AI for Decision Making: Business Strategies and Applications
Ranked #1 Best AI program by Career Karma
This AI program with Wharton Online gives you the competitive edge in emerging business technologies. The program delivers a foundational understanding of today’s top technologies, including big data, AI, and machine learning, and how you can use them to support your organization’s strategy.
- Next Cohort starts 27 May, 2022
- Program Duration 3 months
- Learning Format Blended Learning
Why Join this Program
Wharton’s Academic Eminence
Gain a certificate from Wharton Online, the Wharton School's digital learning platform
Immense Domain Exposure
Learn how AI can be applied across business functions such as marketing, finance, and HR
Learn from Wharton Faculty
Learn live from top Wharton faculty with online masterclasses
Real World Business Use Cases
Get insights on how AI is utilized across companies like McDonald's, Visa and Citigroup.
FOR ENTERPRISE
Looking to enroll your employees into this program ?Program Overview
This program provides participants with the fundamental skills of big data, AI, and machine learning and how to apply them across the 3 key business functions: marketing, finance, and people management. This AI program also covers the risks and ethics of using AI and how you can design governance frameworks for an effective AI implementation.
Key Features
- Globally-recognized Wharton Online certificate
- Exclusive course content, co-created by eight of the top Wharton professors
- Live online masterclasses delivered by distinguished Wharton faculty
- Practical exposure to AI applications in top business domains such as marketing, finance, and HR
Program Advantage
This Artificial Intelligence program in collaboration with Wharton Online is designed to offer professionals from diverse backgrounds comprehensive training in the most in-demand skills and technologies needed to succeed as an AI business leader.
Collaborating with Wharton Online
- Wharton Online certificate upon program completion
- Masterclasses delivered by distinguished Wharton faculty
- Curriculum co created by eight distinguished Wharton professors
Program Details
This AI for Decision Making: Business Strategies and Applications program will help its participants get a comprehensive understanding of emerging technologies like big data, AI, and machine learning and the various areas in which they can deploy these technologies to support their business needs.
Learning Path
Get started with the AI for Decision Making: Business Strategies and Applications program with this orientation session. The session will help you get to know what this carefully curated AI program has to offer and kickstart your AI journey.
This course covers the fundamentals of big data, machine learning (ML), and artificial intelligence. You will dive deep into how machine learning (ML) is used to handle and interpret big data. The program will take you through various ML and deep learning methods, along with their limitations and ways to drive accuracy. You will also learn how to use the best training data for your algorithms.
This course will help you learn how AI-powered applications can augment the customer journey and extend the customer lifecycle. You will understand how AI can help analyze consumer habits and maximize the potential to target your marketing to the right audience.
This course will help you learn how AI is instrumental in the data-driven world of finance. You will learn how to mitigate fraud using AI systems and understand the role of AI in financial risk management. You will also learn how to use AI to conduct error analysis to prevent costly miscalculations and how AI is playing an integral role in combating digital fraud.
This course helps to understand how AI and ML can be applied to the various functions of HR management. You will understand how data is used in AI and Machine Learning to drive HR decisions. You will also learn how to use emerging technologies to manage the entire employee lifecycle and ways to utilize enormous volumes of data to identify patterns and make predictions that are in the best interest of your business.
This course helps to understand AI strategies that can be leveraged by businesses to gain a competitive advantage. You will learn about the various ways in which AI can be put to use in an enterprise setting and the tools that are available to lower the barriers to AI use. You will also understand how to build effective AI governance algorithms and their effect on businesses. Finally, you will explore the role of AI in change management and the risks associated with AI processes.
Electives:
Attend live online interactive masterclasses conducted by distinguished Wharton faculty and get insights into the advancements in the AI domain.
Skills Covered
- Big Data
- Artificial Intelligence
- Machine Learning
- Data Mining
- Predictive Analytics
- Supervised Learning
Real World Examples
McDonalds
Understand how McDonald’s utilized machine learning models to provide personalized experiences to its drive-thru customers, thereby enhancing customer satisfaction.
Visa
Garner deep insights on how Visa utilized AI to detect fraudulent activities associated with credit card transactions for a host of scenarios.
SiriusXM
Learn how SiriusXM, an established leader in audio entertainment in North America, leveraged recommender systems to help its listeners enjoy more personalized music selections.
Poshmark
Get an in-depth view of how Poshmark uses recommendation engines to suggest curated products to its customers based on their tastes and buying patterns.
Citigroup
Learn how Citi identifies and manages the risks associated with AI and ensures that AI systems are deployed in a safe and secure manner.
Program Faculty
Michael R. Roberts
Professor of Finance, The Wharton SchoolMichael R. Roberts is the William H. Lawrence Professor of Finance at the Wharton School of the University of Pennsylvania. Professor Roberts earned his BA in Economics from the University of California at San Diego, and Ph.D. in Economics from the University of California at Berkeley.
