Coming Soon Computer Vision cover
Home • Catalog • Computer Vision
AI & Deep Learning

Computer Vision — From OpenCV to Modern Vision Models

A complete computer-vision specialization covering image fundamentals, OpenCV, PyTorch, CNNs, detection, segmentation, tracking, and modern vision architectures.

📚 9 units 🪜 30 steps / lessons ⏱️ Self-paced
This course / diploma is coming soon
This course is coming soon — register your details and we'll notify you when it launches.
Expected launch: Q3 2026
Pricing on launch

Available as part of AI diploma bundles

الكورس ده قيد التحضير — سجل بياناتك وهنبلغك أول ما ينزل.

🚀 Enrollment opens soon 🔔 Sign up to be notified
Outcomes3
Tools0
Projects0
CertificateVerified
🎯 Why this diploma is worth it

Not a watch-and-forget course — a complete technical reference that lives with you

You get the videos, materials, quizzes, exams and projects — a solid, always-updated reference for every technology in the diploma. You won't need another source.

♾️

Lifetime reference + yearly updates

Come back anytime — at work, in interviews, in projects. Refreshed every year so it stays up to date.

📦

Everything in one place

Deep-dive videos + materials + quizzes + exams for every part — a complete curriculum, not just lectures.

⏱️

Learn at your own pace

Fully recorded. Finish on your schedule, complete a part each month, and progress step by step.

🛠️

Real projects on GitHub

0+ hands-on projects you submit and push to a GitHub repo — building a portfolio that convinces any employer.

🧑‍🏫

Manual review + industry instructors

Your projects are reviewed by hand, taught by instructors working in the industry — real feedback that levels you up.

🏆

Verified certificate + training letter

A QR-verifiable certificate + an Arabic/English training letter that convinces HR — ready for jobs and college.

3Learning outcomes
0Tools & tech
0Hands-on projects
★ 4.9Avg student rating
🚀 Start now — claim your spot in the diploma

What you will learn

  • ✅ Understand the classical-to-deep CV transition
  • ✅ Build strong intuition for detection, segmentation, and tracking
  • ✅ Prepare for production CV and generative vision systems

Curriculum & units

📚 9 units 🪜 30 steps ⏱️ Flexible
Unit 1: Fundamental Concepts 4 topics · Flexible pace
  • Lesson 1: Introduction to CV & images representation and operations — Overview of computer vision. Basic concepts and terminology.
  • Lesson 2: Machine Learning Basics — Basic Machine Learning concepts (supervised, unsupervised and reinforcement Learning)
  • Lesson 3: Introduction to Nueral Networks part1 — Neural Network concept, structure, activation functions and Loss functions
  • Lesson 4: Introduction to Nueral Networks part2 — Neural Network training, Chain rule and Gradient descent
Unit 2: Pytorch 5 topics · Flexible pace
  • Lesson 1: Introduction to Pytorch and Tesors — Tensors usage and operations
  • Lesson 2 : On-hands Pytorch practice part1 — Build our first Deep learnig model (Regression)
  • Lesson 3 : On-hands Pytorch practice part2 — Saving your Pytorch model
  • Lesson 4: On-hands Pytorch practice part3 — Build our first Deep learnig model (Classification)
  • Lesson5: Data Loaders — practical explanation of data loaders importance and how are used
Unit 3: OpenCV & Classical Computer Vision 3 topics · Flexible pace
  • Lesson1: OpenCV, Image operations and transformations — - What is OpenCV
  • Lesson2: Filtering, Gradients and Edge detection — - Image Enhancement.
  • Lesson3: Thresholding, Morphological Transformations and classical segmentations — - Thresholding (global, adaptive and limitations)
Unit 4: Deep Learning in Computer Vision 4 topics · Flexible pace
  • Lesson1: CNNs — - From Classical Vision to Deep Learning
  • Lesson2: CNN Architectures p1 — AleNet, VGG, InceptionNet (architectures, innovations(stem downsampling, GAP), enhancements)
  • Lesson3: CNN Architectures p2 — Vanishing gradient, Skip connections and ResNet architecture
  • Lesson4: Training, exporting and Deployment — - Transfer learning
Unit 5: Object Detection 4 topics · Flexible pace
  • Lesson1: Object Detection part1 — -Whaat is Object Detection (Bounding boxes,Bounding box annotation formats, Detection pipeline overview, Common datasets)
  • Lesson2: Object Detection part2 — - Two-Stage Detectors(R-CNN, Fast R-CNN, RPN, Loss functions in two-stage detectors, Speed vs accuracy trade-off)
  • Lesson3: Object Detection part3 — - Single-Stage Detectors (One-stage vs two-stage, SSD architecture, YOLO, Grid-based detection)
  • Lesson4: Object Detection part4 — - Anchor-Free Detection (Keypoint-based detection, FCOS, CenterNet, YOLOX)
Unit 6: Segmentation 3 topics · Flexible pace
  • Lesson1: Segmentation p1 — - What is image segmentation (Types of segmentation, Datasets overview, )
  • Lesson2: Segmentation p2 — - Encoder–Decoder Architectures (concept, U-Net architecture and variants)
  • Lesson3: Segmentation p3 — - Instance Segmentation (Mask-RCNN, ROIAlign)
Unit 7: Tracking 4 topics · Flexible pace
  • Lesson1: Tracking p1 — - What is object tracking (Tracking-by-detection paradigm, Online vs offline tracking, challenges)
  • Lesson2: Tracking p2 — - Single Object Tracking (SOT) (Initialization, Tracking evaluation, Short-term vs long-term, ....)
  • Lesson3: Tracking p3 — - Siamese Network–Based Tracking (Siamese learning for similarity matching, SiamFC, SiamRPN / SiamRPN++, Template matching vs dynamic updates)
  • Lesson4: Tracking p4 — - Multi-Object Tracking (MOT) (SORT, DeepSORT)
Unit 8: Modern Architectures 5 topics · Flexible pace
  • Lesson1: Efficient and Modern architectures — - Limitations of early CNNs
  • Lesson2: ViT — - Vision Transformers (ViT) (Why transformers entered vision, Patch embedding, Positional encoding, ViT architecture, Data-hungry nature)
  • Lesson3: Hierarchical and Hybrid Transformers — - Swin Transformer
  • Lesson4: Foundation Models — - CLIP (vision–language alignment)
  • Lesson5: Neural Architecture Search (NAS) — - Search space, search strategy, evaluation
Unit 9: Generative Computer Vision 4 topics · Flexible pace
  • Lesson1: Generative Models part1 — - Generative vs. Discriminative Models
  • Lesson2: Generative Models part2 — - GANs and it's variants, Evaluation challenges, Training instability and mode collapse
  • Lesson3: Generative Models part3 — - Text-to-Image & Vision–Language Generation (Prompt Engineering, Cross-Attention, Failure modes and bias)
  • Lesson4: Generative Models part4 — - Generative Models for CV Tasks (Synthetic Data for Detection, Domain Adaptation, weak supervision)

