EU AI Act Compliance for Management and Leadership Training Course

This instructor-led, live training in South Africa (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 and Machine Learning are technologies that are evolving rapidly, bringing significant implications for data governance and organisational compliance.

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

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

• Grasp the core concepts of AI and machine learning within an information governance context.
• Identify common areas where AI/ML is deployed in organisations and the associated information governance risks.
• Evaluate 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.
• Real-world case studies and framework analysis.
• Group activities and guided document walkthroughs.

Course Customisation Options

• To request customised training for this course, please contact us to make arrangements.

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 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 usage of AI systems within the EU, as well as for services provided to EU-based users.

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

Upon completing this training, participants will be able to:

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

Format of the Course

• Interactive presentations featuring 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 organisation’s AI inventory, policies, and reporting channels.

The EU AI Act serves as a robust regulatory framework, setting out clear obligations for organisations involved in building, deploying, or overseeing AI systems.

This instructor-led, live training session—available both online and onsite—is designed for intermediate-level governance, compliance, and risk professionals seeking to establish, evaluate, and sustain AI governance programmes that align with the EU AI Act.

Upon completing this course, participants will be equipped to:

• Interpret regulatory obligations and map them effectively to internal controls.
• Develop comprehensive documentation, governance mechanisms, and compliance workflows.
• Assess AI-related risks, monitor systems, and conduct ongoing compliance checks.
• Prepare their organisation for both internal and external audits under the EU AI Act.

Course Format

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

Customisation Options

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

This course is a technical, hands-on programme that shows how to implement engineering controls, observability, and automation required to meet the EU AI Act compliance obligations.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals who wish to implement secure, auditable pipelines and runtime safeguards to demonstrate compliance with Article 4 and related obligations.

After 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.

What delegates will learn

• 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 a foundational understanding of AI systems, their use cases, the societal impacts of AI, and the principles of responsible AI.
• Demonstrate an understanding of how current and emerging laws apply to AI systems, and how major frameworks can be governed responsibly.
• 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 regarding 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.