In this module, you will delve into the fascinating world of chatbots, covering their historical development and evolution. You will understand the basic mechanics behind how chatbots work and explore fundamental design principles essential for enhancing their performance. You will gain practical insights into building and optimizing chatbots using Amazon Lex, a leading platform for developing conversational interfaces. By the end of this module, you will have a comprehensive understanding of chatbot technology and its application across various industries.

In this module, you will focus on constructing and evaluating machine learning (ML) classifiers using crowdsourced data. You will learn how to leverage BERT (Bidirectional Encoder Representations from Transformers) in R and TensorFlow for text classification tasks. You will also gain hands-on experience in building ML models that classify text data effectively. You will learn to calculate and interpret ML performance metrics to assess classifier accuracy and reliability. By the end of this module, you will be equipped with practical skills to develop robust classifiers capable of handling diverse datasets.

This module will guide you through the process of building your own chatbot using AWS (Amazon Web Services). You will begin with an introductory conceptual video outlining chatbot creation concepts. You will dive deep into practical implementation with AWS Chatbot, learning step-by-step how to set up and configure your chatbot. You will also explore strategies to make your chatbot operational and effective. You will collaborate with classmates to exchange ideas and troubleshoot challenges, fostering a supportive learning environment. By the end of this module, you will have the skills and confidence to develop functional chatbots tailored to various applications.