AI+ Finance Practitioner™
- Price 109 EUR + VAT
- E-learning Start any time
- Duration 8 hours of content, self-paced
- Language English
- Topic AI Business
How you can take it
- E-learning Start any time · 109 EUR + VAT Order
- Open course Not available in this format
- Private in-house Any of our courses for your team Request a quote
Overview
What the course covers
The course, the materials and the exam are in English. The description below is the original AI CERTs® text.
- 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
Prerequisites
Basic understanding of finance, curiosity to know how AI impacts financial operations, willingness to understand ethical frameworks
Audience
Who is it for
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.
In the price
What the price includes
- Self-paced online course with the full learning material
- The official AI CERTs® exam
- Digital badge after passing the exam
Course content
Syllabus
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
Exam
About the exam
- 50 Questions
- 90 min Time limit
- 70% Pass mark
- Online proctored exam
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