EU AI Act Compliance for End Users Training Course

This instructor-led, live training in Taiwan (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.

This instructor-led training in Taiwan examines the impact of AI and machine learning on data governance, compliance, and organizational risk. Participants will learn to pinpoint governance challenges, execute DPIAs, and ensure that AI deployments are aligned with essential regulatory and ethical frameworks.

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, including the Prompt Curator role, naming conventions, versioning, 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 involving Architects, Developers, QA, and Team Leaders.
• Facilitated co-construction led by an architect-consultant, enabling participants to 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 training in Taiwan enables intermediate governance, compliance, and risk professionals to construct AI programs that meet EU AI Act requirements. It addresses interpreting obligations, establishing governance workflows, evaluating risks, and preparing for audits through hands-on exercises.

This hands-on training in Taiwan empowers IT professionals with the engineering controls essential 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 Taiwan assists managers in comprehending EU AI Act obligations, governance requirements, and strategic implications. Participants will gain the skills to set priorities, establish accountability, communicate risks, and develop governance structures necessary for 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.

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

Over 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, maintaining privacy via local models to ensure verifiability, conducting a defensible AI review with court-ready metrics, and packaging the result for deployment.