К содержимому
learnspaceYOUR NEXT CHAPTER
ПРОСТРАНСТВО ОБУЧЕНИЯ
ГлавнаяКаталог курсовМоё обучениеCoursera

Знания без границ

Учитесь у лучших университетов и компаний мира.

Открыть Coursera
Интеграция
Пространство университета
Моё пространствоСтраница курса
↵
ЯЛичный кабинетСтудент
© 2026 LearnSpaceКаждый день — возможность узнать больше.Помощь
AI for FP&A Automation & Modeling · LearnSpace
Назад в каталог
courseraБизнес

AI for FP&A Automation & Modeling

Курс от IBM
Начальный≈ 3.1 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

By the end of this course, you will write structured AI prompts that clean and standardize messy financial data, use AI to draft and extend model logic, apply AI to anomaly detection and reconciliation, and build the governance habits — guardrails, output logging, and audit evidence — that make AI-assisted finance defensible. This is where AI stops being a buzzword and becomes practical leverage. You will reclaim the hours lost to manual data prep and model-building, while keeping human judgment and control firmly in place — the balance finance leaders, auditors, and regulators now expect. What sets this course apart is that governance is built in from the start, not bolted on at the end. Under one clear principle — AI surfaces, the analyst owns — you learn to tier AI uses by risk, verify every output, and document how AI was used. The skills are taught tool-agnostically and demonstrated on AI tools, so they transfer as the tools evolve. No coding background required.

Навыки, которые вы освоите

ReconciliationResponsible AIAnomaly DetectionGenerative AIPrompt EngineeringFinancial ModelingAuditingFinancial ControlsFinancial AnalysisFinancial DataCyber GovernanceRiskingAudit PlanningFinancial ForecastingGeneral LedgerFinancial AuditingFinancePrompt Engineering ToolsData MappingFinancial Planning

Программа курса

4 модулей · 34 учебных материалов

01Data Prep Automation10 материалов
Turn Messy Data into Numbers You Can Trust ВидеоBuried in Manual Data CleanupВидеоExtracts, Reconciliation, SchemaВидеоTerms You Should Know: Data Prep AutomationЧтение

Учитесь у экспертов

LearnQuest Network

Преподаватель курса

AI for FP&A Automation & Modeling
В каталоге вашей программы

Инвестируйте в себя

Новые знания — в удобное для вас время.

Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 3.1 ч

4 модулей

Язык: Английский

Часть программы вашего университета
What Makes Data Analysis-ReadyВидео
Tutorial: Fixing Messy DataВидео
Your Turn: Vendor Name StandardizationЧтение
Profile, Clean, Validate: One Skill, Many Situations Видео
Profile, Prompt, Prove DIALOGUE
Data Prep AutomationЗадание
02AI-Assisted Model Building8 материалов
Drafting Faster with AI, Owning Every NumberВидеоWhen the Model Can't Flex and Can't Be TrustedВидеоFlex, Traceability, TemplatesВидеоWhat Makes an AI-Assisted Model ReliableВидеоTerms You Should Know: AI-Assisted Model BuildingЧтениеBuild It Clean, Then Verify Every NumberВидеоDraft It, Then Defend ItDIALOGUEAI-Assisted Model BuildingЗадание
03Model Validation with AI8 материалов
Turn AI Output into Numbers You Can Defend ВидеоWhen the Numbers Won't Tie and No One Can Say Why ВидеоSurprises, Matching, Evidence, Defensibility ВидеоTerms You Should Know ЧтениеHow AI-Assisted Validation Works ВидеоThe Same Validation Loop in Disguise ВидеоWalk the Validation Loop DIALOGUEModel Validation with AIЗадание
04Responsible AI Practices8 материалов
Govern AI to Keep Every Number Defensible ВидеоAI in the Numbers, and No One Can Defend ItВидеоRework, Inventory, LineageВидеоTerms You Should Know: Responsible AI PracticesЧтениеWhat Makes AI-Assisted Finance DefensibleВидеоThe Same Governance Pass, in Places That Look Nothing Alike ВидеоRun the Governance Pass DIALOGUEResponsible AI PracticesЗадание