AI Regulation and Compliance Training in Bhutan

This instructor-led training in Bhutan empowers managers to navigate the obligations, governance requirements, and strategic implications of the EU AI Act. Learners will gain the skills to define strategic priorities, establish clear lines of accountability, communicate risks effectively, and construct robust governance structures to ensure compliance.

This instructor-led, live training in Bhutan (online or onsite) is designed for 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.

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.

Course objectives turn software and AI engineers into legal engineers—professionals who can build AI for legal work (eDiscovery, review, investigations).

In two days, participants will construct the full core stack: ingesting and extracting messy real-world legal data, searching and retrieving it, adding retrieval-augmented generation (RAG) with citations, ensuring privacy via a local model to prove compliance, conducting a defensible AI review with court-ready metrics, and packaging the result for deployment.

By the conclusion 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 (such as GDPR, EU AI Act, and sector standards) directly into prompts.
• Co-create 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.

Course format for participant assessment

• Interactive workshops tailored to multiple profiles (Architects, Developers, QA, Team Leaders).
• Facilitated co-construction led by an architect-consultant: participants build real, operational deliverables.
• All co-built deliverables are owned entirely by the client organization.

Course customization options

• To request a customized version of this training, please contact us to make the
  necessary arrangements.