The Artificial Intelligence Compliance Professional (AICP) Training course is provided by HPE Polska, an ATO of PeopleCert.
Overview
This comprehensive course prepares you to navigate the complex landscape of AI regulation and compliance under the EU Artificial Intelligence Act. You gain deep expertise in understanding AI risk classifications, implementing governance frameworks, ensuring ethical AI development, and maintaining regulatory compliance across public and private sectors. You learn through practical experience with hands-on assignments that demonstrate real-world application of AI compliance principles.
The course covers six critical areas:
Understanding the context and depth of the AI Act
Implementing trustworthy AI principles
Applying ethical AI frameworks
Navigating AI compliance in practical scenarios across various industries
Leveraging international standards and frameworks to support compliance efforts
The blended learning approach provides exclusive access to six short pre-learning videos (about 1 hour in total), which cover the theoretical foundation. With that nearly all classroom time can practically be used for risk classification workshops, compliance framework building, and real case studies.
Audience
This course is ideal for AI compliance officers, legal professionals, data protection officers, risk management professionals, IT governance specialists, AI developers and engineers, and business leaders responsible for AI implementation and oversight.
Objectives
After completing this course, you should be able to:
Understand the purpose, scope, and key provisions of the EU AI Act
Classify AI systems according to risk levels (unacceptable, high-risk, limited risk, minimal risk)
Identify and fulfill obligations for AI providers, deployers, and other stakeholders
Implement data governance practices compliant with Article 10 of the AI Act
Conduct fundamental rights impact assessments (FRIA) for high-risk AI systems
Apply transparency and accountability requirements to AI systems
Recognize prohibited AI practices and understand penalty structures
Navigate AI compliance across different sectors (healthcare, finance, employment, public administration)
Integrate European and international standards (ISO 42001, ISO 23894, NIST AI RMF) into compliance frameworks
Establish governance structures and oversight mechanisms for AI systems
Implement ethical AI principles including fairness, bias mitigation, and human oversight
Manage incident reporting and response procedures for AI systems
Konspekt
Module 1: Context of the EU AI Act
Purpose and scope of the EU AI Act
Primary objectives: smooth functioning of internal market and promotion of human-centered AI
Scope of application: what is covered and what is excluded
Key definitions and stakeholder roles (provider, deployer, importer, distributor, etc.)
Governance structure at EU, national, and operational levels
Module 2: EU AI Act in Depth
Key provisions and regulatory framework
Risk-based classification system
Unacceptable risk (prohibited AI)
High-risk AI systems (requirements and obligations)
Limited risk AI (transparency obligations)
Minimal or no risk AI
Requirements for high-risk AI systems
Product compliance and CE marking
Technical documentation requirements
Quality and risk management systems
Data governance obligations
Conformity assessments
General-purpose AI (GPAI) models and systemic risks
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