Grad-CAM Courses Online & Cerification Training

Overview

Curriculum

Mentor

Reviews

Explore how visual explanations are produced within image-based models through the Grad-CAM process. This course focuses on creating heatmaps that highlight important regions in an image, making it easier to understand which parts influence the model’s outcome. You will learn the complete procedure, including gradient extraction, feature map interaction, and heatmap generation, supported with simple numerical examples that show each step clearly. All demonstrations are carried out in Python, using real image samples from areas such as medical diagnosis, remote sensing and product inspection. This course is suitable for learners who work with image-based systems and require meaningful region-level interpretation for reports, analysis and decision-making.

1.1

XAI- Definition and Importance
Working of XAI
Applications of XAI

2.1

Perturbation-Based Feature Attribution Methods
Propagation-Based Feature Attribution Methods
Concept-Based Explainability Methods

3.1

Interpretable Machine Learning Models
Deep Learning Models in XAI
Future of XAI in Machine Learning

4.1

Introduction to Grad-CAM
Step-by-step explanation
Applications of Grad-CAM

5.1

Numerical Example of Grad-CAM

6.1

Matlab code development

7.1

Python code development

8.1

Matlab
Python

4.6

5 Ratings

Reviews

Arvind Kumar

( Excellent visual explanation technique. )

"This course explains how Grad-CAM visualizes the regions in images that influence model predictions."

Kavya Sharma

( Very practical computer vision course. )

"The instructor demonstrates how Grad-CAM can interpret deep learning models used in image classification."

Sanjay Rao

( Great XAI learning experience. )

"The visual examples made it very easy to understand how models focus on specific parts of an image."

Neha Kapoor

( Clear and engaging course. )

"The course explains Grad-CAM step by step and demonstrates its practical importance in explainable AI."

Aditya Verma

( Highly informative and practical. )

"A great course for anyone interested in understanding how deep learning models make visual decisions."

₹1000

₹6000

Live Learning Sessions - 2hrs

Join live classes to gain deeper insights and direct feedback from expert instructors.

This course includes:

Validity:

60 days
Validity:

60 days
Category:

XAI
Lessons:

8
Students:

1950
Language:

English
Certificates:

Yes