Python Computer Vision Mini-Degree [2022]

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Computer vision is one of the core technologies powering the next generation of consumer and enterprise applications. From detecting counterfeit bills to advanced security systems, daily medical diagnostics, monitoring the health of livestock, and more, computer vision is in high demand throughout nearly every industry – and so is the need for trained developers with these skills.

The Python Computer Vision Mini-Degree is designed to quickly get you developing computer vision and Internet of Things (IoT) applications with Python, NumPy, and OpenCV. You’ll master the core concepts underlying computer vision – including image representation and manipulation, pattern detection, and video and optical flow. As you learn, you’ll build real portfolio-ready projects, including a smart speed camera, an Instagram-style image filter, a smart security camera, and more.

By developing a comprehensive understanding of this powerful technology, you’ll be prepared to take on the world as a well-informed and highly prepared developer.


You will master:

  • Python programming basics
  • Functional arrays and matrices with NumPy
  • Capturing speed with optical flow
  • Image manipulation
  • Movement detection


Build Computer Vision Projects

Create a portfolio of computer vision projects, including:



Level 1 Python Computer Vision Mini-Degree Learning Goals

Level 1: Python Fundamentals
  • Python language basics
  • Object-oriented programming
  • Arrays & matrices with NumPy

Level 2 Python Computer Vision Mini-Degree Learning Goals

Level 2: Image Processing 
  • Edit contrast, brightness, & grayscale
  • Create custom image filters
  • Understand convolution
  • Build an Instagram-style photo editing app

Level 3 Python Computer Vision Mini-Degree Learning Goals

Level 3: Optical Flow
  • Track objects in video
  • Determine object speed
  • Camera intrinsics
  • Visualize object speed & path in realtime
  • Create a speed camera app

Level 4 Python Computer Vision Mini-Degree Learning Goals

Level 4: Smart Applications
  • Summation notation & image similarity
  • Video processing
  • Detecting movement in live footage
  • Triggering actions from detections
  • Build a smart security camera


100% Beginner-Friendly

This curriculum gives you all the tools needed to start developing with computer vision applications with Python – featuring introductory modules for those who have never coded before, to intermediate courses perfect for more experienced developers looking to branch out into new specializations, this Mini-Degree is designed to help you succeed.


Why Learn Computer Vision?

Computer vision is a fast-growing industry where developers are highly in demand. Worldwide, the majority of companies are already using or planning to use computer vision in their operations to increase efficiency. This has resulted in both vast investments in the industry as well as a huge market increase for computer vision.

Percentage bars showing frequency of computer vision adoption in organizations

List of Computer Vision facts

Bar graph showing the computer vision market forecast

Bar graph showing the worldwide AI funding

As you can imagine, both job growth and salaries for computer vision have made lucrative opportunities for many developers – and there is no better time to jump into the industry!

List of base salaries for Python-related fields, including computer vision engineer

Bar graph showing job growth for Python-related fields


We start with the absolute basics and go through everything step-by-step – so even if you have zero experience in programming, you’ll be able to easily follow along.

More experienced? Whether you’re wanting to brush up, expand your skills, or learn a new technology, our courses are structured in a way that makes it easy to skip ahead to the lessons that are relevant and interesting to you.


Zenva’s courses feature quick challenges that will speed up your learning.

Access live coding lessons where you can practice coding right in your browser, and instantly see the results of any changes you make to the code:

Reinforce key concepts with in-course quizzes, which appear throughout courses:


Our course instructors aren’t just fun to learn from – they’re also serious gamers, qualified coders, and have been formally certified by Unity Technologies and CompTIA for their excellent programming and teaching skills. That way, you can be confident that you’re developing strong, modern skills that will set you up for success as a game developer.