The key initiative for the Development of the CCI Academy Ecosystem
The meeting point between students and teaching professionals in the field of Industrial Cybersecurity
Discover in depth the CCI Academy Program “Development of the CCI Academy Ecosystem” from the Industrial Cybersecurity Center. This project, already established and constantly evolving, has as its central objective to enrich our solid “academic ecosystem.” Designed to attract students and teaching professionals, it offers a unique platform for the strategic exchange of knowledge, experiences, and information.
Through this initiative, we promote active collaboration between various training centers, universities, and members of the “ecosystem” in different regions of the world. This collaborative approach not only contributes to the strengthening of our connections but also plays a fundamental role in ensuring the long-term viability and sustainability of the Industrial Cybersecurity environment.
Participating in this program provides the opportunity to immerse yourself in a enriching academic context and contribute to the continuous development of our ecosystem. By joining, you will become an integral part of the history of industrial cybersecurity with CCI.
Recognize and motivate
Recognize and motivate. Recognize and motivate students, supporting their personal commitment and future professional development for continuous improvement. This approach aims to stimulate the personal and professional growth of students, providing them with the necessary support for their ongoing development.
Encourage Vocation
Encourage early student vocation to help companies meet their demand for professionals, and help students discover an innovative and high-demand profession, supported by various statistics. This benefit aims to inspire students from the beginning, opening doors to a promising career in line with labor market needs.
Support with specific material
Support trainers and students by providing specific material on industrial cybersecurity. This support translates into specialized resources that strengthen academic and practical training, preparing students to face the challenges in the field of industrial cybersecurity.
Create an active ecosystem
Create an active ecosystem among mentors, students, CCI, and industries. This approach seeks to create a dynamic network that facilitates the constant exchange of knowledge, experiences, and opportunities, thus promoting professional development and innovation in the field of industrial cybersecurity.
Program Academy Participants
Academy Mentor
This figure is responsible for representing the CCI in academic institutions (Vocational Training centers, Universities, or academies).
Their main task is to identify actors (students and teachers) with an interest in Industrial Cybersecurity who wish to be part of the project.
Academy Member
Students (from disciplines such as Industrial Engineering, Computer Science, Telecommunications, Vocational Training, or any field that encompasses IC).
Their main goal will be training and education in areas of Industrial Cybersecurity, to position themselves as recognized professionals in the sector. *Maximum age 25 years.
Registration and enrollment
Join the Academy Program through one of these two available methods:
- With an invitation code provided by a Mentor: Complete your registration on the Knowledge Platform by entering the code here*.
- By direct request to the CCI: Write to us about your motivation to be part of the project at programa.academia@cci-es.org
Academy Member Benefits
By actively participating in the program, all Academy Members will have access to a series of exclusive benefits within the CCI community.
- Access to free publications and a selection of other exclusive professional documents.
- Special prices on CCI School training courses. *Access to the maximum discount available.
- Availability and use of CCI material in projects and academic work, always with source citation.
- Access to all levels of the Recognition Program within the Student Category*
Academy Program Mentors
Mentors are an essential part of the CCI Academy Program. These passionate professionals play a fundamental role in guiding, inspiring, and fostering the growth of new talent in the field of Industrial Cybersecurity. Their value lies not only in technical expertise but also in their dedication to the academic and professional development of those about to embark on this exciting journey.
Our Mentors, equipped with an exclusive registration code, are recognized as ambassadors of excellence in Industrial Cybersecurity. By sharing their knowledge and experiences, they contribute to the formation of a dynamic and collaborative community. We are proud to have committed Mentors who not only identify talent but also cultivate the future of industrial cybersecurity.
Discover the valuable guidance they offer and the impact they generate in the CCI Academy Ecosystem!
Our mentors
Marcos Sánchez-Élez Martín
Madrid
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Cybersecurity
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Computer ethics
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Hardware design
José Luis Jiménez Izquierdo
Albacete – Castilla La Mancha
- Cybersecurity in IT / OT environments
- Safe production start-up
- Cybersecurity Regulations
Jorge Luis Abanto Garnique
Lima
- Cybersecurity and Information Management
- Specialized program in Cybersecurity Management
- Data science
- High Command Program
Aixa Zalabarria
- Telecommunications and computing
- IT Cisco Local Academy Instructor
Francisco Arcas Túnez
Higher Institute of Professional Training UCAMFP
Murcia
- Computer Engineering Degree
- Degree in Telecommunications
- Higher degree training cycle in Web Application Development
- Higher degree training cycle in Network Information Systems Administration
- Teaching in Data Networks, Cybersecurity and Mobile Application Development
José Luis Sánchez Sánchez
Alcantarilla – Murcia
- Teacher in Specialization Course in Cybersecurity in Operating Technology Environments
José Antonio Vives Bullejos
Onda – Castellón
- Electrotechnical and automatic systems
Jesús David Borre Ordosgoitia
Cartagena
- Industrial automation
- Information Security
- Software programming
- Machine learning