AI Course for Business in Singapore

It is a one-day, non-technical AI course for business professionals in Singapore. You cover five areas: how the models work and how ChatGPT, Claude and Gemini differ; where AI fits your business strategy and which processes suit it; prompt engineering and context engineering, including building a Custom GPT or Claude Skill of your own; building a complete AI workflow live with the trainer; and assessing adoption — feasibility, cost, risk, ethics and ROI. You leave with a working workflow, a configured assistant and a one-page adoption case for your organisation.

No. The course is designed for business professionals. No programming or technical AI development knowledge is required.

Yes. You’ll gain structured criteria for evaluating and comparing AI tools based on business needs, feasibility, and risk.

 Yes. The course covers current AI tools relevant to business applications, with emphasis on evaluation frameworks rather than experimentation alone.

Most AI awareness programmes explain what AI is. This course focuses on what to do with it – which tool for which task, how to evaluate options, and how to apply AI in your work. You will also get hands-on previews of what’s possible: content creation with multimodal AI, automation with agent workflows, and building with no-code tools. You get a clear view of the landscape — and a path forward if you want to go deeper.

A Certificate of Completion is issued upon successful completion of the assessment.

At MAGES the full fee is S$784.80 including GST. After the SkillsFuture Singapore course fee grant you pay S$424.80 if you are a Singaporean aged 21 to 39 or a Permanent Resident, or S$280.80 if you are a Singaporean aged 40 or above. SkillsFuture Credit can be applied against that amount, which for many participants reduces the out-of-pocket cost to zero. The subsidy is applied at the point of registration – you do not pay the full fee and claim it back.

Prompt engineering is about writing a better instruction. Context engineering is about controlling everything the model sees before it answers – the system prompt that sets its role and rules, the reference material you supply, the output format you require, and the boundaries you set. Prompt engineering improves one answer; context engineering produces a configured assistant that performs consistently every time. On this course you work through three levels of prompting and then build your own configured assistant using Claude Skills or a Custom GPT, with a system prompt written for a task you repeat at work.

ChatGPT, Claude and Google Gemini. You will compare all three on the same task so you can see where each is stronger, rather than taking a feature comparison on trust. You will also work with Custom GPTs and Claude Skills when you build your configured assistant in the afternoon. All you need is a Windows or Mac laptop no older than 2017; free tiers of each tool are sufficient for the course.

The course runs 9am to 6pm on a single weekday. Most participants either take a day of annual leave or attend under their employer’s training budget. If your employer is sponsoring you, eligible Singapore companies can claim up to 90% of out-of-pocket costs through the SkillsFuture Enterprise Credit via the Business Grants Portal. Speak to an advisor if you would like a quotation your employer can submit.

Yes – that is the purpose of Sections 2 and 5. You compare traditional and AI-enabled business models, identify which areas of your organisation are suitable for AI, and align AI against your existing goals and pain points. You then work through feasibility, cost-benefit, organisational readiness, risk, ethics and stakeholder engagement, and finish by producing a one-page rollout and ROI plan for your own organisation. The course is designed so that you leave with a document you can take to a decision-maker, not just notes.