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In this module, we will delve into the fundamentals of chatbots, covering their history, applications, and the various types, including rule-based and self-learning chatbots. We will also explore the architecture of machine learning-based chatbots and their revolutionary features. By the end of this module, you will gain hands-on experience in developing a conversational chatbot using Python, focusing on data input, text processing, and response generation.

In this module, we will explore the advanced concepts of chatbot development using deep learning. You will learn the differences between conventional and AI chatbots, as well as the distinctions between generative and retrieval chatbots. We will discuss the benefits of deep learning chatbots in fields such as medicine, business, and e-commerce. This module will also guide you through the architecture and development of deep learning-based chatbots, including steps for data preparation, vocabulary development, and model training. By the end of this module, you will have the skills to build and test a sophisticated deep learning chatbot using Python.

In this module, we will cover the fundamentals of AWS and its services, focusing on Amazon Lex for chatbot development. You will gain an in-depth understanding of the features and benefits of using Amazon Lex. The module will guide you through the step-by-step process of developing a chatbot with Amazon Lex and AWS Lambda, including creating intents, utterances, and slots. We will also cover integration with Twilio for deployment on WhatsApp and using Boto for advanced responses. By the end of this module, you will be able to build, test, and deploy a complete chatbot with enhanced user experiences.