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, and Examples.
• Encode business, security, and compliance constraints (such as GDPR, EU AI Act, and sector-specific standards) directly into prompts.
• Co-create 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 (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.

This instructor-led live training in Sweden guides beginner end users through EU AI Act compliance. Learn to identify prohibited practices, follow safe-use policies, report incidents effectively, and document simple evidence. Participants gain practical skills for daily workplace AI interactions.

This live training in Sweden supports intermediate governance, compliance, and risk professionals in building AI programs that comply with the EU AI Act. It covers interpreting obligations, developing governance workflows, assessing risks, and preparing for audits through hands-on exercises.

This hands-on training in Sweden empowers IT professionals with the engineering controls necessary for EU AI Act compliance. Participants will learn to design secure CI/CD pipelines, implement robust observability, and generate audit-ready evidence, offering practical technical strategies for teams seeking compliance.

This instructor-led session in Sweden empowers managers to navigate the complexities of EU AI Act obligations, governance, and strategic impact. Learners will discover how to establish priorities, define accountability chains, communicate risks effectively, and construct robust governance structures for full compliance.

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.

Course goals are to transform software / AI engineers into legal engineers — the individuals who can actually construct AI for legal work (eDiscovery, review, investigations).

In two days, participants will build the full core stack: ingesting and extracting messy real-world legal data, searching and retrieving it, adding retrieval-augmented generation (RAG) with citations, keeping it private on a local model and proving its integrity, running a defensible AI review with court-ready metrics, and packaging the result for deployment.