About this course
Eight two-hour classes over four weeks. The course introduces systems engineering for AI-intensive systems, then covers eliciting and specifying requirements and identifying, assessing and mitigating risk for AI systems; fielding AI-intensive systems through system architectures, AI component definition and integration, and testing, verification and validation; responsible AI principles; and the breadth of AI applications in aerospace. Readings and case discussions accompany each class.
AIAA states 16 classroom hours (1.6 CEU/PDH). Registration requires signing in to AIAA's platform.
Instructors
- Phil Barry
- Jesse Kirkpatrick
- Sri Krishnamurthy
Facilitator details as listed by the provider. Assignments may vary by scheduled course.
Who should attend
- Engineers and managers working on the design, testing and deployment of AI-based aerospace technologies
Learning outcomes
- Develop a foundation in AI principles, including types of machine learning, as applied to aerospace systems.
- Define the requirements and risk for AI systems using systems engineering.
- Use systems engineering to inform AI component definition and integration, testing, verification and validation.
Certification and professional development
AIAA states 16 classroom hours / 1.6 CEU/PDH.
Certification relevance indicates subject-matter relevance only. It does not imply accreditation, formal alignment or endorsement by any certifying body.
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