EU AI Act Compliance for Management and Leadership Training Course

This instructor-led, live training in Argentina (online or onsite) is designed for 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.

Artificial Intelligence (AI) and Machine Learning (ML) are fast-evolving technologies with 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 seek to understand how to establish robust information governance practices in environments leveraging AI and ML.

Upon completing 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 deployed 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 governance frameworks.
• Group exercises and guided document walkthroughs.

Customization Options

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

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

• Master enterprise prompt architecture across 6 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 that is 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.

The EU AI Act establishes a regulatory framework governing the development, deployment, and use of AI systems within the European Union, as well as for services provided to EU-based users.

This instructor-led live training, available online or onsite, targets beginner-level end users seeking to understand their obligations and best practices under the EU AI Act.

Upon completing this training, participants will be able to:

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

Format of the Course

• 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.

Course Customization Options

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

The EU AI Act serves as a thorough regulatory framework that sets forth requirements for organizations developing, deploying, or managing AI systems.

This live, instructor-led training (available online or on-site) is designed for intermediate-level professionals in governance, compliance, and risk management who aim to create, assess, and sustain AI governance initiatives in alignment with the EU AI Act.

Upon completing this course, participants will be equipped to:

• Decode regulatory requirements and align them with internal controls.
• Create necessary documentation, governance structures, and compliance processes.
• Evaluate AI risks, oversee system performance, and conduct continuous compliance reviews.
• Prepare the organization for both internal and external audits under the EU AI Act.

Course Format

• Regulatory insights supported by real-world case studies.
• Practical exercises focused on mapping controls and drafting compliance documents.
• Workshop-style sessions for risk analysis and audit readiness.

Customization Options

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

This course offers a technical, practical approach to implementing the engineering controls, observability tools, and automation necessary to fulfill EU AI Act compliance requirements.

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

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

• Design CI/CD pipelines that include governance checks and automated testing to identify and prevent prohibited practices.
• Implement logging, monitoring, and audit trail systems to generate verifiable compliance evidence.
• Apply technical mitigations for high-risk activities and configure effective 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 aimed at producing documentation and audit-ready artifacts.

Customization Options

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

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.