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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
Requirements
- An understanding of AI and machine learning concepts
- Experience with financial services and fintech applications
- Basic programming skills (Python recommended)
Audience
- Finance professionals
- Fintech developers
- AI specialists
14 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €4560 online delivery, based on a group of 2 delegates, €1440 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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