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Realization of AI

Faculty of Engineering TechnologyCivil Engineering
CreditsN/A
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Semester offeredSemester 2 (Winter)
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Last updated7 months ago

Description

Learning outcomes MMK1 Scientific-disciplinary knowledge and comprehension in the field of Artificial Intelligence MMI5 Entrepreneurship MMP1 To make operational MMG4 Working in a team in different roles MMG5 Professionalism Objectives The goal of this course is to teach the students everything they need to develop and deploy an AI solution from start to finish. Starting with the problem definition and progressing to a working solution that is accessible via the cloud. With the skills taught in this course, students will be able to tackle AI problems in the industry, develop the core technology of an AI startup, or realise their own hobby projects. Each topic has an applied and theoretical side to it. At the end of this course students will: Know how to develop according to the Agile methodology Be aware of the technology landscape surrounding AI model development, deployment and monitoring Be able to apply modern engineering tools and technologies to deploy an AI model and understand the different trade-offs between them This is an applied, practical course. Students will work on a course project implementing an AI solution from beginning to end. Disclaimer : If no more than 3 students register for this course, it may not be organised and students may be asked to choose a different elective.

Course outline
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Preview the 5 closest equivalencies already indexed in our system

B30778 has possible credit equivalents including AUE4040 at Hanyang University.

CourseUniversityQwest Score
AUE4040
Automotive Embedded AI
Hanyang University73
567590
Generative Artificial Intelligence
Dankook University71
DES-2715
Issues and Uses of Generative AI in Design
Laval University69
AUE4040
Automotive Embedded AI
Hanyang University73
567590
Generative Artificial Intelligence
Dankook University71