Courses Category: Aerospace R&D

Essential Model-Based Systems Engineering – Online Short Course (28–29 April 2026)

Instructed by Teaching Science and Technology Inc. (TSTI)

  • 28–29 April 2026 (2 4-Hour Days, 8 Hours Total)
  • Tuesday and Wednesday, 12–4 p.m. Eastern Time (9 a.m.–1 p.m. Pacific Time)
  • This course is ideal for technical or non-technical professionals preparing to undertake digital transformation in their organizations.
  • All students will receive an AIAA Certificate of Completion at the end of the course

The Digital Transformation of Test & Evaluation

  • This is the only short course available that directly connects the Digital Engineering revolution with the aerospace Test & Evaluation processes 
  • This is Part 2 of a two-course series on Digital Engineering. Part 1 is “Digital Engineering Fundamentals” and starts on 24 March. 
  • All students will receive an AIAA Certificate of Completion at the end of the course

Systems Engineering and Responsible Artificial Intelligence for Aerospace Applications – Online Short Course (Starts 24 March 2026)

  • From 24 March–16 April 2026 (4 Weeks, 8 Classes, 16 Total Hours)
  • Every Tuesday and Thursday from 1–3 p.m. Eastern Time (all sessions will be recorded and available for replay; course notes will be available for download)
  • Advance your expertise with this essential course, focusing on responsibly building systems with Artificial Intelligence and using AI to enhance the systems engineering and deployment processes, all the while understanding and managing risks.
  • All students will receive an AIAA Certificate of Completion at the end of the course.

AI for Aerospace Applications: Ethics, Policy, and Society

  • Navigate the intersection of AI, ethics, policy, and societal impact with this course tailored to the unique challenges of AI and aerospace applications.
  • All students will receive an AIAA Certificate of Completion at the end of the course.

AI Design and Deployment Risks for Aerospace Applications

  • Deepen your understanding of aerospace autonomy and AI risk management with this fourth AIAA course in the Responsible AI series. It focuses on measuring, assessing, and mitigating the inherent risks in AI systems, from safety and security to governance and legal interventions.
  • All students will receive an AIAA Certificate of Completion at the end of the course.