Python Programming & AI Curriculum

Course Overview

🎯 Audience
Beginners → aspiring AI developers, web developers and robotics enthusiasts.

🚀 Outcome
Learn Python, work with data, build web applications, create AI/ML solutions and control hardware.

🚀 Introduction to Python: Core Concepts

Python is a high-level programming language known for its readability and large ecosystem. It is widely used in web development, data science, AI, automation and robotics.

Core Fundamentals

Variables & Case Sensitivity: Store data. Python is case-sensitive, so Name and name are different.
Python Data Structures: Tools for storing and organising information, including lists, tuples, sets and dictionaries.
Lambda Functions: Small anonymous functions useful for short operations.
Data Types: Integer, float, string, Boolean and collections such as lists.
Type Casting: Convert data from one type to another, for example str(123).
If / Else: Used for decision-making in Python programs.
Import: Bring functionality from Python modules and libraries into your program.

Test your Python knowledge:

Python Fundamentals Quiz Python Knowledge Quiz Python String Quiz Python GCSE Quiz

🤖 Python for AI

Learn how the Python concepts you already know are used with data, Machine Learning, Deep Learning and Generative AI.

Python

→

Data

→

NumPy / Pandas

→

Machine Learning

→

Deep Learning

→

Generative AI

🤖 Learn Python for AI

📚 Python Course Modules

Module 1: Basic Python Syntax

What is Python?
Installing Python, IDEs and Jupyter
Variables and data types
Input and output
Arithmetic, comparison and logical operators

Projects: Calculator, temperature converter, personal introduction script.

Module 2: Control Flow & Functions

Conditionals
Loops
Functions
Recursion

Projects: Number guessing game, factorial, Fibonacci and prime checker.

Module 3: Data Structures

Lists, tuples, sets and dictionaries
Comprehensions
String manipulation
Iterating collections

Projects: Contact book, word counter, Rock-Paper-Scissors.

Module 4: Intermediate Python

File handling
Error handling
Object-oriented programming
Modules and packages

Projects: Expense tracker, to-do list, bank account simulation.

Module 5: Web Development with Django

Django setup
Views, URLs and templates
Models and databases
Forms and static files
Authentication
REST APIs

Projects: Blog app, to-do app with login, REST API for notes.

Module 6: Python for Data Handling

NumPy
Pandas
Matplotlib
Seaborn

Projects: Sales analysis, student performance analysis and data visualisation.

Module 7: Introduction to AI with Python

AI, ML and DL overview
Scikit-learn
Classification
Regression
Clustering
Model evaluation

Projects: Grade predictor, spam filter, K-means clustering.

Module 8: Deep Learning & Neural Networks

Neural networks
Layers and activation functions
Loss functions and optimisers
TensorFlow / Keras
Overfitting and regularisation

Projects: MNIST digit recognition and sentiment analysis.

Module 9: Python in Robotics & Hardware

                Hardware:

                Raspberry Pi, Arduino, ultrasonic sensors,
                IR sensors, servo/DC motors, DHT11 and
                robotics kits.

                Software:

                Raspberry Pi OS, Thonny, VS Code,
                gpiozero, RPi.GPIO, pyserial, ROS,
                MQTT and Flask.

GPIO basics
Sensor and actuator control
IoT with Python
Introduction to ROS

Projects: LED blink, distance sensor, smart home IoT and line-following robot.

Module 10: Final Capstone Project

AI-powered Django web application
Robotics / IoT project
Deep learning project
Chatbot or image classifier
Full-stack Web + AI + Robotics project

🔄 Module 11: Python Iterators

Learn how Python iterators work and how Python processes collections of data step by step.

Learn Python Iterators →