Welcome to AI Adventures:
Teens in AI’s online, self-paced courses


AI Adventures is a learning hub for teens aged 13–19, offering engaging courses in AI and coding through videos, quizzes, projects, and Python exercises.

Our mission is to make AI education flexible and accessible, giving young people practical skills, hands-on experience with industry-used AI Skills, and portfolio-ready projects for university or internship applications. We focus on bridging the gap for teens, especially from low-income backgrounds, with affordable certificate courses that open doors to future tech careers.

Learn with world-leading Institutions and educators

Capgemini

Stand out with AI skills that matter

Our membership gives you access to exclusive content, project-based learning, and certificates
you can add to your portfolio or CV.

Courses that spark curiosity and build expertise

View more courses

Choose a pricing plan that works for you


Skill Boosters⚡

Free & Self-Paced

✔ High-impact learning under 1 hour.

✔ No certificates, just knowledge!

✔ Perfect for quick learning.

✔ Learn anytime at your own pace.

Great for those who want to boost their AI skills fast!

Start Learning

Pay Per Course💡

£24.99 each

✔ Choose any course to explore AI.

✔ Get a certificate of completion.

✔ Work on a hands-on AI project.

✔ Learn anytime at your own pace.

Perfect for learners who want to master one topic at a time.

Start Exploring
BEST VALUE

Membership🚀

£199.92  £99.99/Year

✔ Unlimited access for an entire year.

✔ Certificates for all courses.

✔ Work on multiple AI projects.

✔ Learn anytime at your own pace.

Best value if you want to explore multiple courses.

Get Full Access

Educators🎓

Tailored for Schools

✔ Curriculum-aligned AI content designed for schools.

✔ Group access & progress tracking.

✔ Teacher training & onboarding.

✔ Flexible deployment options.

Empower your students with AI learning pathways.

Contact Us

Meet the experts guiding the next generation

Jen Glenski

Data & AI Product Management, BMC Innovation Labs

Jennifer Glenski is the Director of Product Management for BMC Software’s Innovation Labs. She has been honoured in the AFCEA’s 2022 40 Under 40 Award for contributions to a technical field through innovation, and the 2022 Women Tech Network Community Award for her leadership in tech.

QuantumBlack, AI By McKinsey

QuantumBlack uses AI to help organisations reinvent themselves from the ground up and accelerate sustainable and inclusive growth. As the AI consulting arm of McKinsey, they use deep strategic thinking and domain expertise to help clients innovate and develop new opportunities.

Gavin Johnson-Lynn

Principal Offensive Security Specialist, Sage

Gavin is an accomplished cybersecurity professional and Pluralsight Author, focusing on software development and offensive/defensive security. While working as an ethical hacker at Sage, a global organisation, he hacks into business assets to help secure them.

Piero Paialunga

Data Science Writer, Towards Data Science

A PhD student in Aerospace Engineering at the University of Cincinnati with a Master’s Degree in Physics and Data Scientist, Piero Paialunga is an expert in his field who worked as a Machine Learning Engineer at Gen Nine Inc. Among his numerous accolades, Piero is one of six students to have been selected as a UC Space Research Institute Fellow.

Sherif Elsayed-Ali

Co-Founder, Nexus Climate

Sherif is the Co-founder of Carbon Re, an AI for materials company using machine learning to decarbonise cement and other materials. He set up and led the AI for Climate practice at Element AI, was a co-founder and director of Amnesty Tech, and was a co-chair at the World Economic Forum Global Future Council. Sherif has a BSc in Civil Engineering from the American University in Cairo and a Master's in Public Administration from Harvard.

Dr. Nina Kottler

Associate Chief Medical Officer, Clinical AI at Radiology Partners

Dr. Kottler is a radiologist with over 18 years of experience in emergency radiology. With a background in applied mathematics and optimisation theory, she has been using imaging informatics to improve quality and drive value in radiology.

Dr. Jessica Morley

Health Data Academic, Postdoctoral Research Associate Yale Digital Ethics Center

Dr. Jessica Morley is a researcher at the University of Oxford and Yale University. Her research focuses on how we can make responsible use of AI and healthcare data for direct care, research, and analytics.

Yu-Cheng Tsai

Principal Machine Learning Scientist, Sage

Yu-Cheng Tsai is a Ph.D. graduate from Princeton University in Mechanical and Aerospace Engineering, where he focused on computational physics. In 2021, he joined Sage AI to evaluate time-series models, develop production models for the invoice general ledger coding classification system, and prototype graph neural network models for accounting workflows and leveraging Generative AI.

Ahmed Salhin

Principal Data Scientist, Sage

Ahmed Salhin, PhD, is an academic and AI professional with over 17 years of experience as a data scientist and financial analyst. He has developed AI solutions for GenAI, cashflow, anomaly detection, and economic predictions, serving millions of customers worldwide.

Maria Palombini

Global Practice Leader, IEEE Standards Association

Maria is a leader of global healthcare and life science practice who collaborates with volunteer experts to drive the adoption of emerging technologies, ensuring patient safety and improving access to quality, sustainable care worldwide.

