LangGraph Applications in Finance Training Course

LangGraph Fundamentals for Finance

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

Financial Data Standards and Ontologies

• Introduction to ISO 20022, FpML, and FIX protocols.
• Mapping schemas and ontologies into graph state structures.
• Managing data quality, lineage, and PII compliance.

Workflow Orchestration for Financial Processes

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

Compliance, Risk, and Controls

• Policy enforcement and model risk management strategies.
• Implementation of guardrails, approval processes, and human-in-the-loop steps.
• Maintaining audit trails, data retention, and explainability.

Integration and Deployment

• Connecting to core banking systems, data lakes, and external APIs.
• Containerization, secrets management, and environment configuration.
• CI/CD pipelines, staged rollouts, and canary releases.

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

• Unit testing, scenario simulation, and automated evaluation harnesses.
• Red teaming, adversarial prompt testing, and safety verification.
• Dataset curation, drift monitoring, and continuous improvement cycles.

Summary and Next Steps