Generative AI for Aerospace Engineers

About this course

Generative AI for Aerospace Engineers is designed to equip aerospace engineers with the practical skills and prompt engineering strategies. It equips aerospace engineers with the skills to harness the power of Large Language Models (LLMs), diffusion models, and multi-modal AI to automate and accelerate complex engineering tasks across the entire design, simulation, testing, and operations lifecycle. Beginning with a foundational understanding of how AI integrates into aerospace workflows, the course delves into prompting strategies—zero-shot, one-shot, few-shot—as well as instructional and analytical prompting techniques, enabling engineers to control and customize AI outputs for both creative ideation and technical precision.As the course progresses, learners will explore generative techniques for conceptual aircraft and spacecraft design, including multi-modal generation of structural components like wings and fuselages, and the use of AI to create mission-specific design variants. Prompts for preliminary BOMs (Bills of Materials), weight estimation, and aerodynamic CFD inputs are demonstrated with realistic aerospace scenarios. Critical performance areas such as stress, fatigue, load cases, and anomaly detection in simulation results are handled through structured prompt chains and interpretive AI outputs.Further modules guide learners in AI-assisted propulsion system modeling, from jet engines and rocket motors to combustion cooling systems and material fatigue prediction. Real-world applications in avionics—such as generating auto-pilot logic, fault diagnostics, and real-time flight telemetry summaries—prepare engineers for next-gen autonomous systems. Space-specific modules include orbital trajectory optimization, EDL sequence generation, and spacecraft subsystem configuration.Closing lectures tackle post-flight analysis, black box data summarization, FMEA reports, FAA/EASA/ISO compliance reporting, maintenance SOP generation, and quality inspection narratives. With