Coding Stars

Coding Pros
Code like a pro

Coding Pro is an immersive course where young creators build real-world AI and robotics projects using Python and machine learning. It also explores imaginative frontiers like decoding animal communication, building smart machines, and simulating interstellar messaging. This program guides kids and teens from foundational coding concepts to advanced AI applications, fostering deep understanding and practical expertise. Parents or Schools can join our programs for their students.

The Coding Pro program is meticulously organised into 6 modules, with each module containing 8 lessons, totalling 48 one-hour sessions. This structure ensures a steady progression from foundational knowledge to complex concepts. The modular design balances depth and engagement, fostering consistent skill development through dynamic, hands-on activities and clear learning outcomes.

What Learners Will Achieve at the End of the Program

By the end of this course, students will:

      • Write intermediate-to-advanced code for AI, apps, and automation.

      • Understand and apply machine learning models using real-world datasets.

      • Build robotics projects with sensors, actuators, and AI integration.

      • Develop and test smart applications using vision, sound, and data inputs.

      • Work with satellite, space, or environmental data for creative missions.

      • Design and implement full projects with real-world impact and storytelling.

      • Practice teamwork, project planning, and debugging at a near-professional level.

      • Present working demos that integrate software, hardware, and AI logic.

The complete ‘Coding Pro’ course is available for £850. Alternatively, lessons can be purchased individually at £20 each.

Coding Pros module

Module 1

AI + Python Foundations (Lessons 1–8)

This module introduces fundamental Python programming concepts alongside the basics of AI and machine learning, including working with real data and ethical considerations.

Students will Learn: To write Python code, understand machine learning models and training, build a simple smart app, and recognise AI ethics like bias and privacy.

Lesson 1

What is AI? What is This Course?

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Lesson 2

Python Recap + Advanced Concepts (Functions, Classes, Libraries).

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Lesson 3

Working with Real Data (JSON, CSV, APIs).

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Lesson 4

Debugging & Error Handling in Python.

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Lesson 5

Build: Your First Smart App (Sentiment Analyser or Chatbot).

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Lesson 6

Machine Learning 101 – Intro to Models, Training & Features.

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Lesson 7

Train a Classifier (Teachable Machine or custom data).

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Lesson 8

Ethics of AI – Bias, Privacy, and Power.

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Coding Pros module

Module 2

Gaming + AI Logic (Lessons 9–16)

Students learn to integrate AI into game development, covering game planning, user interface design, and implementing AI opponents, computer vision, and natural language input. 

Students will Learn: To plan and build classic games, add AI opponents that learn, use computer vision and natural language input in games, and incorporate sound and effects.

Lesson 9

Game Planning with AI – What Makes a “Smart” Game?

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Lesson 10

Pygame Introduction – Movement, Events, UI.

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Lesson 11

Build: Classic Game (Tic-Tac-Toe, Pong, etc.).

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Lesson 12

Add AI to Your Game – Opponent that Learns or Adapts.

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Lesson 13

Computer Vision in Games (e.g. control with gestures or face).

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Lesson 14

Natural Language Input – Commands via Text or Voice.

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Lesson 15

Sound, Music & Effects – Add sensors or reactions.

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Lesson 16

Game Design Workshop – Polish, test, and present.

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Coding Pros module

Module 3

Robotics in the Real World (Lessons 17–24)

This module focuses on practical robotics, introducing hardware components, wiring, programming microcontrollers, and building various AI-integrated robots. 

Students will Learn: About microcontrollers, sensors, and motors, how to wire and program robotics hardware, and how to build robots like line followers, obstacle avoiders, and emotion-responsive robots.

Lesson 17

Intro to Robotics Hardware – Microcontrollers, Sensors, Motors.

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Lesson 18

Wiring & Programming Basics (Raspberry Pi Pico/Micro: bit / Arduino).

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Lesson 19

Build: Line Follower Bot.

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Lesson 20

Build: Obstacle Avoidance Bot.

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Lesson 21

Sensor Deep Dive – Distance, Light, Temp, Sound.

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Lesson 22

Create: Traffic Light System with Sensors.

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Lesson 23

Build: Emotion-Responsive Robot (Reacting to face/sound).

