yeshcube Praxis 26/27

Technology & AI

Learning Program

The Technology & AI track develops applied learning in technology and digital products within an active hub project. Participation is supervised and advances alongside the program’s learning and mentoring.

Scope
Technology development, software, artificial intelligence, automation, and digital products.

Application deadline September 27, 2026 · 11:59 PM CEST

Related profiles

Engineering, computer science, software development, artificial intelligence, data science, telecommunications, and other related technology fields.

The degrees and areas listed guide the application. Selection weighs how each background relates to the track and to the hub’s active projects.

Learning

Development, digital architecture, systems integration, applied artificial intelligence, automation, testing, documentation, and technology product processes.

Project participation

Activities may include prototypes, tools, automations, integrations, testing, technology research, and other needs connected to active hub projects.

Participation does not include sole responsibility for critical systems.

The specific activity depends on the assigned project, the learning plan, and the terms established with the educational institution.

The program

Participation in any of the tracks shares the same elements.

Cross-disciplinary learning
Cohort-wide sessions on research and evidence, artificial intelligence, ethics, project management, digital tools, and professional communication.
Specialized learning
Track-specific content, adjusted to each participant’s level and learning goals.
Mentoring
Individual tutoring, track-level guidance, and periodic learning reviews.
Expert sessions
yeshcube professionals, external specialists, and profiles connected to the Allies ecosystem.
Active project
Placement from the start in an active hub project related to the track.
Assessment and final presentation
Learning review, process documentation, and a presentation connected to the work developed.

General requirements

  • Enrollment in an officially recognized program compatible with Praxis.
  • A background related to the track.
  • The possibility of formalizing a training placement with the educational institution.
  • Schedule compatibility with the agreed learning plan.
  • A functional level of Spanish.
  • Availability for the hybrid arrangement agreed with the educational institution.

Prior professional experience is not required.

Application

The form gathers the academic and availability details needed to assess the fit with the track and the feasibility of the training placement.

Track Technology & AI Change track

Details
Academic details
Training placement

State it if you know it: curricular or extracurricular internship, in-company training, or another arrangement.

State them if you know them.

Months or dates in which you can complete the placement.

Hours or time slots available per week.

Profile
CV
No file selected

CV as a PDF up to 5 MB.

Program rules and conditions

Internships and academic formalization: program information.

Data protection

You can exercise your rights or contact the Data Protection Officer at legal@yeshcube.com.

Submitting an application does not mean admission to the program. Admission is subject to selection and to formalization with the educational institution.

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