Artificial Intelligence for Aviation Applications

This FREE course is intended for aviation professionals of all levels who would like to get a basic understanding of AI while exploring its application to aviation.

What the Course is About

Artificial Intelligence (AI) is the ability of machines or computer systems to perform tasks which would normally require human intelligence.  Such tasks may include visual perception, speech recognition, and content generation, amongst others.  AI effectively tries to mimic the thinking process, and the problem-solving and decision-making capabilities of the human brain.

AI is becoming ubiquitous and is finding its way in many industries, including aviation. This highlights the need for aviation professionals to have a baseline understanding of AI and its impact on aviation. This course seeks to address this need by providing aviation professionals of all backgrounds with a basic, yet broad, understanding of AI and its application to aviation. 

The course begins with a brief look at the history of AI and a description of key AI capabilities and applications. It then describes different ML techniques and algorithms; presents real-world applications of AI in the aviation industry; and discusses various aspects of trustworthy AI and their implications for the aviation sector.

Target Audience

Students, entry-level, mid- to senior level aviation professionals

Learning Experience

5 hours (may vary from on student to another), linear format.

Learning Outcomes


By the end of the course, the student will be able to:

  • Highlight key milestones in the history of AI
  • Describe key capabilities of AI
  • Explain basic AI concepts and techniques
  • Discuss how AI is being applied to aviation
  • Explain the challenges associated with AI in the context of aviation
  • Discuss the pillars of trustworthy and ethical AI


By the end of the course, the student will be able to:

  • Analyze the strengths and weaknesses of an AI system
  • Identify new applications of AI in aviation
  • Detect new trends in AI


  • Analytical thinking
  • Problem-solving
  • Data-based decision making

About Instructor

Jason Gauci

Dr Gauci is a senior lecturer at the Institute of Aerospace Technologies (University of Malta) and an adjunct at Embry-Riddle Aeronautical University (Worldwide Campus). He holds a degree in electrical engineering from the University of Malta (Malta) and a PhD in Aerospace Engineering from Cranfield University (UK). Before joining academia in 2014, he worked in the UK’s aerospace and automotive industries as a software and systems engineer. His research interests include: Unmanned Aerial Vehicles (UAVs), Air Traffic Management (ATM) and avionics, Human-Computer Interaction (HCI), and aviation training. Dr Gauci has been – and is currently – involved in several national and international collaborative research projects. He is the author/co-author of over 30 academic papers and is the holder of patents in multimodal cockpit-pilot interaction, taxiway line detection, and active controls. He teaches various courses at undergraduate and postgraduate level and supervises MSc and PhD students, as well as interns.

1 Course

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Course Includes

  • 6 Lessons
  • 13 Waypoints
  • 1 Quiz
  • Course Certificate