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This learning plan is designed to introduce data scientists and machine learning engineers to the options available to build, fine-tune and deploy small to large language models (LLM) using Amazon SageMaker. Amazon SageMaker brings together a…

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…

Learn how Copilot Cowork lets you delegate multi-step work across your apps. Describe a goal, review the plan, approve actions, and review the results — while you stay in control.

Units in this learning path:

• Introduction
• Choose Right AI Tool
• Understand Cowork Usage
• How Cowork Works
• Write Effective Cowork Requests
• See Cowork Action
• Guardrails Limitations Responsible Use
• Exercise Cowork Intro
• Knowledge Check
• Summary

Products: Ms Copilot, M365, M365 Apps

Roles: Business User, Business Owner

Level: Beginner

Subjects: Artificial Intelligence, Productivity

Duration: 67 minutes

Explore how Microsoft Copilot grounds responses in your organizational data and the web, discover how agents extend Copilot's capabilities, understand how your data stays protected, and learn a four-element prompting framework to get accurate, useful results.

Units in this learning path:

• Introduction
• Copilot Across Microsoft 365 Apps
• Data Security Copilot
• Write Prompts That Get Results
• Knowledge Check
• Summary

Products: M365, Office 365

Roles: Administrator, Business User, Functional Consultant, Solution Architect, Technology Manager

Level: Intermediate

Subjects: Artificial Intelligence, Business Applications, Compliance, Productivity, Security

Duration: 22 minutes

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: Microsoft Foundry, 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
• Get Started Foundry Iq

Products: Microsoft Foundry

Roles: AI Engineer, Developer

Level: Beginner

Subjects: Artificial Intelligence

Duration: 337 minutes