Autonomous Cars: Deep Learning and Computer Vision in Python — 90% Off Coupon

Learn OpenCV, Keras, object and lane detection, and traffic sign classification for self-driving cars

4.8 12,768 students enrolledCreated by Sundog Education by Frank Kane, Frank Kane, Prof. Ryan Ahmed, Mitchell Bouchard, Sundog Education TeamLast 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: Autonomous Cars: Deep Learning and Computer Vision in Python
•Provider: Udemy (listed via CourseSpeak)
•Instructor: Sundog Education by Frank Kane, Frank Kane, Prof. Ryan Ahmed, Mitchell Bouchard, Sundog Education Team
•Coupon Verified On: November 13, 2025
•Difficulty Level: All Levels
•Category: Development
•Subcategory: Computer Vision
•Duration: 12h 30m of on-demand video
•Language: English
•Access: Lifetime Access · Mobile & TV compatible
•Certificate: Certificate of completion included
•Top Learning Outcomes: Automatically detect lane markings in images · Detect cars and pedestrians using a trained classifier and with SVM · Classify traffic signs using Convolutional Neural Networks
•Prerequisites: Windows, Mac, or Linux PC with at least 3GB free disk space. · Some prior experience in programming.
•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:

✓Automatically detect lane markings in images.
✓Detect cars and pedestrians using a trained classifier and with SVM.
✓Classify traffic signs using Convolutional Neural Networks.
✓Identify other vehicles in images using template matching.
✓Build deep neural networks with Tensorflow and Keras.
✓Analyze and visualize data with Numpy, Pandas, Matplotlib, and Seaborn.
✓Process image data using OpenCV.
✓Calibrate cameras in Python, correcting for distortion.
✓Sharpen and blur images with convolution.
✓Detect edges in images with Sobel, Laplace, and Canny.
✓Transform images through translation, rotation, resizing, and perspective transform.
✓Extract image features with HOG.
✓Detect object corners with Harris.
✓Classify data with machine learning techniques including regression, decision trees, Naive Bayes, and SVM.
✓Classify data with artificial neural networks and deep learning.

Course Requirements & Prerequisites

Background knowledge or tools recommended before starting this course:

•Windows, Mac, or Linux PC with at least 3GB free disk space.
•Some prior experience in programming.

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 Sundog Education by Frank Kane, Frank Kane, Prof. Ryan Ahmed, Mitchell Bouchard, Sundog Education Team. For full instructor bio, credentials, and other courses they teach, visit the instructor profile on Udemy.

•Instructor: Sundog Education by Frank Kane, Frank Kane, Prof. Ryan Ahmed, Mitchell Bouchard, Sundog Education Team
•Field: Development
•Teaching Style: Practical, project-based learning (as described in course curriculum)

Is the Autonomous Cars: Deep Learning and Computer Vision in Python Coupon Worth It?

Autonomous Cars: Deep Learning and Computer Vision in Python is a development course offered on Udemy by instructor Sundog Education by Frank Kane, Frank Kane, Prof. Ryan Ahmed, Mitchell Bouchard, Sundog Education Team, spanning 12h 30m of on-demand content. It holds a 4.8/5 rating from over 12,768 enrolled students.

Through CourseSpeak, you can access this course with a 90% discount coupon. The coupon was last verified on November 13, 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 (4.8/5) and enrollment numbers (12,768 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 November 2025. For individual student reviews, visit the course page directly.

4.8
12,768 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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