Deep Learning with Python: CNN, ANN & RNN

This Specialization provides a practical, project-driven pathway to mastering deep learning with Python. Learners will explore Convolutional Neural Networks (CNNs), Artificial Neural Networks (ANNs), and Recurrent Neural Networks (RNNs) with LSTM layers through real-world case studies in image recognition, customer churn prediction, and stock price forecasting. Each course emphasizes both theory and hands-on coding using TensorFlow and Keras, ensuring you graduate with job-ready AI skills and the ability to apply neural networks to authentic business and financial problems

• Design and evaluate CNN, ANN, and RNN models using Python with TensorFlow and Keras
• Apply preprocessing, feature engineering, and optimization on real datasets
• Implement deep learning solutions for image recognition, churn prediction, and stock forecasting

• Basic computer and internet skills
• Ability to read course instructions in English and complete practice activities