Artificial Intelligence — Training and Certification

Training and Certification Area

Artificial Intelligence — Training and Certification

Artificial Intelligence is now a critical organisational capability. It is not limited to technology; it requires governance, control, accountability, legal compliance, and secure integration into business processes.

At BEHAVIOUR, this area develops competencies to understand, implement and govern AI systems responsibly, aligned with the AI Act, international standards, and practices for risk management, ethics and accountability.

The purpose of this page is to frame the area, clarify its scope, and help identify the most suitable training according to role, organisational context and intended level of AI maturity.

Who it is for

  • AI managers and leaders
  • Compliance and GRC professionals
  • IT, Digital and Innovation leaders
  • Legal professionals and compliance teams
  • Auditors and consultants
  • Teams involved in AI development and use

Typical outcomes

  • Compliance with the AI Act
  • Structured governance of AI systems
  • Reduced legal, ethical and operational risks
  • Informed decision-making on AI use
  • Organisational trust and transparency

Why Artificial Intelligence is critical

AI without governance is risk. Well-governed AI is a competitive advantage.

The adoption of Artificial Intelligence involves legal, ethical, reputational and operational risks. Maturity is measured by the ability to govern AI systems throughout their lifecycle, ensuring compliance, control, transparency and accountability.

Governance and Compliance

Structuring AI policies, roles, controls and responsibilities.

Risk and Ethics

Identification, assessment and mitigation of risks associated with AI.

Implementation and Audit

Practical application of requirements and independent conformity assessment.

What Artificial Intelligence covers

This area covers the governance cycle and responsible use of Artificial Intelligence systems. It integrates practices and requirements defined in the AI Act and international standards such as ISO/IEC 42001 — Artificial intelligence management system.

  • Legal and regulatory framework for AI
  • AI management systems
  • AI risk and impact management
  • Classification and use of AI systems
  • Control, monitoring and continual improvement
  • Audit and conformity assessment
  • Alignment between AI, business and governance

Training courses in Artificial Intelligence

Selection of courses available in this area. Each course has its own page with full detail.

Artificial Intelligence Act (AI Act) Foundation

Fundamentals of the European Artificial Intelligence regulation and its practical implications.

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ISO 42001 Foundation

Introduction to Artificial Intelligence management systems.

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ISO 42001 Lead Implementer

Structured implementation of AI management systems according to ISO/IEC 42001.

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ISO 42001 Lead Auditor

Methodology and practice for auditing Artificial Intelligence management systems.

View course

Training pathways in Artificial Intelligence

This area includes training pathways focused on governance, compliance and leadership in Artificial Intelligence.

Until dedicated pathways for this area are published, BEHAVIOUR can support the definition of the most suitable training path for professionals, teams and AI leaders.

Request support in choosing the pathway

Frequently asked questions about Artificial Intelligence

Brief answers to help choose the most suitable training in this area.

What does this area cover?

It covers governance, compliance, risk, implementation, control and audit of AI systems, helping the organisation use Artificial Intelligence responsibly, securely and in alignment with legal and organisational requirements.

What is the AI Act for?

The AI Act establishes rules for the development, placing on the market and use of AI systems in the European Union, with a focus on risk classification, obligations, transparency and control.

What is ISO/IEC 42001 for?

ISO/IEC 42001 provides a framework for implementing, operating, controlling and improving an Artificial Intelligence management system, with a focus on governance, risk, control, evidence and continual improvement.

What is the difference between AI Act Foundation, ISO 42001 Foundation, Lead Implementer and Lead Auditor?

AI Act Foundation focuses on the regulatory framework. ISO 42001 Foundation introduces the management system. Lead Implementer goes deeper into implementation and operation. Lead Auditor focuses on the methodology, planning, execution and evaluation of audits of the AI management system.

Does this area help reduce legal, ethical and operational risks?

Yes. One of the objectives of this area is to strengthen the ability to identify, assess and control risks associated with AI use, improving compliance, transparency, accountability and decision-making.

Can I request support to define a training pathway for my role or team?

Yes. BEHAVIOUR can support the selection of the most suitable pathway according to role, responsibilities, organisational context and intended level of AI maturity.

Need help choosing the right course?

We support the decision based on context, role and the intended level of AI maturity.