturing
• Business Central Manufacturing
• Assembly Management
• Configure Data
• Check
• Summary

Products: Dynamics 365, Dynamics Business Central

Roles: Business User, Functional Consultant

Level: Intermediate

Subjects: Finance Accounting

Duration: 37 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

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

Learn about Dynamics 365 Contact Center.

Modules in this learning path:

• Explore Dynamics 365 Contact Center
• Describe Work Allocation Capabilities
• Describe Dynamics 365 Contact Center Representative Experience
• Describe Dynamics 365 Contact Center Supervisor Experience

Products: Dynamics Contact Center

Roles: Business User

Level: Beginner

Subjects: Resource Management, Knowledge Management, Productivity, Customer Relationship Management

Duration: 73 minutes

Module on the use of Azure Cosmos DB as part of a migration solution.

Units in this learning path:

• Introduction
• Cosmos Db Overview
• Cosmos Db Apis
• Considerations Migrating Nosql Cosmos Db
• Provisioning Cosmos Db Throughput
• Cosmos Db Partitioning Best Practices
• Knowlege Check
• Summary

Products: Azure, Azure Cosmos Db

Roles: Data Engineer

Level: Intermediate

Subjects: Databases

Duration: 40 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 module highlights the basic core principles of prompt engineering and explains the best practices to create prompts quickly and effectively in GitHub Copilot. Learn the strategies that transform comments into precise code, identify the steps within GitHub Copilot's prompt processing flow, and gain an understanding of the important role that Large Language Models (LLMs) play in enhancing suggestion quality. Discover advanced techniques like role prompting and chat history management to accelerate development workflows and optimize resource usage.

Units in this learning path:

• Introduction
• Prompt Engineering Foundations Best Practices
• Github Copilot User Prompt Process Flow
• Github Copilot Data
• Github Copilot Large Language Models
• Knowledge Check
• Summary

Products: Github

Roles: Developer, Devops Engineer, Student

Level: Beginner

Subjects: Collaboration, Productivity, Artificial Intelligence

Duration: 30 minutes

Get started with quantum computing and the Azure Quantum service.

Units in this learning path:

• Introduction
• What Is Quantum Computing
• What Is Azure Quantum
• Applications
• Knowledge Check
• Summary

Products: Azure Quantum

Roles: Developer

Level: Beginner

Subjects: Cloud Computing

Duration: 29 minutes