Our AI for Kids Online Courses
We’ve designed a three-level pathway that takes children from their very first steps in AI to building ambitious projects that show real-world skills.
Our live online courses are constantly updated with the latest AI tools and methods, so your child is always learning cutting-edge skills.
We are so confident you’ll love our courses that we offer the first session completely free of charge, no risk and no commitment.
AI Explorers (Level 1) - Next Cohorts Jan 17th/18th!
£200 for 8 weeks, First Session Free
Your child is already using AI every day, from Siri to Netflix to Google search. The AI Explorers course doesn’t just teach them what AI is, it shows them how to use it to learn faster, think critically, and express their ideas in new ways.
Over 8 weeks, they will:
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Learn what AI is, how it works, and why it matters
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Use AI to research, explain, and solve problems in smarter ways
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Build healthy digital habits and stay safe online
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Create their first projects with AI — turning ideas into reality
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Gain confidence to ask questions and think deeply about technology
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Apply AI to learn faster and create with AI rather than mindlessly consuming
This is the perfect starting point for 9–11 year olds to start thinking critically about technology and utilising it to learn faster, create, and build confidence for an AI future.
The Full 8-Week Syllabus:
Week 1: Foundations of AI • Definition of AI and how it differs from regular computer programs • Spotting AI in everyday life (smart speakers, games, phones, apps) • AI history timeline for children • Machine learning basics (pattern recognition, learning from data) • How AI “thinks” using patterns and predictions Week 2: Digital Citizenship & AI Safety • What personal information should never be shared with AI • Asking adults for help when using AI • Basic privacy principles (permissions, data usage) • Digital citizenship for kids (respectful behaviour online) • Understanding AI hallucinations (AI making things up) • Bias awareness and how AI can be unfair or inaccurate Week 3: Prompting & Communication Skills • Asking clear vs. confusing questions • Structure of an effective prompt • Adding context, detail, and constraints • Using step-by-step instructions • Follow-up questions and response correction • Building reusable question templates Week 4: AI for Art & Storytelling • How AI generates images • Understanding style transfer • Describing visual styles, scenes, characters • AI-assisted story planning (plot, structure) • Character creation with AI help • When and how to credit AI • Understanding creative ownership (AI as assistant, not author) Week 5: AI for Learning & Education • Using AI to generate study guides • AI-assisted note-taking • AI flashcards and quiz generation • Fact-checking academic answers • Understanding homework boundaries (help vs cheating) • Creating revision plans with AI • Using AI to summarise long texts • AI as a personal tutor Week 6: AI for Health, Fitness & Wellness • AI in medical diagnosis (child-friendly overview) • AI-powered fitness apps • Assistive medical technologies • Privacy of health information • When AI should not replace a doctor • Safety risks in medical AI • Stress reduction tools (meditation, breathing, wellness apps) Week 7: AI for Young Entrepreneurs • How businesses use AI today (kid-friendly examples) • Brainstorming AI business ideas for kids • AI in marketing and branding (creating logos, slogans) • Customer service automation (chatbots) • Simple market analysis activities • Ethical business behaviour • Planning a kid-friendly business pitch Week 8: Self-Driving Cars, Flying Taxis, Robotics & Space • Transportation AI (maps, self-driving basics, navigation prediction) • Smart home AI (assistants, thermostats, appliances) • Entertainment AI (games, recommendations, filters) • AI in space exploration and science • Designing a dream AI assistant • Future predictions and emerging technologies • AI and environmental protection
AI Creators (Level 2)
£315 for 8 weeks, First Session Free
AI Advanced (Level 3)
£360 for 8 weeks, First Session Free
Week 1: Coding with AI (Introduction to Vibe Coding) • Visual programming concepts • Understanding code that AI generates • Introduction to vibe coding (describing what you want in natural language) • Debugging with AI assistance • Producing simple programs through conversation • Step-by-step code explanation • Learning vs copying code • Planning a coding project Week 2: AI Agents • What an AI agent is • Task planning and decomposition • Real-world automation examples • Designing simple agents • Testing automation behaviour • Reliability issues and failure modes • Human oversight responsibilities Week 3: Game Development with AI • Designing game mechanics • Using AI to generate characters or NPC behaviours • Procedural content generation (simple forms) • Building mini-games through vibe coding • Playtesting and iteration • Improving game balance • Ethical game design (avoid addictive mechanics) Week 4: App Design & Multi-Media Creation • Planning app interfaces and user experience • AI video generation basics • AI-assisted image editing • Simple animation creation • Audio generation and music creation • Multi-media project planning • Creating tutorials and guides Week 5: Ethics & Governance • Why we need rules for AI • Existing global approaches (simplified) • Creating community guidelines • Designing safety rules for families or schools • Identifying dangers of unregulated AI • Balancing innovation with safety • Ethical communication with AI (polite, responsible, appropriate use) • Avoiding inappropriate questions or unsafe topics Week 6: The Alignment Problem • Identifying risks of advanced AI use • Understanding AI limitations and common mistakes • Fact-checking AI output with multiple sources • Academic honesty and giving credit for AI assistance • Identifying when AI help becomes cheating • Understanding digital rights and copyright basics • User experience design considerations • Open-source ethics Week 7: AI and New Jobs • Social effects of AI on jobs, economy, inequality • How businesses use AI today (professional level) • Industry-specific AI tools (finance, transport, healthcare, education) • Professional AI systems (expert systems) • Creating early customer research questions • Competitive advantage basics • Future careers in AI Week 8: AI Philosophy & Artificial General Intelligence • The difference between AI, algorithms, and traditional software • How AI makes recommendations (e.g., Netflix, YouTube) • What is Artificial General Intelligence? • Advanced agent architectures (age-appropriate) • Designing specialised applications for real-world problems • Leadership and advocacy roles for kids • Community advocacy for responsible AI • Advanced prompt engineering and chain-of-thought prompting
