LangGraph Applications in Finance Training Course

Core LangGraph Concepts for Finance

• Overview of LangGraph architecture and stateful execution.
• Financial use cases: research assistants, trade support, and customer service agents.
• Regulatory constraints and considerations for auditability.

Financial Data Standards and Ontologies

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

Orchestrating Workflows for Financial Operations

• Onboarding processes for KYC and AML.
• Trade lifecycle management, exception handling, and case administration.
• Credit assessment and decisioning pathways.

Compliance, Risk, and Controls

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

Integration and Deployment

• Linking with core systems, data lakes, and APIs.
• Managing containerization, secrets, and environments.
• Setting up CI/CD pipelines, staged rollouts, and canary releases.

Observability and Performance

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

Quality, Evaluation, and Safety

• Utilizing unit tests, scenario testing, and automated evaluation frameworks.
• Performing red teaming, adversarial prompting, and safety checks.
• Curating datasets, monitoring drift, and driving continuous improvement.

Conclusion and Future Steps