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COURSE

Deep Learning & Computer Vision

Build neural networks and computer-vision systems using modern deep-learning workflows.

PythonPyTorchNeural NetworksCNNComputer Vision
Admissions Open
₹32,999 Indicative fee — update before production launch

Duration16 Weeks
FormatOnline / Classroom
LevelAdvanced
ScheduleWeekday / Weekend batches

Course overview

Learn the foundations of neural networks, training loops, convolutional networks, transfer learning and practical computer vision using PyTorch-style workflows.

What you will be able to do

Understand neural-network training
Build image classifiers
Use transfer learning
Evaluate deep-learning models
Create an applied vision demo

Curriculum

Neural Network Foundations3 Weeks
Tensors
Forward/backprop concepts
Training loops
Deep Learning Practice3 Weeks
Optimization
Regularization
Experiment tracking concepts
Computer Vision4 Weeks
CNNs
Image augmentation
Transfer learning
Applied Vision3 Weeks
Classification
Detection concepts
Evaluation
Capstone3 Weeks
Dataset preparation
Model training
Demo application

Projects you can build

Plant Disease Classifier

Image classification pipeline using transfer learning.

Visual Quality Inspection

Prototype for classifying acceptable vs defective images.

Frequently asked questions

Do I need prior experience?

The entry requirement depends on the course level. Beginner courses start from fundamentals; intermediate tracks expect basic programming or domain knowledge.

Will I build projects?

Yes. Every course includes practical labs and one or more projects designed to help you demonstrate the skills you learn.

Is a certificate included?

Yes. A completion certificate can be issued after meeting attendance, assessment and project requirements.

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