Learning Objectives
- Understand AI fundamentals in business contexts
- Acquire knowledge of AI Act and GDPR regulations
- Deepen understanding of ISO/IEC 42001 and 23894 governance standards
- Develop skills in AI risk assessment and management
The course "Artificial Intelligence for Business – Fundamentals, Use Cases and AI Governance (AI Act, ISO 42001)" provides a comprehensive overview of artificial intelligence applications within the corporate environment, focusing on governance, regulatory compliance, and risk management. Participants will gain in-depth knowledge of key European regulations such as the AI Act and GDPR, alongside international standards ISO/IEC 42001 and 23894 governing AI management systems and risk frameworks. Through the examination of real-world use cases—including fraud detection, clinical decision support, physical security video analytics, and energy optimization—the course addresses operational challenges and effective governance solutions. Topics covered include transparency, data quality, impact assessment, supplier management, model lifecycle monitoring, and roles and responsibilities of involved stakeholders. The training is designed to impart practical skills and applicable methodologies for organizations, blending regulatory rigor with technological best practices. It is suitable for managers, compliance officers, IT teams, and professionals involved in deploying and managing AI solutions within business settings.
The pathway is designed for managers, executives, function owners, auditors and professionals. Lessons use validated minimum study time and a contextual tutor; assessments use server-side random selection of questions and answers, session-continuity controls, camera and local audio-activity monitoring during protected tests.
Traceability and reliability: integrity events are logged for authorized review; automated signals do not determine the result on their own.
Purpose, references, delivery method, commercial terms and certificate value, presented clearly and transparently.