Deep Learning Bootcamp

The Deep Learning (DL) Bootcamp is an advanced, project-driven training program that teaches you how to build powerful neural-network applications using TensorFlow, PyTorch, Keras, and modern GPU-accelerated workflows. But before we dig into the applications, I want to make sure you have a solid understanding of the foundational concepts behind DL. This bootcamp focuses on the math foundation (20%) and building real deep learning systems (80%)—the kind companies pay big money for—through a collection of exciting, hands-on projects. Real-World Deep Learning Projects You Will Build - Lip Reading System — train a CNN+LSTM or 3D CNN model to read lips from video clips. - Face Detection + Recognition Pipeline — real-time detection with CNNs and embeddings. - Sign Language Interpreter — gesture classification using sequence models. - Image Classification App — CNN-based model deployed as a web app. - Text Sentiment Analyzer — RNN/Transformer-based NLP model. - GAN Image Generator — generate synthetic images with a simple GAN. - Audio Classification or Speech Comma You’ll learn: - Neural network fundamentals (forward/backpropagation, optimization) - CNNs, RNNs, LSTMs, Attention, Transformers - GPU training workflows - Data pipelines, augmentation, and debugging complex models - Model serving, ONNX, and deploying DL systems By the end, you’ll have a strong portfolio of impressive, real-world DL projects and the full skill set needed to build modern AI applications used in industry today.