LangGraph Applications in Finance Training Course

LangGraph Fundamentals in Finance

• Review of LangGraph architecture and stateful execution mechanisms.
• Financial use cases: research copilots, trade support, and customer service agents.
• Considerations regarding regulatory constraints and auditability.

Financial Data Standards and Ontologies

• Overview of ISO 20022, FpML, and FIX fundamentals.
• Mapping schemas and ontologies into graph state structures.
• Addressing data quality, lineage, and PII handling.

Workflow Orchestration for Financial Processes

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

Compliance, Risk, and Controls

• Policy enforcement and model risk management.
• Implementation of guardrails, approvals, and human-in-the-loop steps.
• Maintaining audit trails, retention policies, and explainability.

Integration and Deployment

• Connecting to core systems, data lakes, and APIs.
• Containerization, secret management, and environment configuration.
• CI/CD pipelines, staged rollouts, and canary deployments.

Observability and Performance

• Utilizing structured logs, metrics, traces, and cost monitoring.
• Conducting load testing, defining SLOs, and managing error budgets.
• Incident response, rollback procedures, and resilience patterns.

Quality, Evaluation, and Safety

• Designing unit, scenario, and automated evaluation harnesses.
• Red teaming, adversarial prompt testing, and safety checks.
• Dataset curation, drift monitoring, and continuous improvement strategies.

Summary and Next Steps