Complete Computer Vision Bootcamp With PyTorch & Tensorflow — 90% OFF Discount Coupon

Learn Computer Vision with CNN, TensorFlow, and PyTorch — Master Object Detection from Basics to Advanced

★4.5 out of 5
8,460 students
Created by Krish Naik, Sourangshu Pal, Monal kumar, KRISHAI Technologies Private Limited
English
Updated April 2026

Quick Facts — Course Summary

Here's a quick overview of everything you need to know about Complete Computer Vision Bootcamp With PyTorch & Tensorflow before you enroll:

•Course Name: Complete Computer Vision Bootcamp With PyTorch & Tensorflow
•Platform: Udemy
•Instructor: Krish Naik, Sourangshu Pal, Monal kumar, KRISHAI Technologies Private Limited
•Coupon Last Verified: April 21, 2026
•Level: Advanced
•Topic: Development
•Subtopic: Computer Vision
•Total Time: 54h of video content
•Language: English
•Access Type: Unlimited lifetime access + updates
•Certificate: Included upon completion from Udemy
•Main Skills: Master CNN concepts from basics to advanced with TensorFlow & PyTorch. · Learn object detection models like YOLO and Faster R-CNN. · Implement real-world computer vision projects step-by-step.
•Requirements: Basic understanding of Python programming. · Familiarity with fundamental machine learning concepts.
•Current Price: $11.99 (was $119.99). You save $108.00 with 90% discount.
•How to Apply: Click the coupon button to activate your discount automatically
💡
Tip:For best results, apply the coupon in a regular browser window rather than incognito/private mode.

Skills You'll Master

By the end of Complete Computer Vision Bootcamp With PyTorch & Tensorflow, you'll have these practical skills:

✓Master CNN concepts from basics to advanced with TensorFlow & PyTorch. .
✓Learn object detection models like YOLO and Faster R-CNN. .
✓Implement real-world computer vision projects step-by-step. .
✓Gain hands-on experience with data preprocessing and augmentation. .
✓Build custom CNN models for various computer vision tasks. .
✓Master transfer learning with pre-trained models like ResNet and VGG .
✓Gain practical skills with TensorFlow and PyTorch libraries.

What You Need Before Starting

Before enrolling in Complete Computer Vision Bootcamp With PyTorch & Tensorflow, make sure you have:

•Basic understanding of Python programming.
•Familiarity with fundamental machine learning concepts.
•Knowledge of basic linear algebra and calculus.
•Understanding of image data and its structure.
•Enthusiasm to learn computer vision with hands-on projects.

About This Udemy Course

The following is the full official course description for Complete Computer Vision Bootcamp With PyTorch & Tensorflow as published on Udemy by instructor Krish Naik, Sourangshu Pal, Monal kumar, KRISHAI Technologies Private Limited:

In this comprehensive course, you will master the fundamentals and advanced concepts of computer vision, focusing on Convolutional Neural Networks (CNN) and object detection models using TensorFlow and PyTorch. This course is designed to equip you with the skills required to build robust computer vision applications from scratch.

What You Will Learn

Throughout this course, you will gain expertise in:

Introduction to Computer Vision
  • Understanding image data and its structure.
  • Exploring pixel values, channels, and color spaces.
  • Learning about OpenCV for image manipulation and preprocessing.
Deep Learning Fundamentals for Computer Vision
  • Introduction to Neural Networks and Deep Learning concepts.
  • Understanding backpropagation and gradient descent.
  • Key concepts like activation functions, loss functions, and optimization techniques.
Convolutional Neural Networks (CNN)
  • Introduction to CNN architecture and its components.
  • Understanding convolution layers, pooling layers, and fully connected layers.
  • Implementing CNN models using TensorFlow and PyTorch.
Data Augmentation and Preprocessing
  • Techniques for improving model performance through data augmentation.
  • Using libraries like imgaug, Albumentations, and TensorFlow Data Pipeline.
Transfer Learning for Computer Vision
  • Utilizing pre-trained models such as ResNet, VGG, and EfficientNet.
  • Fine-tuning and optimizing transfer learning models.
Object Detection Models
  • Exploring object detection algorithms like:
  • YOLO (You Only Look Once)
  • Faster R-CNN
  • Implementing these models with TensorFlow and PyTorch.
Image Segmentation Techniques
  • Understanding semantic and instance segmentation.
  • Implementing U-Net and Mask R-CNN models.
  • Real-World Projects and Applications
Building practical computer vision projects such as:
  • Face detection and recognition system.
  • Real-time object detection with webcam integration.
  • Image classification pipelines with deployment.
Who Should Enroll?

