1 dagen
Officieel examen
Praktijkgerichte training met individuele begeleiding
AI+ Finance Agent Specialty™
Instructor-led OR Self-paced course + Official exam + Digital badge
- Individuele begeleiding door een trainer uit de praktijk
- Cursus, examen en begeleiding in één traject
- Studielast 1 dagen
Al 27+ jaar praktijkgerichte IT-opleidingen met individuele begeleiding
Schrijf je in
Erkend opleider en partner van
164
cursussen in ons aanbod
±200
gecertificeerde trainers
27+
jaar ervaring, sinds 1999
3
leslocaties in Nederland
Voor wie
Voor wie is deze training
Finance Professionals: Ideal for analysts, accountants, and financial managers looking to integrate AI into everyday workflows.
Investment & Portfolio Specialists: Suited for individuals aiming to enhance forecasting, risk modeling, and data-driven investment strategies.
Fintech Enthusiasts: Perfect for learners interested in the intersection of AI, automation, and modern financial technologies.
Data & Tech Professionals: Great for those with analytical or programming backgrounds seeking to apply AI in financial domains.
Business Leaders & Decision-Makers: Beneficial for executives wanting to leverage AI for smarter budgeting, planning, and strategic financial growth.
Het programma
Dit leer je tijdens de training
Geen theorie om de theorie. Elke module eindigt met een opdracht die je direct in je eigen praktijk gebruikt.
Na deze training
Wat je na deze training kunt
- Financial Accuracy & Reliability: AI automation reduces manual errors and enhances precision across reconciliation, reporting, and day-to-day finance tasks.
- Strategic Insight & Intelligence: Data-driven forecasting and analytics empower faster, smarter decisions in budgeting, planning, and financial strategy.
- Risk Management & Compliance Strength: AI tools elevate fraud detection, regulatory oversight, and secure handling of sensitive financial data.
- Operational Efficiency in Finance: Intelligent automation streamlines routine workflows, enabling teams to focus on high-impact financial initiatives.
- Career Advancement in Digital Finance: Certification positions professionals at the forefront of AI-enabled finance transformation, increasing market relevance.
Inhoud
Het programma
Opgebouwd van basis naar toepassing, met opdrachten uit je eigen praktijk.
Module 1: Introduction to AI Agents in Finance
- 1.1 Understanding AI Agents in Finance vs Traditional Financial Automation
- 1.2 The Evolution of AI Agents in Financial Services
- 1.3 Overview of Different Types of AI Agents in Finance
- 1.4 Importance of Agent Autonomy and Task Delegation in Financial Settings
- 1.5 Key Differences Between AI Agents in Finance and Traditional Automation
- 1.6 Hands-On Activity: Exploring AI Agents in Finance
Module 2: Building and Understanding AI Agents in Finance
- 2.1 Architecture of AI Agents in Finance
- 2.2 Tools and Libraries for Agent Development
- 2.3 AI Agents vs. Static Models
- 2.4 Overview of Agent Lifecycle
- 2.5 Use Case: Customer Support Agents in Banks for Handling KYC, FAQs, and Transaction Disputes
- 2.6 Case Study: Bank of America’s Erica: A Virtual Financial Assistant that Handles 1+ Billion Interactions Using Predictive AI
- 2.7 Hands-On Activity: Building and Understanding AI Agents in Finance
Module 3: Intelligent Agents for Fraud Detection and Anomaly Monitoring
- 3.1 Supervised/Unsupervised ML for Fraud Detection
- 3.2 Pattern Analysis & Behavioural Profiling
- 3.3 Real-time Monitoring Agents
- 3.4 Real-World Use Case: AI Agents Monitoring Transaction Behaviour and Flagging Anomalies for Real-Time Fraud Detection in Digital Wallets
- 3.5 Case Study: PayPal’s AI System Uses Graph-Based Anomaly Detection Agents to Flag 0.32% of All Transactions for Fraud with 99.9% Accuracy
- 3.6 Hands-On Activity: Intelligent Agents for Fraud Detection and Anomaly Monitoring
Module 4: AI Agents for Credit Scoring and Lending Automation
- 4.1 Feature Generation from Non-Traditional Credit Data
- 4.2 Explainability (XAI) in Credit Decisions
- 4.3 Bias Mitigation in Lending Agents
- 4.4 Real-World Use Case: Agents Assessing New-to-Credit Individuals Using Transaction and Mobile Data
- 4.5 Case Study: Upstart’s AI-Based Lending Platform Approved by CFPB Showed 27% Increase in Approval Rate and 16% Lower APRs for Borrowers
- 4.6 Hands-On Activity: AI Agents for Credit Scoring and Lending Automation
Module 5: AI Agents for Wealth Management and Robo-Advisory
- 5.1 Personalization Using Profiling Agents
- 5.2 Portfolio Rebalancing Algorithms
- 5.3 Sentiment-Aware Investing
