Deep Learning Course — Build Neural Networks
Go beyond classical ML into the deep learning that powers vision, speech and language. Master neural networks, backpropagation, CNNs and transformers — and build and train real deep models with TensorFlow/Keras and PyTorch. Live small-batch classes for college students, professionals and serious teens.
Quick answer
Modern Age Coders' Deep Learning course teaches neural networks hands-on with TensorFlow/Keras and PyTorch. You cover perceptrons and multi-layer networks, activation functions, forward and backpropagation and gradient descent, then applied deep learning — CNNs for images, RNNs/LSTMs for sequences and an introduction to transformers and attention. You build and train real deep models on real data. Classes are live in small batches of 5–8 with a mentor, and group plans start at ₹1,499/month. Every learner gets a free demo class first.
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The Deep Learning Stack
What You'll Build & Master
From the neuron to the transformer — the architectures behind modern AI, all hands-on.
Neural Networks
Neurons, layers, activations, loss functions and backpropagation — how networks actually learn, built from scratch and in Keras.
CNNs for Vision
Convolutional neural networks for image classification and recognition — filters, pooling and transfer learning.
Sequences & Transformers
RNNs and LSTMs for sequence data, then attention and transformers — the architecture behind today's language models.
The Deep Learning Roadmap
From Your First Neuron to a Trained Network
Mentor-led stages — each ends with a deep model you built and trained.
Neural Net Basics
Perceptrons, layers, activations, loss and gradient descent — and your first neural network.
Training Deep Nets
Backpropagation, optimisers, regularisation, overfitting and tuning with Keras and PyTorch.
CNNs & Vision
Convolutions, pooling, image classification and transfer learning on real image datasets.
Transformers & Project
Sequences, attention and transformers, plus a deep-learning capstone for your portfolio.
Explore More
Related AI & ML Courses
Part of our full AI & ML cluster — explore any or book a free demo.
Why Deep Learning
Why Deep Learning Powers Modern AI
Almost every AI breakthrough you've heard of — image recognition, voice assistants, language models like ChatGPT — runs on deep learning. By stacking layers of neurons, deep networks learn their own features directly from raw data, which is why they outperform classical methods on images, audio and text. Learning deep learning means learning the engine behind the AI revolution.
The most valuable AI skill
Deep learning expertise is among the most in-demand and highly paid AI skills. ML engineers and AI engineers who can design, train and debug neural networks are exactly who product companies and research teams want. Our course builds that skill hands-on with the TensorFlow and PyTorch frameworks the industry actually uses.
From neurons to today's frontier
We take you from a single neuron all the way to transformers — the architecture behind large language models and modern generative AI. Pair this with our computer vision and NLP tracks to specialise. New to ML? Start with Machine Learning for Beginners first.
Simple Pricing
Deep Learning Course Fees
Transparent monthly plans, no hidden charges. Start with a free demo.
Group Batch
- 5–8 learners per batch
- Live deep-model building
- Recorded class access
- Completion certificate
Mini Batch
- Only 3–4 learners per batch
- More personal mentoring
- Recorded class access
- Project guidance & certificate
1-on-1 Personal
- Dedicated personal mentor
- Custom pace & schedule
- Recorded class access
- Priority project & career prep
Learner Voices
What Deep Learning Learners Say
"Building a CNN that actually recognises images was a wow moment. The way they explain backprop and then code it in Keras made deep learning real for me."
"As a working dev, I wanted real DL skills, not theory. Training models in PyTorch with a mentor reviewing my code was exactly right."
"We went from a single neuron to a small transformer. The roadmap is clear and every stage ends with a model I built."
Ready to build and train neural networks?
Book a free deep learning demo today — train a model with a mentor before you spend a rupee.
Book a Free Deep Learning DemoGood To Know
Frequently Asked Questions
Deep Learning is a branch of Machine Learning that uses multi-layer neural networks to learn patterns directly from raw data like images, text and audio. Unlike classical ML, it learns its own features, which is why it powers computer vision, speech recognition and large language models. Our course teaches it hands-on with TensorFlow/Keras and PyTorch.
Comfort with Python and basic Machine Learning concepts (training, evaluation) helps a lot. If you are new, we recommend our Machine Learning for Beginners course first, or we cover the essentials before the deep-learning deep dive after your free demo.
You build and train real models — a neural network classifier, a CNN for image recognition, a sequence model for text, and a small transformer-based project — learning to design architectures, train them and evaluate results. You finish with a deep-learning project portfolio.
Both. We teach the concepts framework-agnostically and use TensorFlow/Keras for fast, readable model building plus PyTorch for flexibility and research-style code — see our TensorFlow & PyTorch track — so you're comfortable with the two most-used deep-learning frameworks.
Group classes start at ₹1,499 per month for 2 classes a week. A Mini Batch of 3–4 students is ₹2,499 per month, and 1-on-1 mentoring is ₹4,999 per month. A free demo class is available first.
Yes. Classes are live in small batches with a mentor who reviews your models and code in real time, and every topic is hands-on in Python/Colab with GPU where needed. All sessions are recorded for revision.