Financial Services In
Fintech for Real AI in Banking and Finance.

FinTech for Real AI in BnF is a focused short course that introduces participants to the application of artificial intelligence (AI) in banking and finance (BnF). The course explores how AI is revolutionizing the financial industry by enhancing efficiency, reducing risk, and improving customer experience. Participants will learn key concepts of FinTech, AI technologies, machine learning, and their practical use in banking operations, financial services, and investment management. The course combines theory with real-world applications to prepare students for the evolving demands of the financial sector.

Overview

"FinTech Revolution: AI in Banking"

Overview

Course Learning Outcomes (CLOs)

  • Understand the intersection of AI and FinTech in the banking and finance sector
  • Analyze AI-driven technologies used in financial services
  • Apply AI and machine learning techniques to optimize banking operations
  • Assess the risks and challenges posed by AI in financial systems
  • Develop AI-based solutions to improve decision-making in financial institutions

Student Learning Outcomes (SLOs)

  • Identify key AI technologies transforming the financial industry
  • Evaluate the effectiveness of AI-driven financial services
  • Implement AI tools to improve banking and investment management processes
  • Manage risks associated with AI implementation in financial operations
  • Utilize machine learning for predictive analysis and financial forecasting

 

100% International

Study at your own pace from anywhere in the world

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50,000+ students

enrolled in Germany’s largest university

Study contents

Course Content Outline.

  • Introduction to FinTech and AI in banking and finance
  • AI technologies: machine learning, natural language processing, and robotic process automation
  • AI-driven financial services: fraud detection, customer experience enhancement, and risk management
  • AI in investment management: portfolio optimization, predictive analytics, and automated trading
  • Regulatory and ethical considerations in AI implementation
  • Case studies on AI applications in banking and finance

Admission

Admission Criteria

  • High school diploma or equivalent
  • Age: 18 years and above
  • English proficiency (if required)
  • Basic understanding of banking or finance concepts preferred
  • Interest in AI and its application in the financial sector

Careers

Career

  • Students interested in entering the FinTech industry with a focus on AI
  • Professionals looking to advance their careers in finance, banking, or AI-driven industries
  • Entrepreneurs and tech enthusiasts exploring AI solutions for the financial sector
  • Job opportunities include FinTech Analyst, AI Consultant for Banking, Data Scientist in Finance, Risk Management Specialist, AI Solutions Developer, and Financial Technology Strategist

Student reviews

Coming Soon.

Tuition fees

Fintech for Real AI in Banking and Finance. (Duration 1 Hours)

"Learn how AI is transforming banking and finance through innovative FinTech solutions."

300 $

150 $ / Total Cost

All our study programmes include the following benefits

  • Teaching and study material
  • Marking of your end-of-module exams
  • Monthly live and recorded tutorials
  • Use of the online campus
  • Individual study coaching
  • Online exams
  • Career coaching
  • Learn English for free

Our global recognition

IU is recognised by WES Canada and U.S., which means your degree can be converted to points in the local system for purposes of immigration, work, or studies.

As the first EU institution in UNESCO's Global Education Coalition, IU is committed to ensuring accessible quality education to students in crisis worldwide through free online micro-credentials.

Our company partners

For over 20 years, IU has established partnerships with leading global companies. This offers you the chance to gain firsthand experience through internships and projects and allow us to adapt our learning content to the ever-evolving needs of the labour market. You'll benefit from an education designed to bridge the gap between theory and real-world practice, ensuring your readiness for your future career.

Recognition

Recognition of previous achievements

Have you already completed a training course, studied at a university or gained work experience? Have you completed a course or a learning path through EPIBM LinkedIn Learning, and earned a certificate? Then you have the opportunity to get your previous achievements recognised, and complete your studies at EPIBM sooner.

Save time:

Skip individual modules or whole semesters!
Even before you apply for a study programme, we’ll gladly check whether we can take your previous achievements into account: 100% online, no strings attached. Simply fill in our recognition application form, which you can find under the content section of each study programme's webpage, and upload it via our upload section. You can also e-mail it to us, or send it via post.
Send an email to [email protected] to find out which previous achievements you can get recognised. You can get your previous achievements recognised during your studies. Recognition files

F.A.Q

Frequently Asked Questions

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