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
Prerequisite
• Microsoft Certified: Azure AI Fundamentals
OR
• Knowledge of Microsoft Azure and ability to navigate the Azure portal
• Knowledge of either C# or Python
• Familiarity with JSON and REST programming semantics
Target Audience
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 Curriculum
Module 1: Introduction to AI on Azure
Module 2: Developing AI Apps with Cognitive Services
Module 3: Getting Started with Natural Language Processing
Module 4: Building Speech-Enabled Applications
Module 5: Creating Language Understanding Solutions
Module 6: Building a QnA Solution
Module 7: Conversational AI and the Azure Bot Service
Module 8: Getting Started with Computer Vision
Module 9: Developing Custom Vision Solutions
Module 10: Detecting, Analyzing, and Recognizing Faces
