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AI+ Finance Practitioner™

Kód kurzu: NPAP220

Tato část není lokalizována

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.
1 830 Kč

2 214 Kč s DPH

Výběr termínů
onas
Máte dotaz?
+420 731 175 867 edu@edutrainings.cz

Odborní
certifikovaní lektoři

Mezinárodně
uznávané certifikace

Široká nabídka technických
a soft skills kurzů

Zobrazit soft skills kurzy

Skvělý zákaznický
servis

Přizpůsobení kurzů
přesně na míru

Termíny kurzu

Počáteční datum: Na vyžádání

Garantovaný

Forma: Self-paced

Délka kurzu: 8 hodin

Jazyk: en

Cena bez DPH: 6 950 Kč

Registrovat

Počáteční datum: Na vyžádání

Garantovaný

Forma: Self-paced

Délka kurzu: 8 hodin

Jazyk: en

Cena bez DPH: 1 830 Kč

Registrovat

Počáteční
datum		 Místo
konání		 Forma Délka
kurzu		 Jazyk Cena bez DPH
G Na vyžádání Self-paced 8 hodin en 6 950 Kč Registrovat
G Na vyžádání Self-paced 8 hodin en 1 830 Kč Registrovat
G Garantovaný kurz

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Popis kurzu

Tato část není lokalizována

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.

Struktura kurzu

Tato část není lokalizována

Course Overview

Module 1: Foundations of AI in Modern Finance

  • 1.1 Understanding AI in Financial Services
  • 1.2 The AI Transformation of Finance
  • 1.3 Financial Data and AI Readiness
  • 1.4 AI Literacy for Finance Professionals
  • 1.5 Real World Case Studies

Module 2: AI-Assisted Financial Analysis and Decision Intelligence

  • 2.1 Financial Analysis with AI
  • 2.2 Generative AI for Finance Workflows
  • 2.3 Predictive and Decision Intelligence
  • 2.4 Retrieval-Augmented Generation (RAG) in Finance
  • 2.5 Real World Case Studies

Module 3: AI for Banking, Lending, Payments, and Customer Finance

  • 3.1 AI in Digital Banking and Financial Services
  • 3.2 Intelligent Lending and Credit Decisioning
  • 3.3 Payments, Embedded Finance, and Fintech Innovation
  • 3.4 Customer Experience and Financial Personalization

Module 4: AI for Risk, Fraud, Compliance, and Financial Crime

  • 4.1 Modern Financial Risk Management
  • 4.2 Fraud Detection and Financial Crime Analytics
  • 4.3 Regulatory AI and Compliance Automation
  • 4.4 Cybersecurity for AI in Finance

Module 5: Investment Intelligence, Markets, and AI Agents

  • 5.1 AI in Investment and Asset Management
  • 5.2 Alternative Data and Financial NLP
  • 5.3 AI Agents and Autonomous Finance Workflows
  • 5.4 Algorithmic and AI-Enhanced Trading

Module 6: Digital Assets, Tokenization, and Emerging Financial Infrastructure

  • 6.1 Blockchain and Digital Asset Foundations
  • 6.2 Tokenization and On-Chain Finance
  • 6.3 DeFi, Embedded Finance, and Next-Generation Financial Infrastructure
  • 6.4 Emerging Technologies Shaping Finance

Module 7: AI Governance, Model Risk, and Finance Transformation

  • 7.1 Responsible AI in Finance
  • 7.2 Model Risk Management
  • 7.3 AI Strategy and Finance Operating Models
  • 7.4 Building an AI-Enabled Finance Function
  • 7.5 Real-World Case Studies

Module 8: Capstone – AI Finance Transformation and Governance Project

  • 8.1 Select a Financial Use Case
  • 8.2 Design an AI Solution
  • 8.3 Build an AI Finance Governance Package
  • 8.4 Final Capstone Deliverable
  • 8.5 Review and Reflection
  • 8.6 Capstone 1: AI Finance Data Analyst
  • 8.7 Capstone 2: AI Finance Risk & Control Assistant

Optional Module: AI Agents for Finance Practitioner

  • 1.1 What Are AI Agents for Finance?
  • 1.2 Types of AI Agents in Finance
  • 1.3 Significance of AI Agents in Finance

Předpokládané znalosti

Tato část není lokalizována

  • 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.

Potřebujete poradit nebo upravit kurz na míru?

onas

produktová podpora

+420 731 175 867

edu@edutrainings.cz

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