Jade Hill

Global Security Graduate, Sage

Jade is a young professional working in Offensive Security at Sage. She recently graduated with a BSc in Networking and Cyber Security and is interested in ethical hacking, web application testing and cloud security.

Vrinda Bansal

Founder, ThinkFast Robotics

Vrinda is an ethical AI education advocate and enthusiast who has participated and spoken at multiple TeensInAI hackathons. She studies Computational Cognitive Science at UC Davis. She founded Think Fast Robotics, a female world-level robotics team and conducted research in multi-robot systems at USC's ACT Lab.

Noah Hellen

MSc, Machine Learning and Data Science, Imperial College London

Noah fell in love with maths at university and now focuses on AI/ML in postgraduate studies. Professionally, he's completed a few internships, including a fun ML engineering position. He wants to give back to the community, as he joined a TiAI hackathon as a teen, which opened his eyes to the world of AI/ML.

Robert Clarke

PhD Student in Accountable, Responsible & Transparent Artificial Intelligence

Robert is a Phd student at the University of Bath developing brain-computer interfaces for the control of assistive robots. He focuses on neuromorphic and biocomputing algorithms. He also enjoys writing music, travelling and engaging with the web3 communities.

Morgan Briggs

Senior Research Associate, The Alan Turing Institute

Morgan is a Senior Research Associate at The Alan Turing Institute where she researches topics relating to AI Ethics, Policy, Human Rights, and the SDGs. In her free time, she coaches and plays football, loves to cook, and spends time with her friends.

Sabeehah Mohamed

Researcher, AI Ethics & Responsible Innovation, The Alan Turing Institute

Sabeehah currently works as a Researcher in AI Ethics & Responsible Innovation at the UK's National Institute for Data Science & AI, The Alan Turing Institute and was recognised on the international list of 100 Brilliant Women in AI Ethics 2025. As a South African, Sabeehah loves good food, wildlife and nature.

Ichraf Lahouli

Computer Vision and AI Senior Research Engineer, Apixa

Ichraf Lahouli is a senior researcher and computer vision engineer at Apixa, working on several computer vision projects related to anomaly detection, object detection, and tracking. Her master's thesis at the Royal Military Academy (RMA) in Brussels was about scene classification in an indoor environment for land robot navigation.

Dr. Pete Husemeyer

Chief Innovation Officer + Co-Founder, Sportable

Pete is passionate about sports, technology and engineering. Before co-founding Sportable in 2016, Pete completed engineering degrees in Mechanical Engineering, Computational Mechanics and Nuclear Engineering, including a PhD in Space Nuclear Engineering from Cambridge University. While at Cambridge, Pete spent four years working for NASA Marshall Space Flight Centre and the Centre for Space Nuclear Research based at Idaho National Labs. He now applies his passion for sports and problem-solving as Chief Innovation Officer and member of the board for Sportable.

Why parents and schools love Teens in AI

“After these courses, I realised I want to pursue AI in university. I even built a prototype that helps track wildlife for conservation projects!”

Jess, 17, Programme Alumni

“We integrated Teens in AI projects into our Year 10 curriculum. Students became more confident problem-solvers, and we saw an improvement in their STEM grades.”

David, Secondary School Headteacher

“My daughter’s engagement with maths and coding soared after taking her first AI course. She’s now part of her school’s robotics team!”

Sasha, Parent

Frequently asked questions

  • What is AI Adventures?

    AI Adventures is Teens in AI’s self-paced online learning hub for teens aged 12–18, offering engaging courses in Artificial Intelligence and coding. Through videos, slides, quizzes, projects, and Python coding exercises, teens learn the theory, maths, applications, and ethics behind AI and Machine Learning.

  • Why do AI Adventures online, self-paced courses matter?

    We’re bridging the gap for young people to enter the tech industry, especially those from low-income, under-resourced backgrounds, by offering affordable certificate-based courses that boost both skills and opportunities.

  • What's our mission?

    Our goal is to give teens flexible access to AI and tech education anytime, anywhere - outside of our global incubators and hackathons. We help students gain practical AI skills, explore industry-used Machine Learning algorithms, and build portfolio-ready projects for university and internship applications.

  • Do I have to already know how to code?

    No! No coding experience is required. Our courses are designed to increase your coding knowledge and improve your skills. We also offer multiple levels from beginners to advanced coders.

  • How do the courses align with national curricula?

    They enhance core STEM topics (maths, computing, science) and build real-world digital literacy. Schools often integrate them into GCSE or A-Level projects or as after-school club material.

  • What hardware or software is required?

    All you need is a computer or laptop with a stable internet connection. Some of our courses may require free accounts on coding platforms such as Google Colab or VS Code.

  • How do your payments and refunds work?

    Our payment and refund process is designed to be straightforward and customer-friendly through a secure payment gateway. All payments made are the country-specific equivalent of the Great Britain Pound (GBP). We offer flexible payment options, including online secure checkout and invoice options for schools. For the most accurate and up-to-date details on our refund policy, refer to our Website policies page.