Computer Vision

This course explores the field of computer vision, which focuses on enabling machines to interpret and understand visual data from the world around us. The course covers topics such as image processing, feature detection, object recognition, and deep learning-based approaches to computer vision.

Week 1

Image Processing and Feature Extraction

This module covers the basic image processing techniques such as filtering, thresholding, and segmentation. Students will learn how to extract features from images using traditional feature descriptors, such as SIFT and HOG.

Week 2

Convolutional Neural Networks (CNNs)

This module covers the fundamental concepts of CNNs, including convolutional layers, pooling layers, and fully connected layers. Students will learn how to design and train CNNs for various computer vision tasks, such as image classification and object detection.

Week 3

Object Detection and Recognition

This module covers the state-of-the-art techniques in object detection and recognition, such as YOLO and Faster R-CNN. Students will learn how to detect and recognize objects in images and videos using these techniques.

Week 4

Applications of Computer Vision

This module covers real-world applications of computer vision, such as facial recognition, autonomous driving, and augmented reality. Students will learn how to apply computer vision techniques to solve practical problems in different domains.

A learning approach that aligns with your company values.


Bite-sized daily lessons that you can easily fit into your schedule. Each day, we release new lessons no longer than 15 minutes. Our lessons are carefully curated to ensure that they're both engaging and informative, allowing you to learn something new every day, and at your own pace.


Collaborate with other engineers from around the world, providing you with a unique opportunity to learn from others and build your professional network.


Our live learning sessions are designed to be interactive and engaging, giving you the opportunity to ask questions and interact with subject-matter experts.


Learn by solving real-world problems. Our courses are designed to get rid of the fluff and provide you with the most relevant information to help you apply your learning.

Trusted by teams from global companies

Frequently asked questions

Are all sessions live?

Yes, all sessions during the cohort will be live with the instructor. However, we will record each session and make them available for everyone in the cohort.

What is the time commitment?

Our courses typically have 2-4 modules, with each module lasting for approximately 2h per week which you can block out on your calendar during your work day. You also get some take home projects that you can complete at your own pace.

Do I earn a certificate for this course?

Of course! Once you’ve completed the course modules, you will get a certificate of completion that you can showcase to the world.

What is included in a LearnCrunch membership?

With your LearnCrunch yearly membership, you get access to our live instructor-led cohorts, our catalog of self-guided courses, unlimited real-world projects to learn from and master new skills, exclusive live events for members and a vetted global community of experts and peers.

How much does a LearnCrunch membership cost?

An individual LearnCrunch membership costs $1,000 USD per year. If your company is interested in purchasing multiple seats, please contact

Can I expense this course?

Yes. Most LearnCrunch members have expensed this course through their Learning & Development budget, similar to how you expense conferences. You can use this email template to request expense approval from your manager.

I have more questions. Get in touch with us!

If you have more questions, email us at

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Victor Chima

Co-Founder at LearnCrunch

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