Course info
Jun 21, 2018
1h 31m
Your 10-day individual free trial includes:

Expert-led courses

Keep up with the pace of change with thousands of expert-led, in-depth courses.

Artificial Intelligence is quickly becoming one of the most important technologies in the fast-moving world today. In this course, Microsoft Azure Cognitive Services: Face API, you will learn how to extract metadata from faces such as emotion, age, gender, and more. First, you will see how face detection works using direct http calls as well as with the SDK. Next, you will get familiar with the face identification workflow and how to use face identification in a Postman environment. Finally, you will see how to use the Face API Explorer on your local machine. By the end of this course, you will feel confident fully leveraging the Face API over HTTP which will translate easily into your preferred programming language. Software required: Microsoft Azure Cognitive Services Face API 1.0.

About the author
About the author

Steve is a Program Manager with Microsoft on the Azure Global Engineering team. Prior to joining Microsoft, he was a 7-time Microsoft ASP.NET MVP.

More from the author
C# Design Patterns: Mediator
Dec 17, 2019
C# Design Patterns: Composite
Nov 14, 2019
Dapper: Getting Started
1h 27m
Jun 12, 2019
More courses by Steve Michelotti
Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
Hi everyone, my name is Steve Michelotti. Welcome to my course, Microsoft Cognitive Services: Face API. I am a software engineer and technologist, and I work at Microsoft. Our world is currently in an amazing period of exploding innovation in the areas of artificial intelligence and machine learning. The Cognitive Services Face API is a great example of that innovation. This course is a quick introduction to the Face API, and you just need some basic knowledge of how HTTP works in order to follow all the examples in this course. Some of the major topics that we will cover include getting started with the Face API by provisioning an account and making your first call, face detection including emotion detection, face identification, and other advanced features such as face verification and grouping of similar faces. By the end of this course, you'll know all the basics of working with the Face API, and you'll be able to actually incorporate this functionality into your own apps. I hope you'll join me on this journey to learn the Face API with the Microsoft Cognitive Services Face API course at Pluralsight.