LangGraph Applications in Finance Training Course

LangGraph Fundamentals for Finance

• Review of LangGraph architecture and stateful execution mechanisms.
• Financial use cases: 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.
• Mapping schemas and ontologies into graph states.
• Managing data quality, lineage, and PII.

Workflow Orchestration for Financial Processes

• KYC and AML onboarding workflows.
• Trade lifecycle management, exception handling, and case management.
• Credit adjudication and decisioning paths.

Compliance, Risk, and Controls

• Policy enforcement and model risk management.
• Implementing guardrails, approval processes, and human-in-the-loop steps.
• Ensuring audit trails, data retention, and explainability.

Integration and Deployment

• Connecting to core systems, data lakes, and APIs.
• Managing containerization, secrets, and environments.
• Implementing CI/CD pipelines, staged rollouts, and canary deployments.

Observability and Performance

• Monitoring structured logs, metrics, traces, and costs.
• Conducting load testing, defining SLOs, and managing error budgets.
• Handling incident response, rollbacks, and implementing resilience patterns.

Quality, Evaluation, and Safety

• Utilizing unit, scenario, and automated evaluation harnesses.
• Performing red teaming, adversarial prompt testing, and safety checks.
• Curating datasets, monitoring drift, and driving continuous improvement.

Summary and Next Steps