Principles of Artificial Intelligence and Ethics: Applications and Responsible Practices

Training Provider: NANYANG TECHNOLOGICAL UNIVERSITY
Course Reference: TGS-2026063504
S$1,740
Original: S$5,800
Save S$4,060

About This Course

This course provides a comprehensive coverage in Artificial Intelligence (AI) with a strong emphasis on practical and responsible applications. Learners will deepen their understanding of core AI concepts, computational problem solving approaches, and advance into agent based systems, expert systems, and machine learning techniques. Through practical examples and structured analytical exercises that mirror graduate level expectations, learners will be equipped to solve real world problems responsibly whilst addressing industry needs for ethical AI deployment. This course works towards enhancing learners’ competencies, improving employability, and allowing learners to stay ahead in the evolving Information Technology sector for career progression or job upgrading in technology driven environments.

What You'll Learn

At the end of the course, learners will be able to:

• Describe the key features of Artificial Intelligence (AI) and analyse its strategic relevance to Information Technology (IT) and Society.
• Identify and evaluate the ethics, governance, and regulatory considerations involved in deploying AI solutions in enterprise environments.
• Utilise advanced ethical Al applications and improve the societal impact of AI systems.
• Describe and compare advanced Al applications and topics, including agentic AI, applied expert systems, machine learning and determine their suitability for solving IT industry specific problems.

Entry Requirements

No pre-requisites are needed to enroll in the individual courses; however, learners without qualifications or work experience in relevant engineering or the related fields may find the course contents challenging. Prior knowledge in STEM field will be an advantage.

Course Details

Duration 39 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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