Chatbots with Keras & NLP: Build & Evaluate

Overview

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.

Syllabus

Foundations of Text and Preprocessing

This module introduces learners to the essential foundations of Natural Language Processing (NLP) for chatbot development. It covers preprocessing techniques, feature extraction methods, and the basics of text normalization that ensure clean and structured input for building intelligent chatbot systems.

Classical and Neural Approaches

This module transitions from classical machine learning techniques to neural approaches for chatbot building. Learners will explore vectorization strategies like TF-IDF and Word2Vec, implement models using Keras, and gain practical experience with hands-on coding and neural network fundamentals.

Building Advanced Chatbots

This module delves into advanced chatbot architectures, including generative models with attention mechanisms and performance evaluation strategies. Learners will master cutting-edge NLP methods to design, implement, and evaluate context-aware and high-performing chatbot systems.