LangGraph Applications in Finance Training Course

LangGraph Fundamentals for Financial Applications

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

Financial Data Standards and Ontologies

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

Orchestrating Workflows for Financial Processes

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

Compliance, Risk Management, and Controls

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

Integration and Deployment Strategies

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

Observability and Performance Optimization

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

Quality Assurance, Evaluation, and Safety

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

Course Summary and Recommended Next Steps