Course curriculum

    1. Prerequisites

    2. Introduction

    3. Overview

    4. Machine Learning Review

    5. Identify a Regression Scenario

    6. Microsoft Azure Designer Tool

    7. Regression Steps

    8. Regression Real World Examples

    9. Demo Intro

    10. Enabling Resource Providers: PolicyInsights / Cdn

    11. ML Service Creation

    12. Navigate to ML Studio

    13. ML Studio Tour

    14. Computing Instance

    1. Designer Tool Tour

    2. Creating a new Pipeline

    3. Splitting Data and Training

    4. Submitting Pipeline

    5. Evalution Metrics

    6. Inference Pipeline

    7. Inference Pipeline - Enter Manual Data

    8. Submit and Run Inference Pipeline

    9. Setting Up Endpoint

    10. Swagger UI

    11. Prediction on New Unseen Data

    12. Congratulations on Completing This Module!

About this course

  • $295.00
  • 5 Modules
  • 15 hours of learning content

Course Highlights

  • Build real-world AI applications to solve key challenges in the retail industry

  • Gain hands-on experience with Azure AI, NLP, and computer vision tools

  • Use data to enhance customer experience, personalize marketing, and optimize

  • Self-paced, online learning with weekly live support sessions

  • Work with real retail data to extract insights and drive strategic decisions

  • Understand the ethical use of customer data in AI applications