Artificial Intelligence, Generative AI, Coding & Creative Projects

Explore AI. Build with AI. Create the future.

NextGenBright Gen AI Classes are designed to introduce students to the exciting world of Artificial Intelligence and Generative AI through age-appropriate, practical and project-based learning.

Students progress from understanding what AI is and how intelligent systems work to creating their own chatbots, image-recognition applications, AI-generated stories, games, creative content and AI-powered applications.

The programme is structured from Year 1 to Year 13, with the complexity of AI concepts, programming and projects increasing at each level.

The curriculum follows a progression from understanding → applying → creating, which is also reflected in UNESCO's AI competency framework for students. UNESCO identifies AI techniques and applications, AI system design, human-centred thinking and AI ethics as important areas of student development.

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What Students Will Learn

Throughout the programme, students will progressively explore:

• What Artificial Intelligence is
• How AI systems work
• Machine Learning
• Generative AI
• Chatbots and conversational AI
• Prompt engineering
• AI image generation
• AI text and content creation
• Speech and voice AI
• Computer vision
• Image recognition
• AI-powered games
• AI-assisted coding
• Data and datasets
• AI model training
• AI APIs
• Python for AI
• Machine-learning algorithms
• Neural networks
• Large Language Models
• AI application development
• AI ethics and responsible AI
• Bias and fairness
• Privacy and data protection
• AI safety
• Building and presenting AI projects

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YEAR 1 – Discovering Artificial Intelligence

Age: 5–6

Students are introduced to AI through games, stories, pictures and simple activities. The focus is on understanding that computers can be designed to recognise patterns, respond to instructions and perform tasks.

Course Contents

• What is a computer?
• What is Artificial Intelligence?
• Where do we see AI?
• AI in phones and tablets
• AI in games
• Voice assistants
• Smart devices
• Robots and AI
• How humans and computers are different
• Understanding instructions
• Patterns and recognition
• Introduction to algorithms
• What can AI do?
• What can't AI do?
• Being safe when using technology

Exciting Projects

My AI Friend

Students design an imaginary AI assistant and decide what it should be able to do.

AI Pattern Detective

Students identify patterns and teach a simple computer activity how to recognise them.

Design a Robot

Students create an AI robot and describe its purpose, abilities and rules.

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YEAR 2 – AI Around Us

Age: 6–7

Students explore how AI appears in everyday life and begin experimenting with simple AI-powered creative tools.

Course Contents

• AI in everyday life
• Smart assistants
• Recommendation systems
• Voice recognition
• Image recognition
• Facial recognition concepts
• Robots
• Smart cars
• AI in education
• AI in entertainment
• Introduction to machine learning
• Learning from examples
• Patterns and classification
• Introduction to generative AI
• Safe and responsible AI use

Projects

• Create an AI-generated story
• Design an AI character
• Create an AI picture book
• Build a simple decision-making game
• Create a "Can AI recognise it?" activity

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YEAR 3 – Creative AI

Age: 7–8

Students begin using AI as a creative tool to generate stories, images and ideas while learning that AI outputs need human judgement.

Course Contents

• Introduction to Generative AI
• AI-generated text
• AI-generated images
• AI-generated stories
• AI music concepts
• AI characters
• Giving instructions to AI
• Introduction to prompts
• Writing better prompts
• Checking AI-generated information
• Creativity and AI
• Human creativity versus AI
• AI safety
• Responsible AI use

Projects

Create an AI Story

Students develop a story using AI-assisted brainstorming and create characters, settings and illustrations.

AI Character Creator

Students design a fictional character and create a character profile and visual concept.

AI Storybook

Students create a short illustrated digital story using AI-assisted content creation.

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YEAR 4 – Introduction to Machine Learning

Age: 8–9

Students begin to understand how machines can learn patterns from examples. Activities remain practical and visual rather than mathematically complex.

Course Contents

• What is Machine Learning?
• AI versus traditional programming
• Learning from examples
• Data and information
• Training data
• Classification
• Patterns
• Predictions
• Image recognition
• Speech recognition
• Recommendation systems
• Introduction to computer vision
• AI limitations
• AI mistakes and incorrect predictions

Projects

Train an Image Recogniser

Students create a simple classification activity that learns to distinguish between different categories of objects or images.

AI Animal Classifier

Students explore how an AI system could classify animals based on features.

