Practical Python & AI-Assisted Coding
Master the art of directing AI to build real software — prompt patterns, agent workflows, and shipped projects that prove your skill.
The framework
Prompt-Plan-Program (PPP)
PPP is a three-stage loop: (1) Prompt — define the problem with precision; (2) Plan — architect the solution before writing a single line; (3) Program — direct AI tools to implement, then critically review and refine. The loop repeats at every level of abstraction.
How you'll learn
Text-first. Practice-heavy. No video lectures.
15-minute text lessons
Short, dense reading you can finish between meetings — not hour-long video lectures.
Hands-on exercises
Apply the framework to a realistic scenario, right in the module where you learned it.
Quizzes & assessments
Check your judgment, not just your memory — most questions are situational.
Certificate on completion
Finish a course and get a shareable certificate, automatically.
About this course
Most Python courses teach you to memorise syntax. This course teaches you to think architecturally — to plan a solution, direct an AI coding tool to write the code, and critically evaluate the output. You will build a complete, deployable automation pipeline. Every concept is introduced only when the project demands it.
The project: Automated Data Extraction & Reporting Tool
Build a Python script that reads messy CSV data, cleans it, runs analysis, and auto-generates a formatted HTML report — all directed through AI prompting with your architectural oversight.
- 1Free preview
The Prompt-Plan-Program Framework
Learn the foundational framework for AI-assisted coding — how to think architecturally before writing a single line of code.
25 min· Knowledge check· 📚 1 resource - 2
Python Fundamentals — Variables, Types & Your First Script
Understand variables, data types, and basic operations — the building blocks every Python program is made of.
30 min· Knowledge check· Coding exercise - 3
Collections & Data Structures — The ACCESS Decision Framework
Before you can choose the right data structure, you need to understand what each one does and when it shines.
30 min· Knowledge check· Coding exercise - 4
Control Flow — Loops, Conditions & Pattern Matching
Apply a systematic framework to select the optimal data structure for any problem — moving beyond memorisation to architectural thinking.
25 min· Knowledge check - 5
Functions, Modules & Type Safety
Master the logic structures that make programs make decisions and repeat actions — with real-world patterns, not textbook exercises.
30 min· Knowledge check· Coding exercise - 6
AI-Assisted Coding in Practice ★ NEW
Learn to write functions that are clear, testable, and reusable — the building blocks of professional Python code.
25 min· Knowledge check· Coding exercise - 7
Reading & Writing Files — Practical File I/O
Learn to read from and write to files — the foundation of data processing, report generation, and automation.
25 min· Knowledge check· Coding exercise - 8
Working with APIs — Fetching Real-World Data
Learn to call web APIs, handle responses, and integrate external data into your Python programs.
30 min· Knowledge check· Coding exercise· 📚 1 resource - 9
Error Handling — Building Resilient Code
Learn to anticipate, catch, and handle errors gracefully — so your programs fail safely instead of crashing silently.
25 min· Knowledge check - 10
Data Analysis with Pandas
Use the Pandas library to load, clean, transform, and analyse real-world datasets — the core skill of data-driven Python.
35 min· Knowledge check· Coding exercise - 11
Automating Real-World Tasks
Apply everything you have learned to automate repetitive tasks — from file processing to report generation to scheduled jobs.
25 min· Knowledge check· 📚 2 resources - 12
Capstone — Automated Sales Intelligence Pipeline
Build a complete automated data pipeline that fetches, cleans, analyses, and reports on real-world data — applying every concept from the course.
40 min· Knowledge check· Coding exercise