Pop-Up Lab
AI immersion. Based on research and practice. Personalized learning.
Neurona Pop-Up Lab facilities
Disconnect. Reconnect. Create.
Boost your productivity by participating in our in-person Pop-Up Lab in Malaga. Isolate yourself in our research laboratory. With an industrial psychological perspective, we build skills in artificial intelligence and related technologies. Firmly based on real-world practice and active learning.
Deepen your professional AI skills with this advanced learning lab. Explore advanced AI text tools, or work with customized image and video models.
Workflow automation, agents, audio and visual effects, create apps, and code for non-programmers...
A battery of knowledge and skill stations that are individually tailored. Every participant is carefully guided by the perspectives of industrial psychology and corporate strategy.
Example of typographic experimentation
Example of personalized video creation by AI
From analog to generative
True experiential immersion learning builds on existing knowledge and experience. Greater experience means greater results.
Scanning analog textures for AI training
Neurona Pop-Up Lab space
Our station-based approach integrates experts at each stage to ensure optimal results.
Fear of change. The anxiety is real.
We fully understand reactions to change, we work with each individual from a psychological, strategic, and ethical perspective.
Neurona Pop-Up Lab space
Neurona Pop-Up Lab space
The method: Pop-Up Lab
Our Pop-Up Labs are work and experimentation sessions where each candidate receives knowledge, guidance, and follow-up, according to their individual profile, experience, and needs.
Participants at our facilities immediately join an active research laboratory, to experiment and learn from real-life cases related to artificial intelligence and related technologies.
Participation in neurona Pop-Up Labs is designed for maximum flexibility, fully compatible with existing professional and academic commitments.
We respect AI learning through courses, workshops, or seminars. Neurona educators are qualified academics and active teachers. Our method allows you to learn through experimentation. This encourages the acquisition of knowledge in record time. You learn on a practical basis, guided by professionals with in-depth knowledge.
“Participants will gain the critical insight to distinguish effective AI solutions from ineffective ones, enabling them to confidently lead and manage AI projects.”
Intended for:
Mid-level and senior profiles without advanced programming knowledge, who need to acquire real skills across the entire artificial intelligence ecosystem.
Age, sector, or field of work are not important, although at least 5 years of work experience is recommended.
Example of automating several text AIs at once to assist in reading news articles
Creation of datasets for style training
Aim
After participating in our learning lab, each participant will be able to continue working on their own with new and improved skills. The aim is knowledge transfer to their workday and to their work teams. Booster or refresher sessions, in person or online, are additional options.
Neurona Pop-Up Lab
How it works
Users choose the duration of their participation. Sessions can be consecutive or separated in time. Online follow-ups are included.
We begin with an online session with the candidate to analyze their profile, current knowledge, and needs and expectations.
With a defined research plan the person travels to our laboratory in Malaga to begin to acquire the skills together with other researchers.
Depending on each case, online support will be provided during the knowledge transitions.
“The process is structured in stages, according to each work plan. These phases are always active; we remain in a state of ongoing research.”
Test de reconocimiento facial y de emociones
Every learning experience is unique, and we teach students to create their own personalized research and learning agenda. We avoid one-way training, which only allows 5% of companies to successfully apply AI in their processes. In this article, we explain why this is the case.
