Chatbots with Python and Machine Learning Online Course

Chatbots with Python and Machine Learning Online Course

This course introduces chatbots, their types, and their uses in customer service, request routing, and information gathering. You’ll compare rule-based and self-learning chatbots, explore their working mechanisms, and study the architecture of machine learning–based chatbots. Using Python and the Natural Language Toolkit (NLTK), you’ll learn package installation, corpus creation, text preprocessing, helper functions, TF-IDF implementation, and chatbot response generation. The course includes training/testing rule-based bots and building an AI-powered Q&A chatbot project. By the end, you’ll be able to design, implement, and evaluate ML-based chatbots for real-world applications.

Who should take this Course?

The Chatbots with Python and Machine Learning Online Course is ideal for Python developers, data scientists, and AI enthusiasts who want to design, build, and deploy intelligent chatbots using natural language processing and machine learning techniques. It’s also suitable for beginners interested in conversational AI, as well as professionals aiming to integrate chatbot solutions into websites, apps, or customer service platforms. Basic knowledge of Python and machine learning concepts is recommended for effective learning.

What you will learn

• Learn about chatbot types, rule-based and self-learning chatbots
• Learn text preprocessing and develop helper functions with Python
• Explore the impact and overview of the Natural Language Toolkit
• Gain hands-on practice, generate text in Python to develop chatbots
• Explore testing and training of chatbot with machine learning
• Implement term-frequency times inverse document-frequency hands-on

Course Outline

Introduction

• Course and Instructor Introduction
• AI Sciences Introduction
• Course Description
• ML-Based Chatbots
• Conversational Chatbots

Overview of Chatbots

• Module Overview
• History of Chatbots
• Applications of Chatbots
• Chatbots Versus Virtual Assistants Versus Personal Assistants
• Benefits of Chatbots
• Why Should Companies Pick Chatbots
• Chatbot Types
• Rule-Based Chatbots
• Self-Learning Chatbots
• Mechanism of Chatbots
• Challenges of Chatbots
• Quiz
• Quiz Solution

Machine Learning-Based Chatbots

• Module Introduction
• Module Overview
• Architecture of ML Chatbots
• ML Enabled Features
• Revolution with ML
• NLTK Features
• Rule-Based Chatbots
• Package Installation
• Data Input
• Word Tokens and Remove ASCII
• Remove Tags and Lemmatize
• Chatbot Greets
• Response Generation
• Wiki Search
• Developing Results
• Local Search and Wikipedia Search

Project: Conversational Chatbot Development with Machine Learning

• Module Introduction
• Project Overview and Packages
• Getting the Data
• Elimination
• Tokenization
• Lemmatization and Processed Text
• Greeting Function
• Generate Response
• Bot Finishing
• Testing the Bot