Python Basics

The Python Basics module introduces learners to one of the most powerful and widely used programming languages in the world. Designed for absolute beginners, this course focuses on practical, real‑world Python skills that support AI, automation, data handling, and creative digital workflows.

Learners will explore Python step‑by‑step, from understanding basic syntax to writing functional programs. The module emphasises hands‑on learning, problem‑solving, and building confidence through small projects. By the end of the course, students will be able to write clean, structured Python code, automate simple tasks, manipulate data, and understand how Python powers AI systems.

This module serves as a foundation for advanced Gleeborg pathways, such as AI Automation, Data-Driven Content Creation, and AI-powered Sound & Video workflows.

Course Modules

Module 1 — Introduction to Python

• What Python is and why it’s popular

• Installing Python & setting up the environment

• Writing your first Python script

• Understanding the Python interpreter

  
  

Module 2 — Variables, Data Types & Operators

• Strings, integers, floats, booleans

• Basic operations & expressions

• Type conversion

• Input/output functions

  
  

Module 3 — Control Flow

• If/else statements

• Logical operators

• Writing decision‑based programs

• Practical exercises

  
  

Module 4 — Loops & Iteration

• For loops

• While loops

• Loop control statements

• Real‑world looping tasks

  
  

Module 5 — Functions & Modular Programming

• Defining and calling functions

• Parameters & return values

• Code organisation & reusability

• Building simple utilities

  
  

Module 6 — Working With Data

• Lists, tuples, dictionaries, sets

• Basic data manipulation

• Reading and writing files

• Intro to JSON

  
  

Module 7 — Python for Automation

• Automating repetitive tasks

• Using Python scripts for productivity

• Intro to libraries (os, datetime, requests)

• Mini automation projects

  
  

Module 8 — Python & AI Foundations

• How Python powers AI

• Intro to libraries like NumPy & Pandas (beginner-friendly)

• Simple data operations

• Understanding AI workflows

  
  

Module 9 — Debugging & Best Practices

• Common errors and how to fix them

• Clean code principles

• Commenting & documentation

• Version control basics (Git intro)

  
  

Module 10 — Capstone Project

• Students build a functional Python program

• Examples:

  • A task automation script

  • A simple calculator

  • A data‑processing tool

  • A mini chatbot

• Final presentation for certification

  
  

Course Outline (Week‑by‑Week)

Job Outcomes & Career Pathways

Completing this module prepares learners for entry‑level technical roles and provides a strong foundation for advanced AI and automation careers.

Entry-Level Tech Roles

• Junior Python Developer

• Python Support Technician

• Automation Assistant

• Data Entry Automation Specialist

• QA/Testing Assistant

  
  

AI & Automation Pathways

• AI Workflow Designer (with further study)

• Machine Learning Assistant

• Data Analyst (entry-level)

• AI Automation Specialist

  
  

Creative & Digital Roles Enhanced by Python

• AI‑powered Content Creator

• Technical Digital Marketer

• Data‑driven Social Media Strategist

• Creative Automation Specialist

  
  

Freelance & Entrepreneurial Paths

• Python Automation Freelancer

• Data Cleaning & Processing Services

• AI‑powered Virtual Assistant

• Script Developer for small businesses

  
  

Skills Graduates Will Demonstrate

• Ability to write and understand Python code

• Problem‑solving and logical thinking

• Ability to automate simple tasks

• Understanding of data structures and file handling

• Introductory knowledge of Python for AI

• Confidence to progress into advanced Gleeborg modules