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For Individuals
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  • AI for Finance Specialization
  • 9 total courses (7 required)
  • Self-Paced & 100% Online
  • Get this program and CFI's full training catalog for your organization
  • Manage learning, create custom paths & measure progress
  • For teams of 2 or more learners

AI for Finance Specialization Overview

CFI's AI for Finance Specialization equips you with practical, industry-relevant skills to integrate AI into modern finance workflows. Designed for today’s financial professionals, this program focuses on leveraging AI-driven tools to analyze data, streamline processes, and elevate decision-making.

Through hands-on learning, you’ll explore AI applications in financial statement analysis, scenario planning, risk assessment, and data-driven dashboard creation. By the end of the program, you’ll be ready to thrive in finance, banking, and corporate strategy roles that demand innovation and technical expertise.

What's in the AI for Finance Specialization?

9 courses

Consisting of 287 lessons

10+ interactive exercises

Learn by doing with guided simulations

Blockchain certificate

To verify your skills

500,000+ 5-star ratings

Best-in-class training, as rated by you

Earning Your Certificate in AI for Finance

Step 1.

Core Courses

Complete 7 required core courses to build your skill set in AI for Finance.

Introduction to AI in Finance
4.7 (10 Ratings)
1h 35min
1h 35min
Foundations of Machine Learning and Deep Learning for Finance
5 (1 Ratings)
1h 41min
1h 41min
Advanced Prompting for Financial Statement Analysis
5 (3 Ratings)
1h 34min
1h 34min
AI-Enhanced Financial Analysis
4.9 (20 Ratings)
1h 37min
1h 37min
AI-Powered Scenario Analysis
5 (8 Ratings)
2h 11min
2h 11min
AI for Excel Formulas
4.8 (102 Ratings)
53min
53min
Leveraging Generative AI for Risk Assessment
5 (3 Ratings)
2h 13min
2h 13min
Hide All Core Courses
Step 2.

Case Study Challenges

Optional

These case study challenges allow you to apply your knowledge and skills by solving real-world problems.

ChatGPT for Data Analysis in Excel - Case Study
4.9 (21 Ratings)
24min
24min
Generative AI Tools in Finance - ChatGPT
5 (3 Ratings)
37min
37min
See All Case Study Challenges
Step 3.

Get AI for Finance Certified

Congratulations! Upon completion of the program, you will receive a blockchain digital certificate with your new credentials.

Skills & Learning Objectives in AI for Finance

1
45%
Applied AI Skills
2
40%
AI-Driven Financial Analysis
3
15%
Excel Automation
1
2
3
  1. 1.
    45%
    Applied AI Skills
  2. 2.
    40%
    AI-Driven Financial Analysis
  3. 3.
    15%
    Excel Automation

AI-driven Financial Analysis

  • Master the use of AI for comprehensive financial analysis, including ratio analysis, vertical/horizontal analysis, and scenario planning.
  • Explore AI’s transformative role in finance, focusing on risk assessment and delivering actionable insights.
  • Learn best practices for AI-driven analysis and address challenges to maintain accuracy and adapt to evolving tools.

Excel Automation

  • Leverage AI tools in Excel to uncover domain-specific insights and access relevant formula guidance.
  • Use AI tools to improve chart analysis, data visualization, and support for a range of Excel features.
  • Streamline tasks in Excel, troubleshoot formulas, and evaluate the effectiveness of AI tools in improving productivity.

Applied AI skills

  • Develop hands-on skills for using ChatGPT and custom GPT instances for data preparation, analysis, and scenario modeling.
  • Master chain-of-thought prompting to streamline financial statement analysis, forecast earnings, and uncover actionable insights.
  • Keep pace with AI innovations by integrating new tools and techniques to optimize financial workflows and deliver impactful results.

Meet Your Instructors

Glenn Hopper

Glenn Hopper

Glenn is a technology-minded CFO with more than two decades of experience in finance and accounting leadership. He is a consultant and author who writes about the intersection of artificial intelligence and corporate finance. His book, Deep Finance: Corporate Finance in the Information Age, provides a digital transformation roadmap for businesses to follow to become data-driven organizations. His expertise spans financial leadership and strategy, finance automation, data science, and operational efficiency. Glenn has a master's in finance from Harvard University with a graduate certificate in business analytics, and an MBA from Regis University.
Sebastian Taylor

Sebastian Taylor

Seb started his career in risk management, managing the implementation and operations of quantitative energy hedging strategies. Having since worked in several different industries, from finance to retail and service, Seb’s business intelligence skills were developed within the realities of real-world business requirements.

