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 Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming language.
Description
Overview
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.
Course Objectives
After completing this course, students will be able to:
- Describe considerations for AI-enabled application development
- Create, configure, deploy, and secure Azure Cognitive Services
- Develop applications that analyze text
- Develop speech-enabled applications
- Create applications with natural language understanding capabilities
- Create QnA applications
- Create conversational solutions with bots
- Use computer vision services to analyze images and videos
- Create custom computer vision models
- Develop applications that detect, analyze, and recognize faces
- Develop applications that read and process text in images and documents
- Create intelligent search solutions for knowledge mining
Who Should Attend
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: Introduction to AI and AI on Azure
- Introduction to AI
- Getting Started with Azure AI Services
- Using Azure AI Services for enterprise applications
Module 2: Develop computer vision solutions with Azure AI Vision
- Analyze and manipulate images
- Detect and recognize faces
Module 3: Develop natural language processing solutions
- Analyzing and translating text
- Translating Text
- Build a question answering solution
- Build a conversational language understanding app
- Custom classification and named entity extraction
- Speech recognition, synthesis, and translation
Module 4: Develop Generative AI Solutions with Azure OpenAI Service
- Get started with Azure OpenAI Service
- Develop apps with Azure OpenAI Service
- Apply prompt engineering with Azure OpenAI Service
- Use your own data with Azure OpenAI Service
Module 5: Creating a knowledge Mining Solution
- Implementing an Intelligent Search Solution
- Developing Custom Skills for an Enrichment Pipeline
Module 6: Develop solutions with Azure AI Document Intelligence
- Use prebuilt Document Intelligence models
- Train a custom Document Intelligence model
Prerequisites
Before attending this course, students must have:
- Knowledge of Microsoft Azure and ability to navigate the Azure portal
- Knowledge of either C# or Python
- Familiarity with JSON and REST programming semantics
To gain C# or Python skills, complete the free Microsoft learning paths Get started with C#, Part 1 or Python for beginners before attending the course.
If you are new to artificial intelligence, and want an overview of AI capabilities on Azure, consider completing the Microsoft Azure AI Fundamentals course before taking this one.