AI-102 Designing and Implementing a Microsoft Azure AI Solution

Objectives

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

Highlights

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

Module 11: Reading Text in Images and Documents

Module 12: Creating a Knowledge Mining Solution

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Who Should Attend

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 Take your first steps with C# or Take your first steps with Python learning path before attending the course.

If you are new to artificial intelligence, and want an overview of AI capabilities on Azure, consider completing the Azure AI Fundamentals certification before taking this one.

Target Audience

AI Developer

Personas

AI Developer