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AI+ Finance Practitioner™

Course code: NPAP220

Formerly known as AI+ Finance™

Maximize Returns with AI-Enhanced Financial Strategies

  • Finance Transformation: Explore AI applications in credit risk, fraud detection, and financial forecasting.
  • Smart Modelling: Apply predictive analytics and blockchain within financial strategies.
  • Practical AI Tools: Optimize operations and decision-making through hands-on training.
  • Strategic Readiness: Build financial resilience across complex economic ecosystems.
75 EUR

91 EUR including VAT

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Course dates

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 285 EUR

Register

Starting date: Upon request

Guaranteed

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 75 EUR

Register

Starting
date		 Place
Type Course
duration		 Language Price without VAT
G Upon request Self-paced 8 hours en 285 EUR Register
G Upon request Self-paced 8 hours en 75 EUR Register
G Guaranteed course

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Course description

AI-Driven Financial Analysis

Learners will master the use of AI tools to enhance financial analysis, including credit assessments and fraud detection.

Strategic Implementation of AI in Finance

You will gain skills in strategically implementing AI technologies across various financial services, improving efficiency and accuracy.

Forecasting and Risk Management

Learners who will go through this course will have the ability to use AI for predictive analytics, such as stock market forecasting and risk assessment.

Understanding of Blockchain in Finance

Learners will develop an understanding of how blockchain technology can be integrated with AI to revolutionize financial systems and processes.

Course structure

Course Overview

Module 1: Introduction to Artificial Intelligence (AI) and Its Impact on Finance

  • 1.1 Fundamentals of AI in Finance
  • 1.2 Data-Driven Decision Making in Finance
  • 1.3 AI Technologies Shaping the Financial Landscape

Module 2: Data-Driven Decision Making in Finance

  • 2.1 The Power of Financial Data
  • 2.2 Analytics and Insights in Finance
  • 2.3 Implementing AI for Strategic Financial Decision-Making

Module 3: Enhancing Credit and Loans with AI

  • 3.1 Revolutionizing Credit Scoring with AI
  • 3.2 Automating Loan Origination and Processing
  • 3.3 Personalization and Customer Experience in Lending

Module 4: Fraud Detection in Finance with AI

  • 4.1 The Landscape of Financial Fraud
  • 4.2 AI and Machine Learning in Fraud Detection
  • 4.3 Future Directions in AI-driven Fraud Detection

Module 5: Forecasting Stock Market with AI

  • 5.1 Overview of Stock Market Analysis
  • 5.2 AI Technologies in Stock Forecasting
  • 5.3 Challenges and Future of AI in Stock Market Forecasting

Module 6: Blockchain and AI: Revolutionizing Finance

  • 6.1 Introduction to Blockchain in Finance
  • 6.2 Synergy of AI and Blockchain in Finance
  • 6.3 Future Perspectives and Ethical Considerations

Module 7: Emerging Technologies and Their Impact on Finance

  • 7.1 The Expanding Universe of FinTech
  • 7.2 Next-Generation Technologies Shaping Finance
  • 7.3 Integrating Emerging Technologies into Financial Services

Module 8: Implementing AI Strategies in Finance

  • 8.1 Building a Digital-First Finance Strategy
  • 8.2 Operationalizing AI and Emerging Technologies
  • 8.3 Looking Ahead: The Future of Financial Services

Optional Module: AI Agents for Finance

  • 1. What Are AI Agents for Finance
  • 2. Types of AI Agents in Finance
  • 3. Significance of AI Agents in Finance

Prerequisites

  • A basic understanding of finance fundamentals; no technical skills required.
  • An interest in AI’s influence on financial operations and openness to change.
  • Willingness to engage with ethical frameworks and apply AI tools effectively.

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