This course is ideal for:
  • Beginners looking to start their computer vision journey.
  • Data scientists and ML engineers wanting to expand their skill set.
  • AI practitioners aiming to master object detection models.
  • Researchers exploring computer vision techniques for academic projects.
  • Professionals seeking practical experience in deploying CV models.
Prerequisites

Before enrolling, ensure you have:
  • Basic knowledge of Python programming.
  • Familiarity with fundamental machine learning concepts.
  • Basic understanding of linear algebra and calculus.
  • Hands-on Learning with Real Projects
This course emphasizes practical learning through hands-on projects. Each module includes coding exercises, project implementations, and real-world examples to ensure you gain valuable skills.

By the end of this course, you will confidently build, train, and deploy computer vision models using TensorFlow and PyTorch. Whether you are a beginner or an experienced practitioner, this course will empower you with the expertise needed to excel in the field of computer vision.

Enroll now and take your computer vision skills to the next level!

Compare Similar Courses

This section allows you to compare the current course with similar options to help you make an informed decision by evaluating prices, ratings, and key features side by side.

Compare prices and features to find the best deal for your learning needs

Is the Complete Computer Vision Bootcamp With PyTorch & Tensorflow Coupon Worth It?

Expert review by Andrew Derek, Lead Course Analyst at CoursesWyn.•Last updated: April 21, 2026.

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, Complete Computer Vision Bootcamp With PyTorch & Tensorflow is a high-value resource for learners seeking to build skills inDevelopment. Taught by Krish Naik, Sourangshu Pal, Monal kumar, KRISHAI Technologies Private Limited on Udemy, the 54h course provides a structured progression from foundational concepts to advanced techniques— making it suitable for learners at all levels. The current coupon reduces the price by 90%, from $119.99 to $11.99, removing the primary financial barrier to enrollment.

✓What We Like (Pros)

  • Verified 90% price reduction makes this course accessible to learners on any budget.
  • Aggregate student rating of 4.5 out of 5 indicates high learner satisfaction.
  • Strong enrollment base with over 8,460 students demonstrates course popularity and trust.
  • Includes an official Udemy completion certificate and lifetime access to all future content updates.

!Keep in Mind (Cons)

The following limitations should be considered before enrolling in Complete Computer Vision Bootcamp With PyTorch & Tensorflow:

  • The depth of Development coverage may be challenging for absolute beginners without the listed prerequisites.
  • Lifetime access is contingent on the continued operation of the Udemy platform.
  • Hands-on projects and quizzes require additional time investment beyond video watch time.
Final Verdict: Worth It
This course offers exceptional value with current pricing
✓

Course Rating Summary

Complete Computer Vision Bootcamp With PyTorch & Tensorflow Course holds an aggregate rating of 4.5 out of 5 based on 8,460 student reviews on Udemy.

4.5
★★★★★
8,460 Verified Ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is approximated from the aggregate score. Sourced from Udemy.

Instructor Profile

The following section provides background information on Krish Naik, Sourangshu Pal, Monal kumar, KRISHAI Technologies Private Limited, the instructor responsible for creating and maintaining Complete Computer Vision Bootcamp With PyTorch & Tensorflow on Udemy.

Complete Computer Vision Bootcamp With PyTorch & Tensorflow is taught by Krish Naik, Sourangshu Pal, Monal kumar, KRISHAI Technologies Private Limited, a Udemy instructor specializing in Development. For the full instructor biography, professional credentials, and a complete list of their courses, visit the official instructor profile on Udemy.

•Instructor Name: Krish Naik, Sourangshu Pal, Monal kumar, KRISHAI Technologies Private Limited
•Subject Area: Development
•Teaching Approach: Practical, project-based instruction focused on real-world application of Development skills.

Frequently Asked Questions

The following questions and answers cover the most common queries about Complete Computer Vision Bootcamp With PyTorch & Tensorflow, its coupon code, pricing, and enrollment process.

About the Author

AD

Andrew Derek

Lead Course Analyst at CoursesWyn with 8+ years of experience evaluating online learning platforms. I've analyzed 500+ Udemy courses and helped thousands of learners choose the right courses for their career goals.

⭐4.8/5 Rating
✓Trusted by 10K+ Students

Explore More Resources

Discover related content and navigation options for Development:

More Development Courses You Might Like

Similar Udemy courses in Development with verified coupons: