PyTorch for Deep Learning Professional Certificate

My coursework from the PyTorch for Deep Learning Professional Certificate by DeepLearning.AI.

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Course 1: PyTorch Fundamentals

Module	Topics
1. Foundations	Simple NNs, Activation Functions, Tensor Operations
2. Image Classification	MNIST Classifier, Training Workflows
3. Data Management	Custom Datasets, Image Data Handling
4. CNNs	Convolutional Networks, Model Debugging

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Course 2: PyTorch for Deep Learning

Module	Topics
1. Hyperparameters	Tuning, Schedulers, Optuna, Efficiency
2. Computer Vision	Image Preprocessing, Torchvision, Transfer Learning
3. NLP	Tokenization, Embeddings, Text Classifiers, Fine-tuning
4. Optimization	DataLoaders, PyTorch Lightning

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Course 3: Advanced Architectures & Deployment

Module	Topics
1. Advanced CNNs	Similarity Learning, DenseNet
2. Interpretability	CNN Visualization, Saliency Maps, Stable Diffusion
3. Transformers	Self-Attention, Decoder Models
4. Deployment	MLFlow, ONNX, Pruning, Quantization

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Setup

# Using uv (recommended)
uv sync

# Or pip
pip install -r requirements.txt

Each module contains labs, assignments, and helper utilities.