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

This instructor-led, live training in Czech Republic (online or onsite) is designed for intermediate-level AI professionals, business leaders, and compliance officers seeking 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.

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

• Comprehend 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, 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 frameworks: Prompt Curator roles, naming conventions, versioning, and quality metrics.
• Depart 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 led 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 live, instructor-led training in Czech Republic walks beginner-level end users through the essentials of EU AI Act compliance. It focuses on recognizing prohibited practices, adhering to safe-use policies, reporting incidents efficiently, and gathering basic evidence. The course equips participants with practical skills for navigating AI interactions in their daily work environment.

This live training in Czech Republic enables intermediate governance, compliance, and risk professionals to construct AI programs that comply with the EU AI Act. The curriculum covers interpreting regulatory obligations, establishing governance workflows, assessing risks, and preparing for audits through practical, hands-on exercises.

This hands-on training in Czech Republic equips IT professionals with the engineering controls required for EU AI Act compliance. Learn to design secure CI/CD pipelines, implement observability, and generate audit-ready evidence. Ideal for teams seeking practical, technical compliance strategies.

This instructor-led training in Czech Republic empowers managers to grasp the obligations, governance requirements, and strategic nuances of the EU AI Act. Attendees will acquire the skills to set strategic priorities, establish clear accountability chains, communicate risks effectively, and construct robust governance frameworks to ensure full compliance.

Delegates will learn how to

• The AIGP training teaches how to develop, integrate, and deploy trustworthy AI systems in compliance 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 a solid foundation of knowledge regarding AI systems, their applications, the impact of AI, and the principles of responsible AI.
• Demonstrate understanding of how existing and emerging legislation applies to AI systems, and how major frameworks can be responsibly governed.
• Show comprehension of the AI life cycle, the context in which AI risks are managed, and the implementation of responsible AI governance.
• Demonstrate awareness of unforeseen AI concerns 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.

Course objectives transform software / AI engineers into legal engineers — the people who can actually build AI for legal work (eDiscovery, review, investigations).

In two days, participants build the full core stack: ingest and extract messy real-world legal data, search and retrieve it, add retrieval-augmented generation (RAG) with citations, keep it private on a local model and prove it, run a defensible AI review with court-ready metrics, and package the result for deployment.