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This course explains the foundational concepts and terminology of generative AI and how to drive business value with generative AI. You are introduced to AWS generative AI services and strategies to choose services that are best suited for your…

This credential earner has applied technical knowledge of principles of generative AI, prompt engineering techniques, and Python libraries. The individual has demonstrated general knowledge of the methods, applications, and ethical considerations of using GenAI models. The earner has practiced essential workplace skills and explored generative AI career pathways.

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…

Amazon Q in QuickSight introduces a new suite of business intelligence (BI) capabilities by using the large language models (LLMs) of Amazon Bedrock and combining them with the capabilities of Amazon QuickSight. In this course, you will learn…

This self-paced module helps you build an AI model from the beginning and shows how you can use it in your business without writing a single line of code.

Units in this learning path:

• 1 Intro AI Builder
• 2 Choose AI Capability
• 3 Create First Model
• 4 Ways to Use Models
• 5 Check
• 6 Summary

Products: AI Builder, Power Platform, Power Automate

Roles: Business User, Maker

Level: Beginner

Subjects: Artificial Intelligence, Business Applications

Duration: 30 minutes

Explore AI Builder entity extraction, its application in business scenarios, and use in Power Automate.

Units in this learning path:

• Introduction
• Solve Business Problems
• Exercise
• Check
• Summary

Products: Power Apps

Roles: Maker, Functional Consultant

Level: Beginner

Subjects: Artificial Intelligence

Duration: 20 minutes

AI agents represent the next generation of intelligent applications. Learn how they can be developed and used on Microsoft Azure.

Units in this learning path:

• Introduction
• What Are AI Agents
• Agent Development
• Azure AI Agent Service
• Exercise
• Knowledge Check
• Summary

Products: Azure AI Foundry, Azure AI Foundry Agent Service

Roles: AI Engineer, Data Scientist

Level: Beginner

Subjects: Artificial Intelligence

Duration: 49 minutes

Learn how to get started with AI workloads and solutions in Microsoft Foundry.

Modules in this learning path:

• Get Started with AI in Azure
• Get Started with Generative AI and Agents
• Get Started with Text Analysis in Azure
• Get Started with Speech in Azure
• Get Started with Computer Vision in Azure
• Get Started Information Extraction

Products: Microsoft Foundry

Roles: AI Engineer, Developer

Level: Beginner

Subjects: Artificial Intelligence

Duration: 299 minutes

Learn how to use Azure Content Understanding in Foundry Tools to extract information from content.

Units in this learning path:

• Introduction
• Documents
• Audio Video
• Exercise
• Knowledge Check
• Summary

Products: AI Services, Azure Cognitive Search, Azure AI Foundry

Roles: AI Engineer

Level: Beginner

Subjects: Artificial Intelligence

Duration: 45 minutes

This module introduces Microsoft 365 Copilot Chat as a secure, AI-powered assistant that boosts productivity by leveraging web-based insights, while guiding you on how to access it, navigate the interface, and start using it effectively.

Units in this learning path:

• Introduction
• Understand Microsoft 365 Copilot Chat
• Access Microsoft 365 Copilot Chat
• Utilize Microsoft 365 Copilot Chat
• Keep Your Data Safe While Use Copilot Chat
• Knowledge Check
• Summary

Products: Ms Copilot

Roles: Business User

Level: Beginner

Subjects: Artificial Intelligence

Duration: 24 minutes

In this module, you're introduced to key concepts to build a basic Microsoft Copilot Studio agent.

Units in this learning path:

• 1 Introduction
• 2 Get Started
• 3 Create Bots
• Create Agents
• 4 Topics
• Generative AI
• 5 Test Bots
• 6 Performance Analysis
• Exercise Copilot Studio
• 7 Check
• 8 Summary

Products: Ms Copilot

Roles: Maker

Level: Beginner

Subjects: Chatbots

Duration: 75 minutes