Projects you will build

Tools & platforms

Target audience

  • Engineers specializing in computer vision
  • Embedded/robotics engineers moving into vision AI
  • Advanced learners building a vision portfolio

Career paths

What you receive after finishing

Verification-ready certificates and HR-friendly training letters.

🏆

Verified Certificate

Official Learn in Depth completion certificate with QR verification.

Verifiable on the public verification page.

🇬🇧

English Training Letter

For international companies and overseas employment.

On official Learn in Depth letterhead, signed by the instructor.

🇪🇬

Arabic Training Letter

For local employers in MENA and university coordination.

Bilingual stamped letter ready for HR submission.

🏢

Company-Stamped Certificate

Company-stamped, for academic credit. Request it by contacting +20 155 876 5064 via WhatsApp or phone.

Issued upon request after successful completion.

Course FAQ

The current target is Q3 2026. Register via the form and we will send launch and pricing updates first.

المستهدف الحالي هو Q3 2026. سجّل بياناتك في الفورم وسنرسل لك أول تحديثات الإطلاق والأسعار.

These tracks are currently marked Coming Soon. You can browse the curriculum and leave your details to be notified when registration opens.

حاليًا المسارات في حالة Coming Soon. تقدر تتصفح المحتوى وتسجل اهتمامك لنبلغك عند فتح التسجيل.

Yes — every track is designed around a verified certificate and hands-on project review.

أيوة — كل مسار مصمم بشهادة موثقة ومراجعة عملية للمشاريع الرئيسية.

Yes. The positioning, support, and project design target engineers in the Egyptian and Gulf markets with a strong practical hiring focus.

أيوة، التسويق والدعم وبناء المشاريع معمولين خصيصًا لمهندسين السوق المصري والخليجي مع تركيز على التوظيف العملي.

Send a WhatsApp message to +201558765064 saying: "I need to reset my device ID" along with your email. We'll reset the old device and you can immediately access on the new one.

ابعت رسالة على واتساب +201558765064 وقول: "عايز أعمل reset لل ID بتاعي" واكتب الإيميل بتاعك. هنعمل Reset للجهاز القديم وتقدر تفتح على الجهاز الجديد فوراً.

Create your account, add the course to cart, and follow the payment steps.

سجل حسابك وأضف الكورس للسلة واتبع خطوات الدفع.

Yes — students get an automatic discount shown at checkout.

أيوه — الطلبة ليهم خصم خاص بيظهر أوتوماتيك.

All courses are recorded so you can learn at your own pace.

كل الكورسات مسجلة عشان تتعلم في أي وقت يناسبك.

Yes — all courses are free for people from Palestine.

أيوه — كل الكورسات مجانية لأهل فلسطين.

Bank transfer, Vodafone Cash, InstaPay.

تحويل بنكي، فودافون كاش، إنستاباي.

Related courses