Professional Certificate in Artificial Intelligence for Business
Robotics Process Automation Begins with Me (Power Automate Desktop): 9 Feb 2023 | 9am-5.30pm | Online
Intermediate Robotics Process Automation: 10 Feb 2023 | 9am-5.30pm | Online
Expert Systems: 17 Feb, 24 Mar 2023 | 9am-5.30pm | Online
Explainable AI Fundamentals: 8 Mar, 9 Mar 2023 | 9am-5.30pm | Online
Duration: 6 Days
This Professional Certificate will equip learners with the following competencies:
- Understand the workflow automation.
- Develop their own simple bots in the MS-Power Automate environment.
- Design and development of advanced RPA macros and recordings to automate administrative tasks and web scraping.
- Help the business in AI-based automation and digital transformation.
Job Role Readiness
This Professional Certificate will prepare learners in the following job roles to perform their responsibilities more effectively. It will prepare learners for the following job roles:
- Business Transformers
- Business Advisors/Analysts
- IT Executives
- Business Managers
Who Should Attend
- Executives, Managers, Engineers
- HR Officers and Administrative Sector Executives
At least a polytechnic diploma
(Click their photos to view their short biographies)
Dr Ai Xin
Dr Ai Xin is currently a Lecturer with the School of Computing at the National University of Singapore (NUS). She has many years’ experience on teaching Artificial Intelligence and Data Science courses, e.g. machine learning, deep learning, data mining and etc.
She graduated from NUS with a PhD degree on Electrical and Computer Engineering. Her research focused on Game Theoretical Modelling, Optimization Methods, Algorithm Design and Wireless Networks.
She worked in BHP Billiton Marketing Asia for eight years and gained a lot of industry experience through different functions, e.g. risk management, supply chain management, sales and marketing planning and etc.
Dr Amirhassan Monajemi
Dr Amirhassan Monajemi is a Senior Lecturer in AI and Machine Learning with the School of Computing (SoC) at the National University of Singapore (NUS). Prior to SoC, he was a Senior Lecturer in NUS School of Continuing and Lifelong Education (SCALE) teaching AI and Data Science to adult learners. Before joining the NUS, he was with the Faculty of Computer Engineering, University of Isfahan, Iran, where he was serving as a professor of AI, Machine Learning, and Data Science. He was born in Isfahan, Iran. He studied towards BSc and MSc in Computer Engineering at Isfahan University of Technology (IUT), and Shiraz University respectively. He got his PhD in computer engineering, pattern recognition and image processing, from the University of Bristol, Bristol, England, in 2005. His research interests include AI, Machine Learning, Machine Vision, IoT, Data Science, and their applications.
He has taught the artificial intelligence courses, including AI, Advanced AI, Expert Systems, Decision Support Systems, Neural Networks, and Cognitive Science since 2005 at both undergraduate and postgraduate levels. He was awarded the best university teacher of the province in 2012. He also has studied Learning Management Systems, E-Learning, and E-Learning for workplaces since 2007.
Dr Monajemi has registered a few patents in the fields of AI, Machine Vision, and Signal Processing applications, including an AI and machine vision-based driver drowsiness detection system and a low power consuming spherical robot. He also has published more than a hundred research papers in peer-reviewed, indexed journals and international conferences (IEEE, Elsevier, Springer, and so on), and supervised several Data Science, IoT, and AI industrial projects in various scales, including Isfahan intelligent traffic system delivery and testing, and red light runners detection. He is experienced in different sub-domains of Artificial Intelligence and Machine Learning, from theory to practice, including Deep Learning, Logic, and Optimisation.
Dr Edmund Low
Dr Edmund Low is currently Senior Lecturer with the NUS College at the National University of Singapore.
He has nearly 20 years of academic and professional experience in the use of data-driven tools to answer questions in public health and the environment. His past projects include applying AI techniques and machine learning models for environmental modelling and impact assessment. He currently heads the quantitative reasoning domain at USP, and teaches courses on statistical methods, data science and machine learning. As an educator, Edmund is a multiple recipient of both the USP Teaching Excellence Award, as well as the NUS Annual Teaching Excellence Award. Edmund holds a PhD in Environmental Engineering from Yale University.
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 email@example.com
To register, click Register
Robotics Process Automation Begins with Me (Power Automate Desktop): TGS-2022011443 (Classroom Learning) / TGS-2022011444 (Synchronous e-learning)
Intermediate Robotics Process Automation: TGS-2020504737 (Classroom Learning) / TGS-2021002741 (Synchronous e-learning)
Expert Systems: TGS-2022012351 (Classroom Learning) / TGS-2022012352 (Synchronous e-learning)
Explainable AI Fundamentals: TGS-2022012746 (Classroom Learning) / TGS- 2022012347 (Synchronous e-learning)
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