The curriculum focuses on the decisions that can determine whether an AI project is useful and safe to deploy. Topics include:
That emphasis makes the programme broader than a technical introduction to AI. It links experimentation to business planning, operational controls and responsible implementation.
Teaching is provided by SIM Academy consultants, specialists from the Singtel Cyber Security Institute and lawyers from Drew & Napier. The mix brings together implementation advice, cybersecurity expertise and legal perspectives on the risks and responsibilities involved in deploying AI.
The listed fee is S$15,000 per participant, and each company must send at least three participants. Eligible companies can receive up to 90% SkillsFuture Singapore funding support, bringing the cost to about S$1,500 per attendee.
The maximum support is not automatic: eligibility is subject to the applicable SkillsFuture criteria and approval. Companies should therefore confirm the current funding position and programme fee before enrolling.
The reported eligibility requirements are that a company must:
These requirements mean the programme is aimed at Singapore-based SMEs that can commit several employees to taking an AI project from initial idea through pilot planning and evaluation.
At the programme’s April 2026 launch, seven companies and 22 employees had been trained. The first phase had begun in February.
That early participation figure provides context: AI.dea was still a new programme at launch, rather than an established large-scale training scheme.
Care Corner is exploring a voice-based AI role-play tool for junior social workers. The tool could let trainees practise situations such as building rapport with caregivers or calming people in distress.
A key safeguard is that the exercise avoids using real client data. That design reduces exposure to confidentiality and sensitive-data risks while allowing staff to practise an AI-supported training scenario.
AI.dea’s central proposition is a structured path from “we should try AI” to “we have a use case, a pilot plan and evidence to assess.” Its three-phase design addresses business value, implementation planning and responsible scaling rather than treating AI adoption as a purely technical purchase.
For an eligible company, the decision therefore involves more than the subsidised price. It also requires selecting a meaningful use case, assigning at least three participants and being prepared to test the idea under clear data, governance and human-oversight controls.