LangGraph Applications in Finance Training Course

LangGraph Essentials for Finance

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

Financial Data Standards and Ontologies

• Foundations of ISO 20022, FpML, and FIX.
• Mapping schemas and ontologies to graph state.
• Managing data quality, lineage, and PII.

Orchestrating Workflows for Financial Operations

• Onboarding workflows for KYC and AML.
• Trade lifecycle management, exceptions, and case handling.
• Paths for credit adjudication and decision-making.

Compliance, Risk, and Control Mechanisms

• Enforcement of policies and management of model risk.
• Implementation of guardrails, approval workflows, and human-in-the-loop steps.
• Maintaining audit trails, data retention, and explainability.

Integration and Deployment Strategies

• Connection to core systems, data lakes, and APIs.
• Managing containerization, secrets, and environments.
• Utilizing CI/CD pipelines, staged rollouts, and canary deployments.

Observability and Performance Optimization

• Monitoring structured logs, metrics, traces, and costs.
• Conducting load testing, defining SLOs, and managing error budgets.
• Executing incident response, rollbacks, and resilience patterns.

Quality Assurance, Evaluation, and Safety

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

Conclusion and Future Directions