Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Edge AI in Financial Services
- An overview of Edge AI and its specific applications in finance
- Advantages and challenges associated with Edge AI in banking
- Case studies highlighting successful Edge AI implementations in the financial sector
Establishing the Edge AI Environment
- Installation and configuration of Edge AI tools
- Integration of financial data sources and collection mechanisms
- Introduction to relevant Edge AI frameworks and libraries
- Practical exercises for setting up the environment
Fraud Detection with Edge AI
- Fundamentals of fraud detection
- Developing AI models for real-time fraud identification
- Implementation of anomaly detection systems
- Practical exercises focused on fraud detection techniques
Enhancing Customer Service Using Edge AI
- Overview of customer service dynamics in financial services
- AI techniques for delivering personalized customer interactions
- Implementation of AI-driven chatbots and virtual assistants
- Practical exercises for developing customer service applications
Risk Management with Edge AI
- Introduction to risk management concepts
- Leveraging AI for real-time risk assessment and mitigation
- Implementation of AI-driven decision support systems
- Practical exercises for risk management strategies
Deploying and Managing Edge AI Solutions
- Deployment of AI models on financial edge devices
- Monitoring and maintaining Edge AI systems
- Troubleshooting and optimizing deployed models
- Practical exercises for deployment and operational management
Tools and Frameworks for Financial Edge AI
- Overview of essential tools and frameworks (e.g., TensorFlow Lite, OpenVINO)
- Utilizing TensorFlow Lite for financial AI applications
- Practical exercises involving optimization tools
Real-World Applications and Case Studies
- Review of successful financial Edge AI projects
- Discussion of industry-specific use cases
- Practical project for building and optimizing a real-world financial AI application
Summary and Next Steps
Requirements
- A foundational understanding of Artificial Intelligence and machine learning principles
- Prior experience working within financial services or fintech applications
- Basic programming proficiency (Python is recommended)
Target Audience
- Finance professionals
- Fintech developers
- AI specialists
14 Hours
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 3200 € + VAT*
Contact us for an exact quote and to hear our latest promotions
Testimonials (1)
That we can cover advance topic and work with real-life example
