Artificial Intelligence and Software Training Program for Banking

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 Last update date 12/2025
 Türkçe

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Artificial Intelligence and Software Training Program for Banking

The Artificial Intelligence and Software Training Program for Banking aims to equip participants with the skills to increase operational efficiency, improve risk management, and develop innovative methods in data analysis by using artificial intelligence, machine learning, and software solutions in the banking sector.

1. Program Introduction and Objectives

  • The Artificial Intelligence and Software Training Program for Banking aims to teach participants how to effectively use artificial intelligence (AI) and software solutions in the banking sector.
  • Participants will receive comprehensive training on increasing efficiency in banking services, improving customer experience, strengthening risk management, and automating processes.

2. The Impact of Artificial Intelligence and Machine Learning on Banking

  • What are Artificial Intelligence (AI) and Machine Learning (ML)?
  • Areas of use of AI and ML in the banking sector
  • AI applications in customer services
  • Use of artificial intelligence in risk management and credit assessment
  • Fraud detection and security improvements

3. Software Solutions and Digital Transformation in Banking

  • Core software solutions related to banking
  • Digital banking and software-based financial services
  • Data analytics and decision support systems in banking software
  • Automation and robotic process automation (RPA) applications
  • API-based services and integration solutions

4. Decision Support Systems Using Data Analysis and Artificial Intelligence

  • Big data analytics and its use in banking
  • AI-based decision support systems
  • Creating value from data: the impact of AI on data-driven decisions
  • Integration of AI algorithms into banking operations

5. Risk Management with Artificial Intelligence

  • The role of artificial intelligence and machine learning in risk analysis and management
  • Credit risk assessment and modeling
  • Market risk and liquidity risk forecasting
  • Pre- and post-crisis management strategies with artificial intelligence
  • AI-supported fraud and scam detection

6. Chatbots and Customer Service Automation in Banking

  • Use of chatbots in the banking sector
  • AI-powered solutions in customer services
  • 24/7 customer support and improving service quality with AI
  • Integration of chatbots and natural language processing (NLP) technologies
  • Improving customer satisfaction and experience with artificial intelligence

7. Security with Artificial Intelligence and Software Solutions

  • Cybersecurity in banking and the role of AI
  • AI-based threat detection and security protocols
  • Authentication and preventive measures against fraud
  • AI-supported data security and encryption technologies
  • Blockchain technology and financial security

8. AI Applications and Software Development Tools

  • Popular artificial intelligence development tools and platforms
  • AI-based software development using Python, R, and SQL
  • Deep learning and artificial neural networks
  • Customized software development processes for banking
  • Cloud-based solutions for AI applications

9. The Future of Banking and Artificial Intelligence Applications

  • The future of the banking sector: AI, blockchain, and other innovative technologies
  • Compliance of AI with regulations and ethical issues
  • Digital transformation strategies in banking
  • Sustainable financial solutions with artificial intelligence
  • The role of AI and software applications in future banking services

10. Skills and Certifications to Be Gained from the Training

At the end of the training, participants will gain the ability to effectively use artificial intelligence and software solutions in the banking sector. In addition, participants will be awarded internationally recognized certificates in the fields of digital transformation and software development in banking.

The training is open to corporate collaboration (institution/company legal entity packages), and individual applications are not accepted. The training content can be restructured according to the corporate participant profile and needs. As a result of mutual discussions, the scope and method of the training (Face-to-Face, Online) are determined and the relevant processes are completed. If an agreement is reached, suitable days and times for your institution’s participants and our instructors, as well as the training location, are determined.

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