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 out of 5(12,768 students enrolled)Created by Sundog Education by Frank Kane, Frank Kane, Prof. Ryan Ahmed, Mitchell Bouchard, Sundog Education TeamLast updated: 🌐 English

Course Overview - Key Takeaways

The following summarizes all verified data points for this course, including pricing, duration, instructor, and coupon validity. All data is sourced directly from Udemy and verified by CourseSpeak on .

•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 14, 2025
•Difficulty Level: All Levels
•Category: Development
•Subcategory: Computer Vision
•Duration: 12h 30m of on-demand video
•Language: English
•Access: Lifetime access to all course lectures and updates
•Certificate: Official certificate of completion issued by Udemy upon finishing all course requirements
•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.
•Price: $9.99 with coupon / Regular Udemy price: $99.99. Applying this coupon saves you $90.00 (90% OFF).
•Coupon: Click REDEEM COUPON below to apply discount
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What You'll Learn

This course gives you the following verified skills and competencies in Development:

✓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

The following background knowledge and tools are recommended before starting this course. Students without these prerequisites may still enroll but should expect a steeper learning curve:

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

About This Udemy Course

The following is the full official course description as published on Udemy by instructor Sundog Education by Frank Kane, Frank Kane, Prof. Ryan Ahmed, Mitchell Bouchard, Sundog Education Team. It covers the curriculum structure, teaching methodology, and topic scope for this Development course:

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Course Comparison

Compare features side by side to find the best course for your needs.

FeatureCURRENT
ProviderUdemyUdemy
Price
$9.99$99.99-90%
$11.99$119.99-90%
Rating
4.8(12.8k)
4.5(8.5k)
Duration12h 30m54h
CouponBLACK_...MARCH0...
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Is the Autonomous Cars: Deep Learning and Computer Vision in Python Coupon Worth It?

Expert review by Josh Smith, Lead Course Reviewer at CourseSpeakUpdated Nov 14, 2025

Based on analysis of the curriculum structure, student engagement metrics, and verified rating data, this is a high-value resource for learners seeking to build skills in Development. Taught by Sundog Education by Frank Kane, Frank Kane, Prof. Ryan Ahmed, Mitchell Bouchard, Sundog Education Team on Udemy, the 12h 30m 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 $99.99 to $9.99, removing the primary financial barrier to enrollment.

Pros

  • ✓Verified 90% price reduction.
  • ✓High learner satisfaction (4.8/5).
  • ✓Trusted by 12,768 students.
  • ✓Certificate + lifetime access.

Cons

  • !May be challenging for absolute beginners.
  • !Lifetime access depends on Udemy.
  • !Projects & quizzes need extra time.
JS
Josh Smith
Lead Course Reviewer
Credentials →

"Given the 90% price reduction and verified 4.8-star rating, Autonomous Cars: Deep Learning and Computer Vision in Python is a strong value in Development on Udemy. Enrollment recommended while the coupon is active."

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Final Verdict: Worth It
Exceptional value with current pricing
New to redeeming coupons? Visit our step-by-step guide for detailed instructions on how to apply coupon codes.Coupon last verified November 14, 2025.Udemy coupons are time-limited — redeem as soon as possible.

Course Rating Summary

This course holds an aggregate rating of 4.8 out of 5 based on 12,768 student reviews on Udemy. The distribution below shows the approximate percentage of students who gave each star rating.

4.8
12,768 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. Last verified: November 14, 2025.

Instructor Profile

Background information on Sundog Education by Frank Kane, Frank Kane, Prof. Ryan Ahmed, Mitchell Bouchard, Sundog Education Team, the instructor responsible for this course on Udemy.

SE
Sundog Education by Frank Kane, Frank Kane, Prof. Ryan Ahmed, Mitchell Bouchard, Sundog Education Team
Udemy Instructor
Full Profile ↗
Subject Area
Development
Total Students
12,768+ enrolled
Rating
4.8 / 5.0
Course Duration
12h 30m
Teaching Approach
Practical, project-based instruction focused on real-world application of Development skills. This course provides structured progression from foundational concepts to advanced techniques.

Frequently Asked Questions

The following questions and answers cover the most common queries about this course, its coupon code, pricing, and enrollment process. All answers are based on verified data from Udemy as of November 14, 2025.

About the Author

Josh Smith
Josh Smith
Udemy Coupon Specialist

8+ years finding and verifying the best Udemy deals. Helped thousands of students save on premium courses through curated coupon codes and exclusive discounts.

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