Intelligent Transformation of Businesses

Dates: 11 Mar, 12 Mar 2024 | 9am-5.30pm | Online

Duration: 2 Days

Course Overview

Artificial Intelligence (AI) and Machine Learning (ML) have significantly changed businesses and business ecosystems across almost all sectors. Especially, as disruptive technologies, AI and ML are developing new applications and increasing business performances. AI and ML can automate different business processes and use data to devise predictive systems and high-performance decision supporters. Meanwhile, hardware robots and software chatbots are going to replace human operators in many activities. This way, we can give the workforce more time for business development, troubleshooting, and creativity. Typically, the homogeneity and speed of AI/ML-driven systems would be higher. The important question to ask is how we can make our business AI/ML-ready and transform it into an intelligent business. During this course, we are going to help participants to find proper answers to those important questions.

This course is part of Professional Certificate in Artificial Intelligence and Machine Learning Foundation for Executives.

Course Objectives

This course presents a solid definition of digitalization, digital transformation, and intelligent transformation of businesses. It helps participants to understand AI and ML capabilities of their business. Articulating different approaches and methodologies of intelligent transformation of businesses. The participants will be practicing intelligent transformation based on some real-world scenarios.

Who Should Attend

AI/ML Executives, Digital Transformation PM

Prerequisites

Basic IT and Math knowledge

Course Convener

(Click their photos to view their short biographies)

ddddd Amirhassan Monajemi

Dr Amirhassan MonajemiDr Amirhassan Monajemi

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 

GST shall apply at prevailing rates

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 Codes
TGS-2022012310 (Classroom Learning)
TGS-2022012295 (Synchronous e-learning)

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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