LangGraph Applications in Finance Training Course

LangGraph Fundamentals in Finance

• A refresher on LangGraph architecture and stateful execution mechanisms.
• Key finance use cases, including research copilots, trade support, and customer service agents.
• Considerations for regulatory constraints and auditability.

Financial Data Standards and Ontologies

• Overview of ISO 20022, FpML, and FIX protocols.
• Techniques for mapping schemas and ontologies into graph states.
• Best practices for data quality, lineage, and PII management.

Workflow Orchestration for Financial Processes

• Designing KYC and AML onboarding workflows.
• Managing trade lifecycles, exceptions, and case handling.
• Structuring credit adjudication and decisioning paths.

Compliance, Risk, and Controls

• Strategies for policy enforcement and model risk management.
• Implementing guardrails, approval processes, and human-in-the-loop interventions.
• Maintaining audit trails, data retention, and explainability.

Integration and Deployment

• Connecting LangGraph systems to core infrastructure, data lakes, and external APIs.
• Best practices for containerization, secrets management, and environment configuration.
• Establishing CI/CD pipelines, staged rollouts, and canary deployments.

Observability and Performance

• Utilizing structured logs, metrics, traces, and cost monitoring tools.
• Conducting load testing and managing SLOs and error budgets.
• Developing incident response, rollback, and resilience patterns.

Quality, Evaluation, and Safety

• Building unit, scenario, and automated evaluation harnesses.
• Performing red teaming, adversarial prompting, and safety checks.
• Curating datasets and monitoring drift for continuous improvement.

Summary and Next Steps