MS AI-102 Develop AI Solutions in Azure

Duration: Five Days

Overview

As a Microsoft Azure AI engineer, you build, manage, and deploy AI solutions that leverage Azure AI.

Your responsibilities include participating in all phases of AI solutions development, including:

• Requirements definition and design
• Development
• Deployment
• Integration
• Maintenance
• Performance tuning
• Monitoring

You work with solution architects to translate their vision. You also work with data scientists, data engineers, Internet of Things (IoT) specialists, infrastructure administrators, and other software developers to:

• Build complete and secure end-to-end AI solutions.
• Integrate AI capabilities in other applications and solutions.

As an Azure AI engineer, you have experience developing solutions that use languages such as:

• Python
• C#

You should be able to use Representational State Transfer (REST) APIs and SDKs to build secure image processing, video processing, natural language processing, knowledge mining, and generative AI solutions on Azure. You should:

• Understand the components that make up the Azure AI portfolio and the available data storage options.
• Be able to apply responsible AI principles.

Recommended Perquisites

• AZ 900 Introduction to Microsoft Azure
• AI 900 Microsoft Azure AI Fundamentals
• Using Data Science Tools in Python
• Python Dash Essentials

Course Outline

Develop generative AI apps in Azure

• Introduction
• What is AI?
• Foundry Tools
• Microsoft Foundry
• Developer tools and SDKs
• Responsible AI
• Exercise - Prepare for an AI development project
• Module assessment
• Summary

Develop AI agents on Azure

• Introduction
• What are AI agents
• Options for agent development
• Microsoft Foundry Agent Service
• Exercise - Explore AI Agent development
• Module assessment
• Summary

Develop natural language solutions in Azure

• Introduction
• Provision an Azure Language resource
• Detect language
• Extract key phrases
• Analyze sentiment
• Extract entities
• Extract linked entities
• Exercise - Analyze text
• Module assessment
• Summary

Develop computer vision solutions in Azure

Develop AI information extraction solutions in Azure

• Introduction
• What is Azure Content Understanding?
• Create a Content Understanding analyzer
• Use the Content Understanding REST API
• Exercise - Extract information from multimodal content
• Module assessment
• Summary