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.
What you'll learn
develop deep learning models using Keras and TensorFlow
implement data preprocessing techniques
create chatbots and perform sentiment analysis
execute image classification and face recognition projects
optimize and evaluate neural networks
Course objectives
provide hands-on experience in deep learning
help learners understand and implement advanced neural network architectures
prepare participants for real-world applications in AI