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Short Course

Commercialisation of Artificial Intelligence Innovation

Programme ScheduleDuration (days)Mode of DeliveryProgramme Code
To be advised 2Synchronous e-LearningTGS-2022012753

Course Overview

AI innovation that is not followed through with an effective market-driven commercialisation programme will not yield the required returns on investment. This programme provides participants with the foundations to manage AI innovation from ideation to sustainable profits. Taking a practical approach, the programme will cover commercialisation strategy design and development all the way through ground execution involving go to market activities as well as sales and marketing campaigns.

Course Objectives

At the end of the programme, participants will be able to:

  • Design, develop and implement a business plan for AI ventures and businesses
  • Oversee the execution of a sustainable GTM (go to market) programme
  • Implement a commercialisation programme with a focus on commercial licensing of both technology and intellectual property rights
  • Develop commercial key performance indicators for value creation for AI ventures and businesses
  • Communicate effectively to stakeholders (investors & partners) on the business and investment case of AI innovation

Who Should Attend

ICT professionals, C-suite executives, and business executives.

Prerequisites

Minimum diploma holder

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This programme is part of

  • Professional Certificate in Artificial Intelligence Innovation, Intellectual Property Management and Commercialisation

    • Types of Available Fundings

  • SkillsFuture Funding
  • SkillsFuture Credit
  • Enhanced Training Support
  • SFEC
  • UTAP
  • PSEA

    • Testimonials


    Great learning for a non technical person, ensuring you get to know key principles and use of AI.

    Being a nurse innovation advocate and embarking on some innovation projects myself, I find this course very useful in providing me with the insights to know how to position my projects in a way that is not only of my value to the patients and staff clinically but also on how we can commercialise it/market it so that more investors will be willing to invest in our projects to further developed our prototypes.

    Professor Zaid is a consummate professional and I highly recommend anyone interested in the subject matter takes up his programme.

    Really eye opener in terms of knowledge sharing in this new field.

    Instructors


    Mr Zaid Bin Hamzah

    Mr Zaid Bin Hamzah

    Zaid Hamzah is an AI and data strategist and practitioner specialising in AI in finance and law, AI and data governance and AI in information security. An AI patent holder, he is currently an Executive Education Fellow at the National University of Singapore (NUS) School of Computing’s Advanced Computing for Executives centre where he runs programmes on AI Innovation Management, Intellectual Property Rights in AI Innovation, and Commercialisation of AI Innovation. He has taught legal AI at the Singapore Management University School of Law. Zaid is deeply involved in AI R&D and innovation. His AI patent relating to risk management in a supply chain context was granted by the Intellectual Property Office of Singapore in December 2023. He is currently involved in AI research and innovation in the area of decision intelligence and cybersecurity. Author of 10 books spanning law, technology, intellectual property and AI, Zaid has over 35 years of professional experience. He has previously served as (i) Microsoft's Director for intellectual property and commercial software; (ii) Senior Legal Advisor to Singtel’s joint venture with Warner Bros and Sony Pictures (iii) Chief Regulatory Legal & Compliance Officer at publicly-listed Telekom Malaysia; (iv) Associate, Khattar Wong & Partners (Singapore law firm) and (v) Singapore Government service. Zaid has a law degree from the National University of Singapore and completed his Masters in International Relations at the Fletcher School of Law and Diplomacy, Tufts University on a Fulbright scholarship. Zaid is a member of the Board of Directors, NIE International (which is wholly owned by Nanyang Technological University). Zaid volunteers his professional services to start ups in the area of AI management and intellectual property protection and regularly conducts community programmes on how to get young children ready for a data and AI future.

    Programme Fees


    Singapore Citizens Singapore PRs Enhanced Training Support for SMEs International Participants
    39 years old
    or younger    		 40 years old
    or older
    Full Programme Fee S$1,900.00 S$1,900.00 S$1,900.00 S$1,900.00 S$1,900.00
    Less: SSG Grant Amount S$1,330.00 S$1,330.00 S$1,330.00 S$1,330.00 -
    Nett Programme Fee S$570.00 S$570.00 S$570.00 S$570.00 S$1,900.00
    9% GST on Nett Programme Fee S$51.30 S$51.30 S$51.30 S$51.30 S$171.00
    Total Nett Programme Fee Payable, Including GST S$621.30 S$621.30 S$621.30 S$621.30 S$2,071.00
    Less Additional Funding - S$380.00 - S$380.00 -
    Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes S$621.30 S$241.30 S$621.30 S$241.30 S$2,071.00
    1. Total Nett Programme Fee Payable, including GST, after additional funding from various funding schemes.
    2. Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.
    3. The applicable funding is for Singaporeans and Singapore PRs. This is subject to change and in accordance with SSG funding guidelines as of course commencement.

    Other Information

    This course is eligible for Union Training Assistance Programme (UTAP). NTUC members can enjoy up to 50% funding (capped at $250 per year) under UTAP. NTUC members aged 40 and above can enjoy higher funding support up to $500 per individual each year, capped at 50% of unfunded course fees, for courses attended between 1 July 2020 to 31 December 2025. Please click here for more information.

    NUS Computing, Advanced Computing for Executives (ACE)

    11 Research Link
    COM 3, #B1-07
    Singapore 119391

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