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 AI Services, Azure AI Search, and Azure OpenAI. 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 generative AI solutions on Azure.

Course Outline

• 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
• Analyze images
• Classify images
• Detect, analyze, and recognize faces
• Read Text in images and documents with the Azure AI Vision Service
• Analyze video
• Analyze text with Azure AI Language
• Build a question answering solution
• Build a conversational language understanding model
• Create a custom text classification solution
• Create a custom named entity extraction solution
• Translate text with Azure AI Translator service
• Create speech-enabled apps with Azure AI services
• Translate speech with the Azure AI Speech service
• Create an Azure AI Search solution
• Create a custom skill for Azure AI Search
• Create a knowledge store with Azure AI Search
• Plan an Azure AI Document Intelligence solution
• Use prebuilt Azure AI Document Intelligence models
• Extract data from forms with Azure Document Intelligence
• 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
• Use your own data with Azure OpenAI Service
• Fundamentals of Responsible Generative AI