Which tech AI systems are high-risk under the EU AI Act?

AI systems used as safety components in critical infrastructure, biometric identification systems, and AI used for employment decisions (including automated code review for performance evaluation) can be classified as high-risk (Article 6). Additionally, general-purpose AI (GPAI) models with systemic risk face additional obligations. Tech companies building or deploying these systems must ensure conformity assessments, maintain technical documentation, implement risk management systems (Article 9), and provide for human oversight (Article 14).

How do we manage shadow AI adoption across engineering teams?

Shadow AI is one of the biggest governance risks in tech organizations. Developers adopt AI coding assistants, teams spin up LLM integrations, and data scientists experiment with new models, often without IT or compliance oversight. Our training helps your organization build an AI usage policy, implement tool approval workflows aligned with AI literacy obligations (Article 4), and create governance structures that enable innovation without ungoverned risk. See the tech sector guide for more.

Can we customize the training for our organization?

Yes, we build custom modules around your internal policies, AI use cases, and tech-specific requirements. Your team gets training that reflects your actual development-stack, deployment-pipelines, and security protocols.

What compliance documentation do we get?

Per-employee completion certificates, department-level compliance dashboards, and exportable reports with training dates, scores, and certifications. Everything a regulator or auditor needs to verify AI literacy compliance under Article 4 of the EU AI Act. Access ready-made templates and checklists for your technical documentation.

How does team onboarding work?

Add your team via CSV upload or SSO integration. Assign tech-specific learning paths per role. Your team can start learning the same day, self-paced, no scheduling needed.

What if our tech team has different roles with different AI needs?

LearnWize offers role-based learning paths for tech. Software engineers focus on AI coding assistants, prompt injection defense, and responsible AI integration. Data engineers and MLOps teams learn about pipeline governance, model lifecycle management, and GPAI compliance. CTOs and engineering managers get strategic content on AI governance frameworks, shadow AI management, and conformity assessment processes. Each role receives hands-on, technically relevant training.

Sector Specialization

AI for Tech & IT

AI-assisted development, data engineering, cybersecurity, prompt injection defense, responsible AI deployment, and EU AI Act compliance for tech professionals.

5 tracks

15+ modules

English + Dutch

Tech and IT professionals are at the frontline of the AI revolution. From software engineers using AI coding assistants like GitHub Copilot and Cursor to data teams building ML pipelines, from cybersecurity analysts defending against AI-powered attacks to DevOps engineers deploying AI systems in production, every role in tech is being reshaped. But with great power comes great responsibility: prompt injection attacks threaten AI-powered applications, biased training data corrupts model outputs, and shadow AI adoption creates ungoverned risk. Under the EU AI Act, many AI systems built by tech companies fall under high-risk classification, requiring conformity assessments, technical documentation, and human oversight. This specialization equips tech professionals with both the practical skills to leverage AI effectively and the governance knowledge to deploy it responsibly. Whether you are building AI systems, integrating them into products, or securing infrastructure against AI-powered threats, this is your comprehensive guide. For the full regulatory framework, see the technology sector guide.

Tech and IT AI readiness

Tech teams need AI literacy for building, buying, securing, and governing AI.

Developers, data teams, security, product, and IT operations already use AI assistants, automation, and model-powered features. Without shared literacy, shadow AI, prompt injection, data leakage, weak documentation, and unclear ownership spread quickly.

Use cases already in scope

AI coding assistants, internal copilots, support automation, data pipelines, model integrations, cybersecurity workflows, and product AI features.

Training focus

Secure AI development, prompt-injection defense, data boundaries, documentation, monitoring, human review, and responsible release practices.

Best next step

Use the scan to benchmark engineering, security, data, product, and IT teams before AI usage fragments further.

What tech leaders need to prove

Teams understand AI risks across development, data, security, procurement, and operations.
Staff can identify prompt-injection, data-leakage, model-quality, IP, and monitoring issues.
Training records support secure development, AI governance, vendor review, and audit readiness.

What you will learn

This specialization includes 5 focused learning tracks

AI in Tech & IT

Introduction to AI across the tech stack: how AI is reshaping software development, data engineering, cybersecurity, and IT operations.

3 modules2h

AI for Data & Analytics

Master AI-powered data pipelines: automated feature engineering, data quality monitoring, ML model lifecycle, and the governance role of data teams.

