Leverage AI for Scalable Financial Solutions:
Learn how to apply AI in financial modeling, risk management, and data analysis to improve decision-making.
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AI CERTS® certification
AI+ Finance Practitioner™
Formerly known as AI+ Finance™ Maximize Returns with AI-Enhanced Financial Strategies
Enquire about this certificationCourse code: AP-220
Course overview
Review the course before deciding whether it is suitable.
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
- Included
- Instructor-led OR Self-paced course + Official exam + Digital badge
- Duration
- Instructor-Led: 1 day (live or virtual)Self-Paced: 8 hours of content
- Exam format
- 50 questions, 70% passing, 90 minutes, online proctored exam
- Prerequisites
- Basic understanding of finance, curiosity to know how AI impacts financial operations, willingness to understand ethical frameworks
Course focus
Why this certification may be relevant.
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.
Who it may suit
Check the intended audience against your experience and goals.
- 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.
Course content
Modules supplied by AI CERTs.
Open each module to review the stated topics.
01Course Overview
- Course Introduction Preview
02Module 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
03Module 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
04Module 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
05Module 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
06Module 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
07Module 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
08Module 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
09Module 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
10Optional 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 referenced by AI CERTs
Platforms and tools included in the course information.
Sentieo
Magnifi
QuantConnect
AlphaSenseThis course information is supplied through the AI CERTs catalogue. Kiwi Fern Education will confirm current availability, delivery arrangements, inclusions and fees before enrolment. The programme is not presented as a New Zealand Qualifications Authority qualification.
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