Deep Learning (IIT Kharagpur)

About this course

This is NPTEL's flagship deep learning course, developed by IIT Kharagpur — one of India's premier engineering institutions. You'll learn the mathematical foundations and practical techniques that power modern AI systems, from neural networks to convolutional and recurrent architectures. Whether you're preparing for a tech career or building AI skills for your current role, this course gives you the rigorous foundation that industry expects.

What you'll learn

• Build and train neural networks from scratch, understanding backpropagation and gradient descent in depth
• Design convolutional neural networks (CNNs) for image recognition and computer vision tasks
• Implement recurrent neural networks (RNNs) and LSTMs for sequence modeling and time-series prediction
• Apply regularization techniques to prevent overfitting and improve model generalization
• Work with real datasets, debug training issues, and evaluate model performance using industry-standard metrics
• Understand the theoretical reasoning behind modern deep learning architectures
• Deploy and optimize deep learning models for practical applications

Who this is for

You're ideal for this course if you have a solid grasp of linear algebra, calculus, and basic machine learning concepts, and you're ready to go deeper. This is intermediate-level work — not a casual intro, but not a PhD seminar either. You'll need to write code and work through math, but you'll have the structure and explanation you need to succeed.

• Engineering students — build a competitive edge in campus placements and internships at AI-driven companies
• Working professionals transitioning to AI — prove hands-on expertise to recruiters and accelerate your career pivot

Prerequisites

You should be comfortable with linear algebra (vectors, matrices, eigenvalues), calculus (partial derivatives, chain rule), and have completed a basic machine learning course or equivalent self-study. Coding experience in Python is essential. If you haven't touched these topics, consider a foundational ML course first — this one assumes you're ready to go deep.

Why this matters for Indian learners

Deep learning skills are in acute demand across India's tech hubs. Major Indian tech companies — from Flipkart and Amazon to Ola and Paytm — are building AI teams, and deep learning engineers command salaries 30–50% higher than general software developers. NPTEL's reputation means a certificate from this course carries weight in Indian hiring processes, especially for roles at startups and established tech firms that value IIT credibility.

Frequently asked questions

Is this course really free?

Yes. You can audit the entire course for free and access all lectures and materials at no cost. NPTEL offers a paid certificate if you want official proof of completion — that's optional.

How long will it take to complete?

The course is designed as 48 hours of structured content. If you study 8–10 hours per week, you'll finish in 5–6 weeks. Most learners take longer because they work through assignments and projects carefully, which is where the real learning happens. Budget 2–3 months if you're working full-time.

Will I get a certificate?

Yes. You can earn a certificate from NPTEL after completing the course and passing the assessment. The certificate is free if you meet the cutoff; an elite certificate (for higher scores) requires a small fee. Both are recognized by Indian employers and academic institutions.