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AI+ Finance Practitioner™
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Course
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
AVALIABLE AT COMPUNET LIMITED
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Certificate Code
AP-220
Exam Format
AI-Driven Remote Exam Proctoring
Course Overview
Important details and certification information
Instructor-led OR Self-paced course + Official exam + Digital badge
Instructor-Led: 3 Days (live or virtual)
Basic understanding of finance, curiosity to know how AI impacts financial operations, willingness to understand ethical frameworks
50 questions, 70% passing, 90 minutes, online proctored exam
Certification Modules
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
AI Tools Covered
Sentieo
Magnifi
QuantConnect
AlphaSense
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