- 0.67 hour(s)
- 118
To Be Advised
This course is designed to equip learners with practical and strategic skills to craft prompts that influence the performance and outcomes of generative AI models.
Built on the Skills Framework for ICT under the GenAI Practitioner category, this intermediate-level course enables learners to explore the relationship between prompt structures, model behaviours, and output diversity.
Through hands-on, no-code activities, participants will learn how to create effective prompts using different engineering techniques to guide AI responses, identify prompt misuse, and apply strategies to optimise model performance.
Learners will also gain awareness of the limitations and risks associated with prompt design, including biases and context window constraints.
The course is suited for the general public and professionals across all industry sectors who are keen to explore the power of generative AI without requiring a technical background.
It supports workforce upskilling, digital literacy, and job role enhancements in an increasingly AI-augmented environment.
By the end of the course, learners will be able to:
a. Explain how prompt structures affect AI outputs and model behaviours.
b. Identify and apply prompt engineering techniques such as zero-shot, few-shot, and multi-turn prompting.
c. Use different prompt strategies tailored to specific foundation models and use cases.
d. Recognise and mitigate potential risks such as bias, misuse, and output irrelevance.
e. Evaluate prompt effectiveness and refine prompt design for improved outcomes.
Course topics include:
a. Prompt engineering frameworks and methods
b. Foundation models and their limitations
c. Strategies to handle context window and prompt misuse
d. Ethical considerations and bias mitigation in prompts
e. Multi-modal prompting: text, language, and conversation-based designs
Keywords for discoverability: Generative AI, prompt engineering, foundation models, few-shot prompting, AI outputs, bias mitigation, AI prompt strategies, prompt misuse, ethical AI, multi-turn prompts.
Knowledge and Skills
a. Basic smart devices’ operations
b. Able to understand, read and write in Basic English
Attitude
a. Positive Learning Attitude
b. Enthusiastic Learner
Experience
a. Minimum of 1 year of working experience.
Target Year Group
18-65 years old
Training durations: Day 1 – 9:00 AM to 6:00 PM; Day 2 – 9:00 AM to 2:00 PM
Assessment duration: 2:00 PM to 3:30 PM
Kindly note that you are required to achieve a minimum of 75% attendance and be certified competent in all the assessment components.
Should you fail to meet the attendance/assessment requirements and/or terms and conditions of SSG’s funding, you will not be eligible for the course fee funding and will have to bear the full course fees.
Individual Sponsored
Eligible Singapore Citizens can use their SkillsFuture Credit to offset course fee payable after funding.
Company Sponsored
Absentee Payroll Claimable: $4.50 per hour, capped at $100,000 per enterprise per calendar year.
Skills Future Enterprise Credit (SFEC) Grant: One-off $10,000 credit cover up 90% of out-of-pocket expenses.
Union Training Assistant Programme (UTAP)
UTAP Claimable: NTUC member enjoy 50% unfunded course fee support for up to $500 per year.
For Classes commencing on or after 1st Jan 2024
| Original Course Fee: $1200.00 | Individual Sponsor | Company Sponsored | ||||
| Before GST | With GST | Non-SME | SME | |||
| Before GST | With GST | Before GST | With GST | |||
| For Singapore Citizens aged 40 years and above | Â $360 | Â $468 | $360 | $468 | $360 | $468 |
| For Singapore Citizens and PRs aged 21 years and above | $600 | $708 | $600 | $708 | $360 | $468 |
| Foreigner (Full Course Fee) | Â $1200 | $1308 | $1200 | $1308 | $1200 | $1308 |
Course ID : TGS-2025059502
Funding Validity Period: 2025-09-29 to 2027-09-28
Refunds follow these tiers if written notice is received before the course:
• >14 days: 95% refund
• 5–14 days: 50% refund
• <5 days or after start: No refund
Refunds are considered case-by-case and require written request
