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

This instructor-led, live training in Greece (online or on-site) 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 essential ethical frameworks, regulatory standards such as 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:

• Grasp the fundamental principles of responsible AI, encompassing fairness, accountability, and transparency.
• Detect and address biases present in AI systems.
• Deploy ethical frameworks and perform AI audits to ensure compliance.
• Utilize governance strategies to manage ethical risks associated with AI deployment.

Upon completion 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 structures: including the Prompt Curator role, naming conventions, versioning protocols, and quality metrics.
• Depart with concrete deliverables: Library v1.0, Governance Charter, and a 30-Day Deployment Plan.

Participant Assessment Course Format:

• Interactive workshops designed for multiple profiles (Architects, Developers, QA, 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 Greece guides beginner end users through EU AI Act compliance. Participants learn to identify prohibited practices, adhere to safe-use policies, effectively report incidents, and document essential evidence. Attendees will acquire practical skills for managing daily workplace interactions with AI.

This live training in Greece supports mid-level governance, compliance, and risk experts in constructing AI programs that meet EU AI Act standards. It encompasses interpreting regulatory duties, creating governance workflows, evaluating risks, and preparing for audits through hands-on practice.

This hands-on training in Greece 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 Greece empowers managers to grasp EU AI Act obligations, governance requirements, and strategic implications. Participants will learn to define priorities, establish accountability lines, communicate risks, and build robust governance structures for compliance.

Delegates will learn how to

• Utilize AIGP training to develop, integrate, and deploy trustworthy AI systems in alignment 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 key 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.
• Apply critical AI governance concepts that are integral to the AIGP certification exam. While this training is not solely a 'test prep' course, it is appropriate for professionals planning to certify, as well as those wishing to deepen their AI governance knowledge. Both the training and the exam are based on the same body of knowledge.

Course objectives transform software and AI engineers into legal engineers — professionals capable of building AI for legal work (eDiscovery, review, investigations).

Over two days, participants construct the full core stack: ingesting and extracting messy real-world legal data, searching and retrieving it, implementing retrieval-augmented generation (RAG) with citations, ensuring privacy via local models, executing defensible AI reviews with court-ready metrics, and packaging the result for deployment.