Chatbots with Keras & NLP: Build & Evaluate

Learners will be able to analyze text data, implement preprocessing techniques, apply vectorization methods, design machine learning and neural models, and evaluate advanced chatbot systems. This hands-on course guides learners step by step through the process of building chatbots with Keras and TensorFlow, ensuring both foundational and advanced skills are developed. The course begins with essential NLP preprocessing techniques, including Bag of Words, TF-IDF, stop word removal, stemming, and lemmatization. Learners then progress to applying classical ML models, TF-IDF, and Word2Vec embeddings before mastering neural networks and generative chatbot architectures. In the final module, learners explore attention mechanisms, advanced architectures, and evaluation strategies to create context-aware, high-performing conversational AI. By completing this course, learners gain practical coding experience, industry-ready workflows, and the ability to confidently design and deploy chatbots for real-world applications. Unlike purely theoretical courses, this program emphasizes hands-on implementation, progressive complexity, and evaluation-driven learning—making it uniquely suited for those who want to design, implement, and assess intelligent chatbots with cutting-edge NLP techniques

• Apply preprocessing and vectorization in NLP
• Build ML and neural chatbot models with Keras
• Evaluate and optimize conversational AI systems

• No deep prior experience is required, but basic computer and internet skills are helpful
• Ability to read course instructions in English and complete short practice activities