- 5.4 Real-World Use Case: AI Agent Adjusting Portfolio Weekly Based on Financial Goals and Market Trends
- 5.5 Case Study: Wealthfront’s Path Agent Uses Financial Behavior Modeling to Recommend Personalized Savings Goals and Investment Paths
- 5.6 Hands-On Activity: AI Agents for Wealth Management and Robo-Advisory
Module 6: Trading Bots and Market-Monitoring Agents
- 6.1 Reinforcement Learning in Trading Agents
- 6.2 Predictive Modelling Using Historical Data
- 6.3 Risk-Reward Threshold Management
- 6.4 Real-World Use Case: AI Trading Agents Performing Arbitrage Between Crypto Exchanges
- 6.4 Case Study: Renaissance Technologies Utilizes AI to Automate Short-Hold Trades, Generating Consistent Alpha via Adaptive Trading Bots
- 6.5 Hands-On Activity: Trading Bots and Market-Monitoring Agents
Module 7: NLP Agents for Financial Document Intelligence
- 7.1 LLMs in Earnings Call and Filings Analysis
- 7.2 AI Summarization and Event Detection
- 7.3 Voice-to-Text and Key-Point Extraction
- 7.4 Real-World Use Case
- 7.5 Case Study: BloombergGPT — A Financial-Grade Large Language Model
- 7.6 Hands-On Activity: NLP Agents for Financial Document Intelligence
Module 8: Compliance and Risk Surveillance Agents
- 8.1 AI for Anti-Money Laundering (AML) and Know Your Business (KYB)
- 8.2 Regulation-aware Rule Modelling
- 8.3 Transaction Graph Analysis
- 8.4 Real-World Use Case: Agent tracking suspicious cross-border money transfers in real-time across multiple accounts.
- 8.5 Case Study: HSBC uses Quantexa’s AI agents to trace AML networks, increasing suspicious activity detection by 30%.
- 8.6 Hands-On Activity: Compliance and Risk Surveillance Agents in Financial Systems
Module 9: Responsible, Fair & Auditable AI Agents
- 9.1 Governance Frameworks for AI in Finance (RBI, EU AI Act)
- 9.2 Transparency and Auditability in Decision Logic
- 9.3 Fairness and Explainability
- 9.4 Real-World Use Case: Auditable AI Agent Logs Used During Internal Policy Audits to Ensure Fair Lending practices.
- 9.5 Case Study: Wells Fargo implemented internal AI fairness reviews for lending bots post regulatory scrutiny.
- 9.6 Hands-On Activity: Responsible, Fair & Auditable AI Agents in Finance
Module 10: World Famous Case Studies
- 10.1 Case Study 1: JPMorgan’s COiN Platform
- 10.2 Case Study 2: AI in Fraud Detection – PayPal’s Decision Intelligence
- 10.3 Case Study: AI-Driven Credit Scoring – Upstart’s Lending Platform
- 10.4 Capstone Project
- 10.5 Key Takeaways of the Module
Tools you will explore
- Python
- TensorFlow
- Pandas
- NumPy
- Power BI
- SQL
- OpenAI API
- APIs
Praktisch
Goed om te weten
Studielast
1 dagen
Met individuele begeleiding van je trainer.
Leervorm
Instructor-led OR Self-paced course + Official exam + Digital badge
Examen en kenmerken
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.
Voorkennis
Basic Knowledge of Financial Markets, Familiarity with Machine Learning, Programming Skills, Statistical Analysis Understanding, Interest in Financial Technology
Samenvatting
Alles op een rij
AI+ Finance Agent Specialty™
1 dagen
Officieel examen
- Betalen op factuur mogelijk
- Verschuiven of annuleren volgens onze voorwaarden
- Ook incompany voor je hele team via maatwerk
Zekerheid
Inschrijven zonder verrassingen
Heldere voorwaarden
Verschuiven of annuleren doe je volgens onze algemene voorwaarden. Geen kleine lettertjes achteraf.
Hulp bij je keuze
Twijfel je of dit de juiste training is voor jouw rol of team? Stel je vraag, we denken met je mee.
Veelgestelde vragen
Vragen over deze training
Heb ik technische voorkennis nodig?
Nee. Je hoeft niet te kunnen programmeren. Ervaring met Microsoft 365 in je dagelijkse werk is voldoende.
Is het certificaat erkend?
Bij trainingen met examen ontvang je na het behalen een officiële digitale badge van de certificeringspartij, zoals AI CERTs. OC ICT verzorgt als geautoriseerd trainingspartner de training en het examen.
Kan ik de training ook online volgen?
Ja. Naast de klassikale variant in Nieuwegein zijn er virtuele sessies (Virtual Classroom Training). Je zit dan live in de les met dezelfde trainer.
Wat als ik verhinderd ben op de gekozen datum?
Verschuiven naar een andere datum kan volgens onze algemene voorwaarden. Neem contact op met onze servicedesk, dan regelen we het samen.
Kunnen we deze training met het hele team volgen?
Ja. Voor teams verzorgen we deze training incompany, afgestemd op jullie organisatie en cases. Vraag een voorstel aan en we plannen een intake.
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Klaar om te starten?
Eén traject met cursus, examen en individuele begeleiding. Schrijf je in of stel eerst je vraag.