Training Deep Learning in Banking with Python
Practical information about training
- CATEGORY: Technologies
- SUBCATEGORY: AI
- TRAINING CODE: IT-AI-184
- DURATION: 4 days
- PRICE INFORMATION from: 3950 PLN net
- LANGUAGE OF TRAINING: polish
- FORM OF IMPLEMENTATION: stationary, online
Training description
The training presents advanced applications of Deep Learning in the banking sector using the Python language. The program combines the theoretical foundations of deep learning with practical implementations taking into account the specifics of the banking industry. Participants, through practical workshops, learn the process of designing, implementing and deploying Deep Learning models in a banking environment. The classes use real use cases from the banking sector, allowing them to understand the practical aspects of applying artificial intelligence in banking.
Participant profile
- Bank analysts
- Data Scientists in Financial Institutions
- Bank risk specialists
- Banking systems programmers
- Anti-fraud experts
- Compliance analysts
- ML engineers in banking
- Architects of banking systems
Agenda
- Foundations of Deep Learning in Banking
- Specifics of bank data
- Model architecture for banking applications
- Data preparation and validation
- Regulatory requirements
- Applications in key areas
- Credit risk assessment systems
- Fraud detection
- Customer segmentation
- Personalization of banking services
- Advanced modeling techniques
- Recursive networks in transaction analysis
- Models of attention in risk assessment
- Product recommendation systems
- Transfer learning in banking
- Implementation and maintenance
- Integration with banking systems
- Monitoring and auditing of models
- Regulatory compliance
- Security of solutions
Benefits
Upon completion of the training, the participant will be able to design and implement Deep Learning solutions tailored to the requirements of the banking sector. He will gain the ability to implement models that are compliant with banking regulations. He will learn to create fraud detection and risk assessment systems using deep learning. Will be able to build models for customer segmentation and personalization of banking services. Will learn methods for integrating AI solutions into existing banking systems. Will gain the ability to ensure the security and auditability of AI models. Will master techniques for monitoring and updating AI systems in a banking environment.
Required preparation of participants
- Knowledge of Python language
- Basic knowledge of machine learning
- Experience in the banking sector
- Understanding banking processes
Issues
- Deep Learning models in banking
- Bank data processing
- Fraud detection
- Credit risk assessment
- Customer segmentation
- Regulatory compliance
- Safety of models
- AI systems audit
- Performance monitoring
- Integration of systems
- Personalization of services
- Industry best practices
Do you have any questions?
Feel free to contact us.
Klaudia Janecka
+48 539 064 686
klaudia.janecka@eitt.pl
31 Ząbkowska Street 03-736 Warsaw
Forms of training delivery
Stationary training
- Training at the customer's premises or at a designated location
- Training room equipped with the necessary equipment
- Training materials in electronic form
- Coffee breaks and lunch
- Direct interaction with the trainer
- Networking in a group
- Workshop exercises in teams
Remote training
- Virtual training environment
- Electronic materials
- Interactive online exercises
- Breakout rooms for group work
- Technical support during the training
- Recordings of the session (optional)
Possibility of funding
The training can be financed with public funds under:
- National Training Fund (KFS)
- Development Services Base (BUR)
- EU projects implemented by PARP
- HR Academy Program (PARP)
- Regional operational programs
If you are interested in funding, our team will help you prepare the required documentation.
HAVE A QUESTION?
Contact us for more information about our training, programs and cooperation. We will be happy to answer all your inquiries!
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Do you have any questions?
Feel free to contact us.
Klaudia Janecka
+48 539 064 686
klaudia.janecka@eitt.pl
31 Ząbkowska Street 03-736 Warsaw
FAQ - Frequently Asked Questions
- One-pager invitation with deadlines
- Project kick-off
- Strategic leadership and thinking
- Communication and Cooperation. Conflict management
- Motivating, engaging and difficult decisions in business
- Managing Change and Innovation. Leadership in crisis
- Building the organization of the future
- Best practices workshop - retrospective; creating a coherent program for middle and lower management levels























