Kursplan
LangGraph Fundamentals for Finance
- Refresher on LangGraph architecture and stateful execution.
- Finance use cases: research copilots, trade support, customer service agents.
- Regulatory constraints and auditability considerations.
Financial Data Standards and Ontologies
- ISO 20022, FpML, and FIX basics.
- Mapping schemas and ontologies into graph state.
- Data quality, lineage, and PII handling.
Workflow Orchestration for Financial Processes
- KYC and AML onboarding workflows.
- Trade lifecycle, exceptions, and case management.
- Credit adjudication and decisioning paths.
Compliance, Risk, and Controls
- Policy enforcement and model risk management.
- Guardrails, approvals, and human-in-the-loop steps.
- Audit trails, retention, and explainability.
Integration and Deployment
- Connecting to core systems, data lakes, and APIs.
- Containerization, secrets, and environment management.
- CI/CD pipelines, staged rollouts, and canaries.
Observability and Performance
- Structured logs, metrics, traces, and cost monitoring.
- Load testing, SLOs, and error budgets.
- Incident response, rollback, and resilience patterns.
Quality, Evaluation, and Safety
- Unit, scenario, and automated eval harnesses.
- Red teaming, adversarial prompts, and safety checks.
- Dataset curation, drift monitoring, and continuous improvement.
Summary and Next Steps
Krav
- An understanding of Python and LLM application development
- Experience with APIs, containers, or cloud services
- Basic familiarity with financial domains or data models
Audience
- Domain technologists
- Solution architects
- Consultants building LLM agents in regulated industries
Testimonials (1)
Jeg verdsette at treneren presenterte alt på en svært god måte. Jeg forsto alt, selv om Finance ikke er mitt fagfelt, sørget han for at alle deltakerne var på samme side, samtidig som han fulgte tidsrammen. Øvelsene var plassert i gode intervaller. Communication med deltakerne var alltid der. Materialet var perfekt, ikke for mye og ikke for lite. Han forklarte veldig godt litt mer kompliserte emner slik at alle kunne forstå det.
Diana
Kurs - ChatGPT for Finance
Machine Translated