LangGraph Applications in Finance Training Course

LangGraph Essentials for Finance

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

Financial Data Standards and Ontologies

• Overview of ISO 20022, FpML, and FIX protocols.
• Techniques for mapping schemas and ontologies to graph state.
• Managing data quality, lineage, and PII handling.

Workflow Orchestration in Financial Operations

• Designing KYC and AML onboarding workflows.
• Managing trade lifecycles, exception handling, and case management.
• Structuring credit adjudication and decisioning paths.

Compliance, Risk Management, and Controls

• Enforcing policies and managing model risk.
• Implementing guardrails, approval processes, and human-in-the-loop steps.
• Maintaining audit trails, data retention, and explainability.

Integration and Deployment Strategies

• Establishing connections to core systems, data lakes, and APIs.
• Handling containerization, secrets management, and environment configuration.
• Setting up CI/CD pipelines, staged rollouts, and canary releases.

Observability and Performance Optimization

• Utilizing structured logs, metrics, traces, and cost monitoring.
• Conducting load testing, defining SLOs, and managing error budgets.
• Developing incident response, rollback, and resilience strategies.

Quality Assurance, Evaluation, and Safety

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

Conclusion and Future Directions