AI-102T00 | Designing and Implementing a Microsoft Azure AI Solution
 
AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. The course will use C# or Python as the programming language.
 
Audience Profile
Software engineers concerned with building, managing and deploying AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and conversational AI solutions on Azure.
 
Course Outline
Module 1: Get started with Azure AI Services
Azure AI Services is a collection of services that are building blocks of AI functionality you can integrate into your applications. In this learning path, you'll learn how to provision, secure, monitor, and deploy Azure AI Services resources and use them to build intelligent solutions.
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
Module 2: Create computer vision solutions with Azure AI Vision
Computer vision is an area of artificial intelligence that deals with visual perception. Azure AI Vision includes multiple services that support common computer vision scenarios.
Analyze images
Image classification with custom Azure AI Vision models
Detect, analyze, and recognize faces
Read Text in images and documents with the Azure AI Vision Service
Analyze video
Module 3: Develop natural language processing solutions with Azure AI Services
Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications.
Analyze text with Azure AI Language
Create question answering solutions with Azure AI Language
Build a conversational language understanding model
Create a custom text classification solution
Custom named entity recognition
Translate text with Azure AI Translator service
Create speech-enabled apps with Azure AI services
Translate speech with the Azure AI Speech service
Module 4: Implement knowledge mining with Azure AI Search
Do you have information locked up in structured and unstructured data sources? Using Azure AI Search, you can extract key insights from this data, and enable applications to search and analyze them.
Create an Azure AI Search solution
Create a custom skill for Azure AI Search
Create a knowledge store with Azure AI Search
Enrich your data with Azure AI Language
Implement advanced search features in Azure AI Search
Build an Azure Machine Learning custom skill for 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 5: Develop solutions with Azure AI Document Intelligence
In this learning path, discover how Azure AI Document Intelligence solutions can enable you to capture data from typed or hand-written forms. Learn how to build a solution for your custom form types and integrate that solution into an Azure Cognitive Search pipeline.
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
Build a Document intelligence custom skill for Azure AI search
Module 6: Develop Generative AI solutions with Azure OpenAI Service
Azure OpenAI Service provides access to OpenAI's powerful large language models such as ChatGPT, GPT, Codex, and Embeddings models. These models enable various natural language processing (NLP) solutions to understand, converse, and generate content. Users can access the service through REST APIs, SDKs, and Azure OpenAI Studio.
Get started with Azure OpenAI Service
Build natural language solutions with Azure OpenAI Service
Apply prompt engineering with Azure OpenAI Service
Generate code with Azure OpenAI Service
Generate images with Azure OpenAI Service
Implement Retrieval Augmented Generation (RAG) with Azure OpenAI Service
 
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