Knowledge Enhancement / App Development
Python Programming with AI
Build programming confidence from the ground up with Python: variables, logic, data structures, functions, files, OOP and AI-assisted coding with GitHub Copilot.
Program Overview
This Python training program is designed to build strong programming confidence from the ground up. It introduces participants to Python in a clear, practical and structured way, helping them move from basic understanding to writing simple, useful programs.
The training emphasizes hands-on learning, clean coding habits, logical thinking and real-world problem-solving using core Python concepts such as variables, conditions, loops, data collections, functions, files and basic object-oriented programming, and closes with AI-assisted Python development using GitHub Copilot.
Learning Objectives
- Understand Python setup, syntax, variables and basic operators
- Use conditions, loops, lists, dictionaries and strings in simple programs
- Create basic functions and work with simple files
- Understand simple error handling and basic object-oriented concepts
- Use GitHub Copilot to write, refactor and debug Python code
Audience Profile
Beginners with basic computer knowledge and comfort with files, folders and command-line concepts. No prior Python experience is required; basic programming exposure is helpful but not mandatory.
Course Syllabus
Module 1: Getting Started with Python
Topics
- What is Python and its common uses
- Install Python, use IDLE or VS Code and run a program
- Indentation, comments and clean naming
Module 2: Python Basics
Topics
- Variables: storing numbers and text
- Data types: numbers, strings and Boolean values
- Arithmetic, comparison and logical operators
- Input, print and formatted messages
Module 3: Control Flow and Problem Solving
Topics
- if, elif and else statements
- for and while loops, range
- break, continue and pass
Labs & Practice
- Print statements and small calculation programs
- Practice conditions and loops
Module 4: Built-in Data Structures
Topics
- Lists: create, add, remove and read items
- Tuples: create and access values
- Dictionaries: store, read and update key-value pairs
Module 5: Strings and Text Processing
Topics
- Read characters, slicing and joining text
- Change case, remove spaces, find and replace
- Check length, search words and split text
Module 6: Functions, Modules and Reusable Code
Topics
- Write, call and return from functions
- Default values and keyword arguments
- Import built-in modules and create a custom module
Module 7: File Handling and Exception Management
Topics
- Read, write and append to files
- File names and folder paths
- try and except, safe error messages
Labs & Practice
- Lists, dictionaries and functions practice
- Read and write small text files
Module 8: Object-Oriented Programming with Python
Topics
- Classes and objects
- Attributes, methods and constructors
- Encapsulation, inheritance and method overriding basics
Module 9: Intermediate Practices, Libraries and Automation
Topics
- List and dictionary comprehension basics
- enumerate, zip and sorted
- math, random, datetime and os libraries
- Packages and pip
- Automating simple file and text tasks
Module 10: Python Development with GitHub Copilot
Topics
- Faster code suggestions and completing functions
- Refactor code and add useful comments with Copilot
- Review AI-generated code safely
Labs & Practice
- Build utility scripts with Copilot
- Debug common errors with Copilot