This Specialization provides an end-to-end, hands-on learning experience in building and deploying deep learning models using Keras and TensorFlow. Learners will work on real-world projects in chatbot development, sentiment analysis, image classification, and face recognition. Each course guides participants from data preprocessing to advanced neural network architectures, emphasizing model optimization, evaluation, and deployment. By completing the program, learners will gain job-ready AI skills applicable across NLP, computer vision, and applied machine learning domains.

Applied Learning Project

Learners will apply deep learning techniques to real-world datasets, building chatbots, sentiment analysis tools, image classifiers, and face recognition systems using Keras. Each project is designed to simulate authentic industry challenges, enabling learners to implement and refine neural network models from data preparation to evaluation.