Deep Learning & Neural Networks

Deep learning powers today's most impressive AI systems. This comprehensive 3-month course takes you from neural network basics to state-of-the-art architectures including Transformers, GANs, and Diffusion models.

With 48 live Zoom sessions (4 days/week), you will gain deep expertise using both PyTorch and TensorFlow, maximizing your career flexibility. Every concept is reinforced with hands-on implementation and real projects.

Perceptrons & activation functions
Forward propagation & backpropagation
Gradient descent & optimization algorithms
Regularization: dropout, batch norm, L1/L2
PyTorch fundamentals & tensor operations
TensorFlow/Keras fundamentals

Convolutions, pooling & architectures
Popular CNNs: ResNet, EfficientNet, ViT
Transfer learning & fine-tuning
Object detection: YOLO family
Image segmentation
Practical CV projects

RNNs & LSTMs deep dive
Attention mechanism explained
Transformer architecture from scratch
BERT, GPT & their variants
Text classification & NER
Building a mini-GPT

Autoencoders (standard & VAE)
GANs: architecture & training
Diffusion models explained
Reinforcement Learning basics
Model optimization & ONNX export
Capstone: end-to-end DL project

What You'll Learn

Build neural networks with both PyTorch and TensorFlow
Implement and train CNNs, RNNs, and Transformers from scratch
Understand the mathematics behind every architecture
Fine-tune pre-trained models for custom tasks
Build generative models (GANs, Diffusion)
Deploy deep learning models to production

Tools & Technologies You'll Master

PyTorch

TensorFlow

Keras

Hugging Face

ONNX

Weights & Biases

Python knowledge and basic ML concepts are required. Our Python and ML A-Z courses are recommended preparation.

Live Zoom classes, Monday to Thursday, 7:00 PM to 8:30 PM IST. 4 days per week, 90 minutes each.

₹34,999 ₹49,999 30% OFF

Duration 3 Months
Next Batch Jul 6, 2026
Timing Mon-Thu 7:00PM-8:30PM (Zoom)
Mode Live on Zoom
Level Intermediate
Sessions 48 sessions
Certificate Yes

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Module 1 Neural Network Fundamentals (Week 1-3)

Module 2 Convolutional Neural Networks (Week 4-6)

Module 3 Sequence Models & Transformers (Week 7-9)

Module 4 Generative Models & Advanced Topics (Week 10-12)

What You'll Learn

Tools & Technologies You'll Master

What are the prerequisites?

What is the class schedule?

Ready to build with AI?