Building a Recommendation Engine on Azure
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
Prerequisites
- Experience using Microsoft Azure
- Experience using APIs
Related Training Content
Resources
The GitHub repository for this course is at https://github.com/cloudacademy/azure-recommendation-engine.
Guy launched his first training website in 1995 and he's been helping people learn IT technologies ever since. He has been a sysadmin, instructor, sales engineer, IT manager, and entrepreneur. In his most recent venture, he founded and led a cloud-based training infrastructure company that provided virtual labs for some of the largest software vendors in the world. Guy’s passion is making complex technology easy to understand. His activities outside of work have included riding an elephant and skydiving (although not at the same time).