EU AI Act Compliance for Governance and Compliance Teams Training Course

This instructor-led, live training in Kenya (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.

AI and Machine Learning are technologies advancing at a rapid pace, carrying substantial 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 who wish to grasp how to establish robust information governance practices within environments utilizing AI and machine learning.

Upon completion of this training, participants will be capable of:

• Grasping the fundamental concepts of AI and machine learning within an information governance context.
• Identifying typical areas where AI/ML are deployed in organizations alongside associated IG risks.
• Evaluating how AI/ML interacts with Data Protection Principles, records management, and data quality.
• Applying DPIAs, governance frameworks, and risk mitigation approaches to AI/ML projects.

Course Format

• Interactive lecture and discussion.
• Real-world case examples and framework analysis.
• Group activities and guided document walkthroughs.

Course Customization Options

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

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 (such as GDPR, the EU AI Act, and sector standards) directly into prompts.
• Co-build a prompt library that is validated, shared, and governed by all teams.
• Define sustainable governance, including the 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 involving Architects, Developers, QA, and Team Leaders.
• Facilitated co-construction led by an architect-consultant, enabling participants to build real, operational deliverables.
• All co-built deliverables are the exclusive property of 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 usage of artificial intelligence systems within the EU, as well as services provided to EU users.

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

Upon completing this training, participants will be able to:

• Identify prohibited AI practices under Article 4 and recognize examples within workplace systems.
• Adhere to organizational policies and safe-use procedures when interacting with AI systems.
• Report incidents, biases, or unexpected model behavior through the appropriate channels.
• Document simple compliance evidence as 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.

This course offers a technical, practical programme demonstrating how to implement engineering controls, observability, and automation necessary to satisfy EU AI Act compliance requirements.

This instructor-led, live training (available online or onsite) targets intermediate-level IT professionals who aim to establish secure, auditable pipelines and runtime safeguards to demonstrate adherence to Article 4 and related obligations.

Upon completing this training, participants will be able to:

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

Format of the Course

• Technical lectures with architecture diagrams and demonstrations.
• Hands-on labs building CI/CD pipelines and monitoring stacks.
• Practical exercises producing documentation and audit artifacts.

Course Customization Options

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

The EU AI Act establishes a regulatory framework aimed at ensuring that artificial intelligence systems are deployed in a manner that is trustworthy, safe, and transparent.

This instructor-led live training, available both online and onsite, is tailored for managers at beginner and intermediate levels who seek to comprehend the organisational obligations, governance expectations, and strategic implications of aligning with the EU AI Act.

Upon completing this course, participants will be equipped to:

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

Course Format

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

Customisation Options

• The curriculum can be tailored to suit your organisation’s specific 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.