LangGraph Applications in Finance Training Course

LangGraph Fundamentals for Finance

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

Financial Data Standards and Ontologies

• Foundations of ISO 20022, FpML, and FIX.
• Mapping schemas and ontologies into graph state.
• Data quality, lineage tracking, and PII management.

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.
• Guardrails, approval workflows, and human-in-the-loop interventions.
• Audit trails, data retention, 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 releases.

Observability and Performance

• Structured logs, metrics, traces, and cost monitoring.
• Load testing, SLOs, and error budget management.
• Incident response, rollback strategies, and resilience patterns.

Quality, Evaluation, and Safety

• Unit, scenario, and automated evaluation harnesses.
• Red teaming, adversarial prompts, and safety validations.
• Dataset curation, drift monitoring, and continuous improvement.

Summary and Next Steps