Week 1: Reinforcement Learning • Training data (what it is, why it matters) • How models learn from examples • Running simple experiments • Data collection basics • Observing outputs and drawing conclusions • Model improvement (tuning inputs and prompts) • Research documentation skills • Reward systems in AI Week 2: Back Propagation • Basic software architecture for older students • Understanding how AI learns from mistakes • Dataset quality and bias • How errors flow backwards through systems • Troubleshooting workflows • Improving prompts iteratively (before/after comparisons) • The correction process in learning Week 3: Gradient Descent • How AI "thinks" using patterns and predictions • Introduction to neural networks (child-friendly metaphors) • Understanding the learning process • Optimisation basics • Pattern recognition in depth • How AI adjusts to improve accuracy • Finding the "best" solution Week 4: Regressive Self-Improvement • Advanced agent architectures (age-appropriate) • Performance evaluation and improvement • Testing automation behaviour • Identifying and fixing errors iteratively • Reliability issues and failure modes • Sharing experimental results responsibly • Continuous learning systems Week 5: Neural Networks • Introduction to neural networks (child-friendly metaphors) • How information flows through networks • Layers and connections • Understanding complexity in AI systems • Visual representations of networks • Simple neural network experiments • Comparing biological and artificial neurons Week 6: Weights & AI Research Methods • Understanding how AI stores knowledge • How weights affect AI decisions • Training and adjusting weights • The importance of balance in AI systems • Connection strengths in networks • Fine-tuning AI behaviour • Conducting AI experiments • Documenting research findings Week 7: Using AI to Solve Real World Problems • AI for homelessness solutions • AI for climate change and environmental protection • Current AI challenges (data scarcity, data quality) • Designing specialised applications for real-world problems • AI in developing countries and global equality • Stakeholder analysis • Presenting AI projects to audiences • Building a multi-project portfolio Week 8: Artificial Super Intelligence & The Future • Future predictions and emerging technologies • Quantum computing basics • Identifying risks of advanced AI use • Balancing innovation with safety • Long-term implications of AI development • AI in space exploration and scientific discovery • Preparing for competitions or public sharing • Reflective writing about learning journey • Career pathways in AI
Please note: All students must complete Level 1 before progressing to Levels 2 & 3
Course Format
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Duration: 8 weeks per course
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Session length: 1 hour each (live online via Zoom)
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Class size: Maximum 12 students
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Materials included: Workbook for every student, resources, and project templates
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Completion: Physical certificate awarded at the end of each level
See Inside the Workbook
Every child enrolled receives a workbook to guide them through the course. It includes weekly explanations, hands-on activities, homework challenges, and reflection sections. The workbook makes learning structured, fun, and easy to follow.
Take a look at a few sample pages below to see how it works in practice.
Level 1 Snippet - AI For Learning & Education
Level 2 Snippet - Using AI To Develop Apps
Level 3 Full Lesson - The AI Energy Challenge
How We Keep Your Child Safe While Learning AI
FAQs
Do children need any prior experience with AI or coding?
No. Most students start at Explorer Level, which assumes no prior knowledge. We build skills step by step so every child feels confident.
What if my child already uses AI?
That’s great! They’ll still benefit from starting at Explorer Level, where they’ll learn structured approaches, ethical use, and teamwork. More advanced students can join Intermediate or Advanced, but most gain more by starting at the beginning.
What if my child misses a session?
Don’t worry. All students receive the coursebook, workbook, and resources to catch up. We also share session notes and key exercises so no one falls behind.
Are the classes live?
Yes. All sessions are live on Zoom with interactive teaching, group projects, and breakout activities — not just pre-recorded videos.
How many students are in a class?
We keep groups to a maximum of 12 students to ensure every child gets attention and feedback.
Will my child be safe online?
Yes. All sessions are run by trained instructors with strict safeguarding standards. Children are taught about privacy, responsible AI use, and digital citizenship.
Do parents need to attend?
No — but we welcome parents to sit in on the calls if they’d like. We also send regular progress updates so you can see what your child is learning.
What will my child get at the end of the course?
They’ll complete a portfolio of projects, receive a certificate of completion, and gain skills that put them ahead in school, future studies, and beyond.
Why should I choose this instead of private tutoring or school programs?
Because we prepare your child for the future, not just the next exam. Our courses are constantly updated, focus on creativity and innovation, and give skills schools and tutors can’t match.