Course Outline
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1 - Introduction to AI on Azure
- Introduction to Artificial Intelligence
- Artificial Intelligence in Azure
2 - Developing AI Apps with Cognitive Services
- Getting Started with Cognitive Services
- Using Cognitive Services for Enterprise Applications
3 - Getting Started with Natural Language Processing
- Analyzing Text
- Translating Text
4 - Building Speech-Enabled Applications
- Speech Recognition and Synthesis
- Speech Translatio
5 - Creating Language Understanding Solutions
- Creating a Language Understanding App
- Publishing and Using a Language Understanding App
- Using Language Understanding with Speech
6 - Building a QnA Solution
- Creating a QnA Knowledge Base
- Publishing and Using a QnA Knowledge Base
7 - Conversational AI and the Azure Bot Service
- Bot Basics
- Implementing a Conversational Bot
8 - Getting Started with Computer Vision
- Analyzing Images
- Analyzing Videos
9 - Developing Custom Vision Solutions
- Image Classification
- Object Detection
10 - Detecting, Analyzing, and Recognizing Faces
- Detecting Faces with the Computer Vision Service
- Using the Face Service
11 - Reading Text in Images and Documents
- Reading text with the Computer Vision Service
- Extracting Information from Forms with the Form Recognizer service
12 - Creating a Knowledge Mining Solution
- Implementing an Intelligent Search Solution
- Developing Custom Skills for an Enrichment Pipeline
- Creating a Knowledge Store
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.