Postgraduate Certificate in Computer Vision

Master cutting-edge computer vision technologies with our comprehensive 9-month PG Diploma program, certified by UCAM University, Spain. This professional development program equips you with advanced skills in Python programming, machine learning, deep learning, and computer vision applications through 144 hours of live instructor-led training.

9 Months

7 Modules

6 Assignments

Blended Learning

3 Projects

Intermediate to Advanced

Globally Recognized & Accredited:

15000

Students Trained Globally

Industry-Aligned Programs

Countries with Active Alumni

Career Transition Success

Tools & Technologies That Power Success

Master the complete computer vision ecosystem with hands-on experience using industry-leading tools and frameworks. Our PG Diploma in Computer Vision equips you with practical skills in Python programming, deep learning, neural networks, and advanced computer vision applications – preparing you for real-world challenges in AI and machine learning.

Python

MySQL

Anaconda

Jupyter Hub

Pandas

NumPy

Seaborn

Matplotlib

Excel

GIT

HTML

CSS

Tools & Technologies That Power Success

Python

MySQL

TensorFlow

Jupyter Hub

Pandas

NumPy

Seaborn

Matplotlib

Keras

OpenCV

PyTorch

Anaconda

Study the Postgraduate Certificate in Computer Vision online from Dubai, Abu Dhabi or Sharjah

Learners across the UAE take this programme online alongside full-time work. Over 9 months you join 144 hours of live, instructor-led sessions and work through 7 modules, 6 assignments and 3 projects. The format is blended, so live sessions sit alongside self-paced study you fit around your week. Learners elsewhere in the GCC and beyond follow the same programme online.

Want to check how the live sessions fit your working hours? Talk to an advisor.

Can I take the Postgraduate Certificate in Computer Vision from Dubai, Abu Dhabi or Sharjah?

Yes. The programme is delivered online in a blended format, so you can take it from anywhere in the UAE, or from any other country, alongside your job.

How long is the Postgraduate Certificate in Computer Vision?

9 months, with 144 hours of live instructor-led training, 7 modules, 6 assignments and 3 projects.

How much does the Postgraduate Certificate in Computer Vision cost?

Costs depend on the intake, so we don’t publish them here. Contact an Airtics advisor for current fees and payment options.

Universidad Católica de Murcia, PG Diploma

Universidad Católica de Murcia (UCAM), founded in 1996, is a fully-accredited European University based out of Murcia, Spain. With learning centres in the Middle East and Southeast Asia, UCAM aims to provide students with the knowledge and skills to serve society and contribute to the further expansion of human knowledge through research and development. The university offers various courses, including 30 official bachelor’s degrees, 30 master’s degrees and ten technical higher education qualifications through its Higher Vocational Training Institute, in addition to its in-house qualifications and language courses. The programmes offered are distinguished in Europe and worldwide, with good graduate employability prospects as well. UCAM is accredited by ANECA (National Agency for Quality Assessment and Accreditation of Spain) and the Ministry of Education regarding 17 of its undergraduate degrees.

Eligibility

Bachelor’s Degree from a recognized University. Proficiency in English language is required for successful completion of this advanced computer vision program. This course is designed for professionals, engineers, data scientists, software developers, and researchers who want to specialize in computer vision applications across industries like healthcare, automotive, manufacturing, and technology.

Prerequisites

Intermediate to advanced Python experience. You are familiar with object-oriented programming. You can write nested for loops and can read and understand code written by others. Intermediate statistics background. You are familiar with probability. You have seen or worked with a deep learning framework like TensorFlow, Keras, or PyTorch before.

Course Modules

Your Success Story Starts Here

Every image here tells a story of transformation, dedication, and success. Be the next to wear the cap and gown. Enroll today, and let your journey begin.

Student Reviews

Every student has a story—of ambition, of challenge, of growth. In their own words, they share how Airtics became a turning point in their learning journey and helped them move closer to their goals.

