Making API Requests

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

• Introduction to Azure Machine Learning

Resources

The GitHub repository for this course is at https://github.com/cloudacademy/azure-recommendation-engine.