About Course
Artificial Intelligence is rapidly reshaping how organisations work. While most professionals interact with AI through general‑purpose chatbots, they often miss out on far greater gains available through customised AI automations that streamline high‑impact workflows.
This course empowers business professionals, operations teams, and entrepreneurs to design practical AI‑driven solutions using low‑code and no‑code tools, without requiring programming knowledge.
Learners will be equipped to identify workflow bottlenecks, evaluate when automation is appropriate, and deploy AI‑enhanced processes that meaningfully reduce repetitive tasks. Through hands‑on examples from email classification to meeting transcription and automated document generation, learners gain confidence in building intelligent workflows that align with business value and stakeholder.
Upon completion, participants will have the skills to prototype and implement automations that improve efficiency, support decision‑making, and reshape how work gets done in today’s digital environment.
Who Should Attend
Suitable for professionals across all industries, including:
Basic computer literacy required. No coding experience required.
Learning Outcomes
By the end of this course, participants will be able to:
- Think critically about problems worth solving
Apply value‑oriented problem‑solving principles and mental models to identify meaningful automation opportunities
- Use AI to automate everyday digital tasks
- Automate email and file organisation
- Transcribe meetings and produce structured summaries
- Extract information from images such as receipts
- Understand the foundations of automation
- Recognise where automation is useful (or not)
- Apply low‑code thinking to redesign repetitive workflows
- Work with modern automation building blocks
- Understand how APIs, endpoints and the web support automations
- Read and interpret JSON
- Incorporate simple scripting (JavaScript or Python) where necessary
- Build practical AI‑powered automation solutions
- Scrape web data (e.g., leads) and automate outreach
- Generate dynamic documents like proposals and contracts using templates
- Design and present a real workflow prototype
- Develop an end‑to‑end automation for a real workplace challenge
- Communicate the logic and receive feedback for refinement
Teaching Team
Fadeyi Moshood Olawale
Associate Professor, Engineering, Singapore Institute of Technology
Jun Han Loh
Software Engineer
Course Details
Certificate and Assessment
A Certificate of Attainment will be issued to participants who:
- Attend at least 75% of the course
- Undertake and pass non-credit bearing assessment during the course
Participants who meet the attendance requirement but do not pass the assessment will receive a Certificate of Participation.
Schedule
| Course Run | Dates | Time |
|---|---|---|
| July 2026 | 28-30 Jul 2026 | 9:00 am – 5:00 pm |
Fee Structure
The full fee for this course is S$3,270.00.
| Funding Category | Eligible Funding | Course Fees Payable After Funding |
|---|---|---|
| Singapore Citizen (Below 40) | 70% | S$981.00 |
| Singapore Citizen (Above 40) Funded under SkillsFuture Mid-Career Enhanced Subsidy (MCES) | 90% | S$381.00 |
| Singapore Citizen who meets the additional course fee funding support criteria* | 95% | S$231.00 |
| Singapore PR / LTVP+ Holder | 70% | S$981.00 |
| Non-Singapore Citizen | Not Eligible | S$3,270.00 |
Note:
- All fees above include GST. GST applies to individuals and Singapore-registered companies.
Course Runs
New Engineering Micro-credentials Launching Soon!
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