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

This instructor-led, live training in Sweden (online or onsite) is designed for intermediate-level AI professionals, business leaders, and compliance officers seeking to understand and apply ethical practices within AI systems. The curriculum explores key ethical frameworks, regulatory standards such as the EU AI Act, and practical methods for auditing AI systems to reduce bias and improve transparency.

Upon completing this training, participants will be able to:

• Grasp the core principles of responsible AI, including fairness, accountability, and transparency.
• Identify and mitigate biases within AI systems.
• Implement ethical frameworks and perform 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, Examples).
• Encode business, security, and compliance constraints (GDPR, EU AI Act, sector standards) directly into prompts.
• Co-build a prompt library that is 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 utilization of AI systems within the EU, as well as services provided to EU-based 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 completion of this training, participants will be able to:

• Identify prohibited AI practices under Article 4 and recognize examples in workplace systems.
• Follow organizational policies and safe-use procedures when interacting with AI systems.
• Report incidents, biases, or unexpected model behavior 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 organization’s AI inventory, policies, and reporting channels.

The EU AI Act represents a comprehensive regulatory framework that outlines specific obligations for organizations that develop, deploy, or oversee artificial intelligence systems.

This instructor-led training, available online or on-site, is designed for intermediate-level professionals in governance, compliance, and risk management who aim to build, evaluate, and sustain AI governance programs that align with the requirements of the EU AI Act.

Upon completing this course, participants will be equipped to:

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

Format of the Course

• Regulatory briefings supported by real-world examples.
• Hands-on exercises focused on mapping controls and drafting compliance documents.
• Workshop-style activities dedicated to risk analysis and audit preparation.

Course Customization Options

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

This course offers a practical, technical programme designed to guide you through implementing the engineering controls, observability measures, and automation necessary to comply with the EU AI Act.

Delivered as instructor-led live training (available online or onsite), it targets intermediate-level IT professionals looking to establish secure, auditable pipelines and runtime safeguards that demonstrate adherence to Article 4 and other related obligations.

Upon completing this training, participants will be equipped to:

• Design CI/CD pipelines that embed governance checks and automated tests to prevent prohibited practices.
• Set up logging, monitoring, and audit trails to generate necessary compliance evidence.
• Apply technical mitigations for high-risk behaviours and configure effective 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 adapted to align with your organization’s specific toolchain, cloud provider, and internal compliance workflows.

The EU AI Act establishes a regulatory framework aimed at ensuring the trustworthy, safe, and transparent deployment of artificial intelligence systems.

This instructor-led training, available both online and on-site, is designed for managers at beginner to intermediate levels who seek to comprehend the organisational obligations, governance expectations, and strategic implications of aligning with the EU AI Act.

Upon completing 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.
• 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 Customization Options

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

Delegates will learn how to:

• The AIGP training curriculum teaches how to develop, integrate, and deploy trustworthy AI systems in alignment with emerging laws and policies. It provides an overview of AI technology, a survey of current legal landscapes, and strategies for risk management, security and safety considerations, privacy protection, and other relevant topics.
• Establish a foundational understanding of AI systems, their use cases, the broader impacts of AI, and the principles underpinning responsible AI.
• Demonstrate comprehension of how both current and emerging laws apply to AI systems, and how major governance frameworks can be effectively implemented.
• Show understanding of the AI life cycle, the context in which AI risks are managed, and the practical implementation of responsible AI governance.
• Demonstrate awareness of unforeseen concerns related to AI, knowledge of debated issues surrounding AI governance.
• Master critical AI governance concepts that are also integral to the AIGP certification exam. While not strictly a 'test prep' course, this training is suitable for professionals planning to certify 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.