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Designing and Implementing a Microsoft Azure AI Solution (AI-102T00)
Designing and Implementing a Microsoft Azure AI Solution (AI-102T00)
Course Duration
4 Days
Audience
Employees of federal, state and local governments; and businesses working with the government.
Prerequisites
No prerequisites required.
Course Description
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.
Course Outline
Module 1: Introduction to AI on Azure
Lessons
- Introduction to Artificial Intelligence
- Artificial Intelligence in Azure
- Describe considerations for creating AI-enabled applications
- Identify Azure services for AI application development
Module 2: Developing AI Apps with Cognitive Services
Lessons
- Getting Started with Cognitive Services
- Using Cognitive Services for Enterprise Applications
- Provision and consume cognitive services in Azure
- Manage cognitive services security
- Monitor cognitive services
- Use a cognitive services container
Module 3: Getting Started with Natural Language Processing
Lessons
- Analyzing Text
- Translating Text
- Use the Text Analytics cognitive service to analyze text
- Use the Translator cognitive service to translate text
Module 4: Building Speech-Enabled Applications
Lessons
- Speech Recognition and Synthesis
- Speech Translation
- Use the Speech cognitive service to recognize and synthesize speech
- Use the Speech cognitive service to translate speech
Module 5: Creating Language Understanding Solutions
Lessons
- Creating a Language Understanding App
- Publishing and Using a Language Understanding App
- Using Language Understanding with Speech
- Create a Language Understanding app
- Create a client application for Language Understanding
- Integrate Language Understanding and Speech
Module 6: Building a QnA Solution
Lessons
- Creating a QnA Knowledge Base
- Publishing and Using a QnA Knowledge Base
- Use QnA Maker to create a knowledge base
- Use a QnA knowledge base in an app or bot
Module 7: Conversational AI and the Azure Bot Service
Lessons
- Bot Basics
- Implementing a Conversational Bot
- Use the Bot Framework SDK to create a bot
- Use the Bot Framework Composer to create a bot
Module 8: Getting Started with Computer Vision
Lessons
- Analyzing Images
- Analyzing Videos
- Use the Computer Vision service to analyze images
- Use Video Analyzer to analyze videos
Module 9: Developing Custom Vision Solutions
Lessons
- Image Classification
- Object Detection
- Use the Custom Vision service to implement image classification
- Use the Custom Vision service to implement object detection
Module 10: Detecting, Analyzing, and Recognizing Faces
Lessons
- Detecting Faces with the Computer Vision Service
- Using the Face Service
- Detect faces with the Computer Vision service
- Detect, analyze, and recognize faces with the Face service
Module 11: Reading Text in Images and Documents
Lessons
- Reading text with the Computer Vision Service
- Extracting Information from Forms with the Form Recognizer service
- Use the Computer Vision service to read text in images and documents
- Use the Form Recognizer service to extract data from digital forms
Module 12: Creating a Knowledge Mining Solution
Lessons
- Implementing an Intelligent Search Solution
- Developing Custom Skills for an Enrichment Pipeline
- Creating a Knowledge Store
- Create an intelligent search solution with Azure Cognitive Search
- Implement a custom skill in an Azure Cognitive Search enrichment pipeline
- Use Azure Cognitive Search to create a knowledge store