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AI Upskilling and Reskilling on HPC: advanced training to integrate Artificial Intelligence and supercomputing in business

Artificial Intelligence is no longer a promise. It is a practical technology that is transforming the way businesses make decisions, design products, and manage processes. Yet there is a challenge that technology alone cannot solve: the AI skills gap.

According to the World Economic Forum’s Future of Jobs Report 2025, AI is the main driver of workforce transformation in the coming years. However, the lack of AI skills and specialized talent remains the primary barrier to adoption. Companies struggle to find qualified profiles in the labor market—and even more to reskill and upskill their workforce in a structured and continuous way.

The result? Experiments that fail to scale. Proofs of concept that remain isolated. AI projects confined to a few technical teams, disconnected from the organization’s core business processes.

The problem is not the technology. It is the gap between those who develop AI and those who are expected to use it.

The AI act is changing the rules, but not enough to transform organizations

With the European AI Act, training becomes an explicit requirement: organizations that use Artificial Intelligence must ensure that the people involved have adequate AI skills and competencies. This is an important step, as it recognizes that AI governance cannot rely solely on technical controls or ex-post audits.

However, a real risk remains: interpreting this obligation in a purely defensive way. Standardized courses, generic e-learning modules, and certificates that confirm participation rather than real learning. This type of training may satisfy a regulatory requirement, but it does not help organizations effectively integrate AI into their processes and decision-making.

The real challenge lies elsewhere: turning a regulatory obligation into a strategic lever. Using training not just to reduce risk, but to create tangible business value through AI adoption.

Hybrid skills are needed, not just technical expertise

STEM skills remain essential, but they are not enough. Bringing AI from concept to real impact requires professionals capable of connecting technology, data, and algorithms with an understanding of organizational, economic, and regulatory contexts.

Critical thinking. Interpretative skills. Awareness of ethical and societal implications. An aptitude for interdisciplinary collaboration. The World Economic Forum confirms this trend: the fastest-growing skills combine technological and humanistic dimensions. In this sense, AI adoption is first and foremost a cultural transformation.

This calls for a rethink of upskilling and reskilling models. It is not simply about “teaching AI” in abstract terms, but about designing learning paths that enable people to use AI in a conscious, critical, and context-aware way—throughout its entire lifecycle: from defining use cases and assessing risks to operational integration and impact measurement.

What IT4LIA AI Factory offers for AI training

IT4LIA AI Factory offers a modular training program designed for a broad community of innovators: researchers, private-sector professionals and startups, public administrations, and AI developers. Training activities play a central role in achieving IT4LIA’s mission by spreading AI and digital skills and creating the conditions for meaningful technological and organizational change.

The courses cover a wide range of topics—from AI regulation and trustworthy, ethical AI development to data management and cybersecurity, alongside more technical and applied AI subjects.

The training offer is structured around three complementary pillars.

1) HPC access courses: training integrated into the service packages

For those who want to access IT4LIA’s supercomputing infrastructure, dedicated training pathways are available to provide the skills needed to effectively use the center’s services: from accessing HPC computing resources to data preparation, from data processing and AI model training to inference services.

This training is designed for startups, SMEs, research institutions, universities, and public administrations, and is delivered within the three service packages offered by IT4LIA, ensuring that learning is always directly connected to the practical use of the infrastructure.

Log in and read the course content to access the calculation.

2) A comprehensive training catalogue, organized around different needs

The IT4LIA training catalogue brings together all available courses, which can be filtered across three thematic areas.

  • The Horizontal Skills area covers AI ethics, data management, and cybersecurity—the essential foundations for building robust and trustworthy AI projects.
  • The Strategy and Innovation area is designed for those who need to integrate AI into decision-making processes and innovation strategies within SMEs and public administrations.
  • The Technologies and Applications area offers training programs and hackathons aimed at developing technical skills in Artificial Intelligence and High Performance Computing (HPC).

