LangGraph Applications in Finance Training Course

LangGraph Fundamentals in Finance

• Review of LangGraph architecture and the principles of stateful execution.
• Application of finance use cases, including research copilots, trade support, and customer service agents.
• Analysis of regulatory constraints and considerations for auditability.

Financial Data Standards and Ontologies

• Introduction to ISO 20022, FpML, and FIX standards.
• Strategies for mapping schemas and ontologies into graph state.
• Management of data quality, lineage, and PII handling.

Workflow Orchestration for Financial Processes

• Development of KYC and AML onboarding workflows.
• Management of trade lifecycle, exceptions, and case handling.
• Implementation of credit adjudication and decisioning paths.

Compliance, Risk, and Controls

• Enforcement of policies and management of model risk.
• Integration of guardrails, approval mechanisms, and human-in-the-loop steps.
• Maintenance of audit trails, data retention, and system explainability.

Integration and Deployment

• Connection to core systems, data lakes, and external APIs.
• Management of containerization, secrets, and environment configuration.
• Establishment of CI/CD pipelines, staged rollouts, and canary releases.

Observability and Performance

• Utilization of structured logs, metrics, traces, and cost monitoring.
• Execution of load testing, SLO definition, and error budget management.
• Implementation of incident response, rollback strategies, and resilience patterns.

Quality, Evaluation, and Safety

• Development of unit, scenario, and automated evaluation harnesses.
• Conduct of red teaming, adversarial prompt testing, and safety checks.
• Curation of datasets, monitoring for drift, and fostering continuous improvement.

Summary and Next Steps