EU AI Act Compliance for End Users Training Course

This instructor-led, live training in Brazil (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 explores key ethical frameworks, regulatory standards such as 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:

• Comprehend 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 rapidly advancing technologies that significantly impact data governance and organizational compliance.

This instructor-led live training, available online or on-site, is designed for governance, privacy, and compliance professionals at an intermediate level. It aims to equip them with the knowledge to implement 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 typical areas in organizations where AI/ML is deployed and identify associated information 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 projects.

Course Format

• Interactive lectures and discussions.
• Analysis of real-world case studies and frameworks.
• Group activities and guided document reviews.

Customization Options

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

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 introduces a comprehensive regulatory framework that outlines specific obligations for organizations involved in building, deploying, or overseeing AI systems.

This instructor-led live training, available online or onsite, is designed for intermediate-level governance, compliance, and risk professionals aiming to create, 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 controls.
• Develop necessary documentation, governance structures, and 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 documents.
• Workshop-style sessions dedicated to risk analysis and audit preparation.

Customization Options

• This course can be tailored to reflect your organization’s specific sector, regulatory exposure, and level of AI maturity.

This course offers a technical, hands-on program demonstrating how to implement the engineering controls, observability, and automation necessary to fulfill the compliance obligations set forth by the EU AI Act.

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

Upon completing this training, participants will be able to:

• Design CI/CD pipelines that include governance checks and automated tests to prevent prohibited practices.
• Implement logging, monitoring, and audit trails to generate evidence of compliance.
• 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 focused on building CI/CD pipelines and monitoring stacks.
• Practical exercises aimed at producing documentation and audit artifacts.

Course Customization Options

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

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

This instructor-led, live training (available online or onsite) is tailored for beginner and intermediate-level managers who wish to understand their organization's obligations, governance expectations, and the 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 organization’s sector, maturity level, and governance model.

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.