AI is already part of the tools finance professionals use every day. The challenge is using AI effectively and responsibly. CFI’s AI Finance Professional (AIFP) Certification gives you hands-on experience applying AI in financial analysis, verifying AI outputs, and protecting ...
AI is already part of the tools finance professionals use every day. The challenge is using AI effectively and responsibly. CFI’s AI Finance Professional (AIFP) Certification gives you hands-on experience applying AI in financial analysis, verifying AI outputs, and protecting sensitive data. You’ll build practical skills you can use today and as AI evolves.
Each course equips you with capabilities from CFI's AI Skills Taxonomy, which defines the capabilities that finance professionals need to demonstrate at each level:
- Foundational AI fluency
- Intermediate hands-on application
- Professional judgment and accountability
By the end of the program, you'll have the ability to run an end-to-end AI-assisted workflow, critically evaluate AI outputs, and deliver credible insights that leaders can act on.
AI fluency means more than knowing how to use AI tools. It means you understand, question, and collaborate responsibly with AI systems to drive strategic investment and business decisions.
Explore AI tools for finance, such as popular LLMs, Excel copilots, document intelligence, and agentic AI.
Determine where AI fits in a typical financial analysis workflow: review data, make a decision, and identify when AI adds value at each step.
Use structured prompting techniques to turn finance questions into one-step and multi-step prompts that create defensible analyses.
AI can automate time-consuming tasks, reduce manual errors, and analyze large datasets. Whether you’re building a forecast or a three-statement model, the AI tools you use still need to understand assumptions, logic, and outputs.
Pressure-test the logic and arithmetic of AI-built models, cross-checking outputs against source data to catch hallucinations, math errors, and stale inputs.
Audit formula logic in AI-assisted financial models for sign flips, circular references, and broken links before the model reaches stakeholders.
Build verification checklists that trace data lineage and produce an audit trail ready for review by the CFO or regulators.
AI changes how FP&A analysts spend their time. By supporting data consolidation, forecasting, and scenario analysis, AI can reduce manual effort and free up time to investigate anomalies and advise business partners.
Identify unexpected variances using multi-step AI agents while keeping a human reviewer in the loop.
Perform AI-assisted forecasting, generate multiple stress-test scenarios, and isolate the hidden financial drivers of changes in performance.
Draft management reports, board papers, and executive summaries with generative AI, then refine them to a professional standard.
Finance professionals depend on AI tools to investigate financial data, identify trends, and support analysis. Producing sound analyses requires a disciplined workflow that uses AI as an assistant rather than a substitute for financial reasoning.
Structure and clean financial data for accurate AI analysis by anonymizing sensitive fields and splitting large datasets into manageable sections.
Work with unstructured data such as PDF filings and management reports to extract figures, clauses, and terms.
Verify data extracted by AI against the source material before reusing it in analysis or reporting.
Financial analysis creates value when stakeholders can understand what the numbers mean. AI can help you turn financial data into visualizations tailored to different audiences, making key trends and insights easier to communicate and act on.
Set up visual dashboards that let executives use natural language queries to build charts and interact with financial data.
Reformat a single analysis for different audiences, including boards, CFOs, and operational stakeholders.
Design dashboard layouts and charts to make it easy for non-technical stakeholders to understand financial drivers.
Finance professionals work with data and analyses that influence business decisions. Responsible AI use and data handling help you ensure compliance, avoid bias, and protect sensitive data with a repeatable approach to managing these risks.
Classify financial data sensitivity and apply a firm’s AI policy to safeguard client and other sensitive data that should be kept confidential.
Apply governance and disclosure standards, including when and how to disclose AI use to stakeholders, auditors, and regulators.
Design human-in-the-loop workflows that map decision rights, escalation triggers, and review checkpoints.
A combined 100+ years of industry experience to help you unlock your potential.
CFI is the #1 ranked finance training provider in perceived quality (In a national provider ranking, CFI placed ahead of CFA, CFP, ACCA, and others). In its Program Recognition efforts, CFI aims to create value for its certification holders, spread awareness of the AI Finance Professional program, and increase global recognition of our designations.
Over 75% of CFI learners report significant career advancement within months of program completion
Ask an Expert: Personalized 1-on-1 Guidance
5 finance questions per week, answered by experts
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Expert-level guidance built into every course
Personalized Financial Model Review and Feedback
Personalized feedback on your CFI course models
Premium Job Ready Templates and Guides
Essential models, templates, and guides
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