Building a Recommendation Engine on Azure

Video: .MP4, AVC, 1920×1080, 30 fps | Audio: English, AAC, 44.1 KHz, 2 Ch | Duration: 27m | 487 MB
Instructor: Guy Hummel

Building a Recommendation Engine on Azure is a course designed for teams interested in using artificial intelligence to add product recommendations to their websites.
A product recommendation engine is a valuable feature that helps drive sales on e-commerce sites. In this course, you will learn the essentials of building, deploying, and testing a recommendation engine on Microsoft Azure. You will also build skills to fine-tune a recommendation model and evaluate its effectiveness.
This course is made up of five lectures covering deploying, testing, configuring, evaluating models, and making API requests. This is an intermediate level course, and prior Azure and API experience is recommended.
Learning Objectives
Deploy a recommendation engine on Microsoft Azure
Test and evaluate different recommendation models
Make API calls to the Microsoft Product Recommendations Solution
Intended Audience
People who are interested in artificial intelligence services on Microsoft Azure, especially recommendation engines
Experience using Microsoft Azure
Experience using APIs
The GitHub repository for this course is at

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