Python for Computer Vision with OpenCV and Deep Learning (Udemy.com)

Learn the latest techniques in computer vision with Python , OpenCV , and Deep Learning!

( 100 Reviews )

Created by: Jose Portilla

Produced in 2025

What you will learn

Understand basics of NumPy
Manipulate and open Images with NumPy
Use OpenCV to work with image files
Use Python and OpenCV to draw shapes on images and videos
Perform image manipulation with OpenCV, including smoothing, blurring, thresholding, and morphological operations.
Create Color Histograms with OpenCV
Open and Stream video with Python and OpenCV
Detect Objects, including corner, edge, and grid detection techniques with OpenCV and Python
Create Face Detection Software
Segment Images with the Watershed Algorithm
Track Objects in Video
Use Python and Deep Learning to build image classifiers
Work with Tensorflow, Keras, and Python to train on your own custom images.

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 88 / 100

Live Chat with CourseDuck's Co-Founder for Help

Need help deciding on a python course? Or looking for more detail on Jose Portilla's Python for Computer Vision with OpenCV and Deep Learning? Feel free to chat below.

Join CourseDuck's Online Learning Discord Community

Course Description

Welcome to the ultimate online course on Python for Computer Vision!
This course is your best resource for learning how to use the Python programming language for Computer Vision.
We'll be exploring how to use Python and the OpenCV (Open Computer Vision) library to analyze images and video data.
The most popular platforms in the world are generating never before seen amounts of image and video data. Every 60 seconds users upload more than 300 hours of video to Youtube, Netflix subscribers stream over 80,000 hours of video, and Instagram users like over 2 million photos! Now more than ever its necessary for developers to gain the necessary skills to work with image and video data using computer vision.
Computer vision allows us to analyze and leverage image and video data, with applications in a variety of industries, including self-driving cars, social network apps, medical diagnostics, and many more.
As the fastest growing language in popularity, Python is well suited to leverage the power of existing computer vision libraries to learn from all this image and video data.
In this course we'll teach you everything you need to know to become an expert in computer vision! This $20 billion dollar industry will be one of the most important job markets in the years to come.
We'll start the course by learning about numerical processing with the NumPy library and how to open and manipulate images with NumPy. Then will move on to using the OpenCV library to open and work with image basics. Then we'll start to understand how to process images and apply a variety of effects, including color mappings, blending, thresholds, gradients, and more.
Then we'll move on to understanding video basics with OpenCV, including working with streaming video from a webcam. Afterwards we'll learn about direct video topics, such as optical flow and object detection. Including face detection and object tracking.
Then we'll move on to an entire section of the course devoted to the latest deep learning topics, including image recognition and custom image classifications. We'll even cover the latest deep learning networks, including the YOLO (you only look once) deep learning network.
This course covers all this and more, including the following topics:

NumPy
Images with NumPy
Image and Video Basics with NumPy
Color Mappings
Blending and Pasting Images
Image Thresholding
Blurring and Smoothing
Morphological Operators
Gradients
Histograms
Streaming video with OpenCV
Object Detection
Template Matching
Corner, Edge, and Grid Detection
Contour Detection
Feature Matching
WaterShed Algorithm
Face Detection
Object Tracking
Optical Flow
Deep Learning with Keras
Keras and Convolutional Networks
Customized Deep Learning Networks
State of the Art YOLO Networks
and much more!

Feel free to message me on Udemy if you have any questions about the course!
Thanks for checking out the course page, and I hope to see you inside!
JoseWho this course is for:

Python Developers interested in Computer Vision and Deep Learning. This course is not for complete python beginners.

Time: 14h

*Some courses are excluded from this sale. Coupon not working? If the link above doesn't drop prices, clear the cookies in your browser and then click this link here.
Also, you may need to apply the coupon code directly on the cart page to get the discount.

Coupon Code

Instructor Details

Jose Portilla

4.4 Rating
100 Reviews

Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science and programming. He has publications and patents in various fields such as microfluidics, materials science, and data science technologies. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming the ability to analyze data, as well as present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Data Inc. and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, and many more. Feel free to contact him on LinkedIn for more information on in-person training sessions or group training sessions in Las Vegas, NV.

Reviews

4.4

100 total reviews

5 star 4 star 3 star 2 star 1 star

Write a Review

By Josh S on 2 weeks ago

I came in knowing python and some CV2. I was really happy with the pace of the course. I am glad you didn't spend too much time on each function you were using. Sometimes I wish I knew why you used the parameter values you did, but I realize the length of this course if you dove in to each one. I would pause and learn on my own in those cases.Overall, it was a very excellent course. I used some of the learnings in this course to improve some code I was using at work. It was fantastic to see immediate results even before I finished. Now onwards to more machine learning training.Thank you!

By Christian Bianchi on 3 weeks ago

The teacher is highly professional. Explanations are clear and the pace is good for intermediate students. All the posted resources are absolutely great. I would suggest to add for each lesson a short pdf summary of all the new instructions that should be learnt. In general, the quality of the course is very high. Recommended

By Babak Vazifehkhahghaffari on a month ago

I really enjoy the lectures by this instructor. There are only two things that I think are needed to be fixed. First, in some points in the lecture, the instructor goes very fast and some parts are not clear. Second, The QA section. The questions are not answered.

By Tedi Zohar on 3 months ago

This is my second course with Jose, as I am gearing towards the third. There are many talented instructors, but Jose is truly exceptional in the way that he presents the material and the way the course is systematically organized. He will give you all the tools you need, but you need to be prepared to research on your own and be willing to practice many additional hours and commit to the learning process.*make sure to take his Python-Bootcamp prior to this course since the entire OpenCV course is built with Python.I highly recommend his courses at any level, I will continue to evolve my learning and skills with his material.

By Lee Vaughan on 4 months ago

I really enjoyed this course, so much so that I even got Jupyter notebook up and running on my cellphone (on Termux). Jose's teaching style is conversational but thorough. Kudos!

By Heybati farhad on 3 weeks ago

More hands-on lab and specially damage that capstone is not done by the students. By looking the people won't learn rather by doing.

By Vinod Sagar on 4 weeks ago

No proper explanation, it very difficult to understand ... need some more explanation.Not at all a good one..wasted time...think before you take

By Shalini Shukla on a month ago

This is very good, even for the beginners like me. I'm really happy with the content of the course which is well explained!

By Jos ngelo de Assis Jnior on a month ago

The course is out of date. Some scripts do not work in the new version of Open CV. Unfortunately the teacher is slow to respond.

By Edw . on 4 months ago

Good contents, but often completely absent insights about the math and the logic behind the algorithms covered.

By Scott Moses on 3 months ago

I have also taken Jose's python data visualization course and I like his teaching style, gradual building concepts step-by-step using jupyter notebooks code-along. He connects the theory/background in a practical/applicable way with adequate depth. I also appreciate that he sets up an Anaconda environment with all the needed plugins. I have purchased several other courses on Udemy in machine learning and they did not match up to this quality. Unfortunately on Udemy, I think the early badgering users for a review (after only a few videos watched) likely over-inflates the review scores and makes the courses more difficult to decide on a reliable purchase. I think this course really deserves a 5.

By Atul Deshpande on 2 months ago