LangGraph Applications in Finance Training Course

LangGraph Fundamentals for Finance

• A recap of LangGraph architecture and stateful execution mechanics.
• Exploring finance use cases, including research copilots, trade support, and customer service agents.
• Examining regulatory constraints and the importance of auditability.

Financial Data Standards and Ontologies

• An overview of ISO 20022, FpML, and FIX protocols.
• Techniques for mapping schemas and ontologies into graph state.
• Addressing data quality, lineage, and PII management.

Workflow Orchestration for Financial Processes

• Designing KYC and AML onboarding workflows.
• Managing trade lifecycles, exceptions, and case handling.
• Structuring credit adjudication and decision-making paths.

Compliance, Risk, and Controls

• Enforcing policies and managing model risk.
• Implementing guardrails, approval gates, and human-in-the-loop interventions.
• Ensuring comprehensive audit trails, data retention, and explainability.

Integration and Deployment

• Connecting LangGraph to core systems, data lakes, and external APIs.
• Handling containerization, secret management, and environment configuration.
• Establishing CI/CD pipelines, staged rollouts, and canary deployments.

Observability and Performance

• Leveraging structured logs, metrics, traces, and cost monitoring tools.
• Conducting load testing, defining SLOs, and managing error budgets.
• Implementing incident response strategies, rollback procedures, and resilience patterns.

Quality, Evaluation, and Safety

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

Summary and Next Steps