The course "Artificial Intelligence – Training Course (fundamentals and applications)" provides a thorough overview of AI fundamentals and practical applications, emphasizing risk management, governance, and compliance with European regulations (AI Act 2024/1689). Designed for professionals aiming to master key techniques such as machine learning, large language models, privacy by design, and robustness and security methods, it includes implementation of international standards ISO/IEC 42001:2023 and 23894:2023 for AI systems. Through real-world cases and scenarios, participants learn to identify and mitigate biases, optimize models, and ensure data confidentiality and reliability, enhancing AI system security and transparency. The course puts strong focus on balancing performance with generalization and adopting best practices for risk assessment and mitigation in production environments. It equips learners with deep technical skills on algorithms, models like gradient boosting and embeddings, and advanced privacy and security solutions, preparing them to engage in complex AI projects across public and private sectors.
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.