Coding Stars
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:
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Write intermediate-to-advanced code for AI, apps, and automation.
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Understand and apply machine learning models using real-world datasets.
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Build robotics projects with sensors, actuators, and AI integration.
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Develop and test smart applications using vision, sound, and data inputs.
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Work with satellite, space, or environmental data for creative missions.
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Design and implement full projects with real-world impact and storytelling.
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Practice teamwork, project planning, and debugging at a near-professional level.
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Present working demos that integrate software, hardware, and AI logic.
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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?
Lesson 2
Python Recap + Advanced Concepts (Functions, Classes, Libraries).
Lesson 3
Working with Real Data (JSON, CSV, APIs).
Lesson 4
Debugging & Error Handling in Python.
Lesson 5
Build: Your First Smart App (Sentiment Analyser or Chatbot).
Lesson 6
Machine Learning 101 – Intro to Models, Training & Features.
Lesson 7
Train a Classifier (Teachable Machine or custom data).
Lesson 8
Ethics of AI – Bias, Privacy, and Power.
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?
Lesson 10
Pygame Introduction – Movement, Events, UI.
Lesson 11
Build: Classic Game (Tic-Tac-Toe, Pong, etc.).
Lesson 12
Add AI to Your Game – Opponent that Learns or Adapts.
Lesson 13
Computer Vision in Games (e.g. control with gestures or face).
Lesson 14
Natural Language Input – Commands via Text or Voice.
Lesson 15
Sound, Music & Effects – Add sensors or reactions.
Lesson 16
Game Design Workshop – Polish, test, and present.
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.
Lesson 18
Wiring & Programming Basics (Raspberry Pi Pico/Micro: bit / Arduino).
Lesson 19
Build: Line Follower Bot.
Lesson 20
Build: Obstacle Avoidance Bot.
Lesson 21
Sensor Deep Dive – Distance, Light, Temp, Sound.
Lesson 22
Create: Traffic Light System with Sensors.
Lesson 23
Build: Emotion-Responsive Robot (Reacting to face/sound).
Lesson 24
Challenge: Maze-Navigating Robot.
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.
Lesson 26
Project: Alien Communication – Encode messages (text, sound, image).
Lesson 27
Simulate Satellite or Interplanetary Messaging (Use delays, signals).
Lesson 28
Train an Alien Language Classifier (Fantasy dataset or mock sounds).
Lesson 29
AI for Navigation – Pathfinding Algorithms (A*, BFS, etc.).
Lesson 30
Smart Probe or Rover – Simulate a Mars mission with a robot.
Lesson 31
Project: Design a Launch Control Interface (GUI + Python logic).
Lesson 32
Workshop & Demo Day: “Beyond Earth” Showcase.
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.
Lesson 34
Sound Classification – Can we “Talk” to Dolphins?
Lesson 35
Build: Whale/Dolphin Call Classifier (Mock or real dataset).
Lesson 36
Create: Smart Ocean Buoy or Jungle Listener (Robot + Sound Sensor).
Lesson 37
AI for Conservation – Detect Poachers or Fires from Images.
Lesson 38
Project: Build a Sustainable City Monitor (Env sensors + alerts).
Lesson 39
Robotics Challenge: Smart Farming Bot.
Lesson 40
Ethics Discussion: Surveillance vs Sustainability.
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.
Lesson 42
Defining Scope: What, Why, and How?
Lesson 43
Build Phase 1 – Core Code & Architecture.
Lesson 44
Build Phase 2 – Hardware/AI Integration.
Lesson 45
Testing, Debugging, Iterating.
Lesson 46
Design, Branding, and Presentation.
Lesson 47
Final Demos + Video Showcase Recording.
Lesson 48
Reflection, Feedback, and Next Steps in AI/Tech.
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
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