EU AI Act Compliance for IT, Developers & Administrators Training Course

This instructor-led, live training in Australia (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 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 (AI) and Machine Learning (ML) are technologies evolving at a rapid pace, carrying significant implications for data governance and organisational compliance.

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

By the conclusion 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 across 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 initiatives.

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 arrange.

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 use of AI systems within the EU, as well as for services provided to EU users.

This instructor-led live training (available online or onsite) is designed for beginner-level end users who wish 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 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 the simple compliance evidence required by supervisors or auditors.

Format of the Course

• 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 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 that sets out specific obligations for organisations that develop, implement, or manage AI systems.

This instructor-led, live training (delivered online or onsite) is designed for intermediate-level governance, compliance, and risk professionals who aim to build, evaluate, and sustain AI governance programs that align with the EU AI Act.

Upon completing this course, participants will be able to:

• Interpret regulatory requirements and align them with internal controls.
• Create documentation, governance frameworks, and compliance workflows.
• Evaluate AI risks, monitor systems, and conduct ongoing compliance reviews.
• Prepare the organisation for both internal and external audits under 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 for risk analysis and audit preparation.

Customisation Options

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

The EU AI Act serves as 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 organisational obligations, governance expectations, and 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 Customisation Options

• The curriculum can be adapted to your organisation’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.