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This course introduces you to foundational concepts to help you understand how Amazon Redshift can help advance your goal. With Amazon Redshift users can efficiently analyze large volumes of structured and semi-structured data using standard SQL.…

With Amazon Rekognition, you can analyze images and videos to detect and recognize objects, people, text, activities, and more. In this course, you will learn the benefits and technical concepts of Amazon Rekognition. If you are new to the…

In this course, you will learn the benefits and technical concepts of Amazon SageMaker AI. If you are new to the service, you will learn how to start using Amazon SageMaker AI through a demonstration using the AWS Management Console. You will use…

Amazon SageMaker JumpStart is a machine learning (ML) hub with foundation models, built-in algorithms, and prebuilt ML solutions. In this foundations course, you will learn how to discover foundation models that meet your requirements and deploy…

This Playlist is an unordered collection of supplemental labs that have relevance to the classroom training Amazon SageMaker Studio for Data Scientists. Students of that class may find the labs in this playlist to be useful hands-on practice.

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 Transcribe is a fully managed artificial intelligence (AI) service that helps you convert speech to text using automatic speech recognition (ASR) technology. In this Getting Started course, you will learn about the benefits, features,…

In today's fast-paced digital era, artificial intelligence (AI) is changing the way we train and educate. This learning path is designed to equip you with an understanding of how AI tools can transform a learning environment. Throughout this learning path, you'll explore how AI can elevate the training experience, build engaging content, and foster a more inclusive training environment. You'll also explore the advantages of integrating AI-powered productivity tools into your daily educational practices. By the end of this learning path, you'll be equipped to design and implement training ecosystems that apply AI tools to enhance the training process.

Modules in this learning path:

• Implement AI Tools Into Training Environment
• Streamline Training Plans with AI Tools
• Use AI Tools to Create Inclusive Learning Environment
• Training with AI Tools

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: 173 minutes

Learn how to implement tracing in your generative AI applications using Microsoft Foundry and OpenTelemetry. This module teaches you to capture detailed execution flows, debug complex workflows, and understand application behavior for better reliability and optimization.

Units in this learning path:

• Introduction
• Why Tracing
• What to Trace
• How to Trace
• Advanced Tracing
• Analyze Trace Data
• Exercise
• Knowledge Check
• Summary

Products: Azure, AI Services

Roles: AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence, App Development

Duration: 65 minutes

Learn how to use Microsoft 365 Copilot to analyze and visualize your data.

Units in this learning path:

• Introduction
• Analyze Data Workflows Excel
• Generate Insights Analyst Agent
• Knowledge Check
• Summary

Products: M365, Office 365

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

Level: Beginner

Subjects: Artificial Intelligence, Business Applications

Duration: 46 minutes

Analyze images

Units in this learning path:

• Introduction
• Provision Computer Vision Resource
• Analyze Image
• Exercise Computer Vision
• Knowledge Check
• Summary

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

Roles: AI Engineer, Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 44 minutes

Analyze text with Azure Language

Units in this learning path:

• Introduction
• Provision Resource
• Detect Language
• Extract Key Phrases
• Analyze Sentiment
• Extract Entitites
• Extract Linked Entitites
• Exercise
• Knowledge Check
• Summary

Products: AI Services, Azure AI Foundry

Roles: AI Engineer, Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 54 minutes