LEARNING TRACK: Responsible AI in Aerospace (Starts 1 Apr 2025) 1 April - 22 May 2025 Online

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Responsible AI












  • From 1 April – 22 May 2025 (8 Weeks, 16 Lectures/Classes, 32 Total Hours).  Includes 4 cutting edge AI in Aerospace courses.
  • 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)
  • All students will receive an AIAA Certificate of Completion at the end of each course.  Students that attend all 4 courses will receive an additional AIAA Certificate of Completion for the Responsible AI in Aerospace Learning Track.
OVERVIEW

During Spring 2025, AIAA will offer an online series of Artificial Intelligence short courses focusing on Responsible AI. These courses are tailored to equip aerospace professionals with the essential knowledge, skills, and analytical abilities to tackle the challenges of responsibly designing and deploying AI-integrated systems. As AI becomes increasingly embedded in aerospace, it presents significant opportunities for efficiency, cost reduction, and safety enhancement. However, recognizing and mitigating the associated risks is essential to ensure the safety, reliability, and ethical integrity of these technologies.

Participants in these courses will gain a solid foundation in AI fundamentals, learn how to architect AI systems, understand the principles of systems engineering as they apply to AI, understand and evaluate ethical and societal implications, and manage AI risk. Graduates will be well-prepared to develop and manage complex systems with embedded AI, including identifying unique requirements, testing, and certifying these systems, and maintaining safe performance levels. This is particularly crucial for safety-critical systems, such as self-flying vehicles and drone delivery, where rigorous testing, evaluation, monitoring, and maintenance is paramount.

Courses in Responsible AI for Aerospace Learning Track

WHO SHOULD ATTEND
Professionals tasked with driving the safe and effective integration of AI within their organizations, who are eager to enhance their expertise in the design, testing, and deployment of cutting-edge AI-based aerospace technologies. 

LEARNING TRACK COURSE FEES (Sign-In To Register)


While courses can be taken on their own, students can bundle all four courses in the learning track with significant discounts:

Course

Non-Member

AIAA Member

AIAA Student Member

Systems Engineering and Artificial Intelligence for Aerospace Applications

$ 695

$ 495

$ 295

AI for Aerospace Applications: Ethics, Policy, and Society

$ 695

$ 495

$ 295

AI Design and Deployment Risks for Aerospace Applications

$ 695

$ 495

$ 295

Applications of Generative AI with Large Language Models in Aerospace

$ 695

$ 495

$ 295

TOTAL

$ 2,780

$ 1,980

$ 1,180

All 4 Courses (Responsible AI in Aerospace Learning Track)

$ 1,995 USD

$ 1,595 USD

$ 795 USD
  



























Cancellation Policy: A refund less a $50.00 cancellation fee will be assessed for all cancellations made in writing prior to 5 days before the start of the event. After that time, no refunds will be provided.

Contact: Please contact Lisa Le or Customer Service if you have any questions about the course or group discounts (for 5+ participants).

Frequently Asked Questions

Outline
Materials

COURSE DELIVERY AND MATERIALS

  • The course lectures will be delivered via Zoom. Access to the Zoom classroom will be provided to registrants near to the course start date.
  • All sessions will be available on-demand within 1-2 days of the lecture. Once available, you can stream the replay video anytime, 24/7. Videos will be until one month after the conclusion of the course.
  • All slides will be available for download after each lecture. No part of these materials may be reproduced, distributed, or transmitted, unless for course participants. All rights reserved.
  • Between lectures during the course, the instructor(s) will be available via email for technical questions and comments.
Instructors

 

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