Data Science & Machine Learning

Deep Learning & Neural Networks Internship

Dive into the depths of Artificial Intelligence. Build and train complex neural networks for vision, text, and generative tasks.

5 Months On-site Advanced
Neural NetworksPyTorch & TensorFlowComputer VisionTransformers
Deep Learning AI
Deep LearningAdvanced AI Systems
What You'll Learn

Comprehensive Curriculum

Neural Network Fundamentals

  • Perceptrons
  • Backpropagation
  • Activation Functions
  • Optimizers (Adam, SGD)
  • Regularization
  • Loss Functions

Computer Vision Architectures

  • CNNs (Convolutional Neural Networks)
  • ResNet
  • YOLO/SSD for Object Detection
  • Segmentation (U-Net)
  • Transfer Learning
  • Image Augmentation

Sequence Models

  • RNNs & LSTMs
  • GRU
  • Attention Mechanism
  • Transformers (BERT/GPT)
  • Time Series Forecasting
  • Seq2Seq

Advanced Training

  • Hyperparameter Tuning
  • Distributed Training
  • Mixed Precision Training
  • Model Interpretability
  • Deployment
  • Research Paper Implementation
Live Projects

Build Real-World DL Systems

Brain Tumor Detection
Brain Tumor Detection

Build a CNN to detect tumors in MRI scans with high accuracy using medical imaging.

PyTorchMedical ImagingCNNFastAPI
Neural Style Transfer
Neural Style Transfer

Create an app that applies the artistic style of one image to another using deep learning.

TensorFlowVGG19GradioPython

Prerequisites

  • Strong Python
  • Calculus/Linear Algebra basics
  • ML fundamentals

Career Outcomes

  • Build deep neural networks
  • Read research papers
  • Train models on GPUs
  • Deploy DL models
Tools You'll Master

Industry Standard Tools

PyTorch
Deep Learning
TensorFlow
ML Framework
Jupyter
Notebooks
Colab/Kaggle
GPU Cloud
Weights & Biases
Experiment Tracking
📜

Deep Learning Specialist Certificate

Performance-based stipend from registered Pvt. Ltd. company

Apply Now

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