LangGraph Applications in Finance Training Course

LangGraph Fundamentals in Finance

• Review of LangGraph architecture and stateful execution principles.
• Financial use cases: research copilots, trade assistance, and customer service agents.
• Considerations regarding regulatory constraints and auditability.

Financial Data Standards and Ontologies

• Overview of ISO 20022, FpML, and FIX standards.
• Integrating schemas and ontologies into the graph state.
• Managing data quality, lineage, and PII.

Workflow Orchestration for Financial Operations

• KYC and AML onboarding processes.
• Trade lifecycle management, exception handling, and case resolution.
• Credit adjudication and decisioning pathways.

Compliance, Risk Management, and Controls

• Policy enforcement and model risk management strategies.
• Implementing guardrails, approval workflows, and human-in-the-loop interactions.
• Maintaining audit trails, data retention, and explainability.

Integration and Deployment Strategies

• Connecting with core banking systems, data lakes, and APIs.
• Managing containerization, secrets, and environments.
• Establishing 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.
• Handling incident response, rollbacks, and resilience patterns.

Quality Assurance, Evaluation, and Safety

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

Summary and Future Directions