AI Regulation and Compliance Training in Christchurch

The EU AI Act is a comprehensive regulatory framework that sets out obligations for organisations developing, deploying, or overseeing AI systems.

This instructor-led, live training (available online or on-site) is designed for intermediate-level professionals in governance, compliance, and risk who wish to build, evaluate, and sustain AI governance programmes aligned with the EU AI Act.

Upon completing this course, participants will be able to:

• Interpret regulatory obligations and align them with internal controls.
• Develop documentation, governance mechanisms, and compliance workflows.
• Assess AI-related risks, monitor systems, and carry out ongoing compliance checks.
• Prepare the organisation for internal and external audits under the EU AI Act.

Course Format

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

Course Customisation Options

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

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 on-site) is tailored for beginner and intermediate-level managers seeking to understand their organisation's obligations, governance expectations, and the strategic implications of aligning with the EU AI Act.

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

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

Course Format

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

Course Customisation Options

• The curriculum can be adapted to suit your organisation's sector, maturity level, and existing governance model.

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 Customisation Options

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

The EU AI Act is a regulatory framework that establishes rules for the development, deployment, and use of AI systems within the EU and for services provided to EU users.

This instructor-led, live training (available online or on-site) is designed for beginner-level end users who wish to understand their obligations and 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 correct channels.
• Document the simple compliance evidence 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.

Course Customisation Options

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

AI and Machine Learning are rapidly evolving technologies with significant implications for data governance and organisational compliance.

This instructor-led, live training (online or onsite) is designed for intermediate-level governance, privacy, and compliance professionals who wish to understand how to implement robust information governance practices in environments leveraging AI and machine learning.

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

• Understand the core concepts of AI and machine learning within an information governance context.
• Identify typical 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.
• Apply Data Protection Impact Assessments (DPIAs), governance frameworks, and risk mitigation strategies to AI/ML projects.

Course Format

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

Course Customisation Options

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

This instructor-led, live training in Christchurch (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.

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.

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

• Master enterprise prompt architecture across six 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 that is validated, shared and governed by all teams.
• Define sustainable governance: the Prompt Curator role, naming conventions, versioning and quality metrics.
• Depart with concrete deliverables: Library v1.0, Governance Charter and a 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.