Course Outline

Introduction to Edge AI in Financial Services

  • Overview of Edge AI and its applications in finance
  • Benefits and challenges of using Edge AI in banking
  • Case studies of successful Edge AI applications in finance

Setting Up the Edge AI Environment

  • Installing and configuring Edge AI tools
  • Integrating financial data sources and collection systems
  • Introduction to relevant Edge AI frameworks and libraries
  • Hands-on exercises for environment setup

Fraud Detection with Edge AI

  • Introduction to fraud detection
  • Developing AI models for real-time fraud detection
  • Implementing anomaly detection systems
  • Hands-on exercises for fraud detection

Enhancing Customer Service Using Edge AI

  • Overview of customer service in financial services
  • AI techniques for personalized customer interactions
  • Implementing AI-driven chatbots and virtual assistants
  • Hands-on exercises for customer service applications

Risk Management with Edge AI

  • Introduction to risk management
  • Using AI for real-time risk assessment and mitigation
  • Implementing AI-driven decision support systems
  • Hands-on exercises for risk management

Deploying and Managing Edge AI Solutions

  • Deploying AI models on financial edge devices
  • Monitoring and maintaining Edge AI systems
  • Troubleshooting and optimizing deployed models
  • Hands-on exercises for deployment and management

Tools and Frameworks for Financial Edge AI

  • Overview of tools and frameworks (e.g., TensorFlow Lite, OpenVINO)
  • Using TensorFlow Lite for financial AI applications
  • Hands-on exercises with optimization tools

Real-World Applications and Case Studies

  • Review of successful financial Edge AI projects
  • Discussion of industry-specific use cases
  • Hands-on project for building and optimizing a real-world financial AI application

Summary and Next Steps


  • An understanding of AI and machine learning concepts
  • Experience with financial services and fintech applications
  • Basic programming skills (Python recommended)


  • Finance professionals
  • Fintech developers
  • AI specialists
 14 Hours