*Applicable funding is for Singaporean and Singapore PR. This is subject to change and in accordance with SSG funding guidelines as of course commencement.
Data has evolved to become a critical competitive asset for many businesses and data-driven technologies such as Artificial Intelligence (AI), Machine Learning (ML), and Data Science help translate such asset into competitive advantages for many enterprises and their industries, including those in banking and finance.
Without a need for any technical knowledge in statistical science and programming language, this course provides the participants with a foundational understanding of these data-driven technologies and the knowledge of how machine learning and artificial intelligence work.
The participants will also learn how financial institutions, fintechs, and other enterprises are applying them to drive innovation in their businesses as well as efficiency in their internal management.
Issues surrounding the adoption and management of the technologies by enterprises and the regulations in the use of such technologies will also be discussed.
Note: This course qualifies for 15 CPE hours with ISCA, subject to the verifiable learning requirements. For more information, please visit the ISCA website here.
Topics discussed will include:
Throughout the course, use cases in business, banking, and finance will be discussed.
Participants will also gain some hands-on familiarity with an open-source machine learning software platform.
Individuals who are keen to understand AI and its applications at work and in business.
| Date | Venue | (incl. GST) | (after MAX Funding*) | Registration |
|---|---|---|---|---|
|
TBA
|
NUS Business School | SGD 2,071.00 | SGD 241.30 |
