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

This instructor-led, live training in Slovakia (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, 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 structures, including the Prompt Curator role, naming conventions, versioning protocols, 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 tailored for Architects, Developers, QA specialists, and Team Leaders.
• Facilitated co-construction led by an architect-consultant, enabling participants to build real, operational deliverables.
• All co-built deliverables remain the exclusive property of 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 Slovakia 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 Slovakia empowers intermediate governance, compliance, and risk professionals to build AI programmes that align 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 Slovakia provides IT professionals with the essential engineering controls for EU AI Act compliance. Participants will learn to design secure CI/CD pipelines, implement observability, and generate audit-ready evidence. It is ideal for teams requiring practical, technical compliance strategies.

This instructor-led training in Slovakia enables managers to navigate EU AI Act obligations, governance structures, and strategic impacts. Learners will gain the ability to set priorities, define accountability lines, communicate risks, and construct governance frameworks to ensure compliance.

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.

The course objective is to transform software and AI engineers into legal engineers—professionals who can actually construct AI solutions for legal work (eDiscovery, review, investigations).

Within 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 while proving compliance, running a defensible AI review with court-ready metrics, and packaging the result for deployment.