EU AI Act Foundation Training Program Prelude:
The EU Artificial Intelligence Act (Regulation (EU) 2024/1689) is the world’s first comprehensive legal framework governing artificial intelligence; designed to ensure that AI systems developed, placed on the market & used in the European Union are safe, transparent, & respectful of fundamental rights.
The EU Artificial Intelligence Act is set to revolutionize how AI systems are developed, deployed & managed. It introduces a risk-based classification system by establishing specific rules for General-Purpose AI models, strengthened transparency obligations for AI-generated content & a robust governance & enforcement framework.
Training Program Summary:
The EU Artificial Intelligence Act training program equips professionals across legal, technology, compliance & leadership roles with practical knowledge to understand, interpret & implement Regulation (EU) 2024/1689. It covers the EU’s AI legal framework, risk-based classification of AI systems, prohibited practices, obligations for high-risk & general-purpose AI models, conformity assessments, transparency requirements, governance structures,
post-market monitoring & enforcement mechanisms. The training program helps organizations embed AI compliance into operations, reduce regulatory & reputational risks & align responsible AI innovation with evolving EU regulatory expectations.
“Navigate. Comply. Govern. The EU AI Act Made Practical.”
Training Program Objectives:
- Develop a clear understanding of the EU Artificial Intelligence Act (Regulation (EU) 2024/1689)
- Enable participants to identify, classify & assess AI systems
- Equip participants with the knowledge & tools to operationalize AI compliance
- Build strategic awareness of the business, legal & ethical implications of AI regulation
Key Training Takeaways:
- Fully role-based customization for Legal, Technology, Compliance & Leadership functions
- Practical focus on operationalizing the EU AI Act
- Designed for cross-industry applicability
- Equip participants to reduce legal, operational & reputational risks
Who should attend?
This program is ideal for anyone looking to understand, manage, or operate the EU AI Act within their organization or advisory roles across industries such as Legal & Regulatory Professionals, Technology & AI Teams, Compliance, Risk & Audit Professionals, Business & Product Leaders, Executives & Senior Leadership, Policy, Governance & Ethics Professionals, Consultants & Advisors.
Key Program Syllabus
PART 1: FOUNDATIONS & REGULATORY CONTEXT
Objective: Build regulatory, conceptual & risk-based understanding of the EU AI Act
Module 1: European Union Ecosystem & Law-Making Foundations
➢ EU institutions’ powers in AI rulemaking
➢ Legislative process & how AI Act becomes binding
➢ Direct applicability of EU AI regulations
➢ Role of national courts & CJEU in enforcement
➢ How EU policies influence technology design
➢ Understanding standardization bodies (CEN /CENELEC, ETSI)
➢ Regulatory mapping into internal governance frameworks
➢ How EU law impacts compliance management systems
➢ Strategic impact of EU regulatory power (“Brussels Effect”)
➢ Risk of non-compliance across global operations
Module 2: Artificial Intelligence – Concepts, Opportunities & Challenges
➢ Why AI poses new legal challenges
➢ Legal implications of algorithmic bias & automation
➢ AI lifecycle: data → model → deployment
➢ Understanding ML, DL, foundation models, GPAI
➢ Model risk types & system risks
➢ Translating technical risks into compliance risks, building AI risk categories
➢ Business opportunities vs risk exposure from AI
➢ AI as strategic asset vs liability
Module 3: AI in the European Legal System
➢ Interaction between AI Act, GDPR, Product Liability, DSA/DMA
➢ AI and fundamental rights
➢ AI & constitutional governance
➢ Legal expectations translated into system design requirements
➢ Policy stacking: AI law + Data protection + Security + Ethics
➢ Mapping AI into GRC environment
➢ Strategic regulatory pressure from EU legal ecosystem
Module 4: Structure & Architecture of the EU AI Act
➢ Articles, Recitals, Annex mapping
➢ Definitions of Provider, Deployer, Importer, Distributor
➢ Scope, territorial reach & exclusions
➢ Mapping Annexes to technical processes
➢ Understanding technical boundaries of AI definition
➢ Linking Articles to controls, policies & procedures
➢ Lifecycle compliance mapping
➢ Understanding structure at strategic overview level
Module 5: Risk-Based Classification Framework
➢ Legal meaning of prohibited, high-risk, limited-risk, minimal-risk
➢ Interpretation of Annex III & prohibited list
➢ Technical classification of AI systems
➢ Mapping classification to architecture types
➢ Risk assessment methods
➢ How to operate classification workflows
➢ Strategic risk categorization
➢ Decision-making using risk tiers
PART 2: LEGAL & OPERATIONAL COMPLIANCE
Objective: Translate legal requirements into operational obligations across roles.
