AI Human Interface

Training Provider: SINGAPORE POLYTECHNIC
Course Reference: TGS-2024043142
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

Polytechnic Diploma/ University with Engineering or IT diploma/degree:
Applicants must have an Engineering/ IT diploma or degree from a recognized polytechnic*/ university** in Singapore

Polytechnic Diploma/ University with Maths requirement:
Applicants must have any other diploma or degree from a recognized polytechnic*/ university** in Singapore, and possess a Pass grade in either GCE ‘O’ level Mathematics or a Mathematics subject at diploma level.

Recognition of Prior Learning (RPL):
Applicants with relevant work experience in a data-related or analytical role will be considered on case-by-case basis, with consideration of supporting evidence of competency readiness. Suitable applicants who are shortlisted may have to go through an interview and/or entrance test. The Polytechnic reserves the right to shortlist and admit applicants.

* NYP, NP, RP, SP or TP
** NTU, NUS, SIT, SMU, SUSS or SUTD (Appl. with degrees from other universities are considered on a case-by-case)

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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