The courses are open to researchers, students, professionals, startups, public administrations, and AI developers.

To register, simply browse the courses available in the catalogue and sign up using the link provided on each course’s dedicated page.

Explore the upcoming courses in the training catalogue here.

3) Paid internships to move from theory to practice

IT4LIA offers six-month paid extracurricular internships hosted by project partners, with the goal of bridging the gap between theoretical training and AI applications. This is a concrete opportunity for those who want to enter the Artificial Intelligence sector by working on high-impact technological projects, contributing to the growth of the Italian and European AI ecosystem.

In addition to courses, the training catalogue, and internships, IT4LIA also organizes hackathons, innovation challenges, and a dedicated Learning Platform that gathers resources and materials for self-paced learning. These tools are designed to help participants apply the skills they acquire and expand the AI Factory ecosystem in Italy.

Explore the available internship opportunities here or submit a spontaneous application.

Effective AI training starts from real-world problems

The most effective learning experiences do not teach AI as an abstract concept. Instead, they integrate it within real-world constraints—industrial, regulatory, and organizational. Working on real use cases, engaging with the complexity of businesses, and measuring the impact of implemented solutions are what truly build skills that last and can be applied across different contexts.

This is the space where IT4LIA AI Factory operates: connecting companies, researchers, students, and professionals from diverse backgrounds, and supporting them in the development of practical and sustainable AI solutions.

Investing in Artificial Intelligence training is not a compliance task to be delegated solely to HR or IT departments. It is a strategic decision that directly affects competitiveness, decision-making quality, and the ability to innovate responsibly.

The real challenge in the coming years will not simply be complying with AI regulations. It will be turning those rules into a competitive advantage.

Not sure where to start?

Schedule a call with our AI and HPC experts. We will help you identify and design the training pathway best suited to your organization’s needs.

Book a meeting with our HPC and AI experts here.

Matteo Massicci, Elisa Monari, Lucia Floresta, Arnaud Céol (ICSC)

Resources

AI Upskilling and Reskilling on HPC: advanced training to integrate Artificial Intelligence and supercomputing in business

Artificial Intelligence is no longer a promise. It is a practical technology that is transforming the way businesses make decisions, design products, and manage processes. Yet there is a challenge that technology alone cannot solve: the AI skills gap.

According to the World Economic Forum’s Future of Jobs Report 2025, AI is the main driver of workforce transformation in the coming years. However, the lack of AI skills and specialized talent remains the primary barrier to adoption. Companies struggle to find qualified profiles in the labor market—and even more to reskill and upskill their workforce in a structured and continuous way.

The result? Experiments that fail to scale. Proofs of concept that remain isolated. AI projects confined to a few technical teams, disconnected from the organization’s core business processes.

The problem is not the technology. It is the gap between those who develop AI and those who are expected to use it.

The AI act is changing the rules, but not enough to transform organizations

With the European AI Act, training becomes an explicit requirement: organizations that use Artificial Intelligence must ensure that the people involved have adequate AI skills and competencies. This is an important step, as it recognizes that AI governance cannot rely solely on technical controls or ex-post audits.

However, a real risk remains: interpreting this obligation in a purely defensive way. Standardized courses, generic e-learning modules, and certificates that confirm participation rather than real learning. This type of training may satisfy a regulatory requirement, but it does not help organizations effectively integrate AI into their processes and decision-making.

The real challenge lies elsewhere: turning a regulatory obligation into a strategic lever. Using training not just to reduce risk, but to create tangible business value through AI adoption.

Hybrid skills are needed, not just technical expertise

STEM skills remain essential, but they are not enough. Bringing AI from concept to real impact requires professionals capable of connecting technology, data, and algorithms with an understanding of organizational, economic, and regulatory contexts.

Critical thinking. Interpretative skills. Awareness of ethical and societal implications. An aptitude for interdisciplinary collaboration. The World Economic Forum confirms this trend: the fastest-growing skills combine technological and humanistic dimensions. In this sense, AI adoption is first and foremost a cultural transformation.

