Course curriculum

    1. Project Overview

    2. Prerequisites continued

    3. Identifying Image classification scenario

    4. Image Classification Steps

    5. Model Training

    6. Evaluation

    7. Publish Model

    8. Image Classification examples

    9. Creating Custom Vision Service

    10. Custom Vision Portal

    11. Creating New Project

    12. Image Upload

    13. Evaluating Model Performance

    1. Project Overview

    2. Prerequisities continued

    3. Object Detection

    4. Expected outputs

    5. Steps for Object Detection

    6. Prepare Data

    7. Model Training

    8. Model Evaluation

    9. Publish Model

    10. Object Detection Examples

    11. Custom Vision Setup

    12. Custom Vision Portal

    13. Object Detection Project

    14. Labelling Images and Model Training

    15. Performance Metrics

    1. Use cases

    2. Project Overview

    3. Prerequisites continued

    4. Face Detection

    5. False Postive, False Negative

    6. Obstacles

    7. Steps involved

    8. Evaluate Model

    9. Publish Model

    10. Applications

    11. Cognitive Service Resource Creation

    12. Testing Azure's Face Detection Model

    1. Use Cases

    2. Project Overview

    3. Prerequisite

    4. What is OCR

    5. How it works

    6. Steps for OCR

    7. Examples of OCR

    8. Computer Vision Resource Creation

    9. Vision Studio Navigation

    10. Testing Azure's Pre-trained OCR Model

    1. Introduction

    2. Overview

    3. Language Model

    4. Language Model Continued

    5. Text Analysis

    6. Review analysis

    7. Examples

    8. Create Language Service

    9. Reviewing Created Resource

    10. Language Studio Overview

    11. Sentiment Analysis

    1. Introduction

    2. Overview

    3. Review of OCR

    4. What is Document Intelligence?

    5. Understanding Document Intelligence

    6. Examples of Form Recognition

    7. Document Intelligence in Azure

    8. Resource Creation

    9. Document Intelligence Studio

    10. Running the Analysis

About this course

  • $850.00
  • 115 lessons
  • 5 hours of video 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

  • Engage with live weekly support in a fully online, flexible course format

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

  • Understand the ethical use of customer data in AI applications