Classic CV Masterclass
A 40-hour computer-vision masterclass — from OpenCV image processing to object detection and segmentation (YOLO), plus GANs and Siamese networks. Hands-on from the first module, you build real detection, segmentation and recognition pipelines rather than studying theory.
Next cohort
Course Info
- Type
- Certification
- Subject
- Individual & Professional Certification
- Duration
- 40 hours
- Course code
- CCVCM
- Prerequisites
- Basic computer literacy; no advanced prerequisites.
Delivery
- Live-virtual — Instructor-led online cohorts.
- On-site — In-person at your premises or ours.
Tools
- OpenCV
- image processing
- detection/segmentation
- YOLO
- GANs
- Siamese nets
What you'll learn
A 40-hour computer-vision masterclass — from OpenCV image processing to object detection and segmentation (YOLO), plus GANs and Siamese networks. Hands-on from the first module, you build real detection, segmentation and recognition pipelines rather than studying theory.
Starting with OpenCV image processing, you progress to feature detection, object detection with YOLO, segmentation, and generative and similarity models. The capstone is a complete computer-vision pipeline on real images.
- Engineers building vision features (detection, recognition, quality control).
- Data scientists moving into computer vision.
- Process and transform images with OpenCV.
- Detect and recognize objects, including real-time YOLO.
- Segment images for pixel-level understanding.
- Apply GANs and Siamese networks to vision problems.
- Build an end-to-end computer-vision pipeline.
- Hands-on labs throughout the program (70% project-based).
- A capstone project demonstrating end-to-end skills.
- Build detection, segmentation and recognition pipelines with OpenCV/YOLO.
- Apply GANs and Siamese networks to real vision problems.
Globally accredited certificate issued by Epsilon AI Learning — USA, with a unique Certificate ID and EPSILON ID. Awarded on 80% attendance, 80% final exam, and a capstone project.
Program Curriculum
- Reading, transforming and filtering images
- Color spaces and thresholding
- Edges, contours and morphology
- Feature detection and description
- Classic object detection
- Recognition pipelines
- How single-stage detectors work
- Training and fine-tuning YOLO
- Real-time inference
- Semantic vs. instance segmentation
- Masks and pixel-level labels
- Use cases and evaluation
- GANs for image generation
- Siamese networks for similarity
- Practical applications
- Framing a vision problem
- Building detection or segmentation
- Evaluating on real images
Frequently asked questions
Do I need deep-learning experience?
Yes — it is recommended after CDSP, DLM and CGAIP. On the Computer Vision Engineer path those programs give you the Python, machine-learning and deep-learning foundations the detection and generative modules build on.
Which libraries and models are used?
OpenCV for image processing, YOLO for detection, plus segmentation, GANs and Siamese networks.
What will I build?
Real detection, segmentation and recognition pipelines, ending with a complete computer-vision pipeline on real images.
How much does the program cost?
We quote on a call rather than publishing a figure, because the price depends on the format you pick — live online, onsite, or a private cohort for a team — and because we would rather check the programme is right for you before talking about money. An advisor goes through what it covers, what you will be able to do at the end, and the prerequisites, and then gives you the exact price and the payment options. It takes about twenty minutes and there is no obligation. Request it from the form on this page.
When does the next cohort start?
New cohorts open regularly, online and onsite, and we confirm dates on the same call as the price — partly because they move, and partly because the right date depends on which format suits you and whether you meet the prerequisites yet. Ask on the form and an advisor will give you the next available starts that fit your schedule.
Is the program online or onsite, and in which language?
Both — Epsilon runs live, instructor-led sessions online and onsite, plus dedicated corporate cohorts. Programs are delivered in English and Arabic, with bilingual materials and instructor support. Tell us your preference in the registration form.
What certificate will I receive?
A globally accredited certificate from Epsilon AI Learning — USA, carrying a unique Certificate ID and Epsilon ID. It is awarded on 80% attendance, an 80% final exam, and a completed capstone project, and it is verifiable online.
Continue your pathway
This program is part of the Epsilon certification framework. Explore the full seven-level pathway and top-up programs to build on what you learn here.
Computer Vision Engineer
- Certified Data Scientist Professional
- Deep Learning Masterclass
- Certified Generative AI Professional
- Classic CV Masterclass
- Reinforcement Learning Masterclass
After 2 image-recognition apps
Led by Epsilon's expert instructors
Every program is delivered by practitioners who ship AI and analytics in industry — the same team across all Epsilon programs.
Where our graduates work
A sample of the employers hiring Epsilon Learning graduates across the region and beyond.
Earning your accredited certificate
To receive the accredited certificate you need at least 80% attendance, at least 80% in the final exam, and a completed capstone project.
When the next cohort starts
Dates are confirmed on the same call as the price, because they move and because the right start depends on the format that suits you. Ask to be told when the next one opens and an advisor will come back with the starts that fit your schedule.
Tell me when the next one opens
Your name and a way to reach you. No newsletter — we write when there is a date.
Register — Classic CV Masterclass
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