Artificial intelligence is evolving at a pace that outstrips the regulatory frameworks designed to oversee it, compelling organizations to navigate a terrain where laws, technical governance, and practical application intersect. AI Regulation and Compliance addresses this challenge by converting intricate regulatory frameworks into operational, measurable, and actionable processes for those who depend on AI on a daily basis.
Our instructor-led live training courses align with the dynamics of contemporary governance: risk categorization, transparency requirements, data management standards, expectations for human supervision, and the shifting duties of deployers, providers, and end users. Participants analyze how regulations such as the EU AI Act, ISO/IEC 42001, NIST AI RMF, and emerging national models influence daily decisions—from procurement and design to frontline implementation.
Online live training conveys these concepts through an interactive remote desktop, providing teams the opportunity to test documentation workflows, assess compliance scenarios, and practice governance tasks within a controlled setting.
Onsite sessions in Sofia, whether held at customer sites or within NobleProg training centers, integrate regulation into the physical workplace, enabling participants to map obligations directly onto existing processes, industry requirements, and organizational culture.
Also known as AI Governance, AI Compliance, or AI Regulatory Readiness, this course track equips professionals to interpret obligations, mitigate risk exposure, and align organizational AI usage with the rapidly changing legal landscape.
NobleProg — Your Local Training Provider
Crystal Business Center
ул. "Осогово" 40, Sofia, Bulgaria, 1303
Crystal Business Center is located in the central part of Sofia, on the corner of "Osogovo" street. and "Todor Aleksandrov" blvd. The building is easily accessible by metro (only 50 m from Opalchenska station) and other public transport. Its total area is 8000 sq.m. The office area is 6171 sq.m.
The EU AI Act constitutes a comprehensive regulatory framework that sets out obligations for organizations involved in building, deploying, or overseeing AI systems.
This instructor-led, live training (available online or onsite) targets intermediate-level governance, compliance, and risk professionals who aim to design, evaluate, and sustain AI governance programs aligned with the EU AI Act.
Upon completing this course, participants will be able to:
Interpret regulatory obligations and map them to internal controls.
Develop documentation, governance mechanisms, and compliance workflows.
Assess AI risks, monitor systems, and perform ongoing compliance checks.
Prepare the organisation for internal and external audits under the EU AI Act.
Format of the Course
Regulatory briefings with real-world examples.
Hands-on exercises in mapping controls and drafting compliance documents.
Workshop-style activities for risk analysis and audit preparation.
Course Customization Options
This course can be adapted to the organisation’s sector, regulatory exposure, and AI maturity level.
The EU AI Act establishes a regulatory framework aimed at guaranteeing the trustworthy, secure, and transparent implementation of artificial intelligence systems.
This guided, live training session, available either online or in-person, targets beginner and intermediate-level managers eager to grasp the organizational obligations, governance expectations, and strategic implications of aligning with the EU AI Act.
Upon finishing this course, participants will be equipped to:
Analyze the EU AI Act's requirements through a managerial lens.
Identify strategic priorities and investment areas essential for compliance.
Set up governance frameworks, define accountability roles, and implement oversight mechanisms.
Effectively communicate obligations, risks, and expectations across various business units.
Course Format
Instructor-led presentations enriched with case studies.
Collaborative group discussions and scenario-based decision-making exercises.
Hands-on activities concentrating on governance planning and documentation.
Customization Options
The curriculum is adaptable to suit your organization’s specific sector, maturity level, and governance model.
This course is a technical, hands-on programme that shows how to implement engineering controls, observability, and automation required to meet the EU AI Act compliance obligations.
This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals who wish to implement secure, auditable pipelines and runtime safeguards to demonstrate compliance with Article 4 and related obligations.
After completing this training, participants will be able to:
Design CI/CD pipelines that incorporate governance checks and automated tests for prohibited practices.
Implement logging, monitoring, and audit trails to produce compliance evidence.
Apply technical mitigations for high-risk behaviours and configure runtime safeguards.
Prepare technical documentation and artifacts required for conformity assessments and audits.
Format of the Course
Technical lectures with architecture diagrams and demonstrations.
Hands-on labs building CI/CD pipelines and monitoring stacks.
Practical exercises producing documentation and audit artifacts.
Course Customization Options
Content can be tailored to your organisation’s toolchain, cloud provider, and internal compliance workflows.
The EU AI Act establishes a regulatory framework governing the development, deployment, and utilization of artificial intelligence systems within the EU, as well as for any services provided to EU-based users.
This instructor-led, live training (available online or onsite) is designed for beginner-level end users who aim to comprehend their legal obligations and adopt safe practices under the EU AI Act.
Upon completing this training, participants will be able to:
Identify AI practices prohibited under Article 4 and recognize examples within workplace systems.
Adhere to organizational policies and safe-use procedures when interacting with AI systems.
Report incidents, biases, or unexpected model behavior through the appropriate channels.
Document the basic compliance evidence required by supervisors or auditors.
Format of the Course
Interactive presentations featuring plain-language explanations of legal requirements.
Role-specific exercises and realistic workplace scenarios.
Guided practice in reporting incidents and completing simple compliance checklists.
Course Customization Options
Content can be tailored to reflect your organization’s AI inventory, policies, and reporting channels.
Artificial Intelligence (AI) and Machine Learning (ML) are technologies advancing at a rapid pace, bringing profound implications for data governance and organizational compliance.
This instructor-led live training, available either online or on-site, is designed for intermediate-level professionals in governance, privacy, and compliance. It aims to equip them with the knowledge needed to establish robust information governance practices within AI and machine learning environments.
Upon completion of this training, participants will be able to:
Grasp the fundamental concepts of AI and machine learning within the scope of information governance.
Recognize common deployment areas of AI/ML in organizations and the associated information governance risks.
Assess the interaction between AI/ML systems and Data Protection Principles, records management, and data quality standards.
Apply Data Protection Impact Assessments (DPIAs), governance frameworks, and risk mitigation strategies to AI/ML initiatives.
Course Format
Interactive lectures coupled with discussions.
Analysis of real-world case examples and governance frameworks.
Collaborative group activities and guided document reviews.
Customization Options
To request a tailored training session for this course, please reach out to us to arrange a consultation.
This instructor-led, live training in Sofia (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.
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.
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