AI Training for Teams

Looking for Individual Enrollment?
Led by World-Class Faculty and AI Industry Leaders From ...
Yu Yu
Director of Data Science, BlackRock
John Chan
Director of Technology (AI/ML), Raymond James
Ghada Richani
Data & Technology Strategy & Project Management Office, Bank of America
Zack Kass
Futurist, Head of Go-To-Market (Former), OpenAI
Eric Glyman
Co-Founder & CEO
Ashwin Kamath
Head of Signals Engineering, Aquatic Capital Management
Rob McCargow
Technology Impact Leader, PwC United Kingdom
Brooker Belcourt
GM of Finance Vertical, Perplexity
Iro Tasitsiomi
Head of AI, Investments Data Science & Research, T. Rowe Price
Andy Uttley
Head of Business Data, Analytics & Tools, Capital Group
David H. Wu
AI Head of Product & Architecture Strategy, Morgan Stanley
Andy McMahon
Director, Principal AI & MLOps Engineer
Marily Nika
Gen AI Product Lead - Voice Intelligence, Google
David Pereira
Chief AI Officer, NTT DATA Europe & Latin America
Brandon Procak
Senior Manager, Frontier Tech, Boston Consulting Group
Murli Buluswar
Head, U.S. Personal Banking Analytics
Ken Sena
Co-Founder & CEO, Aiera
Richa Singh
Head of AI, Lexington Partners
George Sivulka
Founder & CEO, Hebbia
Gabriel Stengel
Founder & CEO, Rogo
  • Empower your professionals with AI Literacy to accelerate adoption of real-world AI applications
  • Bridge the gap between technology and business teams working on AI solutions
  • Identify and develop AI Champions who will drive efficiency and productivity gains
  • No technical or coding background needed — accessible to all finance & business roles
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Learning Experience & Modules

Upon completion of the program, participants will be able to apply AI methodologies
across finance and business functions with confidence and clarity.

Rigorous curriculum focused on real-world technical concepts and AI applications in finance & business roles
Real-world case studies and examples that make AI directly applicable to each persona
Hands-on, project-based exercises enable immediate AI applications upon program completion
Self-paced online format with live faculty office hours and personalized coaching support

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

Module 2

Foundational AI Skills & Popular AI 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
  • Build AI-driven fraud detection, chatbots, and classification systems

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
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This program is designed to scale AI adoption from the ground up — by developing internal AI champions who can identify high-impact opportunities, lead teams, and implement real AI solutions that drive innovation across business units." — Daniel Guetta, Program Director and Professor of Professional Practice, Columbia Business School

Ready to Accelerate AI Transformation in Your Organization?

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Request a Consultation