Artificial Intelligence and Machine Learning: How to Implement Good Information Governance Training Course

This instructor-led, live training in Malaysia (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.

Upon completion of this training, participants will be able to:

• Master enterprise prompt architecture across six layers: Role, Context, Constraints, Domain Standards, Format, and Examples.
• Integrate business, security, and compliance constraints (such as GDPR, EU AI Act, and sector-specific standards) directly into prompts.
• Collaboratively build a prompt library that is validated, shared, and governed by all teams.
• Establish sustainable governance models, including defining the Prompt Curator role, naming conventions, versioning protocols, and quality metrics.
• Depart with concrete deliverables: Library v1.0, a Governance Charter, and a 30-Day Deployment Plan.

Course format for participant assessment

• Interactive multi-profile workshops involving Architects, Developers, QA specialists, and Team Leaders.
• Facilitated co-construction led by an architect-consultant, enabling participants to build real, operational deliverables.
• All co-created deliverables remain the exclusive property of the client organization.

Course customization options

• To request a customized version of this training, please contact us to arrange the necessary details.

The EU AI Act is a regulatory framework that establishes rules for 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 safe practices under the EU AI Act.

Upon completion of this training, participants will be able to:

• Identify prohibited AI practices under Article 4 and recognise examples in workplace systems.
• Follow organisational policies and safe-use procedures when interacting with AI systems.
• Report incidents, biases, or unexpected model behaviour through the correct channels.
• Document 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 represents a comprehensive regulatory framework that sets out obligations for organisations involved in building, deploying, or overseeing AI systems.

This instructor-led, live training session (available online or onsite) targets intermediate-level governance, compliance, and risk professionals looking to establish, assess, and sustain AI governance programmes aligned with the EU AI Act.

Upon completing this course, participants will be able to:

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

Format of the Course

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

Course Customization Options

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

This course offers a practical, technical programme designed to demonstrate how to implement the engineering controls, observability mechanisms, and automation necessary to satisfy compliance obligations under the EU AI Act.

Delivered by an instructor, this live training (available online or onsite) targets intermediate-level IT professionals seeking to establish secure, auditable pipelines and runtime safeguards to demonstrate adherence to Article 4 and related requirements.

Upon completing this training, participants will be equipped to:

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

Course Format

• Technical lectures supported by architecture diagrams and live demonstrations.
• Hands-on labs focused on building CI/CD pipelines and monitoring stacks.
• Practical exercises aimed at producing documentation and audit artifacts.

Customization Options

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

The EU AI Act establishes a regulatory framework to guarantee the trustworthy, safe, and transparent implementation of AI systems.

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

Upon completing this course, participants will be able to:

• Interpret the requirements of the EU AI Act within a management context.
• Define strategic priorities and areas for investment to support compliance efforts.
• Establish governance structures, define accountability lines, and set up oversight mechanisms.
• Communicate obligations, risks, and expectations effectively across various business units.

Course Format

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

Course Customization 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.