AI Regulation and Compliance Training in Lyon

The EU AI Act represents a comprehensive regulatory framework that outlines the obligations for organizations developing, deploying, or supervising AI systems.

This instructor-led live training, available both online and onsite, is designed for intermediate-level governance, compliance, and risk professionals aiming to build, evaluate, and sustain AI governance programs in alignment with the EU AI Act.

Upon completing this course, participants will be able to:

• Interpret regulatory obligations and align them with internal controls.
• Create documentation, governance structures, and compliance workflows.
• Evaluate AI risks, monitor systems, and conduct ongoing compliance assessments.
• Prepare the organization for internal and external audits under the EU AI Act.

Course Format

• Regulatory briefings supported by real-world examples.
• Practical exercises focused on mapping controls and drafting compliance documents.
• Workshop-style activities for risk analysis and audit preparation.

Course Customization Options

• This course can be tailored to suit the organization’s industry sector, regulatory exposure, and level of AI maturity.

The EU AI Act establishes a regulatory framework aimed at guaranteeing the trustworthy, safe, and transparent deployment of artificial intelligence systems.

This instructor-led live training, available online or onsite, is tailored for beginner and intermediate-level managers seeking to grasp the organizational obligations, governance expectations, and strategic implications of aligning with the EU AI Act.

By the end of this course, participants will be equipped to:

• Interpret the requirements of the EU AI Act within a management context.
• Define strategic priorities and investment areas to support compliance efforts.
• Establish robust governance structures, clear accountability lines, and effective oversight mechanisms.
• Effectively communicate obligations, risks, and expectations across all business units.

Course Format

• Instructor-led presentations complemented by real-world case studies.
• Interactive group discussions and scenario-based decision-making exercises.
• Practical activities focused on governance planning and documentation.

Customization Options

• The curriculum can be tailored to fit your organization's specific sector, maturity level, and governance model.

This course is a practical, technical program that demonstrates how to implement the engineering controls, observability, and automation necessary to fulfill compliance obligations under the EU AI Act.

This instructor-led, live training (available online or onsite) is designed for intermediate-level IT professionals seeking to establish secure, auditable pipelines and runtime safeguards to demonstrate adherence to Article 4 and related requirements.

Upon completion of this training, participants will be able to:

• Design CI/CD pipelines that integrate governance checks and automated tests for prohibited practices.
• Implement logging, monitoring, and audit trails to generate compliance evidence.
• Apply technical mitigations for high-risk behaviors and configure runtime safeguards.
• Prepare the technical documentation and artifacts required for conformity assessments and audits.

Course Format

• Technical lectures featuring architecture diagrams and live demonstrations.
• Hands-on labs for building CI/CD pipelines and monitoring stacks.
• Practical exercises focused on creating documentation and audit artifacts.

Customization Options

• Content can be tailored to your organization’s specific toolchain, cloud provider, and internal compliance workflows.

The EU AI Act is a regulatory framework establishing rules for the development, deployment, and use of AI systems within the EU, as well as for services provided to EU users.

This instructor-led live training (available online or onsite) is designed for beginner-level end users who wish to understand their obligations and safe practices under the EU AI Act.

Upon completion of this training, participants will be able to:

• Identify prohibited AI practices under Article 4 and recognize examples in workplace systems.
• Follow organizational policies and safe-use procedures when interacting with AI systems.
• Report incidents, biases, or unexpected model behavior through the correct channels.
• Document simple compliance evidence required by supervisors or auditors.

Course Format

• Interactive presentations with plain-language explanations of legal requirements.
• Role-specific exercises and realistic workplace scenarios.
• Guided practice in reporting incidents and completing simple compliance checklists.

Customization Options

• Content can be tailored to reflect your organization’s AI inventory, policies, and reporting channels.

Artificial Intelligence and Machine Learning are technologies evolving at a rapid pace, carrying significant implications for data governance and organizational compliance.

This instructor-led live training, available online or onsite, is designed for intermediate-level governance, privacy, and compliance professionals seeking to understand how to establish robust information governance practices within environments that utilize AI and machine learning.

Upon completion of this training, participants will be equipped to:

• Grasp the fundamental concepts of AI and machine learning within the context of information governance.
• Recognize typical organizational areas where AI/ML is deployed and identify the associated Information Governance (IG) risks.
• Evaluate the interaction between AI/ML and Data Protection Principles, records management, and data quality.
• Apply Data Protection Impact Assessments (DPIAs), governance frameworks, and risk mitigation strategies to AI/ML initiatives.

Course Format

• Interactive lectures and discussions.
• Analysis of real-world case studies and frameworks.
• Group activities and guided walkthroughs of relevant documents.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

This instructor-led, live training in Lyon (online or onsite) is aimed at intermediate-level AI professionals, business leaders, and compliance officers who wish to understand and implement ethical practices in AI systems. The course covers key ethical frameworks, regulatory standards like the EU AI Act, and practical techniques for auditing AI systems to mitigate bias and enhance transparency.

By the end of this training, participants will be able to:

• Understand core principles of responsible AI, including fairness, accountability, and transparency.
• Identify and mitigate biases within AI systems.
• Implement ethical frameworks and conduct AI audits for compliance.
• Apply governance strategies to manage ethical risks in AI deployment.

Delegates will learn how to

• AIGP training teaches how to develop, integrate, and deploy trustworthy AI systems in line with emerging laws and policies. The curriculum provides an overview of AI technology, a survey of current law, and strategies for risk management, security and safety considerations, privacy protection, and other topics.
• Establish foundational knowledge of AI systems and their use cases, the impacts of AI, and comprehension of responsible AI principles.
• Demonstrate an understanding of how current and emerging laws apply to AI systems, and how major frameworks are capable of being responsibly governed.
• Show comprehension of the AI life cycle, the context in which AI risks are managed, and the implementation of responsible AI governance.
• Presents awareness of unforeseen concerns with AI and knowledge of debated issues surrounding AI governance.
• This training teaches critical AI governance concepts that are also integral to the AIGP certification exam. While not purely a “test prep” course, this training is appropriate for professionals who plan to certify, as well as for those who want to deepen their AI governance knowledge. Both the training and the exam are based on the same body of knowledge.

By the end of this training, participants will be able to:

• Master enterprise prompt architecture across six layers: Role, Context, Constraints, Domain Standards, Format, and Examples.
• Encode business, security, and compliance constraints (GDPR, EU AI Act, sector standards) directly into prompts.
• Co-build a prompt library that is validated, shared, and governed by all teams.
• Define sustainable governance mechanisms: Prompt Curator role, naming conventions, versioning, and quality metrics.
• Leave with concrete deliverables: Library v1.0, Governance Charter, and a 30-Day Deployment Plan.

Course format for participant assessment

• Interactive multi-profile workshops (Architects, Developers, QA, Team Leaders).
• Facilitated co-construction by an architect-consultant: participants build real, operational deliverables.
• All co-built deliverables belong entirely to the client organization.

Course customization options

• To request a customized version of this training, please contact us to make the
  necessary arrangements.