AI for Business & Finance Certificate Program
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View the full program syllabus as well as details on faculty, guest speakers and key learner benefits.
Program overview
Learn AI Skills That Will Transform Your Career
At the conclusion of the 8-week program, you'll earn a certificate from Columbia Business School Executive Education and access to lifelong career resources.
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Build Hands-On AI Skills that You Can Apply in Your Role Right Away
Develop an understanding of how machine learning, predictive analytics, and generative AI actually work, and learn how to apply these technologies to solve real-world problems in business and finance.
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Learn from Columbia Business School’s Top AI Faculty and Finance Practitioners
You’ll learn directly from globally recognized faculty as well as business and finance leaders who are guiding their organizations through the AI transformation.
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No Coding or Tech Background Required
This program is designed for professionals from all backgrounds and we’ll ramp up to AI proficiency step by step. No coding, Excel, data analysis and statistics knowledge is required - everything you need for the program is provided.
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Earn a Globally Recognized Certificate
At the conclusion of the 8-week program, you’ll earn a certificate from Columbia Business School Executive Education and gain lifelong access to career resources.
Who Applies to the Program?
The AI for Business & Finance Certificate Program is designed for early- to mid-career professionals of all backgrounds. It’s perfect for anyone who is looking to become an AI leader within their role, and the program’s exercises, case studies, and guest speakers make it especially relevant for the following finance and business roles:
Business Analysts & Financial Analysts
- FP&A Analyst
- Business Analyst
- Operations Analyst
- Marketing Analyst
- Product Manager
Investment Analysts & Portfolio Managers
- IB Analyst/Associate
- Private Equity Analyst
- Wealth Manager/Investment Advisor
- Quantitative Analyst
- Hedge Fund Analyst
- Credit & Equity Research Analyst
Data Analysts & Data Scientists
- Data Analyst
- Data Scientist
- Business Intelligence Analyst
- Data Engineer
- Machine Learning Engineer
Risk, Compliance & Treasury Professionals
- Compliance Analyst
- Risk Analyst
- Treasury Analyst
- Anti-Money Laundering (AML)
- Credit Risk Analyst
- Fraud Detection Specialist
Tech Professionals in Finance
- Software Engineer (Finance)
- Machine Learning Engineer (Finance)
- Full Stack Developer
- NLP Engineer
- Blockchain Developer
Students and Career Switchers
How you'll learn
The AI for Business & Finance Certificate Program is an immersive learning experience, made up of self-paced video-based lectures, real-world exercises, industry case studies, and full faculty support.
8-Week Program Focusing
on AI for Business & Finance
Develop AI skills you can apply right away to enhance productivity and business impact.
8-10 Hour Weekly
Time Commitment
A comprehensive certificate program designed to fit into your busy schedule.
Self-paced Online
Learning Experience
Complete the program on our online learning platform at your own pace.
The Same Training Used by
Top Financial Institutions
Access the same lessons and methods taught inside the world’s leading Financial Institutions.
Learn Directly From
AI Experts
Gain insights from the word-class Columbia Business School faculty and industry leaders shaping the future of AI.
Tailored Learning Experience
Through Program Electives
Customize your experience based on your specific learning objectives.
Learn by Doing with Industry-Relevant Case Studies
Learn first-hand with practical industry-relevant case studies such as predicting future asset returns to churn analysis using generative AI.
Weekly Office Hours
& Dedicated Support
Program faculty and support staff is available every step of the way.
AI Certification Issued from Columbia Business School
Upon successful completion of the program, you will receive a Certificate of Participation from Columbia Business School Executive Education.
Earn a Certificate from Columbia Business School Executive Education
Upon successful completion of the program, your Columbia Business School Executive Education issued certificate of participation will be emailed to you in a digital format you can use to demonstrate your achievement on your Linkedin profile and resume.
Attend a Program Information Session
Get our schedule of upcoming live virtual info sessions:
Attend an information session
Program Curriculum
Module 1
AI Foundations for Business & Finance
Understand AI fundamentals, key tools, and applications in finance.
- Overview of AI, machine learning, and generative AI
- How businesses leverage AI tools (chatbots, APIs, automation)
- Key trends and opportunities in AI-driven finance
- Preview of case studies and applications
Module 2
Foundational Skills & Frameworks
Learn Python to analyze financial data, automate workflows, and integrate AI.
- Python fundamentals for finance and business (no prior coding required)
- Data analysis with Pandas, Matplotlib, and Excel integration
- AI automation with APIs and business workflow enhancements
- Elective: Build AI-powered applications
Module 3
Predictive Analytics & Strategic Insights
Use linear models like regression to extract insights and make financial predictions.
- Linear & logistic regression, overfitting, and model validation
- Hedge fund strategies: Predicting stock returns & backtesting trading models
- Workforce analytics and dynamic pricing strategies
Module 4
Advanced Predictive Analytics
Use decision trees and random forests for complex financial predictions.
