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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…

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

Learn to configure rich agent responses in Microsoft Copilot Studio using message formatting and Adaptive Cards. This module covers message node formatting options, Adaptive Card use cases and configuration, and channel-specific schema considerations for Teams, web, and other surfaces.

Units in this learning path:

• Introduction
• Configure Message Formatting
• Design Informational Adaptive Cards
• Collect Input Adaptive Cards
• Adaptive Cards Channel Considerations
• Knowledge Check
• Summary

Products: Microsoft Copilot Studio

Roles: Maker

Level: Intermediate

Subjects: Artificial Intelligence, Chatbots

Duration: 38 minutes

Learn how to deploy models to a batch endpoint. When you invoke a batch endpoint, you trigger a batch scoring job.

Units in this learning path:

• Introduction
• Explore Batch Endpoints
• Deploy Your Mlflow Model Batch Endpoint
• Deploy Custom Model Batch Endpoint
• Monitor Batch Endpoints
• Exercise Deploy Mlflow Model Batch Endpoint
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 44 minutes

Learn how to deploy models to a managed online endpoint for real-time inferencing.

Units in this learning path:

• Introduction
• Explore Managed Online Endpoints
• Deploy Your Mlflow Model Managed Online Endpoint
• Eploy Custom Model Managed Online Endpoint
• Monitor Online Endpoints
• Exercise Deploy Mlflow Model Online Endpoint
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 45 minutes

machine learning operations, MLOps, model deployment, online endpoint

Units in this learning path:

• Introduction
• Understand Business Problem
• Explore Solution Architecture
• Model Deployment
• Exercise
• Knowledge Check
• Summary

Products: Azure Machine Learning, Github

Roles: Data Scientist, Devops Engineer

Level: Intermediate

Subjects: Artificial Intelligence, Devops, Machine Learning

Duration: 34 minutes