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WSQ Generative AI at Work

Funding Validity Period

14 August 2024

13 August 2026

Course Overview

This course is designed for personal and business professionals new to applying Generative AI technologies to make their work effective and productive. It provides an introduction to large language models and explores various tools—including ChatGPT, Gemini, Nano Banana, Copilot, MS Designer, Claude, and Google NotebookLM—alongside their practical applications.

Skills Acquired

By the end of this course, learners will be able to:

Articulate the principles, technologies, and algorithms that underpin generative AI.
Explore the use of generative AI tools like ChatGPT, Gemini, Copilot and Claude in a business context.
Understand prompt engineering, its techniques and applications.
Understand how generative AI can be used to create synthetic media, such as
images, videos, and audio, and explore its applications in the business world.
Appreciate emerging trends and future developments in generative AI, and
understand the potential implications for businesses.
Understand the ethical considerations and potential risks associated with generative AI, including privacy, bias, and transparency, and learn best practices for responsible deployment

Learning Modules

Learning Unit 1: Introduction to Generative AI

Impact of technology at work
Awareness of critical technological trends and developments
What is Generative AI?
Use cases of Generative AI in business

Learning Unit 2: Deep Dive into Generative AI tools

Understanding Large Language Models (LLM)
Understanding Neural Networks
Appreciate various Generative AI tools
like ChatGPT, Gemini, Nano Banana, Claude

Learning Unit 3: Ethical Considerations and Best
Practices

Ethical issues in generative AI: Bias, privacy, transparency
Best practices for responsible AI deployment

Learning Unit 4: Understanding Prompt Engineering

What is Prompt Engineering?
Understanding elements of prompt engineering
Creating effective prompt techniques
Applying prompt modifiers

Learning Unit 5: Creating Images using Generative AI

Introduction to media synthesis: Images,
videos, audio
Image creation tools using Generative AI
Applications in the business

Learning Unit 6: Creating Videos and Audios using Generative AI

Tools for video and audio generation
Create videos and audios for training content
Tips for effective prompts for video
generation

Learning Unit 7: Future Trends and Opportunities in Generative AI

Emerging trends and opportunities in
application of Generative AI
Justifications to apply Generative AI at Work

Learning Unit 8: Potential Future Applications and Their Impact on Business

Automating content creation and personalization
Fueling innovation and design
Data-driven decision making
Revolutionizing customer experiences
Retrieval-Augment Generation (RAG) and Google NotebookLM

What is Generative AI?
Use cases of Generative AI in business
Understanding Large Language Models (LLM)

Appreciate various Generative AI tools like Chat GPT, Gemini, MidJourney etc.
Hands-on practice of Chat GPT & Gemini

What is Prompt Engineering?
Understanding elements of prompt engineering
Applying prompt modifers
Creating effective prompts

Ethical issues in generative AI: Bias, privacy, transparency
Best practices for responsible AI deployment

Introduction to media synthesis: Images, videos, audio
Applications in the business

Introduction to generative tools for image creation
Demonstration of image creation

Introduction to generative tools for video and audio creation
Demonstration of image creation

Emerging trends in generative AI: 3D modeling, music composition, etc.
Potential future applications and their impact on businesses

Who is this course is for

This training is relevant to all employees, PMETs, executives and professionals who want to learn how to generative AI tools to enhance their productivity.

Academic prerequisites

Candidates should possess English language proficiency (reading, writing, speaking, and listening) equivalent to secondary school standards.
A minimum educational qualification of GCE ‘O’ Level or an ITE certificate is required.
Candidates must be digitally literate, with the ability to operate a personal computer and peripherals

Course Fees

Fees	Small Medium Enterprises (SMEs)	Non Small Medium Enterprises	Singaporean Employees aged 40 years and above
Full Fee	$700.00	$700.00	$700.00
9% GST (on full course fee)	$63.00	$63.00	$63.00
Funding Amount	$490.00 (70% off course fee)	$350.00 (50% off course fee)	$490.00 (70% off course fee)
Nett Fee Payable (incl. GST)	$273.00	$413.00	$273.00

Course Fee Funding:
SME: 70% of course fee
Non-SME: 50% of course fee
Non-SME(MCES): 70% of course fee

Eligible for Absentee Payroll Funding

$4.50 per training hour capped at $100,000 per enterprise per calendar year

Eligible for SkillsFuture Enterprise Credit (SFEC)

Fees	Singapore Citizens (40 years and above)	Singapore Citizens (21 to 39 years old) & Permanent Residents (21 years old and above)
Full Fee	$700.00	$700.00
9% GST (on full course fee)	$63.00	$63.00
Funding Amount	$490.00 (70% off course fee)	$350.00 (50% off course fee)
Nett Fee Payable (incl. GST)	$273.00	$413.00

MCES: Singaporean aged 40 years and above
Normal: Singaporean / PR aged 21 years and above

Course Fee Funding:
MCES: 70% of course fee
Normal: 50% of course fee

Eligible for UTAP funding
Eligible for SkillsFuture Credit
Eligible for PSEA Funds