Build practical chatbot development skills using Keras, TensorFlow, and Natural Language Processing (NLP). Designed for learners who want hands-on experience creating conversational AI, this course guides you from text preprocessing and feature extraction to neural networks, generative chatbots, and advanced attention mechanisms.

You’ll prepare and normalize text data using Bag of Words, Count Vectorizer, stop word removal, stemming, and lemmatization. You’ll compare TF-IDF and Word2Vec, apply machine learning models to classify text, and implement chatbot workflows through hands-on Keras coding. As you progress, you’ll design and train neural networks, develop generative chatbot models, and apply attention mechanisms to sequence models for more accurate, context-based responses. You’ll also train models on large datasets and evaluate chatbot performance to improve response generation. What makes this course distinctive is its progressive, implementation-focused approach, connecting essential NLP techniques with advanced chatbot architectures and evaluation strategies. Enroll to gain the practical skills needed to design, implement, and assess context-aware chatbot systems for real-world applications.