Peter Cappelli
Professor of Management, The Wharton SchoolPeter Cappelli is the George W. Taylor Professor of Management at The Wharton School and Director of Wharton’s Center for Human Resources. He is also a Research Associate at the National Bureau of Economic Research in Cambridge, MA, served as Senior Advisor to the Kingdom of Bahrain.
Kartik Hosanagar
Professor of Operations, Information and Decisions, The Wharton SchoolKartik Hosanagar is a professor at the Wharton School of the University of Pennsylvania. Professor Hosanagar's research work focuses on the digital economy, in particular internet media, internet marketing, and e-commerce.
Raghuram Iyengar
Professor of Marketing, The Wharton SchoolRaghuram Iyengar’s research investigates how consumers respond to nonlinear pricing schemes. Professor Iyengar’s teaching interests are in the area of Marketing Analytics. He earned his Ph.D. from Columbia University and his undergraduate degree from IIT Kanpur, India.
Kevin Werbach
Professor of Legal Studies & Business Ethics, The Wharton SchoolKevin Werbach is a Professor of Legal Studies and Business Ethics at the Wharton School, University of Pennsylvania. A world-renowned expert on emerging technology, he examines the business and policy implications of developments such as broadband, big data, and blockchain.
Matthew Bidwell
Associate Professor of Management, The Wharton SchoolMatthew Bidwell's research examines new patterns in work and employment, focusing in particular on the causes and effects of more short-term, market-oriented employment relationships. Professor Bidwell holds a Ph.D. from the MIT Sloan School, an S.M. in Political Science from MIT
Lynn Wu
Associate Professor of Operations, Information and Decisions, The Wharton SchoolLynn Wu is an associate professor (with tenure) at the Wharton School. She teaches MBA, undergraduate, and Ph.D. classes about the use and impact of emerging technologies on business. Her research examines technologies, such as AI and analytics.
Prasanna Tambe
Associate Professor of Operations, Information and Decisions, The Wharton SchoolPrasanna (Sonny) Tambe is an associate professor of Operations, Information, and Decisions at the Wharton School of the University of Pennsylvania. His research focuses on the use of data science and AI for HR applications and on the economics of labor markets for high-tech workers.
Admission Details
Eligibility Criteria
For admission to this Post Graduate Program, candidates should have:
Admission Fee & Financing
The admission fee for this program is $ 2,499. This fee includes all applicable program charges.
Pay in Installments
You can pay monthly installments for this program using the following payment options with low APR and no hidden fees.
Other Financing Options
We provide the following options for one-time payment
- Credit Card
- Paypal
$ 2,499
Program FAQs
What are the benefits of enrolling for the AI for Decision Making: Business Strategies and Applications program?
A participant enrolling in the AI for Decision Making: Business Strategies and Applications program can experience multiple benefits that come directly from Wharton Online. The benefits are as follows:
- Wharton Online certificate upon program completion
- Access to live online masterclasses delivered by Wharton Faculty
- Access to curriculum co-created by eight Wharton professors
What will I get on completing the AI for Decision Making: Business Strategies and Applications program?
The AI for Decision Making: Business Strategies and Applications program from Wharton Online will help you understand the fundamentals of big data, artificial intelligence, and machine learning, and equip you with the skills needed to apply them across various domains to support your organization’s business. The curriculum and content of the program have been co-created by eight Wharton professors. A participant successfully completing the program will be eligible for a certificate from Wharton Online.
Is there background knowledge required to complete the program?
This program demands no background knowledge, technical know-how, or prior programming experience to enroll.
Who is this program Ideal for?
The AI for Decision Making: Business Strategies and Applications program caters to working professionals from a variety of industries and backgrounds. This program is ideal for technology-oriented professionals, online marketers, statisticians, automation innovators, data professionals, or anyone seeking a competitive edge in emerging business technologies.
This program is intended for -
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Professionals who want to understand how they can make their organizations AI-ready.
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Business leaders and managers who are responsible for making strategic decisions around AI and other associated technologies.
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Professionals who want to formulate and evaluate proposals involving machine learning and artificial intelligence technologies and their impact on the business.
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Aspiring managers, current managers, or senior executives looking to effectively analyze, articulate, and apply key AI management and leadership insights in their work and that of their teams and organizations.
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Managers and leaders who seek to build their own capabilities in strategy, leadership, and innovation, while developing personalized, and actionable plans.
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How long does it take to complete this AI for Decision Making: Business Strategies and Applications program with Wharton?
The program could be completed according to your schedule but the anticipated time to complete the overall material of the program is three months.
Is this course really 100% online? Do I need to attend any classes in person?
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings, and assignments anytime and anywhere via the web or your mobile device.
- Disclaimer
- PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.