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Duration 14 hours
Course Outline
Introduction to Ollama in Finance
- Comprehending local LLM deployment
- Advantages of on-device AI in finance
- Principal capabilities and limitations of Ollama
Configuring Ollama for Financial Environments
- System setup and model installation
- Configuration strategies for financial tasks
- Managing secure environments
Key Finance Use Cases
- Automated financial reporting
- Assisting with risk assessment and analysis
- Market summarisation and insights
Customising 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
- Safeguarding data confidentiality
- Adhering to 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 optimisation strategies
- Versioning and updating models
- Resolving common technical issues
Summary and Next Steps
Requirements
- A solid understanding of financial workflows
- Experience with data analysis or financial systems
- Familiarity with fundamental AI or machine learning concepts
Target Audience
- Finance professionals
- Financial IT teams
- Analysts and technical administrators
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customised Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from £3200 + VAT*
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Testimonials (1)
i already have some reports that i know, i will use some of the prompts that looked at today
