Course Outline

Introduction to AI in Financial Analysis

  • The role of AI in modern financial analytics
  • Benefits of AI-powered financial modeling
  • Overview of DeepSeek AI capabilities in finance

Understanding DeepSeek AI for Finance

  • Introduction to DeepSeek AI models
  • How DeepSeek processes and analyzes financial data
  • Practical use cases in financial analysis and reporting

Financial Forecasting with DeepSeek AI

  • Using AI for market trend prediction
  • Building financial forecasting models with DeepSeek
  • Analyzing historical data for predictive insights

Risk Assessment and Fraud Detection

  • Leveraging AI for risk modeling
  • Detecting anomalies and fraudulent transactions
  • Applying DeepSeek AI for credit risk analysis

Automating Financial Reports with AI

  • Generating AI-assisted financial summaries
  • Automating regulatory compliance reports
  • Customizing AI-generated insights for financial presentations

DeepSeek AI Integration with Financial Tools

  • Connecting DeepSeek AI with Excel, SQL, and BI platforms
  • API integration for financial automation workflows
  • Best practices for AI implementation in financial operations

Ensuring Accuracy and Compliance in AI-Driven Analysis

  • Validating AI-generated financial predictions
  • Ethical considerations in AI-powered finance
  • Ensuring compliance with financial regulations

Summary and Next Steps

Requirements

  • Basic to intermediate knowledge of financial analysis
  • Experience with data analysis tools such as Excel, SQL, or Python
  • Familiarity with AI concepts (recommended but not required)

Audience

  • Financial analysts
  • Business intelligence professionals
  • Risk management specialists
 14 Hours

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