Overview
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Academic contacts
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Offerings
DUBAI-ISC-TJD-FACE2FACE-2026-2026
DUBAI-ISC-TMD-FACE2FACE-2025-2025
DUBAI-ISC-TMD-FACE2FACE-2027-2027
DUBAI-ISC-TSD-FACE2FACE-2026-2026
KAPLAN-SGP-TJA-MIXEDMODE-2026-2026
KAPLAN-SGP-TMA-MIXEDMODE-2025-2025
KAPLAN-SGP-TMA-MIXEDMODE-2027-2027
KAPLAN-SGP-TSA-MIXEDMODE-2026-2026
MURDOCH-S1-FACE2FACE-2025-ONGOING
MURDOCH-S1-ONLINEFLEX-2025-ONGOING
Requisites
Prerequisite
Other learning activities
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Learning activities
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Learning outcomes
1.
Apply and evaluate system design concepts for designing AI systems for solving real-world problems.
2.
Design, implement in software, and test system engineering concepts in AI model development and evaluation.
3.
Deploy, maintain, and upgrade AI systems using elements of CI/CD processes and best practices.
4.
Critique and demonstrate the use of responsible AI concepts, and analyse the social implications of AI systems.
5.
Research, communicate, and self-learn how to implement AI systems and demonstrate the utility and performance of these systems.
6.
Collaborate and communicate effectively with others in a team environment on complex tasks.
Assessments
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