3 modules2h

AI & Cybersecurity

Navigate AI-powered threats and defenses: prompt injection, deepfake attacks, automated phishing, anomaly detection, and security for AI systems in production.

3 modules2h

AI-Assisted Software Development

Leverage AI coding assistants effectively: GitHub Copilot, Cursor, Claude Code, productivity gains, IP risks, code quality, and responsible AI-assisted development.

3 modules1h

EU AI Act for Tech Companies

Navigate EU AI Act compliance for tech: GPAI obligations, open-source exceptions, technical documentation, conformity assessments, and the CTO's governance role.

3 modules2h

Try it yourself

Experience how the learning works with a quick sector-specific challenge.

Tech & IT mini challenge

Can you spot risky AI in software teams?

Answer questions on prompt injection, GPAI, shadow AI, and AI-assisted development before reviewing a code-review AI scenario.

Prompt injection

GPAI obligations

Developer monitoring

What is included

Everything you need to master AI in your sector

5 specialized tracks from AI development to cybersecurity

Hands-on prompt injection attack and defense scenarios

AI coding assistants: productivity, IP risks, and best practices

Data pipeline governance and ML model lifecycle management

Cybersecurity in the age of AI: threats and countermeasures

Certificate upon completion

What our learners say

Professionals who are building their AI skills with LearnWize.

I use the framework in client consultations every single week

“Before LearnWize, I had bits and pieces of AI knowledge from articles and webinars but nothing structured. Now I have a practical framework I use in client consultations every week. The modules connect theory to real scenarios I recognize from my own projects. This is not just another course. It actually changed how I advise clients.”

David Lovell

Senior Consultant Privacy & Data Protection

Three modules in one evening without realizing it

“I expected dry theory and was genuinely surprised. The gamified approach makes learning almost addictive. I finished three modules in one evening without realizing it. Two weeks later, I was confidently using AI tools in my daily work and actually understanding what happens under the hood. My colleagues noticed and asked how I learned so fast.”

René van Egdom

Labour Law Jurist, Ministry of Finance

One of the few online courses where I stayed engaged from start to finish

“I have taken dozens of online courses over the years. Most I abandon halfway. LearnWize is one of the few where I was genuinely engaged from the first module to the last. Each lesson builds on the previous one, the quizzes actually test understanding, and I walked away with skills I now apply in every audit.”

Kasim Alsina

Senior Internal Auditor | CIA, CRMA, CISA

I use the framework in client consultations every single week

“Before LearnWize, I had bits and pieces of AI knowledge from articles and webinars but nothing structured. Now I have a practical framework I use in client consultations every week. The modules connect theory to real scenarios I recognize from my own projects. This is not just another course. It actually changed how I advise clients.”

David Lovell

Senior Consultant Privacy & Data Protection

Three modules in one evening without realizing it

“I expected dry theory and was genuinely surprised. The gamified approach makes learning almost addictive. I finished three modules in one evening without realizing it. Two weeks later, I was confidently using AI tools in my daily work and actually understanding what happens under the hood. My colleagues noticed and asked how I learned so fast.”

René van Egdom

Labour Law Jurist, Ministry of Finance

I use the framework in client consultations every single week

“Before LearnWize, I had bits and pieces of AI knowledge from articles and webinars but nothing structured. Now I have a practical framework I use in client consultations every week. The modules connect theory to real scenarios I recognize from my own projects. This is not just another course. It actually changed how I advise clients.”

David Lovell

Senior Consultant Privacy & Data Protection

Resources

Deepen your understanding with these guides.

AI literacy under the EU AI Act

What Article 4 means for your organization, who needs training, and what to document.

Explore the full EU AI Act

Browse the complete AI Act text with our interactive explorer on Responsible AI Platform.

Why AI change management fails

The real barriers to AI adoption and what actually changes behavior in teams.

Frequently asked questions

Common questions about this sector specialization

Ready to train your team?

Get your AI for Tech & IT team AI-literate with custom training, compliance documentation, and self-paced learning.

Not sure where to start? Find your Article 4 gaps

Free scan available

Sector-specific demo

Tailored annual program

Tech teams need AI literacy for building, buying, securing, and governing AI.

Try it yourself

Experience how the learning works with a quick sector-specific challenge.

Tech & IT mini challenge

Can you spot risky AI in software teams?

Answer questions on prompt injection, GPAI, shadow AI, and AI-assisted development before reviewing a code-review AI scenario.

Prompt injection

GPAI obligations

Developer monitoring