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AI x Innovation Hackathon Workshop

Â鶹ÊÓƵ¹ÙÍø X Â鶹ÊÓƵ¹ÙÍø ACAD

Course overview

AI x Innovation Hackathon Workshop
Categories

AI/Machine Learning

degree award
Provider

Â鶹ÊÓƵ¹ÙÍø ACAD

academic level
Course type

Instructor-Led

projected fees
Course fee

(including GST)

Member Total Fee : $6,540.00
Non-Member Total Fee : $6,540.00

funding subsidy
Funding/Subsidy

N.A

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AI x Innovation Hackathon Workshop

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Course Overview

This one-day course introduces participants to practical AI and innovation thinking through a structured hackathon format. It begins with shared context and plain-English explanations of AI, then guides teams to identify opportunities, frame a challenge, generate ideas, select the strongest concept, and refine it into a viable proposal.

By the end of the day, participants will have a clearer understanding of where AI can add value, a defined challenge to solve, and a shortlist-ready concept with a draft pitch. The programme concludes with team presentations and next-step recommendations for ideas worth further exploration.

Course benefits

Course outline

1) Understand the purpose and structure of the hackathon.

2) Recognise practical AI opportunities in workflows and customer experience.

3) Define a meaningful challenge and generate solution ideas.

4) Evaluate ideas for desirability, feasibility, and business value.

5) Develop a draft concept and pitch for presentation.

Duration

1 day

Who should attend?

Programme leader

Michelle is a seasoned strategist to some of the world's leading businesses and brands senior management teams. Her intimate working knowledge of business across Deep Tech, FMCG, Retail, Business, Digital Transformation and Brand Management enables her to quickly pinpoint the applications of AI for different industries and functions.

Michelle is adept with reading and translating data into business insights and strategies and has worked with and consulted for world-class companies such as The Coca-Cola Company, LEGO, Procter & Gamble, Unilever, Mead Johnson, Cerebos, Singtel, Fraser & Neave, NTT, just to name a few.

Having been a Co-Founder for a few tech start- ups dealing in AI and data analytics, Michelle has gained a few accolades – including winning the first prize in predictive analytics for fault detection (87% accuracy) in the ASTAR (ARTC) competition, and being a guest speaker in conferences in Shanghai, Berlin, Singapore, etc. She is also a Senior Consultant with a few organizations where she spearheads business and strategic initiatives including driving the workings and understandings within AI, Data Analytics, and cyber fraud and scams.

Course fee

Run 1: 27 July 2026

Run 2: 30 July 2026

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