Python AI Course with Chatbots & Machine Learning

Module 1 (Python Programming)

Introduction to Python

• What is Python and why use it for AI?
• Setting up Python and an IDE (e.g., Thonny, VS Code, or Google Colab)
• Writing your first Python program
• Input/output and basic syntax

Python Fundamentals

• Variables, Data Types, and Operators
• Conditional Statements (if, elif, else)
• Loops (for, while)
• Functions and Scope
• Lists, Tuples, and Dictionaries
• Introduction to error handling (try-except)

Data Handling and Visualization

• Reading and writing files (CSV basics)
• Introduction to NumPy for numerical operations
• Introduction to Pandas for data handling
• Basic data visualization using Matplotlib

Module 2 (AI and Machine Learning)

Introduction to AI and Machine Learning

• What is AI and how is Python used in it?
• AI vs. Machine Learning vs. Deep Learning
• Types of Machine Learning (Supervised, Unsupervised)
• Real-world examples (chatbots, recommendation systems)

Python Libraries for AI

• Scikit-learn: Building a simple model (e.g., iris classifier)
• Introduction to training and testing data
• Evaluating model performance (accuracy, confusion matrix)
• Optional: Brief look at TensorFlow or Keras (with visuals, no coding)

Mini AI Projects

• Project 1: Sentiment analysis with basic NLP (using pre-trained models or datasets)
• Project 2: Predicting marks or grades (Linear Regression)
• Project 3: Image classifier using a simplified dataset (e.g., hand-drawn digits via sklearn)
• Group discussion and brainstorming

Revision and Presentation

• Recap of key topics
• Group presentations of projects
• Q&A and quiz
• Feedback and certification