AI+ Finance
The AI+ Finance Training Program equips finance professionals with the knowledge to integrate artificial intelligence into financial services. Covering the fundamentals of AI and its impact on data-driven decision-making, the course explores AI applications in credit scoring, fraud detection, and stock market forecasting. Participants will also examine the synergy between AI and blockchain technologies and their implications for the future of finance. This AI+ Finance Course prepares learners to implement AI strategies that enhance operational efficiency and drive innovation in financial services.
All students receive:
- One-Year Subscription (with all updates)
- High-Quality E-Book
- Al Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Exam Study Guide
- Proctored Exam with one Free Retake
Check out our full list of training locations and learning formats. Please note that the location you choose may be an Established HD-ILT location with a virtual live instructor.
Train face-to-face with the live instructor.
Access to on-demand training content anytime, anywhere.
Attend the live class from the comfort of your home or office.
Interact with a live, remote instructor from a specialized, HD-equipped classroom near you. An SLI sales rep will confirm location availability prior to registration confirmation.
All Sunset Learning dates are guaranteed to run!
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Prerequisites:
Required:
- Basic understanding of finance, no technical skills required
- Interest in how AI impacts financial operations, and openness to change
- Willingness to understand ethical frameworks and use AI tools effectively
Recommended:
- AI+ Everyone or AI+ Executive
Target Audience:
- Sales Professionals
- Finance Specialist
Course Objectives:
- Develop an understanding of AI fundamentals and its applications across different financial areas such as credit scoring, loan processing, and fraud detection.
- Examine how AI uses financial data for strategic decision-making, improving analytics, insights, and enhancing customer personalization.
- Analyze AI and machine learning in fraud detection and prevention, exploring current applications and future directions in financial security.
- Investigate AI's role in forecasting stock market trends and its synergy with blockchain technology, considering both the benefits and challenges.
- Outline strategies for integrating emerging technologies into financial services, focusing on building digital-first strategies and operationalizing AI for competitive advantage.
Course Outline:
Introduction to AI and Its Impact on Finance
- Fundamentals of AI in Finance
- Data-Driven Decision Making in Finance
- AI Technologies Shaping the Financial Landscape
Data-Driven Decision Making in Finance
- The Power of Financial Data
- Analytics and Insights in Finance
- Implementing AI for Strategic Financial Decision-Making
Enhancing Credit and Loans with AI
- Revolutionizing Credit Scoring with AI
- Automating Loan Origination and Processing
- Personalization and Customer Experience in Lending
Fraud Detection in Finance with AI
- The Landscape of Financial Fraud
- AI and Machine Learning in Fraud Detection
- Future Directions in AI-driven Fraud Detection
Forecasting Stock Market with AI
- Overview of Stock Market Analysis
- AI Technologies in Stock Forecasting
- Challenges and Future of AI in Stock Market Forecasting