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Computer Vision By Using C++ and OpenCV with GPU support
One Education

Master Computer Vision Using C++ & OpenCV with GPU Support | CPD Accredited | Lifetime Access | Easy Refund

Summary

Price
£19 inc VAT
Study method
Online, On Demand
Duration
2.4 hours · Self-paced
Qualification
No formal qualification
CPD
10 CPD hours / points
CPD What's this?
Certificates
  • Reed Courses Certificate of Completion - Free
Additional info
  • Tutor is available to students

Overview

Unlock the Power of Vision: Master Computer Vision with C++ and OpenCV

Step into the future of technology by mastering Computer Vision using C++ and OpenCV with GPU support. This CPD-accredited course is your gateway to a high-demand career in AI and machine learning. With expert-led modules, flexible learning options, and comprehensive tutor support, you'll gain the skills needed to excel in this cutting-edge field.​

What is Included:

  • Background segmentation, object detection with OpenCV ML module (C++ CUDA), and optical flow techniques.
  • Access course materials anytime, anywhere, with lifetime access.
  • One-to-one assistance available on weekdays to guide your learning journey.
  • Structured modules designed by industry experts to ensure comprehensive understanding.
  • Upon completion, gain eligibility to gain a CPD-accredited certificate to enhance your professional credentials.​

What Makes This Course a Smart Career Move?

The demand for Computer Vision professionals in the UK is on the rise, with average salaries ranging from £55k to £65k per year. By acquiring expertise in C++ and OpenCV with GPU support, you position yourself at the forefront of technological innovation, opening doors to opportunities in various industries such as healthcare, automotive, and robotics.

Take the first step towards a rewarding career in Computer Vision. Enrol now and transform your future.

Certificates

Reed Courses Certificate of Completion

Digital certificate - Included

Will be downloadable when all lectures have been completed.

CPD

10 CPD hours / points
Accredited by CPD Quality Standards

Curriculum

6
sections
23
lectures
2h 27m
total

Course media

Description

This comprehensive course is designed to equip you with the foundational and advanced skills in Computer Vision using C++ and OpenCV. Through practical examples and hands-on assignments, you'll learn to implement real-world applications that leverage GPU acceleration for enhanced performance.​

Whether you're a student, a recent graduate, or a professional looking to upskill, this course offers a structured learning path to master the intricacies of Computer Vision. With lifetime access to course materials and dedicated tutor support, you can learn at your own pace and revisit content as needed.​

Learning Objectives:

  • Understand the fundamentals of Computer Vision and its applications.
  • Set up and configure the necessary environments for development.
  • Implement background segmentation and object detection techniques using OpenCV ML module with C++ CUDA.
  • Apply optical flow methods to track motion in video sequences.
  • Develop and test Computer Vision applications with GPU support for enhanced performance.​

Why Should You Take This Course?

As industries increasingly rely on visual data analysis, the need for skilled Computer Vision professionals continues to grow. This course not only provides you with the technical skills required but also offers a CPD-accredited certificate upon completion, enhancing your employability and professional recognition.​

Course Curriculum:

  • Module 01: Set up Necessary Environments
  • Module 02: Introduction with Basic Examples
  • Module 03: Background Segmentation
  • Module 04: Object Detection with OpenCV ML Module (C++ CUDA)
  • Module 05: Optical Flow
  • Additional Resources: Supplementary materials to reinforce learning

Who is this course for?

  • Students and recent graduates aiming to specialise in Computer Vision.
  • Professionals seeking to enhance their skills in AI and machine learning.
  • Individuals interested in developing GPU-accelerated applications.
  • Anyone looking to obtain a CPD-accredited certification in Computer Vision.​

Requirements

  • No prior experience required.
  • A computer with internet access.
  • Willingness to learn and apply Computer Vision concepts.​

Career path

Upon completion, you can pursue roles such as:​

  • Computer Vision Engineer: £55k to £65k per year .
  • Machine Learning Engineer: £50k to £70k per year.
  • AI Research Scientist: £60k to £80k per year.
  • Software Developer specialising in Computer Vision: £45k to £65k per year.​

Questions and answers

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Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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