AI Guessing Game

Students create a simple prediction game based on patterns.

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YEAR 5 – Building with AI

Age: 9–10

Students begin building simple AI experiences and learn how AI can be combined with programming and digital creativity.

Course Contents

• Machine learning basics
• Data collection
• Training examples
• Classification
• Prediction
• Computer vision
• Image recognition
• Voice recognition
• Natural Language Processing
• Introduction to chatbots
• AI prompts
• AI-generated content
• AI-assisted coding
• Testing AI systems
• Identifying AI errors

Projects

AI Image Recognition App

Students create a simple application that identifies objects or categories from images.

Build a Simple Chatbot

Students create a chatbot that answers questions on a chosen topic.

AI Quiz Game

Students create an interactive quiz with AI-generated questions and feedback.

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YEAR 6 – Generative AI & Creative Technology

Age: 10–11

Students explore Generative AI in greater depth and learn how to combine AI with creativity, storytelling and simple programming.

Course Contents

• What is Generative AI?
• Large Language Models
• How AI generates text
• AI image generation
• Prompt engineering
• Prompt structure
• Improving prompts
• AI-assisted research
• Fact checking AI responses
• AI-generated stories
• AI-generated presentations
• AI-generated images
• AI-assisted coding
• Introduction to AI APIs
• Responsible AI
• Copyright and intellectual property
• Privacy and personal data

Projects

AI Study Assistant

Students design a simple AI assistant concept that helps students revise a chosen subject.

AI Story Generator

Students create an interactive story using AI-generated characters, scenes and dialogue.

AI Image Recognition Challenge

Students build a classification project and test its accuracy.

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YEAR 7 – AI Foundations

Age: 11–12

Students begin a more structured study of Artificial Intelligence and Machine Learning while continuing to build practical projects.

Course Contents

• History of Artificial Intelligence
• AI applications
• Machine Learning
• Supervised learning
• Unsupervised learning
• Classification
• Regression concepts
• Training data
• Testing data
• Features and labels
• Computer vision
• Natural Language Processing
• Speech recognition
• Generative AI
• Large Language Models
• Prompt engineering
• AI limitations
• AI bias
• Responsible AI

Projects

AI Chatbot

Build a subject-specific chatbot.

Image Classifier

Create an AI system capable of recognising categories of images.

AI Recommendation System

Design a simple recommendation system for books, films or games.

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YEAR 8 – Machine Learning & AI Applications

Age: 12–13

Students move beyond basic AI concepts and explore how machine-learning systems are trained and evaluated.

Course Contents

• Machine-learning workflow
• Data collection
• Data cleaning
• Features
• Labels
• Training datasets
• Testing datasets
• Classification
• Regression
• Accuracy
• Model evaluation
• Overfitting concepts
• Computer vision
• Natural Language Processing
• Chatbots
• Recommendation systems
• Generative AI
• Prompt engineering
• AI ethics
• Bias and fairness

Projects

Smart Image Classifier

Students develop an image classification system and test its performance.

AI Recommendation Engine

Create a recommendation system for books, music or films.

AI Customer-Service Bot

Create a chatbot designed to answer common customer questions.

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YEAR 9 – Generative AI & AI Development

Age: 13–14

Students begin combining AI tools with programming to create more sophisticated applications.

Course Contents

• Generative AI concepts
• Large Language Models
• Prompt engineering
• System prompts
• Structured prompting
• AI content generation
• Text generation
• Image generation
• Audio and speech AI
• Natural Language Processing
• AI-assisted programming
• Python introduction for AI
• APIs
• Data handling
• Model evaluation
• AI hallucinations
• Fact checking
• AI bias
• Privacy and security
• Copyright and responsible AI

Projects

AI Personal Assistant

Build a basic AI assistant capable of answering questions and performing defined tasks.

AI Content Creator

Create an AI-powered system for generating articles, stories or educational content.

AI Image Search Tool

Create a simple application that categorises and searches images.

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YEAR 10 – Artificial Intelligence & Machine Learning

Age: 14–15

This level introduces more technical AI and Machine Learning concepts and gives students the opportunity to build portfolio-quality projects.

