AI Regulation and Compliance Training in Sud-Vest

The EU AI Act serves as a comprehensive regulatory framework that outlines specific obligations for organizations developing, deploying, or managing AI systems.

This instructor-led, live training session (available online or onsite) is designed for governance, compliance, and risk professionals at an intermediate level who aim to build, assess, and sustain AI governance programs that align with the EU AI Act.

Upon completing this course, participants will be equipped to:

• Interpret regulatory requirements and map them to internal control measures.
• Create documentation, establish governance mechanisms, and design compliance workflows.
• Evaluate AI risks, monitor systems, and conduct ongoing compliance checks.
• Prepare the organization for both internal and external audits mandated by the EU AI Act.

Course Format

• Regulatory briefings supported by real-world case studies.
• Practical exercises focused on mapping controls and drafting compliance documentation.
• Workshop-style sessions dedicated to risk analysis and audit preparation.

Course Customization Options

• The content can be tailored to fit the organization’s sector, level of regulatory exposure, and AI maturity.

The EU AI Act is a regulatory framework designed to ensure trustworthy, safe, and transparent deployment of AI systems.

This instructor-led, live training (online or onsite) is aimed at beginner-level and intermediate-level managers who wish to understand organisational obligations, governance expectations, and strategic implications of aligning with the EU AI Act.

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

• Interpret the EU AI Act’s requirements in a management context.
• Define strategic priorities and investment areas to support compliance.
• Establish governance structures, accountability lines, and oversight mechanisms.
• Communicate obligations, risks, and expectations across business units.

Format of the Course

• Instructor-led presentations supported by case studies.
• Group discussions and scenario-based decision-making activities.
• Practical exercises focused on governance planning and documentation.

Course Customization Options

• The curriculum can be adapted to your organisation’s sector, maturity level, and governance model.

This course offers a technical, hands-on approach to implementing the engineering controls, observability, and automation necessary to meet compliance obligations under the EU AI Act.

Delivered as instructor-led live training (available online or onsite), this programme targets intermediate-level IT professionals seeking to establish secure, auditable pipelines and runtime safeguards that demonstrate compliance with Article 4 and associated obligations.

Upon completing this training, participants will be equipped to:

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

Course Format

• Technical lectures supported by architecture diagrams and live demonstrations.
• Hands-on labs focused on building CI/CD pipelines and monitoring stacks.
• Practical exercises designed to produce documentation and audit artifacts.

Customization Options

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

The EU AI Act establishes a regulatory framework governing the development, deployment, and utilization of artificial intelligence systems within the EU, as well as services provided to EU-based users.

This instructor-led training session, available both online and onsite, is designed for beginner-level end users who seek to comprehend their responsibilities and adhere to safe practices under the EU AI Act.

After completing this training, participants will be able to:

• Recognize prohibited AI practices outlined in Article 4 and identify instances within workplace systems.
• Adhere to organizational policies and safe-use protocols when engaging with AI systems.
• Report incidents, biases, or unexpected model behaviors through the appropriate channels.
• Maintain simple compliance evidence as requested by supervisors or auditors.

Course Format

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

Customization Options

• Content can be adapted to align with your organization’s AI inventory, policies, and reporting mechanisms.

Artificial Intelligence (AI) and Machine Learning (ML) are rapidly advancing technologies that have profound implications for data governance and organizational compliance.

This instructor-led live training, available online or onsite, is designed for governance, privacy, and compliance professionals at an intermediate level who want to learn how to establish robust information governance practices within AI and machine learning environments.

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

• Grasp the fundamental concepts of AI and machine learning within the context of information governance.
• Recognize common areas where AI/ML is applied in organizations and identify associated governance risks.
• Assess how AI/ML interacts with data protection principles, records management, and data quality standards.
• 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 examples and frameworks.
• Collaborative group activities and guided document reviews.

Course Customization Options

• To request a tailored version of this course, please contact us to make arrangements.

This instructor-led, live training in Sud-Vest (online or on-site) 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.

Participants will learn how to

• The AIGP training instructs on how to develop, integrate, and deploy trustworthy AI systems in accordance 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 key topics.
• Establish foundational knowledge of AI systems, their use cases, the impact of AI, and comprehension of responsible AI principles.
• Demonstrate 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.
• Present 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.

Course objectives turn software and AI engineers into legal engineers – the people who can actually build AI for legal work (eDiscovery, review, investigations).

In two days, participants build the full core stack: ingest and extract messy real-world legal data, search and retrieve it, add retrieval-augmented generation (RAG) with citations, keep it private on a local model and prove it, run a defensible AI review with court-ready metrics, and package the result for deployment.

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

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