Course curriculum

    1. AI Usage in Healthcare

    2. Introduction

    3. Overview

    4. Examples of AI in Healthcare

    5. Examples of AI in Healthcare Cont.

    1. Project Overview

    2. Identifying a Classification Scenario

    3. Classification Examples

    4. Navigate to Azure ML

    5. Upload Dataset

    6. Create Dataset

    7. Start Computing Instance

    8. Create New Pipeline

    9. Workspace

    10. Select Input

    11. Select Columns

    12. Normalize Data

    13. Split Data

    14. Train Model

    15. Score Model

    16. Evaluate Model

    17. Review Results

    18. Analyze Results in Detail

    19. ROC Curve

    20. Area of Improvements

    21. Create Inference Pipeline

    22. Inference Pipeline Modifications

    23. Submit and Run Inference Pipeline

    24. Deploy Model

    25. Web Service Settings

    26. Test on New Data

    27. Cleanup resources

    28. Summary

    1. Introduction to NLP in Healthcare

    2. Overview

    3. Language Service / Studio

    4. Extract Healthcare Model

    5. AI in Healthcare Examples

    6. Healthcare Demonstration Introduction

    7. Language Service Creation

    8. Language Studio Navigation

    9. Testing Azure's Pre-trained 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 Healthcare Scenario

    7. Microsoft Azure Resource Creation

    8. OCR in Healthcare

    1. Introduction

    2. Early Detection of Strokes

    3. Radiogenomics

    4. Diabetes Care

    5. Baricitinib

    6. Congratulations on completing this course!

About this course

  • $850.00
  • 5 Modules
  • 15 hours of learning content

Course Highlights

  • Develop AI-powered healthcare solutions using real-world data

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

  • Analyze medical data for insights, diagnostics, and predictive modeling

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

  • Understand ethical responsibilities when working with healthcare data

  • Connect with professionals in healthcare, data science, and AI fields