Deep learning, neural networks, and AI applications for real-world problems
Dive into the world of Artificial Intelligence and Machine Learning. Learn to build intelligent systems that can learn from data and make predictions.
Neural networks, CNNs, RNNs, transfer learning, and advanced deep learning architectures
Backpropagation, activation functions, optimization algorithms, and network architectures
Text processing, sentiment analysis, transformers, BERT, GPT, and language models
Image processing, object detection, segmentation, OpenCV, and visual recognition systems
Build and deploy ML models, TensorFlow 2.x, Keras API, and production deployment
Dynamic computation graphs, autograd, model training, and research-oriented ML development
3 Months (Weekday & Weekend batches available)
Python programming knowledge. Basic mathematics and statistics.
