AI Human Interface

Training Provider: SINGAPORE POLYTECHNIC
Course Reference: TGS-2023039417
S$2,280

About This Course

Learning outcomes for the Specialist Diploma in Data Science (Artificial Intelligence) (NSDAI) will be:

• To equip students with knowledge and skills on Statistics and Programming for Data Science.
• To equip students with knowledge and skills on feature engineering, machine learning model training and inferencing. Students will be equipped with practical skills such as setting up the training pipeline.
• To equip student with knowledge and skills as AI engineer to enable human and AI interactions through virtual/conversational agents, deep learning models for computer vision and NLP, question answering and intelligent reasoning.

What You'll Learn

The Specialist Diploma in Data Science (Artificial Intelligence) (NSDAI) is to provide training in the fundamentals of statistics and programming for data science; equip students with sufficient knowledge and skills in artificial intelligence (AI); and instil an understanding of practical applications of AI in industry. The target job roles are AI/Machine Learning Engineer.

Entry Requirements

5.5 Students enrolled in the Specialist Diploma in Data Science (Artificial Intelligence) must satisfy at least one of the following entry requirements:
(i) An engineering diploma from a polytechnic* in Singapore
(ii) Any diploma from a polytechnic in Singapore AND
• a C6 or better in Additional Mathematics in the O-level examinations;
• OR a C grade or better in a one-semester mathematics module that substantially covers the Additional Mathematics syllabus;
• OR relevant work experience (considered on a case-by-case basis).
(iii) Any degree from one of the following Singapore universities: NUS, NTU, SMU, SUTD, SIT, or SUSS (UniSIM).

Candidates with degrees from other universities are considered on a case-by-case basis.

*polytechnic refers to SP, NP, TP, RP or NYP

Course Details

Duration 75 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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Note: To apply for this course, visit the SkillsFuture website or contact the training provider directly.

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