[NP-GAI4P-FAS] Generative Artificial Intelligence (AI) for Productivity (Classroom & Asynchronous e-learning)

Offered by School of InfoComm Technology

Certifiable Courses

About Course
Course Schedule
Course Structure
Financial Matters

About Course

Course Objectives

This course equips professionals with the knowledge and skills required to harness the transformative power of Generative Artificial Intelligence (AI) responsibly and effectively, enabling them to excel in their respective fields and adapt to the evolving landscape of AI-driven technology.

Course Description

This is a comprehensive short course carefully crafted to empower professionals from various industries with the essential knowledge and practical skills required to effectively harness the potential of Generative Artificial Intelligence (GenAI). This course comprises key topics that cover the introduction to GenAI, ethical considerations, and practical applications across problem-solving, communication, decision-making, efficiency, and learning and development. Participants will not only gain a profound understanding of GenAI but will also learn how to apply it to solve specific job-related challenges through GenAI clinic sessions. By the conclusion of this course, participants will be well-prepared to responsibly and innovatively integrate GenAI into their professional pursuits.

Course 
Schedule

  1. Registration Period 19 May 2025 - 26 Jun 2025
  2. Course Date 17 Jul 2025 - 24 Jul 2025
  3. Venue NGEE ANN POLYTECHNIC
  4. Mode of Training Classroom
  5. Schedule Info Duration: 8 hours of classroom training on 17 Jul + 8 hours of self-pace e-learning
    Time: 9am to 6pm
    Delivery Mode: Classroom & Asynchronous e-learning
    Venue: Ngee Ann Polytechnic & Online

    Schedule may subject to changes. Detailed timetable will only be release upon enrolment and nearer to course commencement date.

 

Duration: 16 hours
Time: 9am to 6pm
Delivery Mode: (Blended) Classroom & Asynchronous e-learning
Venue: Ngee Ann Polytechnic & Online

Schedule may be subject to changes. The detailed timetable will only be released upon enrolment and closer to the course commencement date.

For self-sponsored applicant, you may proceed to apply after signing in with Singpass / Student ID.
For company-sponsored applicant, please approach your company HR to put in the application via the company portal using Corppass at STEP.

 

Course Structure

TPG course reference No.

TGS-2023040708

Generative Artificial Intelligence (AI) for Productivity (Classroom & Asynchronous e-learning)
Generative Artificial Intelligence (AI) for Productivity (Classroom & Asynchronous e-learning) (NP-GAI4P-FAS)

Financial matters

Course fees payable (incl. GST & excl. supplementary fee)

Description Generative Artificial Intelligence (AI) for Productivity (Classroom & Asynchronous e-learning) Total course fee
Full Course fee $654.00 $654.00
Enhanced Training Support for SMEs for Singapore Citizen $76.20 $76.20
Enhanced Training Support for SMEs - SPR & LTVP+ $76.20 $76.20
SkillsFuture Mid-Career Enhanced Subsidy for Singapore Citizen aged 40 and above $76.20 $76.20
SkillsFuture Baseline Funding for Singapore Citizen Aged Below 40 $196.20 $196.20
SkillsFuture Baseline Funding for SPR/LTVP+ $196.20 $196.20

GST rate

The course fees payable above are inclusive of 9% GST rate.

Payment option

The payment needs to be made upon the application is submitted.

Allowed payment by

The course fee allows to be paid by:
Post-Secondary Education Account (Adhoc withdrawal form);
SkillsFuture Credits (SFC);
Credit card (e-payment);
Debit card (e-payment);
PayNow (e-payment).

Refund and withdrawal policy

  • Please note that a 100% refund will be available if the withdrawal request is submitted more than or equal to 14 days before the course start date.
  • Please note that a 50% refund will be available if the withdrawal request is submitted less than 14 days before the course start date.
  • Please note that no refund will be available if the withdrawal request is submitted on or after the course start date.