Online learning from an accredited institution
AI-102: Azure AI Engineer Associate
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
4 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
Prerequisites:
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.
Course Outline
Module 1: Get Started with Azure AI Services
• Plan and prepare to develop AI solutions on Azure
• Create and consume Azure AI services
• Secure Azure AI services
• Monitor Azure AI services
• Deploy Azure AI services in containers
• Use AI responsibly with Azure AI Content Safety
Module 2: Create Computer Vision Solutions in Azure
• Analyze images
• Classify images
Detect objects in images
• Detect, analyze, and recognize faces
• Read Text in images and documents with the
Azure AI Vision Service
• Analyze video
• Develop a vision-enabled generative AI application
Module 3: Implement Knowledge Mining with Azure AI Search
• Create an Azure AI Search solution
• Create a custom skill for Azure AI Search
• Create a knowledge store with Azure AI Search
• Implement advanced search features in Azure AI
Search
• Search data outside the Azure platform in Azure AI Search using Azure Data Factory
• Maintain an Azure AI Search solution
• Perform search reranking with semantic ranking in Azure AI Search
• Perform vector search and retrieval in Azure AI Search
Module 4: Develop Solutions with Azure AI Document Intelligence
• Plan an Azure AI Document Intelligence solution
• Use prebuilt Document intelligence models
• Extract data from forms with Azure Document intelligence
• Create a composed Document intelligence model
Module 5: Develop Generative AI Solutions with Azure OpenAI Service
• Develop applications with Azure OpenAI Service
• Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service
• Generate images with AI