Understanding AI Risks

Gain a clear overview of AI-related risks, including technical, ethical, legal, and societal risks, as defined in ISO/IEC 23894:2023.

Practical AI Risk Management

Learn how to identify, analyze, evaluate, and treat AI risks across the AI system lifecycle using a structured, standard-based approach.

Supporting Trustworthy & Responsible AI

Understand how ISO/IEC 23894:2023 supports governance, accountability, and trust in AI systems and complements broader AI frameworks and regulations.

About the course

This training course provides a practical introduction to ISO/IEC 23894:2023, the international standard focused on risk management for artificial intelligence. Participants will learn how to apply risk management principles specifically to AI systems, addressing uncertainties, potential impacts, and unintended consequences. The course explains how ISO/IEC 23894:2023 supports informed decision-making, responsible AI deployment, and organizational governance. The training is suitable for professionals involved in AI development, deployment, assessment, risk management, compliance, and AI governance.

Vladimir Babkin

Experienced AI and IT Project Manager with a strong background in leading complex technology and innovation projects. Skilled in artificial intelligence, digital transformation, and process optimization, using tools such as ChatGPT, Copilot, Tableau, Power BI, JIRA, and Azure. Certified in Agile, SAFe, and PMI PMBOK methodologies with proven expertise in managing scope, risks, and budgets. Passionate about data analysis, automation, and integrating AI solutions into business workflows. Currently working in certification and information security management, providing expert consulting, auditor training, and coordination of international certification projects. A proactive tutor and mentor focused on AI technologies, IT project management, and innovation, and an active member of the AI community in Prague.

Curriculum

  1. 1

    1.- Understanding Risk Management

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  2. 2

    2.- Framework and Principles

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    3.- Risk Management in the AI Lifecycle

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    4.- Building a Risk Management System

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    5.- Regulatory Considerations and Compliance

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  6. 6

    6.- Conclusion and Q&A

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What people are saying

Testimonials build trust — fast. Real Feedback. Real Results.

I really appreciated the interactive quizzes throughout the LL-C e-learning course. They helped me confirm my understanding and made the learning process more engaging. Daniele N.
Daniele N.

Auditor, Italy

I really appreciated the interactive quizzes throughout the LL-C e-learning course. They helped me confirm my understanding and made the learning process more engaging. Daniele N.
Martina Č.

Auditor ISMS, Czech Republic

The overall quality of the LL-C Certification training was excellent. The content was well-prepared, professional, and very useful for my ISO knowledge.
Leo K.

Auditor ISMS, Germany

Build confidence in managing AI risks and apply ISO/IEC 23894:2023 in practice.

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