Opleiding: AI+ Finance Practitioner™

Formerly known as AI+ Finance™

Maximize Returns with AI-Enhanced Financial Strategies

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

Finance Professionals: Enhance your financial analysis and decision-making skills by integrating AI tools for better risk management and investment strategies.

Financial Analysts & Advisors: Learn to leverage AI for optimized portfolio management, data analysis, and market forecasting to improve client outcomes.

Banking & Investment Experts: Use AI to streamline financial modeling, automate tasks, and enhance the accuracy of financial predictions and decision-making.

Business Leaders:Drive financial innovation by adopting AI-powered tools to optimize budgeting, forecasting, and investment strategies.

Students & Fresh Graduates: Gain a competitive edge in the finance industry by mastering AI tools and techniques that are transforming the future of finance.

  • Leverage AI for Scalable Financial Solutions:Learn how to apply AI in financial modeling, risk management, and data analysis to improve decision-making.
  • Optimize Investment Strategies with AI:Use AI-driven analytics to enhance portfolio management and forecast market trends.
  • Stay Ahead in AI-Powered Finance:The finance industry is rapidly evolving, and AI-skilled professionals are in high demand to drive innovation and efficiency.
  • Expand Your Career in AI-Driven Finance:AI expertise in finance is essential for roles in banking, investment, risk management, and financial technology.
Course Overview
  • Course Introduction Preview
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
Tools you will explore
  • Sentieo
  • Magnifi
  • QuantConnect
  • AlphaSense

Online proctored exam included, with one free retake.
Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam

Access to all materials and exams is provided for 365 days after delivery.

Instructor-led OR Self-paced course + Official exam + Digital badge

De OCICT maatwerk-methode houdt in dat op basis van de behoefte van de klant - en indien nodig na een intakegesprek - een individueel opleidingstraject wordt opgesteld. De trainingen worden veelal individueel gevolgd, zodat iedere training een maatwerktraject is. Klassikale trainingen zijn natuurlijk mogelijk, mits ze aansluiten bij de leerbehoeften van de deelnemers / opdrachtgever.

Alle onderdelen van de training kennen een voortdurende wisselwerking tussen theorie en praktijk. De inhoud van de training kan vooraf per cursist worden aangepast en tijdens de cursus worden bijgesteld. De focus ligt op maatwerk: het traject wordt afgestemd op de doelstellingen van de deelnemer(s) en/of opdrachtgever, ongeacht of het individueel of klassikaal wordt aangeboden.

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€995
Vrij van BTW
Aangeboden door
OC ICT
Onderwerp
Niveau
Duur
1 dag
Looptijd
8 dagen
Taal
en
Type product
training
Lesvorm
Klassikaal
Aantal deelnemers
Min: 3
Max: 12
Tijdstip
Overdag
Keurmerken aanbieder
CRKBO en BTW-vrijstelling
VOI
NRTO
Erkend keurmerk
BTW-vrijstelling