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

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

★4.5 out of 5
8,460 students
English
Updated April 2026
Overview

Quick Facts — Complete Computer Vision Bootcamp With PyTorch & Tensorflow Overview

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 22, 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
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Skills

Skills You'll Master in This Course

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.
Prerequisites

Prerequisites for This Course

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.
Course Content

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!

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Expert Review

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 22, 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
✓
Rating

Course Rating Summary

Complete Computer Vision Bootcamp With PyTorch & Tensorflow has earned an aggregate rating of 4.5 out of 5 from 8,460 verified student reviews on Udemy. Below is the detailed rating distribution showing learner satisfaction across all star levels.

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

About the Instructor — Krish Naik, Sourangshu Pal, Monal kumar, KRISHAI Technologies Private Limited

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.
FAQ

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.

Author

About the Author

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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
Resources

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