AIcademy
AI Hackathon: Hands-on prototype development
Introduction
In this two-day hackathon, you will work in a team on a realistic AI project: from idea to functioning prototype. Under the guidance of experienced AI experts, you will translate a use case into a technical solution, including architecture, working components and a convincing pitch.
You go through the entire development process: brainstorming, role assignment, building, testing and presenting. Whether you work with language models, image recognition, recommendation systems or chatbots — the focus is on building something that really works, with real data and direct feedback.
The hackathon promotes collaboration between disciplines (data, prompt engineering, back-end, front-end) and offers space to experiment, learn and accelerate within a short, intensive setting.
Learning objectives
Converting an AI use case into a workable solution and matching architecture
Distribute roles and collaborate effectively on an AI solution (data, prompt, back-end, front-end)
Build with real data and APIs, integrating LLMs, ML models or AI tools
Develop and test a functioning prototype in a short time
Present your solution convincingly to a jury or internal stakeholders
Approach and working methods
The hackathon starts with a short joint kick-off and guidance in the development of use cases. Then you work in teams on your own AI solution with support from AI coaches and technical experts. At the end of day two you pitch your working prototype to a jury or stakeholders, including a live demo.
Support is available in the areas of:
Prompt engineering
Python, front-end and back-end development
AI model integration and data pipelines
Deployment and presentation
We can also organize the hackathon around a specific theme (e.g. customer service, sustainability, policy, internal processes) or an existing dataset from your organization.
For whom
This hackathon is for AI teams, developers, data scientists, engineers and product owners who want to deepen their knowledge by building a concrete solution together. A basic knowledge of AI and technical tools is required — curiosity, collaboration and creativity are essential.
Interested in this hackathon?
Contact us for a customized setup for your team, organization or sector. We are happy to think along about themes, datasets and forms of guidance.
AI Hackathon: Hands-on prototype development
Introduction
In this two-day hackathon, you will work in a team on a realistic AI project: from idea to functioning prototype. Under the guidance of experienced AI experts, you will translate a use case into a technical solution, including architecture, working components and a convincing pitch.
You go through the entire development process: brainstorming, role assignment, building, testing and presenting. Whether you work with language models, image recognition, recommendation systems or chatbots — the focus is on building something that really works, with real data and direct feedback.
The hackathon promotes collaboration between disciplines (data, prompt engineering, back-end, front-end) and offers space to experiment, learn and accelerate within a short, intensive setting.
Learning objectives
Converting an AI use case into a workable solution and matching architecture
Distribute roles and collaborate effectively on an AI solution (data, prompt, back-end, front-end)
Build with real data and APIs, integrating LLMs, ML models or AI tools
Develop and test a functioning prototype in a short time
Present your solution convincingly to a jury or internal stakeholders
Approach and working methods
The hackathon starts with a short joint kick-off and guidance in the development of use cases. Then you work in teams on your own AI solution with support from AI coaches and technical experts. At the end of day two you pitch your working prototype to a jury or stakeholders, including a live demo.
Support is available in the areas of:
Prompt engineering
Python, front-end and back-end development
AI model integration and data pipelines
Deployment and presentation
We can also organize the hackathon around a specific theme (e.g. customer service, sustainability, policy, internal processes) or an existing dataset from your organization.
For whom
This hackathon is for AI teams, developers, data scientists, engineers and product owners who want to deepen their knowledge by building a concrete solution together. A basic knowledge of AI and technical tools is required — curiosity, collaboration and creativity are essential.
Interested in this hackathon?
Contact us for a customized setup for your team, organization or sector. We are happy to think along about themes, datasets and forms of guidance.
Description:
Work in teams on a realistic AI project: from devising and scoping use cases to developing a prototype and final presentation – with guidance from experts.
Learning objectives:
Translate use cases into a technical architecture and solution.
Develop under the guidance of experts and deliver a demo.
Pitch a solution to a jury or internal stakeholders.
For whom: AI teams or professionals who want to deepen their knowledge by building and learning in practice.
AI Hackathon: Hands-on prototype development
Introduction
In this two-day hackathon, you will work in a team on a realistic AI project: from idea to functioning prototype. Under the guidance of experienced AI experts, you will translate a use case into a technical solution, including architecture, working components and a convincing pitch.
You go through the entire development process: brainstorming, role assignment, building, testing and presenting. Whether you work with language models, image recognition, recommendation systems or chatbots — the focus is on building something that really works, with real data and direct feedback.
The hackathon promotes collaboration between disciplines (data, prompt engineering, back-end, front-end) and offers space to experiment, learn and accelerate within a short, intensive setting.
Learning objectives
Converting an AI use case into a workable solution and matching architecture
Distribute roles and collaborate effectively on an AI solution (data, prompt, back-end, front-end)
Build with real data and APIs, integrating LLMs, ML models or AI tools
Develop and test a functioning prototype in a short time
Present your solution convincingly to a jury or internal stakeholders
Approach and working methods
The hackathon starts with a short joint kick-off and guidance in the development of use cases. Then you work in teams on your own AI solution with support from AI coaches and technical experts. At the end of day two you pitch your working prototype to a jury or stakeholders, including a live demo.
Support is available in the areas of:
Prompt engineering
Python, front-end and back-end development
AI model integration and data pipelines
Deployment and presentation
We can also organize the hackathon around a specific theme (e.g. customer service, sustainability, policy, internal processes) or an existing dataset from your organization.
For whom
This hackathon is for AI teams, developers, data scientists, engineers and product owners who want to deepen their knowledge by building a concrete solution together. A basic knowledge of AI and technical tools is required — curiosity, collaboration and creativity are essential.
Interested in this hackathon?
Contact us for a customized setup for your team, organization or sector. We are happy to think along about themes, datasets and forms of guidance.
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