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

This instructor-led, live training in Norway (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.

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

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

Course format for participant assessment

• Interactive multi-profile workshops involving Architects, Developers, QA, and Team Leaders.
• Facilitated co-construction by an architect-consultant, enabling participants to 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 arrange the necessary preparations.

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 offered to EU users.

This instructor-led, live training (online or onsite) is aimed at 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 serves as a comprehensive regulatory framework outlining obligations for organisations that build, deploy, or oversee AI systems.

This instructor-led, live training (available online or onsite) targets intermediate-level governance, compliance, and risk professionals aiming to establish, 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 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.

Course Format

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

Customisation Options

• The course content can be tailored to align with the organisation’s specific sector, regulatory exposure, and AI maturity level.

This technical, hands-on program demonstrates how to implement the engineering controls, observability mechanisms, and automation necessary to fulfill compliance obligations under the EU AI Act.

Offered as instructor-led live training (available online or on-site), this course is designed for intermediate-level IT professionals aiming to establish secure, auditable pipelines and runtime safeguards that demonstrate adherence to Article 4 and related requirements.

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

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

Course Format

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

Course Customization Options

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

The EU AI Act represents a regulatory framework aimed at guaranteeing the trustworthy, secure, and transparent implementation of artificial intelligence systems.

This live, instructor-led training (available online or onsite) is tailored for beginner and intermediate-level managers seeking to grasp the organizational duties, governance standards, and strategic consequences of aligning with the EU AI Act.

Upon finishing this course, participants will be equipped to:

• Understand the EU AI Act’s mandates within a managerial context.
• Identify strategic priorities and investment zones to facilitate compliance.
• Implement governance frameworks, define accountability hierarchies, and establish oversight mechanisms.
• Convey obligations, risks, and expectations across various business units.

Course Format

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

Customization Options

• The curriculum can be tailored to fit your organization’s sector, maturity stage, 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.