Course Contents

• AI and Machine Learning fundamentals
• Supervised learning
• Unsupervised learning
• Classification
• Regression
• Clustering
• Data preprocessing
• Feature engineering
• Training and testing
• Model evaluation
• Accuracy and precision
• Confusion matrix concepts
• Neural networks introduction
• Computer vision
• Natural Language Processing
• Generative AI
• Large Language Models
• Prompt engineering
• AI APIs
• Python for AI
• Data visualisation
• AI ethics
• Bias
• Privacy
• Responsible AI

Projects

AI Image Recognition System

Build and evaluate an image classification application.

AI Chatbot

Create a domain-specific chatbot using an AI model/API.

AI Prediction Project

Use a dataset to build a basic predictive model.

AI Game

Create a game where AI controls an opponent, character or game behaviour.

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YEAR 11 – Advanced AI & Generative AI

Age: 15–16

Students explore advanced AI concepts and develop more complex applications suitable for a student portfolio.

Course Contents

• Advanced Machine Learning
• Neural networks
• Deep Learning concepts
• Computer vision
• Natural Language Processing
• Large Language Models
• Generative AI
• Prompt engineering
• Retrieval-Augmented Generation concepts
• AI APIs
• Embeddings concepts
• Vector databases concepts
• Model evaluation
• Data quality
• AI hallucinations
• AI safety
• AI bias
• Explainable AI concepts
• Data privacy
• Copyright and intellectual property
• Responsible AI development

Projects

AI Knowledge Assistant

Build a chatbot that answers questions from a defined knowledge base.

AI Image Recognition Platform

Create an application capable of recognising multiple categories of images.

AI Content Studio

Build a creative workflow for generating text, images and other digital content.

AI Game Designer

Create a game incorporating AI-generated characters, dialogue or intelligent game behaviour.

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YEAR 12 – AI Engineering & Application Development

Age: 16–17

Year 12 introduces students to the process of designing and developing real-world AI applications.

Course Contents

• AI system architecture
• Machine Learning workflows
• Python for AI
• Data preparation
• Data analysis
• Machine-learning models
• Neural networks
• Deep Learning concepts
• Computer vision
• Natural Language Processing
• Large Language Models
• Generative AI
• Prompt engineering
• AI APIs
• Model integration
• Embeddings
• Vector databases
• Retrieval-Augmented Generation
• AI agents concepts
• Evaluation and testing
• Security
• Privacy
• Responsible AI
• AI project management

Major Projects

AI Research Assistant

Build an AI application that can search and summarise information from a defined knowledge base.

AI Vision Application

Create an image recognition application for a practical use case.

AI Customer Support System

Develop a conversational AI system for a fictional business.

AI Game

Create an interactive game incorporating AI-generated content or AI-powered game behaviour.

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YEAR 13 – Advanced Generative AI & AI Innovation

Age: 17–18

The Year 13 programme is designed for students who want to explore AI at a deeper technical and creative level and potentially prepare for university, technology careers or entrepreneurship.

Course Contents

Advanced AI

• Advanced Machine Learning
• Deep Learning
• Neural networks
• Computer vision
• Natural Language Processing
• Transformers
• Large Language Models
• Generative AI architectures
• Model fine-tuning concepts
• Embeddings
• Vector databases
• Retrieval-Augmented Generation
• AI agents
• Multimodal AI

AI Development

• Python for AI
• AI APIs
• Application development
• Data pipelines
• Model integration
• AI application architecture
• Testing
• Evaluation
• Deployment concepts
• Monitoring AI applications

Prompt Engineering

• Advanced prompting
• Role prompting
• Structured prompts
• Few-shot prompting
• Chain-of-thought awareness
• Prompt evaluation
• Prompt optimisation
• AI workflow design

Responsible AI

• AI ethics
• Bias and fairness
• Privacy
• Data protection
• Copyright
• Intellectual property
• AI safety
• Misinformation
• Human oversight
• Responsible AI development

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Year 13 Capstone Projects

Students choose a substantial AI project and take it through the complete development process.

Project 1 – AI Chatbot

Build a specialised chatbot for:

• Education
• Customer service
• Travel
• Business
• Entertainment
• Personal productivity

Project 2 – AI Image Recognition

Build an application capable of recognising and classifying images for a chosen real-world application.

