Basics of Chatbots with Machine Learning & Python

Packt via Coursera

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Overview

This course offers a thorough exploration of chatbots and their development using machine learning and Python. Youll start with an introduction to chatbots, including their history and various applications across industries. The course then delves into the distinctions between chatbots, virtual assistants, and personal assistants, providing a comprehensive overview of their respective benefits and challenges. As you progress, youll focus on machine learning-based chatbots, exploring their architecture, features, and the revolutionary impact of ML on customer service, healthcare, and more....

Syllabus

Introduction

In this module, we will introduce the course, outlining the instructors credentials and AI Sciences' expertise. Well also provide a brief overview of the course structure and delve into key chatbot technologies, including machine learning-based and conversational chatbots.

Overview of Chatbots

In this module, we will explore the origins of chatbots, their advancements, and their modern-day uses. You'll learn how chatbots differ from virtual and personal assistants, and investigate the various types, benefits, and challenges associated with them.

Machine Learning-Based Chatbots

In this module, we will dive into machine learning-powered chatbots, covering their architecture and the critical role of the Natural Language Toolkit (NLTK) in development. You'll gain hands-on experience building a rule-based chatbot, learning about various ML features that enhance chatbot performance.

Project: Conversational Chatbot Development with Machine Learning

In this module, we will guide you through a complete project, where youll develop a conversational chatbot using the NLTK library. From gathering data to creating intelligent responses, youll build and test a fully functioning chatbot capable of engaging users in conversation.