Course Outline

Introduction to Ollama in Finance

  • Understanding local LLM deployment
  • Benefits of on-device AI in finance
  • Key capabilities and limitations of Ollama

Setting Up Ollama for Financial Environments

  • System setup and model installation
  • Configuration techniques for financial tasks
  • Managing secure environments

Core Finance Use Cases

  • Automated financial reporting
  • Risk assessment and analysis assistance
  • Market summarization and insights

Customizing and Fine-Tuning Models

  • Prompt engineering for finance scenarios
  • Domain-specific data enhancement
  • Balancing accuracy and performance

System Integration and Automation

  • API connections and workflows
  • Integration with financial systems and tools
  • Scripting for automated financial processes

Governance, Security, and Compliance

  • Ensuring data confidentiality
  • Compliance with financial regulations
  • Best practices for secure deployment

Model Evaluation and Validation

  • Accuracy measurement techniques
  • Risk mitigation and validation workflows
  • Continuous model improvement

Operational Deployment and Support

  • Monitoring and optimization strategies
  • Versioning and updating models
  • Resolving common technical issues

Summary and Next Steps

Requirements

  • An understanding of financial workflows
  • Experience with data analysis or financial systems
  • Familiarity with basic AI or machine learning concepts

Audience

  • Finance professionals
  • Financial IT teams
  • Analysts and technical administrators
 14 Hours

Number of participants


Price Per Participant (Exc. Tax)

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