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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 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

Learn how to deploy a model to an endpoint. When you deploy a model, you can get real-time or batch predictions by calling the endpoint.

Modules in this learning path:

• Deploy Model Managed Online Endpoint
• Deploy Model Batch Endpoint

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 89 minutes

Learn how to deploy an AI copilot app using Docker, Azure Container Resource, and Azure Kubernetes Service.

Units in this learning path:

• Introduction
• Deploy Apps with Azure Kubernetes Service
• Create Containerized App
• Exercise Prepare Your Copilot Application
• Exercise Create Azure Kubernetes Service Cluster
• Knowledge Check
• Summary

Products: Azure Cosmos Db, Azure Kubernetes Service, Azure Openai

Roles: Data Engineer, Developer

Level: Intermediate

Subjects: Artificial Intelligence, Databases

Duration: 39 minutes

Learn how to design a data ingestion solution for training data used in machine learning projects.

Units in this learning path:

• Introduction
• Identify Your Data Source Format
• Choose How Serve Data Workflows
• Solution
• Exercise
• Knowledge Check
• Summary

Products: Azure Databricks, Azure Machine Learning, Azure Synapse Analytics

Roles: Data Scientist

Level: Beginner

Subjects: Artificial Intelligence, Machine Learning

Duration: 33 minutes

Interact with Microsoft Copilot to learn about the capabilities of generative AI. Bring your personal creativity and passion to dream up a novel destination and create the content to help tell its story. Use Microsoft Copilot to ideate, research, and generate content. Use tips and techniques to write good prompts. Apply format and tone.

Units in this learning path:

• Introduction
• Exercise Define Idea Set Context
• Exercise Create Hero Image
• Exercise Make Grand Entrance
• Exercise Brainstorm Destination Features
• Exercise Plan Menu
• Exercise Ideate Ambience Music
• Exercise Create Branding
• Knowledge Check
• Summary

Products: Ms Copilot

Roles: Business Owner, Business User, Higher Ed Educator, K 12 Educator, Parent Guardian, Student

Level: Beginner

Subjects: Artificial Intelligence

Duration: 53 minutes

Design machine learning operations MLOps solution with Azure Machine Learning Python SDK v2.

Units in this learning path:

• Introduction
• Explore Machine Learning Operations Solution Architecture
• Design Monitoring
• Design Retraining
• Case Study
• Summary

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 36 minutes