EU AI Act Compliance for Management and Leadership Training Course

This instructor-led, live training in South Korea (online or onsite) targets 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.

This instructor-led training in South Korea examines the influence of AI and machine learning on data governance, compliance, and organizational risk. Participants will gain the skills to identify governance challenges, execute DPIAs, and ensure AI deployments align with critical regulatory and ethical frameworks.

By the end of this training, participants will be able to:

• Master enterprise prompt architecture across 6 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.

This live, instructor-led training in South Korea empowers beginner end users to master EU AI Act compliance. Participants will learn to detect prohibited practices, adhere to safe-use guidelines, report incidents efficiently, and compile basic evidence, gaining practical skills essential for daily interactions with workplace AI.

This live training in South Korea enables mid-level governance, compliance, and risk professionals to develop AI programs compliant with the EU AI Act. The course covers interpreting regulatory obligations, establishing governance workflows, assessing risks, and preparing for audits through hands-on practical exercises.

This hands-on training in South Korea provides 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.

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 a foundational understanding of AI systems, their use cases, the impacts of AI, and the principles of responsible AI.
• Demonstrate an understanding of how current and emerging laws apply 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 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.

Course objectives transform software/AI engineers into legal engineers—those 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.