


From web development to full-stack web and AI development
What you will still learn
- HTML, CSS and JavaScript
- React and front-end development
- Node.js and Express
- MongoDB and database development
- Full-stack development and hands-on projects
What has been added
- Artificial intelligence and machine learning fundamentals
- Generative AI, LLMs and prompt engineering
- AI API integration and AI-powered user experiences
- Vector databases, embeddings, semantic search and RAG
- AI security, privacy, responsible AI and AI-native applications
Dr Mark Thomas Kennedy
Director of Imperial Business Analytics and Co-Director of the DSI
“...do this and get to the point where you really are job-ready in a short period of time.”
What you'll learn
Potential career paths in web and AI development
Skills that advance careers
A life-changing experience
Employment rate*
Salary growth*
Launched new careers*
Learner population*
*According to the HyperionDev Graduate Outcomes Report. This report combines the student experience from global bootcamp participants, not limited to the university.
Hear from past participants

Tobias Morrissey-Valler
Tobias Morrissey-Valler was working as a finance analyst in London when he realised he wanted to move into the fast-growing world of analytics. With minimal coding experience, he joined the Software Engineering Bootcamp.

Eustoachio Di Paola
After 20 years in civil engineering, Eustoachio used the Web Development bootcamp to make a bold career shift into tech.
Why build a career in full-stack web and AI development?
Meet your leadership team
The Imperial College London Bootcamps, delivered in partnership with HyperionDev, are guided by a distinguished team of experts shaping the strategic direction of the programs.

Dr Rossella Arcucci
Lecturer in Data Science and Machine Learning
Dr Arcucci’s research focuses on AI for climate and environmental modelling. She is an elected member of the WMO and leads initiatives within Imperial’s AI Network of Excellence.

Dr Mark Kennedy
Lecturer in Data Science and Machine Learning
Dr Kennedy studies how innovations become real. He's Co-Director of Data Science Institute at Imperial, and holds degrees from Stanford and Northwestern. His work has been published in top journals including American Sociological Review and Academy of Management Journal.

Dr Ovidiu Șerban
Research Fellow, Data Science Institute
Dr Șerban specialises in large-scale data visualisation, NLP, machine learning, affective computing, and interactive system design. He holds a joint PhD from INSA de Rouen Normandy and Babeș-Bolyai University.



