Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
AI & Machine Learning for Beginners: Build a Python Chatbot
Rating: 5.0 out of 5(1 rating)
9 students

AI & Machine Learning for Beginners: Build a Python Chatbot

Beginner-Friendly AI & Machine Learning: Create a Python Chatbot Using Bag of Words, Naive Bayes, and GUI Tools
Created byFaruk Hasan
Last updated 1/2026
English

What you'll learn

  • Scrape and clean real-world text data using Python, Pandas, and NumPy.
  • Convert text into features using the Bag of Words model and basic NLP techniques
  • Build rule-based and AI-powered chatbots using Python and a Naive Bayes classifier
  • Create a GUI chatbot app using Gradio for a user-friendly interface

Course content

6 sections37 lectures9h 22m total length
  • Introduction11:40

Requirements

  • Students should have a basic understanding of Python, including variables, loops, functions, and conditionals. No software installation is needed—we’ll be using Google Colab for all coding. No prior experience with AI or machine learning is required, just a curiosity to learn and build chatbots!

Description

Unlock the Power of AI & Python — Build Your Own Machine Learning Chatbot from Scratch!

Curious how basic Machine Learning chatbots understand human language? Want to learn AI and Machine Learning by building a real project—without needing advanced math or complicated theory?

This beginner-friendly, project-based course is the perfect starting point!

What You’ll Build

You will learn step-by-step how to create a fully functional AI chatbot using Python. We start simple and gradually move toward real machine learning:

Step 1 — Build a rule-based chatbot

  • Use Python basics like variables, lists, dictionaries, conditions, and loops

  • Understand how simple chatbots match user inputs

  • Create multiple versions and improve them step by step

Step 2 — Add real AI using Machine Learning

  • Scrape and clean text data

  • Apply Bag of Words for text vectorization

  • Train a Naive Bayes classifier to make predictions

  • Build an ML pipeline that understands user intent

Step 3 — Create a simple GUI

  • Use Gradio to wrap your chatbot in a friendly, interactive interface

  • Run your AI app in the browser

  • Share your chatbot easily with others

Tools & Technologies You’ll Learn

We use Google Colab, so there’s nothing to install. Just open your browser and start coding.

You’ll get hands-on experience with:

  • Python

  • Pandas

  • NumPy

  • Scikit-learn

  • BeautifulSoup (for data scraping)

  • Gradio (for GUI)

  • Machine Learning fundamentals

Perfect for anyone exploring AI, NLP, machine learning, data science, or Python applications.

Why This Course Is Perfect for Beginners

  • No AI or ML background needed

  • No complex math

  • No software installation

  • Learn by building, not memorizing

  • Clear explanations and real-world examples

Whether you're a student, beginner programmer, hobbyist, or future AI engineer, this course builds the right foundation to move into more advanced AI and ML topics.

By the end of this course, you will be able to:

  • Understand how rule-based and ML-based chatbots work

  • Clean and prepare real text data

  • Apply Bag of Words and Naive Bayes

  • Build a machine learning model for text classification

  • Deploy an AI chatbot with an interactive UI

  • Think like an AI developer and start your journey in ML

Join today and start building your first AI-powered chatbot with Python!
No prior experience. No installations. Just hands-on learning and real results.

Who this course is for:

  • This course is ideal for anyone with basic Python experience who wants to explore the fundamentals of artificial intelligence. Whether you're a middle or high school student, a beginner coder, or a curious learner, you'll gain hands-on experience building chatbots while learning core AI concepts in a fun and practical way—no advanced math or prior AI knowledge needed.