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The Computer Vision Bootcamp

Learn how Computer Vision models work, including Vision Transformers and Meta’s SAM, and how they power real-world image systems. Then put your knowledge into practice by deploying a scalable computer vision pipeline on AWS using production-ready tools and infrastructure.

12 Days

Average time students take to complete this course.

instructor
Taught by: Patrik Szepesi
Last updated: March 2026

Rated 4.9 out of 5 on Trustpilot

What you'll learn

  • Understand how Vision Transformers process images
  • Break down attention math without the hand-waving
  • Use Meta’s SAM for prompt-based segmentation
  • Visualize and evaluate segmentation outputs
  • Connect detection models with segmentation pipelines
  • Build scalable computer vision workflows in Python
  • Deploy vision systems on AWS infrastructure
  • Design production-ready AI pipelines for real products

Computer vision is a field of artificial intelligence that teaches computers how to interpret and understand images and video. That means instead of just storing visual data, a computer vision system tries to answer questions about what’s in it, like identifying objects, tracking movement, recognizing faces, reading text, or segmenting parts of an image.

In practical terms, computer vision is what powers things like self-driving cars, medical image analysis, facial recognition, quality inspection in manufacturing, image labeling tools, and more.

In short, it helps machines turn pixels into useful information they can act on.

But this course is for learners who want more than just understanding what computer vision is. You’ll dive deep into computer vision models, understand the math that makes them tick, learn how modern computer vision systems are actually built, and even build your own production-ready computer vision applications with AWS.

What Else Should I Know?

By becoming a ZTM member you'll not only get access to all our bootcamp courses, bytes, and projects.

But you’ll also get to join our exclusive live online community classroom to learn alongside thousands of students, alumni, mentors, TAs and Instructors.

Most importantly, you'll be learning from an industry professional (Patrik) that has actual real-world experience as an AI & Machine Learning Engineer. He teaches you the exact strategies and techniques he uses in his role.

Finally, as with all ZTM courses, this course is a living thing. It will be constantly updated as the landscape changes so you can use it as your go-to guide for using Computer Vision now and throughout your career.

Join 1,000s of Zero To Mastery graduates that have gotten hired and are now working at companies like Google, Tesla, Amazon, Apple, IBM, JP Morgan, Facebook, Shopify + other top tech companies.

They come from all different backgrounds, ages, and experiences. Many even started as complete beginners.

So there's no reason it can't be you too.

And you have nothing to lose. Because you can start learning right now and if this course isn't everything you expected, we'll refund you 100% within 30 days. No hassles and no questions asked.

When's the best time to get started? Today!

There's never a bad time to learn in-demand skills. But the sooner, the better. So start learning about Computer Vision today by joining the ZTM Academy. You'll have a clear roadmap to developing the skills to build your own projects, get hired, and advance your career.

Join Zero To Mastery Now

Course curriculum

To make sure this course is a good fit for you, you can start learning Computer Vision for free right now by clicking any of the PREVIEW links below.

Introduction

6 lectures

Introduction5:31

PREVIEW

What We're Building4:32

PREVIEW

Exercise: Meet Your Classmates and Instructor

PREVIEW

Course Resources

PREVIEW

ZTM Plugin + Understanding Your Video Player

PREVIEW

Set Your Learning Streak Goal

PREVIEW

Mathematics behind Vision Transformers

6 lectures

Mathematics Behind Meta's SAM (Segment Anything Model)

13 lectures

Setting up Our AWS Environment

5 lectures

Setting up Open Source Models Like Meta's SAM

12 lectures

Visualizing our Outputs

8 lectures

Saving Results to S3

3 lectures

Testing + Setup

4 lectures

Where To Go From Here?

6 lectures

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Meet your instructor

Your instructor (Patrik) isn't just an expert with years of real-world professional experience. He has been in your shoes. He makes learning fun. He makes complex topics feel simple. He will motivate you. He will push you. And he will go above and beyond to help you succeed.

Patrik Szepesi

Hi, I'm Patrik Szepesi!

Patrik is a Senior Machine Learning Engineer with years of experience and an enthusiasm for cutting-edge technologies. His focus is to teach you practical, real-world skills by building real projects that solidify your skills.

SEE MY BIO & COURSES

Patrik Szepesi

Senior Machine Learning Engineer

Frequently asked questions

Are there any prerequisites for this course?

  • Basic Python knowledge is required. Don't have that? You can start learning today by taking our Python Bootcamp course!
  • High school level mathematics is required.

Who is this course for?

  • Anyone who wants a step-by-step guide to learning to use Computer Vision models and be able to get hired as an AI Engineer
  • Anyone who wants to launch or accelerate their career in AI
  • Students, Developers, Machine Learning Engineers, Data Scientists, and AI Engineers who want to demonstrate practical, professional-level machine learning skills by actually building, training, and deploying real computer vision pipelines to the cloud
  • Anyone looking to expand their knowledge and toolkit when it comes to AI, Machine Learning and Deep Learning
  • Bootcamp or online Computer Vision tutorial graduates that want to go beyond the basics
  • Students who are frustrated with their current progress with all of the beginner Computer Vision tutorials out there that don't go beyond the basics and don't give you real-world practice or skills you need to actually get hired

Do you provide a certificate of completion?

We definitely do and they are quite nice. You will also be able to add Zero To Mastery Academy to the education section of your LinkedIn profile as well.

Are there subtitles?

Yes! We have high quality subtitles in 6 different languages: English, Spanish, French, German, Arabic, and Hindi.

You can even adjust the text size, color, background and more so that the subtitles are perfect just for you!

Still have more questions about the Academy?

Still have more questions specific to the Academy membership? No problem, we answer some more here.

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