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Join the Computer Vision Lab

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Program Requirements


The Computer Vision Lab is an advanced specialization focused on building practical, real-world skills, designed for learners with a strong foundation and a commitment to succeed.

The Lab runs continuously, so you can start as soon as your application is accepted.

Acceptance into the Computer Vision Lab requires:

  • Intermediate-level Python skills.
  • Ability to manipulate basic data structures like lists and dictionaries, and write definitions for functions and classes.
  • Familiarity with essential deep learning concepts
    • including supervised and unsupervised learning, overfitting and regularization, and training, validation, and test sets.
  • A commitment to spend 10-15 hours per week on lecture videos, assignments, office hours, and individual study.
  • That students are at least 18 years of age.

This professional development opportunity does not require any prior degrees or credentials.

Frequently Asked Questions

1

How can I prepare for the Labs Admissions Assessments?

Before you can start your Lab, you will need to take an Admissions Assessment. We want to make sure you have a solid foundation on which you can build the skills we teach in our program. Information on the number of questions in the Assessment, the time to completion, and the passing grade will be provided within the Admissions Assessment page.

We ask that you not use supplementary materials to ensure you are measuring your actual indivi

2

What happens if I fail the Lab Admissions Assessment?

If you fail the Admissions Assessment for a Lab program, you have a second attempt after a 7-day waiting period. Applicants who do not pass the test on their 2nd attempt are able to reapply to the Lab following a waiting period of 6 months from the date of their 2nd attempt.

Important Warning: Creating multiple accounts to attempt the Admissions Assessment  is a violation of the University’s Academi

3

Are the Labs self-paced?

All of WQU’s Labs are 100% free, online, and self-paced, allowing you to set your own study schedule. You can move through the existing projects at your own pace and set your own deadlines. We generally recommend setting aside about 10-15h per week to ensure your continued progress, but you may take as much time to complete the Lab as you need. As you successfully complete each project you will gain access to the next pro

4

Do I need to take the Labs in a specific order?

Our Labs are flexible, and you can take them in any order based on your prior knowledge and goals.

That said, we recommend starting with the Applied Data Science Lab to build a strong foundation in working with data, learning how to clean, analyze, and model it to solve real-world problems. From there, the Deep Learning Fundamentals Lab helps you move beyond traditional machine learning and understand ho

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