Artificial Intelligence (AI) is revolutionizing the practice of risk and compliance within the financial services industry, and it is important that managers can differentiate between types of AI application and apply appropriate solutions to enhance processes and align with regulatory requirements that are becoming increasingly stringent.
Artificial Intelligence & Machine Learning for Compliance Risk Management bridges the knowledge gap that exists for many risk and compliance leaders and other professionals around AI technology and its application within the management of compliance risks. Participants will learn about the evolution and global adoption of AI, Machine Learning, Deep Learning, Generative AI, and Large Language Models: the essential foundation information that Risk and Compliance Managers must know when considering and challenging AI solutions in real-world business settings.
Total Training Duration: 12 CPD hours
Core SFA/FAA CPD: 4 hours
Classroom Hours: 12
Preparatory Hours: 4
By the end of this module, participants will be able to
This course is designed for finance professionals with at least 3 years of relevant experience focusing on risk management including compliance, legal, enterprise/operational risk, audit professionals and those in control functions in the 1.5 line of defence. It is also relevant for external lawyers, consultants and accountants advising the financial services sector.
Useful Links
Participants who successfully complete the programme will be awarded:
Accreditation
IBF Accreditation
For more information on the IBF-STS, please visit www.ibf.org.sg/home/for-financial-institutions/resource-tools/skills-framework-for-financial-services.
Certification
About IBF Certification
This course addresses the following Technical Skills and Competencies (TSCs) and proficiency level:
Participants are encouraged to access the IBF MySkills Portfolio (https://www.ibf.org.sg/programmes/Pages/MySkills-Portfolio.aspx) to track their training progress and skills acquisition against the Skills Framework for Financial Services. You can apply for IBF Certification after fulfilling the required number of Technical Skills and Competencies (TSCs) for the selected job role.
Find out more about IBF certification and the application process on https://www.ibf.org.sg/certification/Pages/Why-be-Certified.aspx
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Singaporean Aged Below 40 / PR
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Singaporean Aged 40 & Above
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Course Fees |
2,300.00 | 2,507.00 | 1357.00 | 897.00 |
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Note:
Prices shown are based on the prevalent IBF-STS subsidies. T&Cs apply.
Click here to read more about the terms & conditions governing registration, payment, cancellation, deferment and no-show.
Eligible SG citizens may utilise SkillsFuture Credit to offset course fees. This is only applicable for the regular SkillsFuture Credit, and not applicable for the SkillsFuture Credit (Mid-Career) additional top-up funding.
#Unfunded course fee refers to the balance course fee payable after applicable government subsidies. This may include materials fees, registration fees and misc fees.
The information above is correct at the time of publication. Wealth Management Institute reserves the right to amend the fees and/or terms and conditions as appropriate.
In addition to Course Fees, each participant will also be charged a non-refundable and non-claimable application fee of S$85 (including GST).
This programme is pending accreditation by the Institute of Banking and Finance (IBF). When accredited, Singaporeans and Permanent Residents will be eligible for funding support of up to 70% course fee subsidy under the IBF Standards Training Scheme (IBF-STS).
Fees shown are after IBF-STS funding. Subsidised fees apply upon participants’ successful completion of the programme, which includes (i) fulfilling minimum attendance requirements and (ii) passing all relevant assessments.
Subsidies are subject to change by IBF and fees will be adjusted based on prevailing funding rates. Click here to read more about funding support for IBF-STS, and terms & conditions governing registration, payment, cancellation, deferment and no-show.
The information above is correct at the time of publication. Wealth Management Institute reserves the right to amend the fees and/or terms and conditions as appropriate.
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15 March 2024 (Full) | |
14 June 2024 |
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