COURSE OVERVIEW
FM0238 : AI in Finance & Investment - AI-driven Analytics, Fraud Detection & Automation

OVERVIEW
COURSE TITLE | : | FM0238 : AI in Finance & Investment - AI-driven Analytics, Fraud Detection & Automation |
COURSE DATE | : | Aug 18 - Aug 22 2025 |
DURATION | : | 5 Days |
INSTRUCTOR | : | Mr. Mike Taylor |
VENUE | : | Abu Dhabi, UAE |
COURSE FEE | : | $ 5500 |
Register For Course Outline |
Course Description
This practical and highly-interactive course includes various practical sessions and exercises. Theory learnt will be applied using “MS-Excel” application.
This course is designed to provide participants with a detailed and up-to-date overview of Artificial Intelligence in Finance & Investment - AI-Driven Analytics, Fraud Detection & Automation. It covers the machine learning versus traditional financial analysis; the Al in market trend analysis and financial forecasting; the Al for portfolio optimization, asset allocation, sentiment analysis in financial markets and Al-powered risk assessment in investment strategies; the Al for creditworthiness assessment, Al-based alternative credit scoring models, predictive analytics for loan default prevention and Al in real-time credit risk monitoring; how robo-advisors work in Al-driven investment management; and the Al-powered personalized portfolio recommendations and Al-for risk profiling in wealth management.
Further, the course will also discuss the Al in financial fraud detection, anti-money laundering (AML) and compliance and cybersecurity for financial institutions; the Al in risk assessment for investments and insurance fraud detection; the Al for portfolio optimization, cryptocurrency and blockchain investments, real estate investment and risk analysis; the high-growth startups, due diligence and risk evaluations and the forecasting venture capital exit strategies; the Al-powered chatbots for banking assistance, Al in automated loan processing and approvals; and the Al-based personalized banking recommendations.
During this interactive course, participants will learn the Al in predictive financial modeling, personalized financial services and automated payment processing; the corporate cash flow and liquidity and the treasury risk management strategies, automating corporate financial transactions and cost optimization in corporate finance; the Al’s role in the next-generation financial landscape, Al and quantum computing in financial modeling and Al in sustainable and ESG investment; the future Al trends in investment and banking and Al and ethics in financial decision-making; and the regulatory compliance and financial governance, global financial markets and enterprise-level financial institutions.
TRAINING METHODOLOGY
This interactive training course includes the following training methodologies:
LecturesPractical Workshops & Work Presentations
Hands-on Practical Exercises & Case Studies
Simulators (Hardware & Software) & Videos
In an unlikely event, the course instructor may modify the above training methodology for technical reasons.
VIRTUAL TRAINING (IF APPLICABLE)
If this course is delivered online as a Virtual Training, the following limitations will be applicable:
Certificates | : | Only soft copy certificates will be issued |
Training Materials | : | Only soft copy materials will be issued |
Training Methodology | : | 80% theory, 20% practical |
Training Program | : | 4 hours per day, from 09:30 to 13:30 |
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