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Lesson 24

Challenge: Maze-Navigating Robot.

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Coding Pros module

Module 4

AI for Space & Imagination (Lessons 25–32)

Students explore AI applications in space and imaginative scenarios, including data analysis for space, simulating interstellar communication, and AI for navigation. 

Students will Learn: To find and use space data, encode alien messages, simulate satellite communication, train alien language classifiers, and design AI-driven navigation systems. 

Lesson 25

Space + Data – Where to Find It, What We Can Do.

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Lesson 26

Project: Alien Communication – Encode messages (text, sound, image).

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Lesson 27

Simulate Satellite or Interplanetary Messaging (Use delays, signals).

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Lesson 28

Train an Alien Language Classifier (Fantasy dataset or mock sounds).

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Lesson 29

AI for Navigation – Pathfinding Algorithms (A*, BFS, etc.).

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Lesson 30

Smart Probe or Rover – Simulate a Mars mission with a robot.

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Lesson 31

Project: Design a Launch Control Interface (GUI + Python logic).

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Lesson 32

Workshop & Demo Day: “Beyond Earth” Showcase.

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Coding Pros module

Module 5

AI for Nature & Society (Lessons 33–40)

This module delves into how AI can be used for environmental and societal challenges, such as wildlife monitoring, conservation, and building sustainable city solutions, along with ethical discussions. 

Students will Learn: To work with nature datasets, classify sounds for conservation, build smart environmental monitors with sensors, and discuss ethical implications of AI like surveillance vs. sustainability.

Lesson 33

Wildlife & Nature Datasets – Where to Find and How to Use.

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Lesson 34

Sound Classification – Can we “Talk” to Dolphins?

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Lesson 35

Build: Whale/Dolphin Call Classifier (Mock or real dataset).

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Lesson 36

Create: Smart Ocean Buoy or Jungle Listener (Robot + Sound Sensor).

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Lesson 37

AI for Conservation – Detect Poachers or Fires from Images.

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Lesson 38

Project: Build a Sustainable City Monitor (Env sensors + alerts).

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Lesson 39

Robotics Challenge: Smart Farming Bot.

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Lesson 40

Ethics Discussion: Surveillance vs Sustainability.

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Coding Pros module

Module 6

Capstone Project Development (Lessons 41–48)

The final module guides students through the complete project development lifecycle, from planning and team formation to building, testing, and presenting their advanced AI and robotics projects. 

Students will Learn: Project planning, scope definition, core coding and architecture, hardware/AI integration, rigorous testing and debugging, design and presentation skills, and reflective practices for future AI endeavours.

Lesson 41

Project Planning & Team Formation.

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Lesson 42

Defining Scope: What, Why, and How?

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Lesson 43

Build Phase 1 – Core Code & Architecture.

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Lesson 44

Build Phase 2 – Hardware/AI Integration.

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Lesson 45

Testing, Debugging, Iterating.

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Lesson 46

Design, Branding, and Presentation.

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Lesson 47

Final Demos + Video Showcase Recording.

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Lesson 48

Reflection, Feedback, and Next Steps in AI/Tech.

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Coding Pros Projects

Projects

Showcasing the coder within

These projects showcase the skills and creativity students have gained, turning ideas into real, working applications. It’s where learning meets execution—proof that they’re ready to code like pros.

Project: “Alien Message Builder”

Use Morse code, images, or AI-generated languages.

Project: “Animal Whisperer”

Use ML to detect and “respond” to animal calls.

Project: “Smart Helmet for Cyclists”

Sensors + AI for real-time alerts.

Project: “AI Dungeon Master”

Storytelling game using GPT-style prompts.

Project: “Green City Robot”

Detect trash or hazards in mock environments.

Project: “Satellite Disaster Alert App”

Use real NASA or Sentinel data to flag issues.

Give us a shout

Send us a message

Do you have any questions or inquiries? Please leave us a message, and we’ll contact you with the information you need.

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Contact or Visit Us

Email Address

admissions@codingstars.co.uk info@codingstars.co.uk

Location

Above Budgens, 49 Pomeroy St, London SE14 5GA

Phone Number

07376576085

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