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 7,135 students enrolledCreated by Krish Naik, Sourangshu Pal, Monal kumar, KRISHAI Technologies Private LimitedLast updated: 🌐 English

Course Overview — Key Details

A quick-reference summary of the most important course details: provider, instructor, difficulty, duration, and what the coupon covers.

•Course Title: Complete Computer Vision Bootcamp With PyTorch & Tensorflow
•Provider: Udemy (listed via CourseSpeak)
•Instructor: Krish Naik, Sourangshu Pal, Monal kumar, KRISHAI Technologies Private Limited
•Coupon Verified On: December 12, 2025
•Difficulty Level: Advanced
•Category: Development
•Subcategory: Computer Vision
•Duration: 54h of on-demand video
•Language: English
•Access: Lifetime Access · Mobile & TV compatible
•Certificate: Certificate of completion included
•Top Learning Outcomes: 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.
•Prerequisites: Basic understanding of Python programming. · Familiarity with fundamental machine learning concepts.
•Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

Skills and competencies you'll gain from this Udemy course:

✓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.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

•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

Full course description including curriculum, tools covered, and learning methodology:

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About the Instructor

This course is taught by Krish Naik, Sourangshu Pal, Monal kumar, KRISHAI Technologies Private Limited. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

•Instructor: Krish Naik, Sourangshu Pal, Monal kumar, KRISHAI Technologies Private Limited
•Field: Development
•Teaching Style: Practical, project-based learning (as described in course curriculum)

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

Complete Computer Vision Bootcamp With PyTorch & Tensorflow is a development course offered on Udemy by instructor Krish Naik, Sourangshu Pal, Monal kumar, KRISHAI Technologies Private Limited, spanning 54h of on-demand content. It holds a 4.5/5 rating from over 7,135 enrolled students.

Through CourseSpeak, you can access this course with a 90% discount coupon. The coupon was last verified on December 12, 2025. Udemy coupons are time-limited and claimed on a first-come basis — we recommend redeeming as soon as possible.

New to redeeming coupons? Visit our How to Redeem Udemy Coupon on CourseSpeak for detailed instructions on how to apply coupon codes.

✓ Our Take: Based on the rating (4.5/5) and enrollment numbers (7,135 students), this course appears well-regarded in its category. Use the coupon to access it at a significantly reduced price — and judge for yourself using Udemy's 30-day money-back guarantee.

Course Rating Summary

Aggregate rating data sourced from Udemy as of December 2025. For individual student reviews, visit the course page directly.

4.5
7,135 ratings
5 stars
75%
4 stars
15%
3 stars
6%
2 stars
2%
1 star
2%

* Rating distribution is estimated. For exact per-star counts, visit the Udemy course page.

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