COURSE OVERVIEW
This course explores the intersection of Artificial Intelligence (AI) and Financial Technology (FinTech), examining how AI is transforming various aspects of the Fintech industry. Participants will gain insights into AI technologies, applications in FinTech, regulatory considerations, and future trends shaping the sector.
14th to 16th November 2024
Register and Pay before October 20th 2024 and get 20%, use CODE99.
Group Discount : 5th Participant attend for free when 4 persons register from your organization, still applicable with early bird discount.
Understanding AI Technologies
AI Applications in FinTech
Data Analytics and Decision-Making
Regulatory and Ethical Considerations
Future Trends in FinTech and AI
Problem-Solving with AI
I want to learn more about this course
Price : 450 USD
Duration: 3 days
Delivery: Live Online
Time Commitment: 8-10 hours per week
Pace : Instructor-led
Subject: Fintech and AI
Difficulty: Intermediate
Credit: Certificate of Professional Proficiency
LEARNNG OBJECTIVES
- Understand the fundamentals of AI and its relevance to the Fintech industry.
- Analyze the impact of AI on financial inclusion, customer experience, and operational efficiency.
- Explore AI applications in different domains of FinTech
- Discuss ethical and regulatory challenges associated with AI adoption in FinTech.
- Predict future trends and innovations in AI-driven FinTech solutions.
What is the course curriculum?
Module 1: Introduction to AI and Fintech
- Overview of Data Science, AI, Generative AI and Natural language Processing (NPL)
- Evolution of AI applications in FinTech
- Importance of AI in the FinTech ecosystem: Key drivers and benefits.
- AI and Regulatory Compliance
- Ethical and Privacy Implications of AI in FinTech
- Advanced Fraud Detection.
Module 2: AI Applications in Fintech – Part 1
• Personalized Financial Services
• AI-powered customer service and chatbots.
• RegTech (Regulatory Technology): Regulatory Compliance Automation and Monitoring
• Risk Management and Reporting
• Credit Scoring and Loan Assessment
Module 3: AI Applications in Fintech – Part 2
• Underwriting and risk assessment using AI algorithms.
• Claims processing and automation.
• Predictive Analytics for Customer Engagement.
• Robo-Advisory and Wealth Management: AI-Driven Portfolio Management
• AI-Powered Financial Data Aggregation
Module 4: Fintech & AI Case Studies and Applications
• Real-world examples of successful AI implementations in FinTech.
• Case studies on AI failures and lessons learned.
• Emerging trends and innovations in AI-driven FinTech startups.
MEET OUR INSTRUCTORS
Parham Emami
Innovation Leader in Fintech, Canada
Dr. Albert Chris Puja
Lawyer / Lecturer /Researcher, South Africa
Dr. Kwami Ahiabenu
Director, Global Centre for Fintech Innovations, Canada
Dr. Walid Ghodbane
Technology innovation strategist and Assistant Professor, Tunisia
Career Transformation
Sarah Twan., Manager at a Fintech Startup
The AI and Fintech course completely transformed my career trajectory. The skills I gained allowed me to transition into a fintech role where I now apply effective AI strategies to optimize financial products. The hands-on projects were invaluable
Real-World Application
John Damine., Senior Analyst at a Financial Institution
This program gave me practical insights into how AI can be used to streamline financial services. I immediately applied what I learned to my job in banking, improving our fraud detection system using AI techniques
Cutting-Edge Knowledge
Maria Lanag ., Digital Transformation Manager
The course content is up-to-date with the latest trends in AI and fintech. It’s helped me stay ahead of the curve and contribute to my team’s digital transformation efforts
Professional Development
James Kwing., Compliance Officer
I gained a deep understanding of both the technology and the regulatory aspects of AI in finance, which has helped me expand my role in my company’s compliance team
JOIN OUR GROWING COMMUNITY OF 1,000 + ALUMNI
