AI and Machine Learning: Tools, Applications and Natural Language Processing (NLP)
- Artificial Intelligence
- Finance & Investment
- Innovation & Business Improvement
This module is conducted in-person.
1 day
Weekday (9am - 5pm)
Who Should Attend
- Financial professionals seeking to understand the impact of AI on Fintech
- Regulatory and compliance officers from financial institutions
- Individuals, entrepreneurs and business owners interested in AI and ML innovations in FintechIndividuals interested in a solid understanding of ChatGPT and its technologies
PREREQUISITES
There are no prerequisites for this programme. Prior knowledge on any of the topics is not required.
Overview
In the ever-evolving landscape of Fintech, Artificial Intelligence (AI) and Machine Learning (ML) emerge as the dynamic duo, reshaping the financial innovation. AI and ML illuminate the path to unprecedented efficiency, precision, and strategic excellence. The synergy of AI and ML stands as a game-changer in finance, revolutionising the way how financial solutions are crafted, transactions are optimised, and risks are managed. Imagine a toolkit that not only streamlines the analysis of vast financial datasets but also tailors insights perfectly for each financial scenarios, ensuring informed decision-making with maximised efficiency. This transformative approach means a significant reduction in the time and resources spent on traditional financial modeling. As AI and ML continue to advance, their role in shaping effective and innovative financial tactics becomes increasingly pivotal, offering increase efficiency and productivity for those ready to embrace AI.
Designed to equip participants with a comprehensive understanding of the strategic integration of AI and ML in Fintech, this course will allow participants to have a profound grasp of AI and ML applications in finance, enabling them to harness these technologies for strategic advantage.
Learning Objectives
At the end of the 1-day course, participants will be able to:
- Understand the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML) and their transformative role in Fintech
- Learn about the concept of natural language processing
- Discover the AI tools that Fintech players are adopting
- Explore the practical applications of AI in Fintech and banking and finance, including data analysis, customer service enhancements and operational efficiency
- Examine the impact of AI and ML in Fintech
- Identify the possibilities and challenges in leveraging AI and ML for Fintech innovation
Assessment
As part of the requirement for SkillsFuture Singapore, there will be an assessment conducted at the end of the course. The mode of assessment, which is up to the trainer’s discretion, may be an online quiz, a presentation or based on classroom exercises.
Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion issued by Singapore Management University.
Calculate Programme Fee
Fee Table
| COMPANY-SPONSORED | |||
|
PARTICIPANT PROFILE |
SELF-SPONSORED |
SME |
NON-SME |
|
Singapore Citizen < 40 years old Permanent Resident LTVP+
|
$327 (After SSG Funding 70%) |
$127 (After SSG Funding 70% |
$327 (After SSG Funding 70%) |
|
Singapore Citizen ≥ 40 years old |
$127 (After SSG Funding 70% |
$127 (After SSG Funding 70% |
$127 (After SSG Funding 70% |
|
International Participant |
$1,090 (No Funding) |
$1,090 (No Funding) |
$1,090 (No Funding) |
All prices include 9% GST
Please note that the programme fees are subject to change without prior notice.
Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.
Self Sponsored
SkillsFuture Credit
Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.
This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.
Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).Workfare Skills Support Scheme
From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.
Company Sponsored
Enhanced Training Support for SMEs (ETSS)
- Organisation must be registered or incorporated in Singapore
- Employment size of not more than 200 or with annual sales turnover of not more than $100 million
- Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
- Trainees must be Singapore Citizens or Singapore Permanent Residents
- Trainees must not be a full-time national serviceman
- Trainees will be able to enjoy ETSS funding only if the company's SME's status has been approved. To verify your SME's status, please click here.
Please click here for more information on ETSS.
Absentee Payroll
Companies who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:
AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)
Intake Information
This module is conducted in-person.
| Course | Dates |
|---|---|
| INTAKE 1 | 14 Feb 2025 [Open for Registration] |
*Online registration will close 5 calendar days before the course start date
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