Module 6: Prohibited AI Practices
➢ Interpretation of banned practices
➢ Exceptions & enforcement risks
➢ Identifying prohibited patterns in AI systems
➢ System design red flags
➢ Prohibition mapping checklist
➢ Internal scanning mechanisms
➢ Strategic decisions on prohibited AI usage
➢ Reputation and risk implications
Module 7: High-Risk AI Systems & Obligations
➢ Legal obligations for Providers & Deployers
➢ Liability allocation across AI value chain
➢ Technical controls for risk management, data governance
➢ Implementing logging, monitoring, human oversight
➢ Compliance program design for high-risk AI
➢ Building registers, evidence systems
➢ Governance oversight of high-risk systems
➢ Resource and budget implications
Module 8: Conformity Assessment & Compliance Operationalization
➢ Conformity assessment of legal requirements
➢ Interface with notified bodies
➢ Role of harmonized standards
➢ Technical documentation development
➢ Building compliance-ready AI pipelines
➢ Conformity workflow management & audit readiness
➢ Documentation control systems
➢ Approval & risk acceptance responsibilities
➢ Strategic oversight of certification pathways
Module 9: Transparency Obligations
➢ Legal obligations for chatbots, deepfakes, biometric AI
➢ Consumer & user rights
➢ Building disclosure & watermarking mechanisms
➢ UI/UX compliance design
➢ Transparency policy implementation
➢ Monitoring & reporting
➢ Strategic approach to trust, brand integrity & disclosure
Module 10: General Purpose AI Models (GPAI)
➢ Obligations for GPAI model providers
➢ Systemic risk criteria
➢ GPAI model risk analysis
➢ Technical mitigation for foundation model risks
➢ GPAI governance frameworks
➢ Third-party risk management
➢ Strategic risk in using or building GPAI
➢ Investment & innovation decisions
Module 11: EU AI Act Governance Structure
➢ Role of AI Office, National Authorities, European AI Board
➢ Legal authority distribution
➢ Understanding how governance affects deployment approval
➢ Interface with authorities & reporting requirements
➢ Regulatory engagement strategy
Module 12: Notifying Authorities & Notified Bodies
➢ Legal role & obligations of notified bodies
➢ Legal recourse & appeals mechanisms
➢ Technical interaction during assessments
➢ Certification & notification management
➢ Strategic selection & interaction with notified bodies
PART 3: ENTERPRISE IMPLEMENTATION, RISK & STRATEGY
Objective: Create sustainable AI governance & risk management models in enterprises.
Module 13: Post-Market Monitoring & Market Surveillance
➢ Legal obligations for post-market surveillance
➢ Incident & malfunction reporting
➢ Continuous monitoring system design
➢ Model performance tracking
➢ Surveillance frameworks & reporting workflows
➢ Oversight of monitoring, reporting & incident response
Module 14: Penalties, Enforcement & Liability Exposure
➢ Legal liabilities, fine structures
➢ Enforcement scenarios
➢ Technical root cause roles in legal exposure
➢ Controls for penalty risk mitigation
➢ Crisis management & enforcement readiness
Module 15: Aligning AI Governance Strategy with Business Objectives
➢ Legal integration into enterprise governance
➢ Legal presence in AI governance steering committees
➢ Technical strategy alignment with governance goals
➢ AI governance maturity model development
➢ Executive AI governance frameworks
➢ AI risk appetite & strategy
Module 16: Avoiding Penalties & Ensuring Sustainable Compliance
➢ Preventive legal compliance models
➢ Building resilient AI systems against regulatory risk
➢ Continuous monitoring & audit planning
➢ Sustainable governance planning
Module 17: Outlook & Global AI Regulation
➢ Anticipating regulatory evolution
➢ Global legal convergence
➢ Adapting technical roadmaps to future laws
➢ Foresight in compliance frameworks
➢ Long-term strategic positioning