- Decision trees, random forests, and real-world applications
- Predicting loan defaults and early mortgage repayments
- AI-powered financial modeling
Module 5
Simulations & Optimization
Apply simulation and optimization techniques to financial decision-making.
- Portfolio optimization, energy investment, workforce planning
- Understanding randomness in financial decisions
- Using simulation to quantify risk and optimization for large-scale decisions
Module 6
Generative AI
Explore LLMs, embeddings, and transformers, and develop AI-powered tools.
- Fundamentals of LLMs, pre-training, and fine-tuning
- AI-powered brainstorming, automation, and cost considerations
- Investigate biases, reliability, and limitations in AI models
- Build AI-driven fraud detection, chatbots, and classification systems
- Automate financial processes and unstructured data analysis
Module 7
Advanced AI Applications & Integration
Use cutting-edge AI techniques like retrieval-augmented generation.
- Predicting customer churn with AI-assisted entity resolution
- Automating financial data extraction for investment research
- Advanced OpenAI API techniques for structured outputs and automation
Module 8
AI Tools for Business & Finance
Explore the latest AI tools in finance and their real-world applications.
- Investment research, market intelligence, and sentiment analysis
- LLMs, chatbots, and productivity tools like Microsoft Copilot
- Advanced data analysis and business analytics solutions
Faculty & Speakers
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Daniel
Guetta![Company logo]()
Program Director, AI for Business & Finance Certificate Program, Columbia Business School Executive Education & Wall Street PrepView Bio -
Malek
Ben Sliman![Company logo]()
Adjunct Associate Professor Business Marketing Division, Columbia Business SchoolView Bio -
Ciamac
Moallemi![Company logo]()
William von Mueffling Professor of Business Decision, Risk, and Operations Division, Columbia Business SchoolView Bio -
Olivier
Toubia![Company logo]()
Glaubinger Professor Business Marketing Division, Columbia Business SchoolView Bio -
Stijn Van
Nieuwerburgh![Company logo]()
Earle W. Kazis and Benjamin Schore Professor of Real Estate Finance Division, Columbia Business SchoolView Bio
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Tarun Amasa
![Company logo]()
Co-Founder & CEO, Endex.aiView Bio -
Brooker Belcourt
![Company logo]()
GM of Finance Vertical, PerplexityView Bio -
Ed Brandman
![Company logo]()
Founder & CEO, DiligentIQView Bio -
Murli Buluswar
![Company logo]()
Head, U.S. Personal Banking Analytics, CitibankView Bio -
John Chan
![Company logo]()
Director of Technology (AI/ML), Raymond JamesView Bio -
Lilia Christofi
![Company logo]()
EMEA Data and AI Financial Services Partner, PWCView Bio -
Paul Dongha
![Company logo]()
Head of Responsible AI & AI Strategy, NatWest GroupView Bio -
Eric Glyman
![Company logo]()
CEO, RampView Bio -
Ashwin Kamath
![Company logo]()
Partner & Head of Signals Engineering, Acquatic Capital ManagementView Bio -
Zack Kass
![Company logo]()
Futurist, Head of Go-To-Market (Former), OpenAIView Bio -
Andy McMahon
![Company logo]()
Principal AI & MLOps Engineer, BarclaysView Bio -
Alexandra Mousavizadeh
![Company logo]()
Co-Founder & CEO, Evident InsightsView Bio -
Hongseok Namkoong
![Company logo]()
Assistant Professor in the Decision, Risk, and Operations Division, Columbia Business SchoolView Bio -
Marily Nika
![Company logo]()
Gen AI Product Lead - Voice Intelligence, GoogleView Bio -
David Pereira
![Company logo]()
Chief AI Officer, NTT DATA Europe & Latin AmericaView Bio -
Brandon Procak
![Company logo]()
Senior Manager, Frontier Tech, Boston Consulting GroupView Bio -
Ghada Richani
![Company logo]()
Managing Director, Data & Technology Strategy & Project Management Office, Bank of AmericaView Bio -
Ken Sena
![Company logo]()
Co-Founder & CEO, AieraView Bio -
Richa Singh
![Company logo]()
Head of AI, Lexington PartnersView Bio -
George Sivulka
![Company logo]()
Founder & CEO, HebbiaView Bio -
Malek
Ben Sliman![Company logo]()
Adjunct Associate Professor Business Marketing Division, Columbia Business SchoolView Bio -
Priya Srinivasan
![Company logo]()
General Manager, IBMView Bio -
Gabriel Stengel
![Company logo]()
Co-Founder & CEO, RogoView Bio -
Aditi Subbarao
![Company logo]()
Global Financial Services Lead, InstabaseView Bio -
Iro Tasitsiomi
![Company logo]()
Head of AI, T. Rowe PriceView Bio -
Andy Uttley
![Company logo]()
Head of Business Data, Analytics & Tools, Capital GroupView Bio -
Thomas Vladeck
![Company logo]()
Co-Founder & Co-CEO, Recast LabsView Bio -
David H. Wu
![Company logo]()
Head of Firmwide AI Product & Architecture Strategy, Morgan StanleyView Bio -
Yu Yu
![Company logo]()
Director of Data Science, BlackRockView Bio
Tuition & Payment Options
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Networking Events & Program Benefits
Successfully completing the AI for Business & Finance Certificate Program unlocks access to exclusive events including in person networking events and meet ups, roundtables with the world's top recruiters, and fireside chats with the world's leading practitioners.