This calls for a rethink of upskilling and reskilling models. It is not simply about “teaching AI” in abstract terms, but about designing learning paths that enable people to use AI in a conscious, critical, and context-aware way—throughout its entire lifecycle: from defining use cases and assessing risks to operational integration and impact measurement.

What IT4LIA AI Factory offers for AI training

IT4LIA AI Factory offers a modular training program designed for a broad community of innovators: researchers, private-sector professionals and startups, public administrations, and AI developers. Training activities play a central role in achieving IT4LIA’s mission by spreading AI and digital skills and creating the conditions for meaningful technological and organizational change.

The courses cover a wide range of topics—from AI regulation and trustworthy, ethical AI development to data management and cybersecurity, alongside more technical and applied AI subjects.

The training offer is structured around three complementary pillars.

1) HPC access courses: training integrated into the service packages

For those who want to access IT4LIA’s supercomputing infrastructure, dedicated training pathways are available to provide the skills needed to effectively use the center’s services: from accessing HPC computing resources to data preparation, from data processing and AI model training to inference services.

This training is designed for startups, SMEs, research institutions, universities, and public administrations, and is delivered within the three service packages offered by IT4LIA, ensuring that learning is always directly connected to the practical use of the infrastructure.

Log in and read the course content to access the calculation.

2) A comprehensive training catalogue, organized around different needs

The IT4LIA training catalogue brings together all available courses, which can be filtered across three thematic areas.

  • The Horizontal Skills area covers AI ethics, data management, and cybersecurity—the essential foundations for building robust and trustworthy AI projects.
  • The Strategy and Innovation area is designed for those who need to integrate AI into decision-making processes and innovation strategies within SMEs and public administrations.
  • The Technologies and Applications area offers training programs and hackathons aimed at developing technical skills in Artificial Intelligence and High Performance Computing (HPC).

The courses are open to researchers, students, professionals, startups, public administrations, and AI developers.

To register, simply browse the courses available in the catalogue and sign up using the link provided on each course’s dedicated page.

Explore the upcoming courses in the training catalogue here.

3) Paid internships to move from theory to practice

IT4LIA offers six-month paid extracurricular internships hosted by project partners, with the goal of bridging the gap between theoretical training and AI applications. This is a concrete opportunity for those who want to enter the Artificial Intelligence sector by working on high-impact technological projects, contributing to the growth of the Italian and European AI ecosystem.

In addition to courses, the training catalogue, and internships, IT4LIA also organizes hackathons, innovation challenges, and a dedicated Learning Platform that gathers resources and materials for self-paced learning. These tools are designed to help participants apply the skills they acquire and expand the AI Factory ecosystem in Italy.

Explore the available internship opportunities here or submit a spontaneous application.

Effective AI training starts from real-world problems

The most effective learning experiences do not teach AI as an abstract concept. Instead, they integrate it within real-world constraints—industrial, regulatory, and organizational. Working on real use cases, engaging with the complexity of businesses, and measuring the impact of implemented solutions are what truly build skills that last and can be applied across different contexts.

This is the space where IT4LIA AI Factory operates: connecting companies, researchers, students, and professionals from diverse backgrounds, and supporting them in the development of practical and sustainable AI solutions.

Investing in Artificial Intelligence training is not a compliance task to be delegated solely to HR or IT departments. It is a strategic decision that directly affects competitiveness, decision-making quality, and the ability to innovate responsibly.

The real challenge in the coming years will not simply be complying with AI regulations. It will be turning those rules into a competitive advantage.

Not sure where to start?

Schedule a call with our AI and HPC experts. We will help you identify and design the training pathway best suited to your organization’s needs.

Book a meeting with our HPC and AI experts here.

Matteo Massicci, Elisa Monari, Lucia Floresta, Arnaud Céol (ICSC)