Certified AI for Finance Professionals Training

Curriculum:

Module 1: Introduction to AI in Finance

• Overview of Artificial Intelligence and Machine Learning
• Importance of AI in the Finance and Banking sectors
• AI applications: automation, predictive analytics, and decision intelligence
• Case studies of AI adoption in financial services (J.P. Morgan, PayPal, Mastercard)

Module 2: Data Foundations for Financial Analytics

• Understanding financial datasets (transactions, ledgers, P&L, balance sheets)
• Data collection, cleaning, and preprocessing
• Introduction to financial data visualization using Power BI and Python (Pandas, Matplotlib)
• Data-driven storytelling for finance teams

Module 3: Machine Learning Fundamentals for Finance

• Supervised and Unsupervised Learning overview
• Regression and classification techniques in financial modeling
• Clustering and anomaly detection for financial data
• Building a simple ML model using Python and Scikit-Learn

Module 4: Predictive Analytics for Forecasting

• AI-based revenue and expense forecasting
• Time series analysis for cash flow and P&L prediction
• Credit risk scoring and default prediction
• Financial scenario simulation and modeling

Module 5: Fraud Detection and Risk Analytics using AI

• Identifying fraudulent transactions using anomaly detection
• Machine Learning for credit card fraud detection
• Sentiment analysis of financial news and market reports
• Risk modeling using AI-based probability systems

Module 6: AI in Financial Planning & Decision Making

• Automating budgeting and forecasting workflows
• Predictive financial planning using AI models
• Real-time decision support systems with AI dashboards
• Use of ChatGPT and Generative AI for financial narrative generation

Module 7: Natural Language Processing (NLP) in Finance

• Extracting insights from financial reports and documents
• Automating financial report writing using Generative AI
• AI-driven chatbots for finance customer service and advisory
• Text analytics for market sentiment and investment prediction

Module 8: Generative AI and Large Language Models for Finance

• Understanding LLMs (ChatGPT, Claude, Gemini, and others)
• Using Generative AI to create automated financial summaries and reports
• AI-based compliance and regulatory reporting automation
• Live demo: Automating month-end close reports using ChatGPT

Module 9: AI Tools and Platforms for Finance Professionals

• Power BI AI features and insights
• Azure Cognitive Services for financial intelligence
• Introduction to ChatGPT, OpenAI API, and LangChain for finance
• Integrating AI models with Excel and ERP systems

Module 10: Building AI-Driven Dashboards and Reports

• Interactive visualization of AI predictions
• Power BI dashboards integrated with ML models
• Real-time data reporting using APIs and AI models
• Hands-on project: AI-powered financial dashboard creation

Module 11: Ethics, Governance, and Compliance in AI Finance

• AI transparency and explainability in financial decision-making
• Bias, fairness, and regulatory compliance in financial AI systems
• Global frameworks: GDPR, RBI, and Basel guidelines on AI usage
• Building trust and accountability in AI-driven finance

Module 12: Capstone Project and Certification

Participants will apply all concepts in a capstone project such as:

• Building an AI-based financial forecasting model
• Automating fraud detection pipeline
• Designing a financial chatbot or analytics dashboard

Project Evaluation & Certification:

Each participant must present their project for evaluation to receive the myTectra Certified AI for Finance Professionals Certificate.