Course curriculum

    1. AI Usage in Retail

    2. Introduction

    3. Overview

    4. Examples of AI in Retail

    5. Examples of AI in Retail Cont.

    1. Introduction

    2. Overview

    3. ML Review

    4. Identify a Regression Scenario

    5. Microsoft Azure Designer Tool

    6. Regression Steps

    7. Regression Real World Examples

    8. Demo Intro

    9. Enabling Resource Providers: PolicyInsights / Cdn

    10. ML Service Creation

    11. Navigate to ML Studio

    12. ML Studio Tour

    13. Computing Instance

    14. Designer Tool Tour

    15. Creating a new Pipeline

    16. Splitting Data and Training

    17. Submitting Pipeline

    18. Evalution Metrics

    19. Inference Pipeline

    20. Inference Pipeline - Enter Manual Data

    21. Submit and Run Inference Pipeline

    22. Setting Up Endpoint

    23. Swagger UI

    24. Prediction on New Unseen Data

    25. Congratulations on Completing This Module!

    1. Introduction to NLP in Retail

    2. Overview

    3. Language Service / Studio

    4. Configure Settings for Language Studio

    5. Examples of NLP in Retail

    6. Retail Demonstration Intro

    7. Language Service Creation

    8. Language Studio Navigation

    9. Azure's Pre-trained Sentiment Analysis Model

    1. Types of Computer Vision

    2. Microsoft Azure

    3. Optical Character Recognition

    4. OCR and Text Analysis

    5. OCR and Translation

    6. AI in Retail Scenario

    7. Microsoft Azure Resource Creation

    8. OCR in Retail

    1. Introduction

    2. Sephora Virtual Artist

    3. IKEA

    4. Rufus

    5. Walmart

    6. Nike

    7. Congratulations on completing this course!

About this course

  • $850.00
  • 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