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Training Courses

Artificial Intelligence in Finance and Open Banking

Course Code
FA71
Category
Finance And Accounting
Course ID
2562
Course Outline

Course Overview

The DIXONTECH training on Artificial Intelligence in Finance and Open Banking empowers professionals to harness AI technologies and data-driven models transforming the financial industry. Participants will explore AI-powered analytics, Open Banking ecosystems, and FinTech integrations, gaining insights into predictive modeling, algorithmic decision-making, and intelligent financial services aligned with regulatory and security standards.

TRAINING TOPICS

  • Overview of AI in Financial Services
  • Open Banking Concepts and Regulatory Frameworks
  • AI-Driven Risk Assessment and Credit Scoring
  • Machine Learning in Investment and Trading
  • Customer Analytics and Personalization Models
  • Fraud Detection and Cybersecurity Systems
  • FinTech Integration and Data Sharing APIs
  • Regulatory Technology (RegTech) Applications
  • Ethical AI, Privacy, and Governance
  • Future Trends in AI and Open Banking

BY THE END OF THIS TRAINING COURSE, DELEGATES WILL BE ABLE TO:

Develop advanced capabilities in applying AI tools and Open Banking models for innovation and financial decision-making.

  • Apply AI to financial risk management
  • Utilize predictive and behavioral analytics
  • Integrate Open Banking securely and efficiently
  • Leverage FinTech and API ecosystems
  • Detect fraud using AI models
  • Ensure data protection and ethical compliance
  • Build smart financial services strategies

TRAINING IS TAILORED TO

Financial and technology professionals seeking to understand AI applications, data integration, and Open Banking transformation.

  • Finance and Banking Executives
  • FinTech and Data Analysts
  • Risk and Compliance Officers
  • IT and Digital Transformation Managers
  • AI and Machine Learning Specialists
  • Business Development Managers
  • Regulators and Policy Advisors

TRAINING METHODOLOGY

DIXONTECH combines conceptual learning, hands-on AI labs, and Open Banking case simulations. Participants use real-world data models and API integrations to design AI-driven financial strategies and compliance systems. The course blends theory, analytics, and applied technology for immediate workplace implementation.

DAY 1

FOUNDATIONS OF AI AND OPEN BANKING

  • Evolution of AI in financial services
  • Understanding Open Banking ecosystems
  • PSD2 and global regulatory landscape
  • Open APIs and secure data exchange
  • AI applications across financial sectors
  • Data science and analytics fundamentals
  • Introduction to machine learning in banking
  • Disruptive impact of FinTech and BigTech

DAY 2

AI IN RISK MANAGEMENT AND CREDIT ANALYTICS

  • AI-driven risk modeling and prediction
  • Machine learning for credit scoring
  • Behavioural finance and data-based decisions
  • Stress testing and scenario simulation
  • Data sources and data quality management
  • Automating KYC and AML compliance
  • Early warning systems and portfolio analytics
  • Integrating AI with regulatory reporting

DAY 3

AI-POWERED INVESTMENT AND CUSTOMER INSIGHTS

  • Algorithmic and quantitative trading models
  • Portfolio optimization using AI tools
  • Robo-advisors and client personalization
  • Sentiment analysis in financial markets
  • Customer data analytics and segmentation
  • Predictive analytics for client behavior
  • Natural language processing in finance
  • AI for customer support and chatbots

DAY 4

OPEN BANKING IMPLEMENTATION AND SECURITY

  • API management and architecture in banking
  • Data sharing standards and interoperability
  • Open Banking business models and monetization
  • Secure authentication and encryption methods
  • Customer consent and access management
  • Cybersecurity and fraud prevention systems
  • Collaboration with FinTech and third parties
  • Risk and resilience in digital ecosystems

DAY 5

FUTURE OF AI, REGTECH AND ETHICAL INNOVATION

  • RegTech applications in compliance automation
  • AI governance and ethical considerations
  • Bias, fairness, and transparency in algorithms
  • Responsible data use and privacy policies
  • AI for sustainability and ESG finance
  • Global Open Banking innovations and case studies
  • Predicting future financial landscapes
  • Building an AI-enabled financial institution

 

Course Schedule

Discounts and Registration

Group & Corporate Discounts:
Available for companies enrolling multiple participants to help maximize ROI.
Individual Discounts:
Offered to self-sponsored participants who pay in full and upfront.
Registration Process:
Corporate nominations must go through the client’s HR or Training department.
Self-nominations must be prepaid via the “payment by self” option.
Confirmation:
All registrations are subject to DIXONTECH’s approval and seat availability.
Refunds:
Provided in case of course cancellation or no seat availability.
Tax Responsibility:
Clients are responsible for any local taxes in their country.