EASA Artificial Intelligience (AI)
ClassroomOnline

EASA & Artificial Intelligence in Aviation: Compliance, Safety and Operational Readiness

Language: English, French
Duration:
2 days
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About the course

The EASA AI training program helps aviation professionals understand how artificial intelligence shapes modern aviation. The course explains how AI supports aircraft operations, maintenance, air traffic management, airports, drones, and safety systems. Participants learn how to apply AI safely while meeting the requirements of EASA’s AI Roadmap 2.0 and the EU AI Act.

This EASA AI training introduces the core principles of trustworthy and transparent AI. It shows how human oversight, data quality, system explainability, and risk control strengthen aviation safety. The course also explains how the EU AI Act classifies high-risk AI systems in airworthiness, ATM/ANS, U-space, and airport operations.

The program follows a practical and structured approach. It uses real industry examples and case studies to show how organizations can adopt AI responsibly. Participants learn how to select the right AI use cases, manage risks, and build strong data governance. The training also shows how to integrate AI into daily operations and existing safety processes.

By the end of the EASA AI training, participants gain the skills to align their AI strategies with EASA rules. They learn how to prepare teams for digital transformation and how to improve efficiency through data-driven tools. The course gives aviation organizations a clear roadmap to manage AI adoption with confidence.

This training suits aviation authorities, airlines, manufacturers, MROs, ANSPs, and drone operators. It supports professionals who want to strengthen compliance, improve safety, and lead innovation. As the aviation sector moves toward human–AI teaming and advanced automation, this course offers the knowledge needed to stay ahead in a fast-changing environment.

Key Topics

  • EASA AI Roadmap 2.0 requirements
  • EU AI Act: high-risk AI systems in aviation
  • AI trustworthiness, ethics & transparency
  • Machine learning assurance & model validation
  • Data governance, cybersecurity & bias mitigation
  • AI applications in aircraft, maintenance, ATM & airports
  • Human-AI teaming & operational oversight

Objectives

By the end of this training, participants will be able to:

  • Understand EASA and EU AI regulations
  • Evaluate aviation AI use cases safely
  • Implement AI risk management & assurance
  • Build organizational readiness for AI adoption
  • Ensure compliance with transparency & human oversight requirements

Targe Audience

  • Civil Aviation Authorities
  • Airlines & Operators
  • MROs & OEMs
  • ANSPs & Airport Authorities
  • UAS/U-Space & Advanced Air Mobility companies
  • Aviation technology and digital transformation teams

Certificate

Upon completion, participants receive
a certificate of achievement.

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