Peer-to-Peer Networking
Enrollees access a large and highly engaged global network of peers who are committed to give as much as they get and to support one another. Connections built throughout the program are strengthened via in person, and virtual meetups, discussions groups and networking events.
Invitation-Only AI for Business & Finance Group on LinkedIn
Upon successful completion of the program, participants receive an invitation to join the AI for Business & Finance Certificate Program Group on LinkedIn. Through this group, participants can directly connect with the entire graduate network, seek advice, and access graduate-only online events and resources.
Stay Connected and Grow Your AI Program Community
Learners gain access to a local Wall Street Prep AI for Business & Finance Certificate Program Slack Channel, designed to facilitate local connection for a global certificate. Stay up to date on all the innovative ways our community is implementing AI into their roles.
For Employers: Empower Your Team to Lead with AI
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Future-Proof Your Workforce
Stay at the forefront of the AI transformation by equipping your entire team with a practical AI skillset.
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ROI-Driven Upskilling
Self-paced learning ensures your team can up-skill without disrupting workflows or daily responsibilities
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Customizable Timeline & Scale
This program can be deployed at scale with custom timelines on our proprietary learning platform.
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For Professionals From All Backgrounds
Rigorous training that builds Al skills step-by-step with no coding or tech background required.
Speak With Us About
Enrolling Your Team
How many team members are you looking to train?
FAQs
How often are programs offered?
Three cohorts run each year, starting in February, June, and October. Seats fill on a first-come basis. Reserve your seat before the early enrollment deadline to take $200 off tuition.
How much time will it take to complete this certificate?
Eight weeks at 8-10 hours per week, designed around a full-time job. The self-paced format lets you work on your own schedule, with weekly live office hours for direct support. The program follows a fixed cohort calendar; the final assessment and certificate are issued at the end of the eight-week window.
How do I register for this program?
Enrollment is open for the upcoming cohort. Secure your seat through the enrollment form. If you have questions before committing, book a 15-minute call with an enrollment advisor.
How much does the program cost?
Tuition is $5,000, payable in full or in five $1,000 installments. Take $200 off by enrolling before the early enrollment deadline. If you're unable to complete the program for any reason, you're automatically re-enrolled one time in the immediately following cohort at no additional cost, so your investment is protected. Tuition assistance and employer reimbursement options are covered below.
Will my employer pay for the program?
Many participants expense the program as professional development. We can provide a template reimbursement letter, request an invoice routed to your employer, or share a direct payment link for your finance team. See our employer reimbursement guide for help positioning the request internally.
Do you offer tuition assistance?
Yes. $550 in tuition assistance is available for every cohort with no income or background requirements. Apply before enrolling. See the employer reimbursement FAQ above for additional options.
What is the program refund policy?
Enrollment is non-refundable. If you can't complete the program for any reason, you're automatically re-enrolled one time in the immediately following cohort at no additional cost.
Is this program right for me if I don't have a finance background?
The program is built for finance professionals deepening their expertise and for non-finance professionals whose roles require fluency in the subject matter. The curriculum starts with foundational concepts before building into advanced material. An enrollment advisor can assess fit on a 15-minute call.
What do I actually get when I complete the program?
A digital certificate from Wharton Online for LinkedIn and your resume, plus CPE credits registered with NASBA. You also join a network of 5,000+ graduates across finance, consulting, and professional services, with access to a program-specific alumni LinkedIn group, local Slack channels by geography, and in-person recruiting and industry events.
Who can I contact for additional questions?
Email our enrollment team at enrollment@columbia.wallstreetprep.com or book a 15-minute call with an enrollment advisor who can walk through curriculum, fit, financing, and employer reimbursement.
Are there any AI tool costs I'll need to pay during the program?
Program tuition covers all AI usage fees required to complete the core program. Optional sections may require a premium subscription to specific AI tools (typically around $20/month) which you'd need to purchase yourself; AI labs don't allow bulk subscriptions. You'll also need to be in a country supported by the relevant AI lab. If you can't or don't want to subscribe, skip these short sections or watch the videos without the hands-on work. The rest of the program isn't affected.