Commercialisation of AI Innovation

Date: 5 Jan, 7pm-10.45pm | 6 Jan, 7pm-10.45pm | 7 Jan 2023, 10am-6.30pm | Online

Duration: 2 Days

Course Overview

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

This module is part of Professional Certificate in Artificial Intelligence Innovation, Intellectual Property Management & Commercialisation.

Course Objectives

At the end of the program, the 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) program;
  • Implement a commercialization program 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; and
  • Communicate effectively to stakeholders (investors & partners) on the business and investment case of AI innovation.

Who Should Attend

ICT professionals, C-suite & business executives

Prerequisites

Minimum Diploma

Course Convener

(Click their photos to view their short biographies)

eeeee Zaid Bin Hamzah

Mr Zaid Bin HamzahMr Zaid Bin Hamzah

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.

To enquire, email soc-ace@nus.edu.sg

To register, click Register

Course Code:
TGS-2022012776 (Classroom Learning)
TGS-2022012753 (Synchronous e-learning)

For members of public and NUS Alumnus (without R&G Voucher), please follow the steps below:

Select Short Course / Modular Course -> Apply for Myself -> Browse Academic Modules / Short Courses-> Module/Course Category -> Short Courses -> Browse Courses-> Advanced Computing for Exe (Faculty/Department / Unit)

Please download the user guide for NUS Online Application Portal after you click ‘Apply for Myself’ if you need assistance.

Course Fee Breakdown

Singapore Citizens

Singapore Citizens

39 years old or younger

Singapore Citizen

40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

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