Python Fundamentals with AI Assistance
Module 1:
Getting Started with Python and AI Tools
- Setting up Python environment
(IDE/Jupyter/VS Code)
- Introduction to AI-powered coding
assistants
Module 2:
Python Basics
- Variables, data types, operators
- Input/output functions
- Using AI to explain and simplify
syntax
Module 3:
Control Structures
- Conditional statements (if, elif,
else)
- Loops (for, while)
- Using AI to generate loop examples
Functions, Data Handling, and AI Debugging
Module 4:
Functions and Modular Programming
- Defining and calling functions
- Parameters, return values
- Using AI to refactor repetitive
code
Module 5:
Data Structures
- Lists, tuples, sets, and
dictionaries
- Iterating and manipulating data
Module 6:
File Handling and Error Management
- Reading and writing files
- Exception handling (try-except)
- Using AI to debug and suggest fixes
for errors
Python Applications and AI-Driven Problem Solving
Module 7:
Python for Data and Automation
- Basics of NumPy and Pandas
- Automating repetitive tasks with
scripts
- Using AI to suggest code
improvements
Module 8: AI
in Python Development
- Leveraging AI to generate
boilerplate code
- AI for testing and optimization
Module 9:
Hands On Exercises – Python + AI Collaboration
Module 10:
Wrap-Up and Next Steps
- Recap of Python core concepts
- Best practices for using AI in
coding responsibly
- Pathways for advanced Python and AI
learning (ML, web, automation)
- Q&A and feedback
