Design Thinking For Mission-Critical AI
Design Thinking For Mission-Critical AI
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Steps for enrolling and becoming a candidate are provided in this section.
Cost and Fees
Required Courses
Problem Identification & AI Foundations for Safety-Critical Environments
This hands-on course prepares aerospace professionals to identify, design, prototype, and govern practical AI solutions for safety-critical environments. Students work with real operational problems and experiment with current AI tools and platforms to build AI-assisted workflows, evaluate deployment options, and develop a pilot-ready AI system concept.
AI Concepts to Structured Execution — From Insight to Workflow Design
This hands-on course helps students turn AI concepts into structured, auditable workflows. Using real aerospace use cases, students experiment with AI tools to design human-in-the-loop processes with defined inputs, outputs, checkpoints, guardrails, and escalation paths.
“Dangerous with Tools” — Secure AI Architecture & Local Deployment
This hands-on course teaches students how to responsibly stack AI tools and platforms within safety-critical constraints. Students experiment with secure AI architectures, compare cloud and local deployment options, apply data classification, and design governance safeguards for aerospace workflows.
Aerospace AI Capstone — Secure, Deployable System Design
This capstone course guides students through the design and presentation of a pilot-ready AI solution for a real aerospace problem. Students integrate workflow design, AI tools, deployment strategy, governance, UI/UX, and risk controls into an executive-ready system concept.
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