EU AI Act Compliance for End Users Training Course

This instructor-led, live training in Bulgaria (online or onsite) is designed for intermediate-level AI professionals, business leaders, and compliance officers who aim to understand and implement ethical practices in AI systems. The course examines 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 program in Bulgaria examines the impact of AI and machine learning on data governance, compliance, and organizational risk. Participants will gain the ability to identify governance hurdles, apply DPIAs, and align AI deployments with essential regulatory and ethical standards.

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: 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 Bulgaria empowers intermediate governance, compliance, and risk professionals to build AI governance programs aligned with the EU AI Act. It covers interpreting regulatory duties, establishing governance workflows, assessing risks, and preparing for audits through practical, hands-on exercises.

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

This instructor-led training in Bulgaria assists managers in comprehending EU AI Act obligations, governance requirements, and strategic consequences. Learners will acquire the skills to set priorities, establish accountability, convey risks, and construct governance structures 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.

The course objective is to transform software and AI engineers into legal engineers — professionals capable of constructing AI solutions for legal tasks such as eDiscovery, document review, and investigations.

During the two-day session, participants construct a complete core stack: they ingest and extract complex real-world legal data, implement search and retrieval mechanisms, integrate Retrieval-Augmented Generation (RAG) with source citations, ensure privacy through local models, and demonstrate defensibility. The course also covers running auditable AI reviews using court-admissible metrics and packaging the solution for deployment.