Purpose of Programme
This one-day workshop is designed for financial services professionals seeking to understand and apply Generative AI (GenAI) responsibly within banking, insurance, and related sectors. The course covers essential concepts, industry-relevant applications, and the ethical frameworks necessary to ensure safe and compliant AI adoption.
Participants will learn how GenAI differs from traditional AI, explore its role in predictive analytics, fraud detection, compliance monitoring, and workflow automation, and develop skills in prompt engineering for precise and context-driven outputs. Key principles such as FEAT (Fairness, Ethics, Accountability, Transparency) and the MindForge framework are integrated to reinforce responsible usage, mitigate risks like bias and hallucinations, and safeguard intellectual property.
Interactive discussions and hands-on exercises will provide practical experience in applying GenAI to real-world financial scenarios. By the end of the session, participants will be equipped with the knowledge and skills to leverage GenAI effectively, ethically, and in alignment with industry best practices.
Participants will learn how GenAI differs from traditional AI, explore its role in predictive analytics, fraud detection, compliance monitoring, and workflow automation, and develop skills in prompt engineering for precise and context-driven outputs. Key principles such as FEAT (Fairness, Ethics, Accountability, Transparency) and the MindForge framework are integrated to reinforce responsible usage, mitigate risks like bias and hallucinations, and safeguard intellectual property.
Interactive discussions and hands-on exercises will provide practical experience in applying GenAI to real-world financial scenarios. By the end of the session, participants will be equipped with the knowledge and skills to leverage GenAI effectively, ethically, and in alignment with industry best practices.
What You'll Learn
• Understand the core principles and concepts of Generative AI, including its role in financial services.
• Explore industry-specific applications of GenAI, including predictive analytics, compliance monitoring, and fraud detection.
• Apply prompt engineering techniques to design effective prompts for financial workflows and decision-making tasks.
• Leverage AI tools (including Microsoft Copilot, MS Forms, and Power Automate) to streamline reporting, analysis, and automation.
• Integrate FEAT (Fairness, Ethics, Accountability, Transparency) principles and the MindForge framework to ensure responsible AI adoption.
• Identify key risks of AI implementation—bias, hallucination, intellectual property concerns, and regulatory compliance—and apply practical mitigation strategies.
• Develop the ability to critically assess AI-generated outputs for accuracy, reliability, and ethical compliance in real-world financial contexts.
• Explore industry-specific applications of GenAI, including predictive analytics, compliance monitoring, and fraud detection.
• Apply prompt engineering techniques to design effective prompts for financial workflows and decision-making tasks.
• Leverage AI tools (including Microsoft Copilot, MS Forms, and Power Automate) to streamline reporting, analysis, and automation.
• Integrate FEAT (Fairness, Ethics, Accountability, Transparency) principles and the MindForge framework to ensure responsible AI adoption.
• Identify key risks of AI implementation—bias, hallucination, intellectual property concerns, and regulatory compliance—and apply practical mitigation strategies.
• Develop the ability to critically assess AI-generated outputs for accuracy, reliability, and ethical compliance in real-world financial contexts.
COURSE FEE
$850.00
(Before Subsidy)
SCHEME
STS
Skills & Competencies Requirements
| SKILLS CATEGORY | SKILLS AND COMPETENCIES | PROFICIENCY LEVEL |
|---|---|---|
| Future-Enabled Skills | Generative Artificial Intelligence |
ADVISORY
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