Course Curriculum

Module 01: Driver installation 00:06:00
Module 02: Cuda toolkit installation 00:01:00
Module 03: Compile OpenCV from source with CUDA support part-1 00:06:00
Module 04: Compile OpenCV from source with CUDA support part-2 00:05:00
Module 05: Python environment for flownet2-pytorch 00:09:00
Module 01: Read camera & files in a folder (C++) 00:11:00
Module 02: Edge detection (C++) 00:08:00
Module 03: Color transformations (C++) 00:07:00
Module 04: Using a trackbar (C++) 00:06:00
Module 05: Image filtering with CUDA (Introduction to using OpenCV GPU methods on C++) 00:13:00
Module 01: Background segmentation with MOG (C++) 00:04:00
Module 02: MOG and MOG2 cuda implementation (C++ – CUDA) 00:03:00
Module 03: Special app: Track class 00:06:00
Module 04: Special app: Track bgseg Foreground objects 00:08:00
Module 01: A simple application to prepare dataset for object detection (C++) 00:08:00
Module 02: Train model with openCV ML module (C++ and CUDA) 00:13:00
Module 03: Object detection with openCV ML module (C++ CUDA) 00:06:00
Module 01: Optical flow with Farneback (C++) 00:08:00
Module 02: Optical flow with Farneback (C++ CUDA) 00:06:00
Module 03: Optical flow with Nvidia optical flow SDK (C++ CUDA) 00:05:00
Module 04: Optical flow with Nvidia Flownet2 (Python) 00:05:00
Module 05: Performance Comparison 00:07:00
Resources 00:00:00

Computer Vision c++ Course Overview

Computer Vision with C++ & OpenCV is one of the most exciting fields in technology today. From self-driving cars to face recognition on your phone, this skill powers the tools shaping our future. If you’re curious about how machines “see” and understand images, this course is your starting point.

This Computer Vision with C++ & OpenCV programme is built for those who want practical, hands-on skills. You’ll use C++, a fast and powerful programming language, alongside OpenCV, the leading library for image processing. Together, they let you build real applications that detect faces, track movement, and process images in real time.

By the end of this Computer Vision with C++ & OpenCV course, you’ll understand how computers interpret visual data. You’ll write your own programs to filter images, detect shapes, and recognise objects. No confusing theory dumps, just clear lessons that build your confidence step by step.

Whether you’re aiming for a career in AI, robotics, or software engineering, this training gives you a genuine edge. Learn the tools professionals use, and start building projects that actually work.

Learning Outcomes

  • Write C++ programs that process and manipulate digital images
  • Use OpenCV to load, edit, and analyse pictures and video
  • Detect edges, shapes, and objects within an image
  • Apply filters to clean up or enhance visual data
  • Track movement and changes across video frames
  • Build simple face and object detection systems
  • Apply your Computer Vision with C++ & OpenCV skills to real projects in AI, robotics, and software development

What You’ll Gain

  • Set up your development environment
     You’ll learn how to install drivers, the CUDA toolkit and compile OpenCV from source. This gives you a strong start in Computer Vision with C++ & OpenCV.
  • Learn basic image processing in C++
     You’ll read camera feeds, detect edges and apply colour transformations. These are core skills used across computer vision projects.
  • Explore GPU-powered image filtering
     You’ll use CUDA with OpenCV to speed up image processing tasks. This introduces you to advanced OpenCV GPU methods in C++.
  • Master background segmentation
     You’ll study MOG and MOG2 techniques to separate objects from backgrounds. This is a key skill in object tracking and video analysis.
  • Track objects in real scenes
     You’ll build applications to track classes and foreground objects. This gives you hands-on experience in real-world computer vision tasks.
  • Understand object detection with OpenCV ML
     You’ll prepare datasets, train models and detect objects using CUDA. This is essential knowledge for machine learning in vision-based systems.
  • Learn optical flow techniques
     You’ll explore Farneback and Nvidia optical flow methods for motion analysis. This strengthens your understanding of advanced C++ programming in vision applications.
  • Compare performance across methods
     You’ll review performance differences between various optical flow approaches. This helps you understand efficiency in real computer vision projects.
  • Earn a free digital certificate
     You’ll receive a free PDF certificate once you complete the course, with a hardcopy option available. This adds real value to your CV in a competitive field.
  • Boost your career in AI and robotics
     You’ll gain theoretical knowledge useful for roles in AI-powered automation, robotics and data analysis, where OpenCV and C++ skills often support salaries above £45,000 in the UK. This course helps you stand out through Computer Vision with C++ & OpenCV.