Mohammed Ajmal

Airtics offers a truly transformative learning experience. The course content is up-to-date, the mentors are incredibly supportive, and the flexibility of the online platform made it easy to balance with my work. Highly recommended for anyone looking to upskill!

Mohammed Ajmal

Real-World Capstone Projects

Apply your computer vision skills to solve real business challenges through hands-on projects. Choose from our curated industry-based projects or bring your own organizational problem to create a portfolio that showcases your expertise to future employers.

Face Detection And Identification

Build advanced facial recognition systems using deep learning models, implementing CNN architectures and OpenCV for real-time face detection, identification, and verification in security and authentication applications.

Object Detection For Blood Cells

Develop computer vision systems for medical image analysis using YOLO and Faster R-CNN models to automatically detect and classify different types of blood cells for healthcare diagnostics and research.

Medical Image Classification

Create AI-powered medical imaging solutions using deep learning frameworks like TensorFlow and Keras to classify medical scans, supporting healthcare professionals in accurate diagnosis and treatment planning.

Learn from Industry Leaders & Experts

Learn from the best in the field. Our faculty combines academic brilliance with industry expertise, featuring PhD holders, senior data scientists, and AI researchers from top organizations.

Ms. Piyali Mondal Head of Department

Ms. Priti Mondal Associate Faculty

Dr. Abdullah El-Nokiti Professor

Dr. Mohd Merajuddin Inamdar Professor

Dr. Madhavi Vaidya Professor

Dr. Poonam Chaudhari Professor

Dr. Anup Kumar Maurya Professor

Dr. Milan Amrutkumar Joshi Industry Expert

Dr. Mohamed Elhaw Industry Expert

Dr. Pradeep Tiwari Industry Expert

Global Student Community

Students from 60+ Countries Worldwide

Frequently Asked Questions

Find answers to common questions about our PG Diploma in Computer Vision. Learn about program details, requirements, and what to expect from this 9-month certification course.

What is computer vision?

Computer Vision uses images and videos to understand a real-world scene. Just like Humans use eyes for capturing light, receptors in the brain for accessing it, and the visual cortex for processing it. Similarly, a computer understands images, videos, or a real-world scenario through machine learning algorithms and AI self-learning programming.

What knowledge is required for computer vision?

With that in mind, if you’re interested in becoming a computer vision engineer, you’ll need to have a strong knowledge of mathematics, specifically data science, calculus, and linear algebra.

What are face recognition algorithms?

The face recognition algorithm is basically the computer application that is used for tracking, detecting, identifying, or verifying human faces simply from the image or the video that has been captured using the digital camera.

What Are Sampling And Quantization?

We use sampling and Quantization to convert analog images to digital images. An image has two things: Coordinates: Digitizing coordinates is called Sampling. That is, converting the coordinates of the analog images to the digital images. Intensity/Amplitude: Digitizing of Amplitude or Intensity is called Quantization.

Why is computer vision so amazing?

Computer vision(CV) is so amazing because it grows from traditional vision to AI vision tasks. Also when deep learning has evolved the complexities of traditional computer vision tasks are solved in a fraction of time. So in the era of next-generation destructive technologies and applications computer vision plays a very important role in solving complex problems in engineering, society, and of course the whole planet.

Who can join the program?

Bachelor’s Degree from a recognized University and proficiency in English language are required. You need intermediate to advanced Python experience and familiarity with deep learning frameworks like TensorFlow, Keras, or PyTorch.

Do I need prior programming experience?

Yes, this is an advanced course requiring intermediate to advanced Python experience. You should be familiar with object-oriented programming, able to write nested for loops, and have worked with deep learning frameworks before.

What career opportunities are available after this course?

Graduates can pursue roles in transportation (self-driving cars), banking (biometric recognition), agriculture (crop monitoring), healthcare (medical imaging), manufacturing (defect detection), and education (online examination systems).

Still have questions?

If you have any other questions or need further information about our PG Diploma in Computer Vision, don’t hesitate to contact us. Our admissions team is here to help you take the next step in your computer vision career.

Why Read Our Blog?

Our blog offers a wealth of knowledge and practical advice to help you