TRACK 22•Deep Learning Track•ADVANCED

Computer Vision

Name: Computer Vision
Price: 3499.00 INR
Availability: InStock

Image classification, object detection, segmentation, YOLO, and Vision Transformers.

Transformer ArchitecturesPyTorch & GPU ImplementationsFull Syllabus Access

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Instructor

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12 Modules

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12 Lessons & Labs

Enrollment1-Year Full Access

₹3,499

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1-Year full access to all 12 modules & labs

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Overview & Outcomes

Course Learning Objectives

End-to-end computer vision from image fundamentals to Vision Transformers and multimodal systems. Image classification, object detection, segmentation, YOLO, and ViTs.

Core Curriculum Competencies

What you'll master

Digital image representations, convolution kernels & pooling
Convolutional Neural Networks (CNNs): LeNet, AlexNet, VGG & ResNet
Residual connections, skip connections & bottleneck layers

Transfer learning & fine-tuning pre-trained vision backbones

Object detection: YOLO & Faster R-CNN concepts

Image segmentation (U-Net) & Vision Transformers (ViT)

Syllabus & Modules

Course Curriculum

A comprehensive breakdown of all modules, theory readings, interactive quizzes, and compiler practice labs.

Module 1: Image Representation & Pixels

1 Lessons

1.1Image Representation & PixelsREADING

Module 2: Convolution & Feature Maps

1 Lessons

2.1Convolution & Feature MapsREADING

Module 3: CNN Architectures: AlexNet, VGG, ResNet

Locked

3.1CNN Architectures: AlexNet, VGG, ResNetREADING

Module 4: Image Classification

Locked

4.1Image ClassificationREADING

Module 5: Data Augmentation

Locked

5.1Data AugmentationREADING

Module 6: Object Detection: R-CNN Family

Locked

6.1Object Detection: R-CNN FamilyREADING

Full Syllabus Gated (10+ Modules)

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Enroll to unlock all 12 modules, 12 coding labs, automated graded quizzes, solution walk-throughs & verified certificate.

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Lead Instructor & Mentor

Instructor

Passionate engineer and educator specializing in core algorithms, production backend systems, and modern AI engineering.