Generative AI (GenAI) for Finance

Multiday, 03/11/2025 - 06/11/2025

Venue

Tertiary Courses Malaysia G-3A-02, Corporate Office Suite, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200

Entrance Fee

MYR4,000.00

Category

Business & Professional

Event Type

Class, Course, Training or Workshop

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Schedule

DateTime
03/11/20259:30 AM - 5:30 PM
04/11/20259:30 AM - 5:30 PM
05/11/20259:30 AM - 5:30 PM
06/11/20259:30 AM - 5:30 PM
Generative AI (GenAI) for Finance

Explore the revolutionary impact of Generative AI in the finance sector with our comprehensive course. Generative AI for Finance offers an in-depth look at how artificial intelligence can transform financial analysis, risk management, and investment strategies. Participants will gain hands-on experience with AI tools and technologies, learning to apply them to real-world financial data for predictive analytics, trend forecasting, and decision-making support.

This course is designed for finance professionals, analysts, and enthusiasts keen on leveraging AI to enhance accuracy and efficiency in financial operations. With a focus on practical applications, it covers essential concepts such as algorithmic trading, AI-driven risk assessment, and machine learning models for financial forecasting. Whether you're looking to optimize investment portfolios, predict market trends, or innovate financial services, our course equips you with the skills to lead in the AI-driven finance landscape.

Certificate

All participants will receive a Certificate of Completion from Tertiary Courses after achieved at least 75% attendance.

Funding and Grant

HRD Corp Claimable Course for Employers Registered with HRD Corp

HRDF claimable

Course Code: M466

Topic 1: Introduction to Generative AI and Its Foundations in Finance 

  • Basics of AI and Machine Learning

  • Introduction to Generative AI (GAI)

  • AI and GAI use cases in finance

Topic 2: Core Generative AI Models and Technologies 

  • Large Language Models (LLM) and Transformer model

  • Text-to-Image and Diffusion model

  • Text-to-Speech (TTS) and Speech-to-Text technologies

  • Retrieval Augmented Generation (RAG)

  • Autonomous AI agents and bots

Topic 3: Practical Applications and Case Studies 

  • Risk management and fraud detection

  • Customer service agent and chatbot

  • Generating synthetic financial data

  • Algorithmic trading

  • Robo-advisors

Topic 4: Ethical, Legal, and Regulatory Considerations 

  • AI Ethics and Governance in Finance

  • Deepfakes and voice cloning

  • Data Privacy and Security

  • Regulatory Compliance and Governance

Topic 5: Future Trends and Innovations in Generative AI for Finance

  • Latest Developments and Research in Generative AI

  • Emerging Applications and Strategic Implications

  • Preparing for the Future of Finance with AI