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This training solution is for Public Sector users of AWS Artificial Intelligence and Machine Learning services, and covers AWS Cloud concepts, AWS ML fundamentals, data science on AWS, and ML engineering on AWS.

Generative Artificial Intelligence (GenAI) uses Foundational Models (FMs) to create new content and ideas, such as conversations, stories, images, videos, and music. Generative AI has the potential to transform how organizations across the Public…

Defining problems likely to be suited for quantum computers, and programming quantum computers to solve them requires a new set of skills. To help you gain these skills, AWS recommends the following Learning Path to help Public Sector employees…

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…

Azure's Vision service uses advanced algorithms to process images and return information based on the visual features you're interested in. This module teaches you how to use the Azure Vision Image Analysis OCR feature.

Units in this learning path:

• Introduction
• Options for Reading Text
• Using Read API
• Exercise
• Knowledge Check
• Summary

Products: AI Services, Azure Computer Vision, Azure AI Foundry

Roles: AI Engineer, Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 45 minutes

Learn how to register an Mlflow model in Azure Machine Learning.

Units in this learning path:

• Introduction
• Log Mlflow Model
• Understand Mlflow Model Format
• Register Model
• Exercise Register Mlflow Model
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 40 minutes

In this course, you will learn about responsible AI practices. First, you will be introduced to what responsible AI is. You will learn how to define responsible AI, understand the challenges that responsible AI attempt to overcome and explore the…

In this learning path, you'll embark on an insightful exploration of Microsoft’s Responsible AI framework, learning how to apply ethical principles to the development and use of AI technologies. You start by learning the frameworks that shape Microsoft’s approach to responsible AI, focusing on the commitment to the six responsible AI principles. As you progress, you discover practical ways to integrate these principles into educational environments, ensuring that AI tools not only enhance learning experiences but also uphold values of fairness and privacy. The learning path concludes with hands-on exercises, translating theoretical knowledge into real-world practice. This learning path equips you with the necessary skills to implement responsible AI systems responsibly in any learning environment.

Modules in this learning path:

• Introduction to Microsofts Responsible AI Approach
• Apply Responsible AI Principles
• Embrace Responsible AI

Products: AI Services, 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: 162 minutes

Run a command job with the Azure Machine Learning Python SDK v2.

Units in this learning path:

• Introduction
• Convert Notebook Script
• Run Script Command Job
• Use Parameters Command Job
• Exercise Run Training Script Command Job
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 37 minutes

Learn how to create and use components to build pipeline in Azure Machine Learning. Run and schedule Azure Machine Learning pipelines to automate machine learning workflows.

Units in this learning path:

• Introduction
• Create Components
• Create Pipeline
• Run Pipeline Job
• Exercise Run Pipeline Job
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 40 minutes

Learn enterprise AI management with our free open online course, including scaling AI.

Units in this learning path:

• Introduction
• Unlock AI Value
• Organize AI Success
• Empower Business Users AI
• Empower Subject Matter Experts AI
• Knowledge Check
• Summary

Products: Azure, M365

Roles: Business Leader, Business Owner

Level: Beginner

Subjects: Artificial Intelligence

Duration: 23 minutes