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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
- Compliance teams
- Auditors and consultants
- Teams involved in AI development and use
- Employees who use AI, as well as business, support, analysis and management teams
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
- More responsible use of AI, with stronger human validation and greater operational prudence
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.
ISO 42001 Employee Readiness
Preparation for all employees: responsible use of AI, awareness of risk and impact, reporting issues, and appropriate day-to-day behaviours.
ISO 42001 Lead Implementer
Structured implementation of AI management systems according to ISO/IEC 42001.
ISO 42001 Lead Auditor
Methodology and practice for auditing Artificial Intelligence management systems.
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.
Frequently asked questions about Artificial Intelligence
Brief answers to help choose the most suitable training in this area.
What does the Artificial Intelligence area cover?
It covers the governance, compliance, risk, implementation, control, and audit of AI systems, helping the organisation use Artificial Intelligence in a responsible, secure, and legally and organisationally aligned way.
What is the AI Act used 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 used 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 and ISO 42001 Foundation?
AI Act Foundation focuses on the regulatory framework, obligations, and risk classification. ISO 42001 Foundation introduces the management system logic, with a focus on governance, control, risk, and the operation of AI.
What is the difference between ISO 42001 Employee Readiness, ISO 42001 Foundation, ISO 42001 Lead Implementer, and ISO 42001 Lead Auditor?
Employee Readiness is intended for employees who use AI in day-to-day work and focuses on responsible use, human validation, prudence, and reporting. Foundation introduces the management system. Lead Implementer develops the implementation and operation in greater depth. 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 the use of AI, improving compliance, transparency, accountability, and decision-making.
Can I ask for support in defining a training path for my role or team?
Yes. BEHAVIOUR can support the choice of the most suitable path according to the 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.