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Machine learning is the foundation for predictive modeling and artificial intelligence. Learn some of the core principles of machine learning and how to use common tools and frameworks to train, evaluate, and use machine learning models.

Modules in this learning path:

• Fundamentals Machine Learning
• Explore Analyze Data with Python
• Train Evaluate Regression Models
• Train Evaluate Classification Models
• Train Evaluate Cluster Models
• Train Evaluate Deep Learn Models

Products: Azure Machine Learning

Roles: AI Engineer, Data Scientist, Developer, Student

Level: Intermediate

Subjects: Machine Learning

Duration: 379 minutes

This course provides an explanation of how to create a workflow to automate the generation of captions, alternate language subtitles, and alternate language audio tracks using Amazon's AI Services: Amazon Transcribe, Amazon Translate, and Amazon…

Learn how to create your first agent in Microsoft Copilot Studio.

Units in this learning path:

• Introduction
• Try Conversation
• Create Topic
• Publish Demo
• Check
• Summary

Products: Ms Copilot

Roles: Maker, Functional Consultant

Level: Beginner

Subjects: Chatbots

Duration: 26 minutes

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…

In this course, you learn about customizing and evaluating large language models (LLMs) using Amazon SageMaker JumpStart. Amazon SageMaker JumpStart is a machine learning (ML) hub with foundation models, built-in algorithms, and prebuilt ML…

This course provides a high-level explanation of data strategy. You will explore what data strategy is and how it aligns with overall business objectives. You will learn how to create a data-driven culture and better understand transformative…

Debug and respond to production incidents in multi-agent AI solutions in Azure. Implement agent replay capabilities that reproduce complex multi-agent failures, apply structured root cause analysis procedures for multi-agent incident diagnosis, configure automated detection and remediation for common agent failure patterns, and establish incident response and post-mortem processes adapted to the characteristics of AI agent system failures.

Units in this learning path:

• Introduction
• Implement Agent Replay Production Debug
• Design Root Cause Analysis Agent Failures
• Configure Automated Detection Remediation
• Establish Incident Response Postmortem Processes
• Knowledge Check
• Summary

Products: Azure, Microsoft Foundry, Azure Monitor

Roles: AI Engineer, Devops Engineer, Solution Architect

Level: Advanced

Subjects: Artificial Intelligence, Devops

Duration: 40 minutes

This Playlist is an unordered collection of supplemental labs that have relevance to the classroom training Deep Learning on AWS. Students of that class may find the labs in this playlist to be useful hands-on practice.

Discover AI use cases and scenarios for manufacturing. Get familiar with Microsoft AI tools and services for manufacturing. Learn from real success stories.

Units in this learning path:

• Introduction
• 1b AI Manufacturing
• Goals Challenges Manufacturing
• Opportunities AI Manufacturing
• Microsoft AI Use Cases
• Discover AI Cuts Development Time
• Knowledge Check
• Summary

Products: Azure Openai, Industry Solutions, Mscloud Manufacturing

Roles: Business Owner, Business User

Level: Beginner

Subjects: Artificial Intelligence, Data Management

Duration: 33 minutes

Discover AI use cases and scenarios for nonprofit organizations. Get familiar with Microsoft AI tools and services for nonprofit. Learn from real success stories.

Units in this learning path:

• Introduction
• AI Nonprofits
• Explore AI Helps Nonprofits Achieve Mission Impact
• Explore Opportunities AI Nonprofit
• Discover How Enables Evidence Based Public Policy
• Discover Predict Prevent Malnutrition
• Discover How Transforms Lives Through Access Essential Surgery
• Knowledge Check
• Summary

Products: Azure Openai, Fabric, Microsoft 365 Copilot, Power Apps

Roles: Business Owner, Business User

Level: Beginner

Subjects: Artificial Intelligence

Duration: 38 minutes

Learn practical applications of Microsoft 365 Copilot in business workflows.

Units in this learning path:

• Introduction
• Prepare Weekly Status Report
• Build Client Proposal Deck
• Create Executive Summary
• Summary

Products: M365, Office 365

Roles: Business User

Level: Beginner

Subjects: Artificial Intelligence, Business Applications

Duration: 49 minutes

Learn to structure complex Copilot Studio agents using child agents. Create focused subagents, configure how they receive tasks and return results, and control when they're invoked to build organized, scalable agent solutions.

Units in this learning path:

• Introduction
• Understand Child Agents
• Create Configure Child Agent
• Configure Child Agent Inputs Outputs Triggers
• Test Manage Child Agents
• Knowledge Check
• Summary

Products: Microsoft Copilot Studio

Roles: Maker

Level: Intermediate

Subjects: Artificial Intelligence, Chatbots

Duration: 50 minutes