Equinet Academy
Create, Collaborate, and Boost Productivity with GenAI Tools
Course Description
This course introduces learners to the fundamentals of Generative AI and how it can be applied in workplace settings using popular tools such as ChatGPT, Gemini, Claude, and other no-code platforms.
It is designed for working professionals with no technical background and focuses on practical applications of text, image, and content generation tools to improve productivity, ideation, and business communication.
Through guided exercises, learners will explore real-world use cases and gain confidence using AI safely and ethically.
Target Audience
This course is suitable for business professionals, marketers, project coordinators, and digital team members who are looking to integrate GenAI tools into their workflows to save time, enhance communication, or create content.
Course Highlights
In this Generative AI (ChatGPT, Gemini, and Popular AI Tools) course, you will:
- Understand what makes Generative AI different from traditional AI
- Explore GenAI tools such as ChatGPT, Gemini, Claude, and image generators
- Practise writing prompts and iterating for better output quality
- Learn to apply GenAI to business communication, writing, and ideat
Course Objectives
By the end of this course, learners will be able to:
- Define Generative AI and explain its workplace applications, including strengths and limitations of AI outputs
- Apply prompting strategies to influence AI-generated outputs and analyse how algorithmic structure affects result quality
- Use GenAI tools for workplace writing and summarisation, and assess their effectiveness in improving communication processes
- Generate simple visuals using GenAI tools and assess their suitability and feasibility for workplace tasks
- Compare features of different GenAI tools and recommend suitable ones based on task-tool fit and solution strengths
- Interpret and communicate GenAI outputs effectively, linking output design to workflow efficiency and team collaboration
Certification
A Certification of Completion by Equinet Academy will be awarded to candidates who have demonstrated competency in the Generative AI (ChatGPT, Gemini, and Popular AI Tools) course assessment and achieved at least 75% attendance.
Course Outline
Introduction to Generative AI and Workplace Applications
Instructor-Led | Mode of Delivery (Lecture & Illustration, Group Discussion)
- What is GenAI and how it differs from traditional AI
- Tools overview: ChatGPT, Gemini, Claude
- Use cases across industries
- Strengths and limitations
- Expectations vs actual output
Prompting Fundamentals and Output Quality
Instructor-Led | Mode of Delivery (Lecture & Illustration, Demonstration & Practical Application, Class Activity)
- Prompt components: instruction, format, tone
- Bad vs good prompts
- Role prompting and iterative refinement
- How structure affects output quality
Using GenAI for Business Writing and Summarisation
Instructor-Led | Mode of Delivery (Lecture & Illustration, Demonstration & Practical Application, Group Discussion, Class Activity)
- Emails, outlines, and reports
- Summarisation and paraphrasing
- Tone and clarity adjustments
- Detecting hallucinations
- Human review and fact-checking
Image and Visual Content Generation with AI
Instructor-Led | Mode of Delivery (Lecture & Illustration, Demonstration & Practical Application, Class Activity)
- Image generation tools: DALL·E, Midjourney, Gemini
- Prompting for format and style
- Use in marketing and training
- Evaluating visual clarity
- Ethics and copyright
Selecting the Right AI Tool for the Task
Instructor-Led | Mode of Delivery (Lecture & Illustration, Group Discussion, Class Activity)
- Comparing ChatGPT, Gemini, Claude
- Tool integration (built-in vs external)
- Task-tool selection matrix
- Recommending tools to teams
Interpreting and Communicating AI Outputs
Instructor-Led | Mode of Delivery (Lecture & Illustration, Demonstration & Practical Application, Group Discussion)
- Types of output (text, confidence, summaries)
- Explaining AI-generated output to others
- Spotting misinformation
- Using GenAI in collaboration and decision support
Trainer
Kevin is the Founder and Director of Product and Marketing at Aemorph Digital Agency. He began his career in digital marketing specialising in Search Engine Optimisation after transitioning from banking and finance. Since 2010, Kevin has spent hundreds of hours devising strategies and guiding his team to help clients across all industries including F&B, Finance, Insurance, E-commerce, Medical, B2B services and SaaS companies, serving clients such as MSIG Insurance, Bizcover Insurance, Liberty Insurance, TWG Tea, Aura Group, Merger Markets (Acuris), Aura Group, B Capital and dozens of local SME’s, across Australia, New Zealand, Hong Kong, the United States and Singapore.
Course Fees
Course Fee:
S$500.00 (inclusive of 9% GST)
Course Schedule
| Learning Mode | Course Dates | Duration | Trainer |
|---|---|---|---|
| In-Person | 14, 15 Apr 2026 (Tue, Wed) | 9.00am - 6.00pm | |
| In-Person | 06, 07 Jul 2026 (Mon, Tue) | 9.00am - 6.00pm | |
| In-Person | 13, 14 Oct 2026 (Tue, Wed) | 9.00am - 6.00pm |
Click on the course dates above to register online.
Frequently Asked Questions (FAQs)
This course is ideal for business professionals, marketers, project coordinators, and digital team members who want to integrate Generative AI tools into their workflows to save time, enhance communication, or create content.
Yes, the course is designed for individuals with no technical background. All key concepts and tools will be explained step by step, with guided hands-on exercises.
Access to popular GenAI tools such as ChatGPT, Gemini, Claude, and selected image generators (e.g., DALL·E) will be provided during the course, along with instructions for safe and effective usage.
Yes, participants will receive curated resources, including prompt templates, tool comparison guidelines, and best practices for safe and ethical AI adoption.
The workshop is highly interactive, with practical exercises, live tool demonstrations, and group discussions to ensure real-world application of AI tools.
No coding or technical expertise is required. Participants should have basic computer literacy and be comfortable using modern web applications.
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