EU AI Act Compliance for Management and Leadership Training Course

This instructor-led, live training in New Zealand (online or onsite) 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 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:

• 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.

This instructor-led training in New Zealand examines the impact of AI and machine learning on data governance, compliance, and organisational risk. Participants will learn to identify governance complexities, apply DPIAs, and align AI deployments with key regulatory and ethical frameworks effectively.

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-create 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-created deliverables belong entirely to the client organisation.

Course customisation options

• To request a customised version of this training, please contact us to make the
  necessary arrangements.

This instructor-led, live training in New Zealand guides beginner end users through EU AI Act compliance. It covers identifying prohibited practices, adhering to safe-use policies, reporting incidents effectively, and documenting simple evidence. Participants will acquire practical skills for daily workplace interactions with AI.

This live training in New Zealand assists intermediate governance, compliance, and risk professionals in building AI programmes that meet the requirements of the EU AI Act. It addresses the interpretation of obligations, the development of governance workflows, risk assessment, and audit preparation through hands-on exercises.

This hands-on training in New Zealand provides IT professionals with the essential engineering controls for EU AI Act compliance. Learners will master designing secure CI/CD pipelines, implementing observability, and generating audit-ready evidence. It is ideal for teams seeking practical, technical compliance strategies.

Delegates will learn how to

• The 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 legislation, and strategies for risk management, security and safety considerations, privacy protection, and other key topics.
• Establish a foundational understanding of AI systems and their use cases, the 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 responsibly governed.
• Show comprehension of the AI lifecycle, the context in which AI risks are managed, and the implementation of responsible AI governance.
• Present awareness of unforeseen concerns related to AI and knowledge of debated issues surrounding AI governance.
• This training covers critical AI governance concepts that are also integral to the AIGP certification exam. While not purely a 'test prep' course, it is suitable for professionals planning to sit the exam, as well as those seeking to deepen their AI governance knowledge. Both the training and the exam are based on the same body of knowledge.

Course objectives aim to transform software and AI engineers into legal engineers — professionals who can build AI for legal work including eDiscovery, review, and investigations.

Over two days, participants construct the full core stack: ingesting and extracting messy real-world legal data, searching and retrieving it, adding retrieval-augmented generation (RAG) with citations, maintaining privacy via a local model, executing a defensible AI review with court-ready metrics, and packaging the result for deployment.