EU AI Act Compliance for End Users Training Course

This instructor-led live training in Uzbekistan (online or onsite) is designed for intermediate-level AI professionals, business leaders, and compliance officers seeking to understand and apply ethical practices within AI systems. The curriculum explores key ethical frameworks, regulatory standards such as the EU AI Act, and practical methods for auditing AI systems to reduce bias and improve transparency.

Upon completion of this training, participants will be capable of:

• Grasping the core principles of responsible AI, including fairness, accountability, and transparency.
• Identifying and mitigating biases within AI systems.
• Implementing ethical frameworks and conducting AI audits to ensure compliance.
• Applying governance strategies to manage ethical risks associated with AI deployment.

This instructor-led training in Uzbekistan examines the influence of AI and machine learning on data governance, compliance, and organizational risk. Learners will discover how to pinpoint governance obstacles, apply DPIAs, and ensure AI deployments align seamlessly with essential 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 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 training in Uzbekistan assists intermediate governance, compliance, and risk professionals in constructing AI programs that comply with the EU AI Act. The course addresses the interpretation of regulatory obligations, the creation of governance workflows, risk evaluation, and audit preparation through hands-on activities.

This hands-on training in Uzbekistan empowers IT professionals with the engineering controls essential for EU AI Act compliance. Participants will learn to design secure CI/CD pipelines, implement observability, and generate audit-ready evidence. It is ideal for teams seeking practical, technical compliance strategies.

This instructor-led training in Uzbekistan empowers managers to navigate EU AI Act obligations, governance requirements, and strategic impacts. Participants will learn to set priorities, establish clear accountability lines, communicate risks effectively, and build comprehensive governance structures for full compliance.

Delegates will learn how to

• The AIGP training teaches how to develop, integrate, and deploy trustworthy AI systems in alignment with emerging laws and policies. The curriculum offers an overview of AI technology, an analysis of current legislation, and strategies for risk management, security, safety, privacy protection, and related topics.
• Build foundational knowledge of AI systems, their use cases, societal impacts, and the core principles of responsible AI.
• Demonstrate understanding of how current and emerging laws apply to AI systems and how major frameworks can be responsibly governed.
• Show comprehension of the AI lifecycle, the context in which AI risks are managed, and the practical implementation of responsible AI governance.
• Gain awareness of unforeseen AI-related concerns and debated governance issues.
• This training covers critical AI governance concepts that are integral to the AIGP certification exam. While not purely a “test preparation” course, it is ideal for professionals planning to take the certification exam as well as those seeking to deepen their AI governance expertise. Both the training and the exam are based on the same body of knowledge.

The course goals turn software and AI engineers into legal engineers—professionals who can actually construct AI for legal work, including eDiscovery, review, and investigations.

In two days, participants build 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 a local model to prove security, running a defensible AI review with court-ready metrics, and packaging the result for deployment.