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The Introduction to AWS Cloud – AWS Builder Labs learning plan provides an overview to AWS services through 10 hands-on lab exercises, covering essential AWS services across compute, networking, databases, storage, content delivery, serverless…

In this video, you will learn about machine learning inference processing challenges and use cases, and get an understanding of the AWS solution to help solve the challenges using Amazon EC2 Inf1 instances powered by AWS Inferentia. You'll get an…

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 SageMaker is a fully managed service that data scientists and developers use to quickly build, train, and deploy machine learning models. In this introductory course, you are given an overview of Amazon SageMaker, focused on the service's…

The Introduction to Generative AI - Art of the Possible course provides an introduction to generative AI, use cases, risks and benefits. With the help of a content generation example, we illustrate the art of the possible.

Understand how Graph connectors can be used to extend Microsoft 365.

Units in this learning path:

• Introduction
• Add Connection
• Configure Connection Settings
• Set Search Schema Attributes
• Set Refresh Interval
• Deploy Monitor Connector
• Knowledge Check
• Summary

Products: M365, Office 365

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

Level: Beginner

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

Duration: 34 minutes

This digital course is designed to help business decision makers understand the fundamentals of machine learning (ML). Course level: Fundamental. Duration: 30 minutes. This course includes presentations, videos, and knowledge assessments.

Explore Microsoft AI agent solutions and gain clarity on when to adopt, extend, or develop custom agent solutions based on your scenario and objectives.

Units in this learning path:

• Introduction
• AI Agent Solutions Microsoft
• Microsoft 365 Copilot Copilot Chat
• Customize Extend Microsoft 365 Copilot
• Build Custom AI Agents Applications
• Choose Your Agent Solution
• Knowledge Check
• Summary

Products: Azure, Microsoft 365 Copilot, Microsoft 365 Copilot Chat, Microsoft Copilot Studio

Roles: Developer, Maker

Level: Beginner

Subjects: Generative AI

Duration: 27 minutes

Discover how to use Microsoft Search, the different types of results available, and get an introduction to the Search & intelligence settings.

Units in this learning path:

• Introduction
• Search Experiences
• Results Answers
• Intelligence Settings
• Knowledge Check
• Summary

Products: M365, Office, Windows, Bing

Roles: Administrator, Business Owner, Functional Consultant, Technology Manager

Level: Beginner

Subjects: Artificial Intelligence, Cloud Computing

Duration: 19 minutes

This module provides an overview of Microsoft's responsible AI principles, guidelines, and standards.

Units in this learning path:

• Introduction
• Discover Microsofts Responsible AI Principles
• Use Guidelines for Human AI Interaction
• Follow the Responsible AI Standard Playbook
• Knowledge Check
• Summary

Products: Foundry Tools, 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: 24 minutes

If you are new to AI and ready to give it a try, look no further! Introduction to Modern AI is a beginner-friendly course designed to help you learn key AI concepts and get hands-on practice with AI-enabled apps. You will start with an overview of AI. Then you'll explore computer vision using a photo app and machine translation with an online translation tool. Finally, take a deep-dive into chatbots–full of tips for writing better prompts and hands-on practice with 10+ popular chatbots and AI tools, including ChatGPT, Meta AI, Gemini, Google Translate, Claude, Hugging Chat, NotebookLM and more.