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
Date : 14th to 16th November 2024
Price : 450USD
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. Register and Pay before October 20th 2024 and get 20%, use CODE99.
Learning Objectives:
• Understand the fundamentals of AI and its relevance to the Fintech industry.
• Explore AI applications in different domains of FinTech
• Analyze the impact of AI on financial inclusion, customer experience, and operational efficiency.
• Discuss ethical and regulatory challenges associated with AI adoption in FinTech.
• Predict future trends and innovations in AI-driven FinTech solutions.
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.
1. Fintech Specialists and Decision Makers
2. Chief Technology Officers (CTOs) and Technology Leaders
3. Cybersecurity Specialists
4. Product Development and Innovation Managers
5. Bankers and Financial Analysts
6. Startup Founders
7. Government Officials and Policy Makers
Teaching Methods:
– Lectures and presentations by industry experts and academics.
– Case studies and group discussions on AI applications in FinTech.
– Hands-on workshops and demonstrations of AI tools and technologies.
– Guest lectures from practitioners and regulators in the FinTech industry.
Assessment Methods:
– Quizzes and assignments on AI concepts and their applications in FinTech.
– Case study analysis and presentations on AI implementations in financial services.