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Artificial Intelligence Fundamentals and Applications for Engineers
This course is designed to equip engineers with the knowledge and practical understanding necessary to identify, evaluate, and propose AI solutions for complex problems within engineering systems. Participants will explore fundamental AI concepts, delve into how AI systems function, and learn methods for assessing their reliability and robustness. The course will emphasize real-world applications across diverse industrial environments, fostering an ability to recognize opportunities for AI-enabled innovation and understand the practical considerations for their implementation.
Who Should Attend?
Engineers and technical professionals in various industries who seek to understand and apply AI solutions to real-world engineering challenges.
What You Will Learn
- Explain and describe the basic principles, techniques, and underlying mechanisms of various artificial intelligence algorithms relevant to modern engineering applications.
- Evaluate and Utilize basic tools and methodologies for assessing the reliability, robustness, and overall performance of AI systems in engineering contexts
- Propose AI-based solutions for engineering applications, considering practical implementation challenges and responsible AI implications.
- Identify and discuss industrial applications of AI-enabled systems in fields such as transportation, manufacturing, and healthcare
Artificial Intelligence Fundamentals and Applications for Engineers
Date: Tue. March 31, 2026 – Wed. April 1, 2026ID: RA00101 - E051
Fee:
- $1,695
This course has two attendance options, face-to-face or online.
Face-to-face attendance fee includes morning and afternoon breaks, scheduled lunches, and course materials.
Online attendance fee includes online instruction and course materials. Online attendees will access course sessions via the Zoom web conferencing platform.
Team Discount. Receive 20% off the registration fee per person when 3 or more individuals from the same organization enroll. Team affiliation will be confirmed as part of the registration process.
Credits:
Instructor: - CEU: 1.4
- PDH: 14
Laura Albert, Ph.D.
Location: