AI+ Finance Practitioner™

Cieľová skupina

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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.

Štruktúra kurzu

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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

Certifikácie

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50 questions, 70% passing, 90 minutes, online proctored exam