Our Specialised Delivery Method:

  • Interactive Learning Materials: The course modules were created using an EdTech industry-recognised tool to keep you engaged at all times. With this tool, you get interactive, engaging and top-notch course content. In our courses, you can take advantage of features like—
    • Drop Down Menu
    • Drag and Drop
    • Flash Card
    • Label Graphic
    • Timeline View
  • Responsiveness: In light of contemporary mobile and point-of-need learning trends, our courses are designed to be intrinsically dynamic and provide you the ultimate eLearning solution. These courses will adapt to any gadget without any extra software.
  • Learner-Friendly Navigation: Our courses are also quite simple to navigate for any learner. These courses are designed with simplicity and a modern flow that appeals to a wide range of learning audiences, regardless of their technical background and gadgets.
  • Elegant Outline: Our courses are visually appealing, where you can —
    • Track your progress on the left-side navigation toolbar.
    • Engage in drag-and-drop sorting activities and use the multiple response question to test your understanding of course topics.

With your newly acquired skills from this course can help you

  • Increase Your Hireability.
  • Make Yourself a Valuable Asset
  • Get Your Long-awaited Promotion.
  • Boost Your Pay-scale
  • Better Your Productivity

Certification:

Once you have successfully completed the Computer Vision with C++ & OpenCV course with certificate, you will receive a PDF certificate completely free of cost as a proof of your accomplishment. The hardcopy certificate is also available for the cost of £9.99. UK students are required to pay a £10 as a delivery fee, while international students have to pay £19.99 for the shipment of a hardcopy certificate to their designated address.

Who is this course for?

This opencv c++ course is developed for people who wish to excel in their professional and personal life. Learn from industry leaders and interact with a global network of experts by enrolling in this Computer Vision with C++ & OpenCV course.

Requirements

Enrolling in our Computer Vision with C++ & OpenCV course does not require any prior knowledge or experience. All that is required is an internet-connected gadget and a passion to learn.

Career Path

  • Junior Computer Vision Engineer
    Assists in building and testing image processing and object detection algorithms using C++ and OpenCV.
     Salary = £30,000–£40,000/year (early-career computer vision engineers with 1–4 years’ experience average £39,999)

  • Computer Vision Engineer
     Develops and optimises computer vision algorithms (object detection, segmentation, tracking) for real-time applications.
     Salary = £40,000–£73,000/year (typical UK range £42,443–£72,816, average £54,245 per year)

  • C++ Software Engineer (Vision/Robotics)
     Writes high-performance C++ code that integrates vision systems into robotics, embedded, or industrial platforms.
     Salary = £35,000–£46,000/year (average £41,175 per year, rising to £46,000 for mid-career engineers with 5–9 years’ experience)

  • Robotics Software Engineer
    Designs and tests software (C++, ROS) that drives autonomous robots, often combining OpenCV-based perception with control systems.
     Salary = £45,000–£90,000/year (recent postings include roles paying £65,000–£90,000 DOE and £45,000–£60,000 DOE for junior ML/vision roles)

  • Vision Systems Engineer
     Builds and maintains machine-vision inspection systems for manufacturing, healthcare, or industrial quality control.
     Salary = £40,000–£68,000/year (average computer vision engineer salary in England £67,804 per year)

  • Senior/Principal Computer Vision Engineer
    Leads computer vision R&D, architecture decisions, and mentors teams building production-grade CV pipelines.
     Salary = £57,000–£102,000/year (London average £76,024 per year), with top earners reaching £102,46

Certification:​

Once you have successfully completed this course, you can order a certificate as proof of your achievement.

A PDF certificate is available for £5.99. You can also request a hardcopy certificate for £9.99.

Delivery of the hardcopy certificate is free within the United Kingdom. For international learners, an additional delivery charge will apply based on the destination country.

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