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

To view more information about assessments, contacts and learning activities specific to one of these offerings, please select an offering from the drop-down menu above.

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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