Coming Soon Computer Vision cover

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

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

When will these diplomas launch? إمتى الدبلومات دي هتفتح؟

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.

Can I register right now? هل أقدر أحجز دلوقتي؟

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.

Will there be a verified certificate? هل في شهادة موثقة؟

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

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

Is the content tailored for engineers in Egypt and the Arab region? هل المحتوى مناسب للمهندسين في مصر والمنطقة العربية؟

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.

How do I register? إزاي أسجل في الكورس؟

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

سجل حسابك وأضف الكورس للسلة واتبع خطوات الدفع.

Is there a student discount? هل في خصم للطلبة؟

Yes — students get an automatic discount shown at checkout.

أيوه — الطلبة ليهم خصم خاص بيظهر أوتوماتيك.

Are courses recorded or live? هل الكورسات مسجلة ولا لايف؟

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

كل الكورسات مسجلة عشان تتعلم في أي وقت يناسبك.

Are courses free for Palestine? هل فلسطين الكورسات مجانية؟

Yes — all courses are free for people from Palestine.

أيوه — كل الكورسات مجانية لأهل فلسطين.

What payment methods are available? إيه طرق الدفع المتاحة؟

Bank transfer, Vodafone Cash, InstaPay.

تحويل بنكي، فودافون كاش، إنستاباي.