Designing and Implementing a Microsoft Azure AI Solution
Course ID : AI-102T00-A
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.
- 4 Days
- Intermediate
- Tunisia / Bahrain
- English / French
- Virtual & Classroom Training
- Certification: N/A
- 4 Days
- Intermediate
- Tunisia / Bahrain
- English / French
- Virtual & Classroom Training
- Certification: N/A
Discover course
Module 1: Introduction to AI on Azure
- Introduction to Artificial Intelligence
- Artificial Intelligence in Azure
Module 2: Developing AI Apps with Cognitive Services
- Getting Started with Cognitive Services
- Using Cognitive Services for Enterprise Applications
- Lab 1: Get Started with Cognitive Services
- Lab 2: Manage Cognitive Services Security
- Lab 3: Monitor Cognitive Services
- Lab 4: Use a Cognitive Services Container
Module 3: Getting Started with Natural Language Processing
- Analyzing Text
- Translating Text
- Lab 5: Translate Text
- Lab 6: Analyze Text
Module 4: Building Speech-Enabled Applications
- Speech Recognition and Synthesis
- Speech Translation
- Lab 7: Recognize and Synthesize Speech
- Lab 8: Translate Speech
Module 5: Creating Language Understanding Solutions
- Creating a Language Understanding App
- Publishing and Using a Language Understanding App
- Using Language Understanding with Speech
- Lab 9: Create a Language Understanding Client Application
- Lab 10: Create a Language Understanding App
- Lab 11: Use the Speech and Language Understanding Services
Module 6: Building a QnA Solution
- Creating a QnA Knowledge Base
- Publishing and Using a QnA Knowledge Base
- Lab 12: Create a QnA Solution
Module 7: Conversational AI and the Azure Bot Service
- Bot Basics
- Implementing a Conversational Bot
- Lab 13: Create a Bot with the Bot Framework SDK
- Lab 14: Create a Bot with Bot Framework Composer
Module 8: Getting Started with Computer Vision
- Analyzing Images
- Analyzing Videos
- Lab 15: Analyze Video
- Lab 16: Analyze Images with Computer Vision
Module 9: Developing Custom Vision Solutions
- Image Classification
- Object Detection
- Lab 17: Classify Images with Custom Vision
- Lab 18: Detect Objects in Images with Custom Vision
Module 10: Detecting, Analyzing, and Recognizing Faces
- Detecting Faces with the Computer Vision Service
- Using the Face Service
- Lab 19: Detect, Analyze, and Recognize Faces
Module 11: Reading Text in Images and Documents
- Reading text with the Computer Vision Service
- Extracting Information from Forms with the Form Recognizer service
- Lab 20: Read Text in Images
- Lab 21: Extract Data from Forms
Module 12: Creating a Knowledge Mining Solution
- Implementing an Intelligent Search Solution
- Developing Custom Skills for an Enrichment Pipeline
- Creating a Knowledge Store
- Lab 22: Create a Custom Skill for Azure Cognitive Search
- Lab 23: Create an Azure Cognitive Search solution
- Lab 24: Create a Knowledge Store with Azure Cognitive Search
Audience(s)
- Software engineers
Objectives
- Describe considerations for AI-enabled application development
- Create, configure, deploy, and secure Azure Cognitive Services
- Develop applications that analyze text
Related Course
Associated Badge
Microsoft Azure AI Fundamentals
Course ID : AI-900T00-A
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