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Technologies / Artificial Intelligence

Deep Learning in Banking with R

The training presents advanced applications of Deep Learning in the banking sector using the R language. The program is designed to combine the theoretical foundations of deep learning with practical implementations that take into account the specifics of the banking sector. Through intensive workshops, participants learn to design and implement AI models that meet the regulatory and business requirements of banks. The classes use real-life banking scenarios, enabling them to understand the practical aspects of implementing artificial intelligence in a banking environment.

Issues

  • Deep Learning in R

  • Bank data analysis

  • Risk modeling

  • Fraud detection

  • Behavioral analysis

  • Personalization of services

  • Regulatory compliance

  • Audit of models

  • Systems security

  • Production deployments

  • Performance monitoring

  • Maintaining solutions

  • Big Data systems architecture

  • Data models

  • Processing of bulk data

  • Data Lake Basics

  • Data security

  • Data quality

  • Storage strategies

  • Analytical algorithms

  • Big Data Technologies

  • Industry best practices

  • Use cases

  • Basics of implementation

Benefits

  • Upon completion of the training, the participant will be able to implement advanced Deep Learning solutions in a banking environment using R
  • He or she will gain the ability to create models that comply with the regulatory requirements of the banking sector
  • To design fraud detection and risk assessment systems using deep learning
  • Will be able to create advanced models for customer behavior analysis and service personalization
  • Will learn methods for effective integration of AI solutions into banking systems
  • Will gain the ability to ensure auditability and security of models
  • Will master techniques for effective monitoring and updating of AI systems in banking.Upon completion of the training, the participant will be able to understand and apply basic concepts of Big Data systems in practice
  • The ability to identify appropriate technologies for specific use cases
  • To design simple Big Data solutions in accordance with industry best practices
  • Will be able to assess the quality and security of data in Big Data systems
  • Will learn methods to efficiently store and process large data sets
  • Will gain the ability to make informed technology decisions in Big Data projects
  • Will master the basics of data management in a Big Data environment

Who is this training for?

Banking analysts using R
Data Scientists in the Financial Sector
Bank risk specialists
R programmers in banking institutions
Banking modeling experts
Compliance analysts
Anti-fraud specialists
Architects of banking systems

Prerequisites

  • Advanced knowledge of the R language
  • Basic knowledge about Deep Learning
  • Experience in the banking sector
  • Knowledge of banking regulations
  • Basic knowledge of databases
  • General knowledge of IT systems
  • Understand basic programming concepts
  • Experience in working with data

Training program

01

Deep Learning Ecosystem in R

  • Specifics of bank data
  • Preparation of the environment
02

Regulatory Framework

  • Modeling of banking processes
03

Credit rating

  • Anti-fraud systems
  • Analysis of customer behavior
04

Offer personalization

  • Advanced implementations
  • Recursive networks in transaction analysis
  • Ensemble models in risk assessment
  • Product recommendation systems
  • Automation of decision-making processes
05

Production aspects

  • Implementing models
  • Monitoring and validation
06

Regulatory compliance

  • Maintenance of systems

Delivery Methods

Online

  • Convenience of participating from anywhere
  • Interactive live sessions with trainer
  • Materials available for 30 days
  • No travel costs

On-site

  • Direct contact with trainer and group
  • Intensive hands-on workshops
  • Networking with other participants
  • Full focus on learning

Frequently asked questions

Who is the Deep Learning in Banking with R training for?

This training is designed for professionals looking to develop skills in deep learning in banking with r. Required level: advanced.

How long is the Deep Learning in Banking with R training?

The training lasts 4. Available in online or on-site format.

Will I receive a certificate?

Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.

Can this training be conducted for a closed group?

Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.

Monika Fengler
Monika Fengler Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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Trusted by

We train teams at Poland's largest companies

ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

Interested in this training?

Contact us - we'll prepare an offer tailored to your organization's needs.

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