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About

The EU AI Act Course & Certification is designed to provide a clear understanding of the European Union’s regulatory framework governing the development, deployment, and use of Artificial Intelligence systems. The course focuses on ensuring safe, transparent, and trustworthy AI practices, particularly in high-risk sectors such as healthcare, pharmaceuticals, and clinical research.
This course covers key provisions of the EU AI Act, risk-based classification of AI systems, compliance obligations, data governance, transparency requirements, conformity assessments, and enforcement mechanisms. It also emphasizes ethical AI use, accountability, documentation standards, and alignment with other global regulations. Upon successful completion, learners receive a certification demonstrating competency in EU AI Act compliance.

Who Should Enrol ?:

  • AI/ML Professionals in Healthcare and Life Sciences
  • Regulatory Affairs and Compliance Professionals
  • Clinical Research and Pharmacovigilance Teams
  • Pharmaceutical and Biotechnology Professionals
  • Data Science and Analytics Teams
  • Quality Assurance and Validation Professionals
  • IT and Software Development Teams in Regulated Industries
  • Life Science, Pharmacy, Engineering, and Medical Graduates

What you will learn

Understand the fundamentals of the EU AI Act, including its objectives, scope, and regulatory framework for governing artificial intelligence systems.

Learn how AI systems are classified using a risk-based approach and the obligations placed on stakeholders across the AI value chain.

Gain knowledge of compliance requirements for high-risk AI systems, including conformity assessments, governance structures, and fundamental rights impact assessments.

Develop an understanding of enforcement mechanisms, penalties, regulatory interplay, and practical implementation strategies for EU AI Act compliance in real-world settings.

Course Syllabus

  1. Introduction to the EU AI Act
  2. Concepts (part 1)
  3. Concepts (part 2)
  4. Healthcare + enterprise perspectives
  5. What would you do?
  6. Quick-scope test — does the Act apply to you?
  7. Implementation steps
  8. Top failure modes + penalties
  9. Key points to carry forward

  1. Risk-Based Classification of AI Systems
  2. Concepts (part 1)
  3. Concepts (part 2)
  4. Healthcare + enterprise perspectives
  5. What would you do?
  6. Classification flowchart — quick-pass triage
  7. Implementation steps
  8. Top failure modes + penalties
  9. Key points to carry forward

  1. Obligations Across the AI Value Chain​
  2. Concepts (part 1)​
  3. Concepts (part 2)​
  4. Healthcare + enterprise perspectives​
  5. What would you do?​
  6. RACI — duties at a glance across the value chain
  7. Implementation steps
  8. Top failure modes + penalties
  9. Key points to carry forward

  1. High-Risk AI Systems — Deep Dive
  2. Concepts (part 1)​
  3. Concepts (part 2)​
  4. Healthcare + enterprise perspectives
  5. What would you do?
  6. High-risk compliance checklist — the 7-article gate
  7. Implementation steps
  8. Top failure modes + penalties
  9. Key points to carry forward

  1. Conformity Assessments + Compliance Processes
  2. Concepts (part 1)​
  3. Concepts (part 2)
  4. Healthcare + enterprise perspectives​
  5. What would you do?
  6. Audit-readiness dossier — what the notified body will ask for
  7. Implementation steps
  8. Top failure modes + penalties
  9. Key points to carry forward

  1. Fundamental Rights Impact Assessment (FRIA)​
  2. Concepts (part 1)​
  3. Concepts (part 2)​
  4. Healthcare + enterprise perspectives​
  5. What would you do?​
  6. FRIA methodology — six-step template
  7. Implementation steps
  8. Top failure modes + penalties
  9. Key points to carry forward

  1. Enforcement, Penalties + Governance​
  2. Concepts (part 1)​
  3. Concepts (part 2)​
  4. Healthcare + enterprise perspectives​
  5. What would you do?​
  6. Serious-incident reporting — 15-day playbook
  7. Implementation steps
  8. Top failure modes + penalties
  9. Key points to carry forward

  1. Interplay with Other Regulations​
  2. Concepts (part 1)​
  3. Concepts (part 2)​
  4. Healthcare + enterprise perspectives​
  5. What would you do?​
  6. Regulation-overlay stack — one governance programme, many inputs
  7. Implementation steps
  8. Top failure modes + penalties
  9. Key points to carry forward

  1. Implementing the EU AI Act in Practice​
  2. Concepts (part 1)​
  3. Concepts (part 2)​
  4. Healthcare + enterprise perspectives​
  5. What would you do?​
  6. The 90-day plan — what to do in the first quarter
  7. Implementation steps
  8. Top failure modes + penalties
  9. Key points to carry forward

  1. Future Outlook + Global Impact​
  2. Concepts (part 1)​
  3. Concepts (part 2)​
  4. Healthcare + enterprise perspectives​
  5. What would you do?​
  6. Global AI compliance — regime comparison
  7. Implementation steps
  8. Top failure modes + penalties
  9. Key points to carry forward

  1. How this assessment works​
  2. Scoring + the credential​
  3. What your Certificate of Completion delivers​
  4. Apply the course — the first 30 days
  5. Completion slide​

Our Certified Customers

novartis
NHS
takeda
roche
baxter

Learner Rating & Reviews

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Frequently Asked Questions

  • Regulatory Affairs & Compliance Professionals dealing with AI systems
  • Legal & Policy Experts focused on EU digital and AI regulations
  • Quality Assurance & Risk Management Professionals
  • AI/ML Developers, Data Scientists, and Software Engineers
  • Healthcare, Pharmaceutical & Medical Device Professionals using AI
  • CROs, Sponsors, Importers, Distributors, and AI Solution Providers

This module provides a comprehensive understanding of the EU AI Act, focusing on risk classification, regulatory requirements, conformity assessment, and compliance obligations to ensure AI systems are safe, transparent, and aligned with European regulatory standards throughout their lifecycle.

  • Developed by EU regulatory and AI governance experts
  • Focused on practical implementation of EU AI Act requirements
  • Covers risk classification, conformity assessment, and compliance obligations
  • Relevant for professionals across AI, healthcare, pharma, and digital sectors
  • Supports regulatory readiness, audit preparedness, and responsible AI deployment