Mastering EU AI Act Compliance
EU AI Act compliance is no longer just a policy topic. This practical 2-day bootcamp helps teams working with high-risk AI systems understand what regulators expect, identify likely compliance gaps, and prepare for audit pressure through case studies and hands-on exercises.
Duration
2 Days
Language
English
Certification
Yes
Format
In-person
Best Fit Level
Senior / Leader
Investment for yourself?
1,150 €
Investment for the team?
Get a QuoteWho Is It For?
Designed for
Compliance leads
Governance officers
IT leaderships
Vendors supplying AI-powered tools
What you bring to the table
Basic EU AI Act awareness is recommended.
For people working with high-risk AI systems who need practical tools to prepare for compliance assessment.
Key Takeaways
By the end of this course, you will be able to
Classify an AI system under Annex III and determine applicable derogations
1
Navigate the full requirements for high-risk AI systems under Articles 9–17 with practical examples
2
Apply EU AI Act guidelines and harmonised standards to a specific system context
3
Conduct and document a step-by-step conformity self-assessment using a real-world case
4
Prepare an evidence package for self-assessment
5
Build a technical documentation roadmap and a practical compliance checklist
6
Program
Across two days, participants move from AI Act theory into practice through guided exercises, case work, and assessment preparation. The programme covers classification, high-risk system requirements, documentation gaps, evidence planning, and a mock audit so teams can see what compliance work looks like in practice.
Identify whether a system falls under the EU AI Act high-risk categories and understand possible derogations.
Work through the practical risk-management expectations for high-risk AI systems.
Explore the core obligations with examples relevant to real systems.
Apply the requirements to examples such as fraud detection, admission scoring, proctoring tools, and benefit eligibility algorithms.
Prepare the structure and evidence needed for compliance assessment.
Assess current readiness and identify missing documentation, processes, and controls.
Practice presenting and testing the evidence package in an audit-style setting.
Rimma Dzhusupova
Rimma Dzhusupova is an Industrial AI and AI Compliance expert with over 16 years across the energy, infrastructure, and digital sectors, and a former Global AI Solutions Lead at a multinational. She contributed to the European Commission plenary group behind the General-Purpose AI Code of Practice (2024–2025). She now founds and directs ExplorAI, a conformity assessment body forming for high-risk AI systems under the EU AI Act, helping organizations turn its requirements into practice.
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