Project 3 – AI Content Creation Platform

Create an application that combines:

• Text generation
• Image generation
• Content ideas
• Summarisation
• Editing
• AI-assisted research

Project 4 – AI Game

Design and build an AI-powered game incorporating:

• Intelligent characters
• AI-generated stories
• AI-generated images
• Dynamic dialogue
• Adaptive game behaviour

Project 5 – AI Personal Assistant

Build an AI assistant capable of:

• Answering questions
• Summarising information
• Generating content
• Searching a knowledge base
• Performing defined tasks

Project 6 – AI Startup Project

Students identify a real-world problem and design an AI-powered solution.

They will work through:

• Problem identification
• Market research
• AI solution design
• Data requirements
• Prototype development
• Testing
• User feedback
• Improvements
• Business model
• Final presentation

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Gen AI Project Pathway

A major feature of the NextGenBright programme should be a Project-Based AI Learning Pathway.

Students progressively move from simple creative projects to advanced AI applications.

Beginner Projects

• AI Story Creator
• AI Character Designer
• AI Art Project
• AI Quiz Generator
• AI Music Concept
• AI Virtual Assistant Design

Intermediate Projects

• AI Chatbot
• Image Recognition
• AI Recommendation System
• AI Quiz Application
• AI Study Assistant
• AI Content Creator
• AI Game

Advanced Projects

• AI Research Assistant
• RAG Knowledge Assistant
• AI Vision Application
• AI Customer Support Agent
• AI Content Platform
• AI Agent
• AI-powered Game
• AI Startup Prototype

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AI Tools & Technologies

The exact tools can evolve as technology changes, but students can be introduced progressively to categories such as:

• Generative AI assistants
• AI image-generation tools
• AI coding assistants
• Computer-vision platforms
• Machine-learning platforms
• Python
• Jupyter notebooks
• AI APIs
• Cloud AI services
• No-code/low-code AI platforms
• Data visualisation tools
• Game-development tools

For younger students, the emphasis should be on safe, teacher-controlled and age-appropriate environments rather than requiring children to create accounts on public AI services.

The UK Department for Education's current guidance emphasises safe and effective use of generative AI, including checking AI outputs and considering safeguarding, ethics, data and intellectual-property risks.

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AI Skills Students Develop

By progressing through the programme, students develop five major skill areas.

1. AI Understanding

Students learn:

• What AI is
• How AI systems work
• Machine Learning
• Generative AI
• Neural networks
• Computer vision
• NLP
• Large Language Models

2. AI Creativity

Students learn to use AI to:

• Create stories
• Generate images
• Produce presentations
• Develop characters
• Create games
• Generate ideas
• Create digital content

3. AI Development

Older students learn:

• Python
• Data handling
• Machine Learning
• APIs
• AI application development
• Model evaluation
• AI system architecture

4. Critical Thinking

Students learn to:

• Question AI outputs
• Identify errors
• Fact-check information
• Recognise hallucinations
• Identify bias
• Compare AI-generated and human-generated information

5. Responsible AI

Students learn:

• AI ethics
• Privacy
• Data protection
• Copyright
• Intellectual property
• Bias and fairness
• AI safety
• Human oversight
• Responsible use of AI

These areas are important because current international AI-education frameworks emphasise that students should become not only users of AI, but also critical thinkers and responsible co-creators.

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Assessment & Certification

Students should be assessed primarily through projects and practical application, rather than memorising AI terminology.

Assessment Methods

• Interactive quizzes
• AI challenges
• Practical exercises
• Coding exercises
• Prompt-engineering challenges
• Data activities
• AI experiments
• Project assignments
• Presentations
• End-of-level assessments
• Portfolio development

Final Project Assessment

Students can be assessed on:

• Understanding of AI concepts
• Creativity
• Technical implementation
• Problem-solving
• Project design
• Testing
• Responsible AI use
• Presentation skills
• Ability to explain how their AI system works

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Explore the future with NextGenBright Gen AI Classes.

Discover Artificial Intelligence, Generative AI, Machine Learning and creative technology through exciting hands-on projects. Students learn to create chatbots, recognise images, generate digital content, design games and build AI-powered applications while developing essential skills in coding, creativity, critical thinking and responsible AI.

Key Benefits

• AI learning from Year 1 to Year 13
• Age-appropriate progression
• Hands-on project-based learning
• Generative AI and Machine Learning
• Chatbot development
• Image recognition
• AI content creation
• AI game design
• Python and AI programming
• Prompt engineering
• Real-world AI applications
• AI ethics and safety
• Portfolio-building projects
• NextGenBright AI certificate