Careers in AI for Finance

  • Financial Analysts

    Financial Analysts

    Financial analysts evaluate financial and market data to guide business and investment decisions for corporations, financial institutions, and individuals. By leveraging AI and data analytics, financial analysts can enhance their predictive capabilities, delivering insights that are more accurate, timely, and strategic
  • Financial Planning & Analysis (FP&A) Analysts

    Financial Planning & Analysis (FP&A) Analysts

    Financial Planning and Analysis (FP&A) professionals help guide company strategy that support major corporate decisions of the CFO, CEO, and the Board of Directors. AI skills are increasingly relevant for FP&A professionals because they enable more efficient and insightful analysis, positioning FP&A teams to add greater strategic value.
  • Business Intelligence Analysts

    Business Intelligence Analysts

    Business Intelligence Analysts use financial data and analysis techniques to evaluate business performance and processes, identify opportunities for improvements, and make strategic recommendations. AI skills enhance business analyst's ability to make, create and automate data-driven recommendations.
  • Investment Banking

    Investment Banking

    Investment bankers help companies facilitiate financial transactions such as mergers, acquisitions, and capital raises. AI tools allow investment banking analysts to provide faster, more robust analysis and risk assessments, improving the quality and impact of their recommendations.
  • Equity Research

    Equity Research

    Incorporating AI knowledge enables equity research analysts to conduct more comprehensive, efficient, and data-driven research. These capabilities improve the accuracy of their stock recommendations and the timeliness and relevance of their insights, ultimately delivering greater value to clients.

The AI for Finance Specialization has upskilled teams at:

What Our Students Say

This course was very detailed and structured. I would definitely recommend this Certification for any budding Financial Analyst.

Anirudh Ganeshan

I believe the program fully performs what it promises, bridging the gap between work and higher education. For me it means an added value that I cannot describe in words. The program focuses on technical knowledge, which is highly valued since, on average, a student only learns theory before starting work.

Benjamin Briner

Strongly recommend to everyone who wants to receive new careers opportunities and enhance their knowledge in finance. CFI FMVA is perfect opportunity for everyone to obtain neccessary and strong background in financial modeling and valuation of companies. CFI helped me a lot with providing a financial aid and now my profile as a finance specialist is much more attractive and I receive additional confidence in my valuation skills. Thanks to everybody in the CFI team for creating such brilliant courses.

Alexandr Palienko

The resources are very educational and will go a long way not only for me but also for our colleagues in the energy regulatory agency. I appreciate very much the CFI material!

Arthur Evangelista, Chairman, Grid Management Committee Inc.

Frequently Asked Questions

If you haven’t found your answer from our FAQ, please send us a message.

What is the AI for Finance Specialization and who is it designed for?
The AI for Finance Specialization is designed for finance professionals who want to understand and apply artificial intelligence in real-world financial decision-making. It’s a strong fit for analysts, students, and professionals in roles like risk, portfolio management, or strategy who want to bring automation, predictive analytics, and AI tools into their work.
What are the admission requirements for the AI for Finance Specialization?
There are no formal prerequisites for the AI for Finance Specialization. You only need a computer, a reliable internet connection, and Microsoft Excel 2016 or newer. No coding background is required—the courses guide you through AI concepts in a practical, finance-first way.
How long does it take to complete the AI for Finance Specialization, and how flexible is it?
Most learners finish in about 30 to 35 hours, but you’re free to set your own pace based on your schedule. You can start anytime, pause when needed, and return to lessons as often as you like during your CFI subscription. This flexibility makes it easy to balance learning with work or studies.
Is the AI for Finance Specialization recognized worldwide by employers?
Yes. Employers value CFI’s credentials because they demonstrate not just knowledge, but hands-on ability to apply AI in financial contexts. After completing all required courses and assessments, you’ll earn a blockchain-verified digital certificate that is easy to share on your resume and LinkedIn.
What career opportunities can the AI for Finance Specialization help me pursue?
This specialization opens doors to roles where finance and technology meet, such as financial analyst, fintech professional, AI-enabled strategist, or data-focused business partner. It also strengthens career paths in areas like FP&A, portfolio management, and risk where predictive modeling and automation are in high demand.
How does CFI ensure the AI for Finance training is practical and job-ready?
The program is built on real finance case studies and datasets, so you practice applying AI methods directly to problems you’d encounter at work. Every exercise is designed to translate into skills you can use immediately on the job, such as forecasting with machine learning and analyzing financial statements with GenAI tools.
How are AI for Finance Specialization exams conducted, and how do I earn my certificate?
Most courses include an online exam with multiple-choice, fill-in-the-blank, and applied exercises with financial data. You must pass each required course to earn your certificate, and you can retake assessments until you’re confident. Once complete, your digital certificate is issued instantly and stored securely on the blockchain.
Are CFI courses accredited?
Yes. CFI is accredited by the Better Business Bureau and recognized by CPA institutions in Canada and NASBA in the United States for continuing professional education credits. Accreditation ensures your learning not only builds career skills but can also count toward professional development requirements. You can find more information here.
How much does the AI for Finance Specialization cost, and what’s included with my subscription?
The specialization is included in your annual CFI annual all-access subscription, with no extra fees. Your CFI membership gives you unlimited access to all courses, updates, downloadable templates, and digital certificates, along with community features and career resources to help you apply what you learn during your CFI subscription.
What kind of learner support and career resources does CFI provide during the AI for Finance program?
CFI provides tailored resources to help you succeed with both AI concepts and career application. You’ll have access to responsive technical support, study tools that break down complex topics, and a global learner community to exchange ideas with peers. Full Immersion members can also access personalized one-on-one feedback and instant help with AI Tutor, for added support.

If you haven’t found your answer from our FAQ, please send us a message.

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