AI for Decision Making: Business Strategies and Applications
This AI program with Wharton Online gives you a competitive edge in emerging business technologies. The AI 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.
As low as
Earn a certificate from Wharton Online, the Wharton School's digital learning platform
Learn how to leverage AI across different business functions like marketing, finance, and HR
Learn Generative AI and its applications through a masterclass delivered by Wharton faculty
Gain insight into how companies like McDonald's, Visa, and Citigroup are leveraging AI today
The AI for Decision-Making program provides in-depth knowledge of big data, AI, and machine learning and how to apply them across the 3 key business functions: marketing, finance, and people management. This program also covers the risks and ethics of using AI and how you can design governance frameworks for effective AI implementation.
This AI program, in collaboration with Wharton Online, is designed to offer professionals from diverse backgrounds comprehensive training in the most in-demand skills and technologies required to succeed as an AI business leader.
This professional AI program for decision-making will help you master emerging technologies like big data, AI, and machine learning. You will learn how to harness these technologies to develop effective business strategies to facilitate optimal organizational growth.
Get started with the Artificial Intelligence program with this orientation session. The session will help you learn what this carefully curated AI program offers and kickstart your AI journey.
This AI program covers the fundamentals of big data, machine learning (ML), and artificial intelligence. You will dive deep into how ML handles and interprets big data. The AI for Business program will take you through various ML and deep learning methods, their limitations, and how to leverage them to ensure accuracy. You will also learn how to choose the best training data for your algorithms.
This AI program 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.
Learn how AI is instrumental in the data-driven world of finance in this AI course. 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 plays an integral role in combating digital fraud.
This AI program 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 AI for Business course will help you understand AI strategies businesses can leverage to gain a competitive advantage. You will learn about how AI can be used in an enterprise setting and the tools available to lower the barriers to AI use. You will also learn how to build effective AI governance algorithms, explore the role of AI in change management, and understand the risks associated with AI processes.
Attend live online interactive masterclasses conducted by distinguished Wharton faculty to gain insights into the advancements in AI.
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Learn how Citi identifies and manages the risks associated with AI and ensures that AI systems are deployed safely and securely.
Learn how AI is being used to disrupt the front office in terms of customer interactions and also transform the back office in terms of fraud and anti-money laundering.
Gain deep insight into how Visa utilizes AI to detect fraudulent activities associated with credit card transactions for various scenarios.
Understand how McDonald’s utilized machine learning models to provide personalized experiences to its drive-thru customers, enhancing customer satisfaction.
Learn how SiriusXM, an established leader in audio entertainment in North America, leveraged recommendation systems to help its listeners enjoy more personalized music selections.
Get an in-depth view of how Poshmark uses recommendation engines to suggest products to its customers based on their tastes and buying patterns.
Michael 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 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 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’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 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'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 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 (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.
For admission to this AI program, candidates should have:
The admission fee for this AI Program is $ 3,000. This fee includes all applicable program charges.
You can pay monthly installments for this program using the following payment options with low APR and no hidden fees.
We provide the following options for one-time payment
The AI courses covered in this program include:
Foundations of Big Data, AI, and Machine Learning
AI for the Marketing World
AI for the Finance Domain
AI for Human Resource Management
AI-Driven Transformation: Economics & Governance
You can get the following benefits by enrolling in the Artificial Intelligence Decision Making program with Wharton Online:
Wharton Online AI program certificate upon course completion
Access to live online AI masterclasses delivered by Wharton faculty
Access to curriculum co-created by eight Wharton professors
The professional AI 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 these technologies across various domains to support your organization. The curriculum and content of the program have been co-created by eight Wharton professors. Once you complete the Artificial Intelligence program, you will be eligible for a certificate from Wharton Online.
This Artificial Intelligence program requires no background knowledge, technical expertise, or prior programming experience to enroll.
The AI program caters to a variety of industries and backgrounds. This AI program is ideal for technology-oriented senior leaders, senior managers, functional business heads and C-suite executives, online marketers, statisticians, automation innovators, data professionals, or anyone seeking a competitive edge in emerging business technologies.
This Artificial Intelligence Decision Making program is intended for -
Business leaders and managers who are responsible for making strategic decisions around AI and other associated technologies.
Senior executives who want to formulate and evaluate proposals involving machine learning and artificial intelligence technologies and their impact on the business.
Senior 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.
Managers and leaders who seek to build their own capabilities in strategy, leadership, and innovation, while developing personalized, and actionable plans.
You can complete this AI program according to your schedule but the anticipated time to complete the program is three months.
This AI program 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.
We offer 24/7 support through email, chat, and calls. We have a dedicated team that provides on-demand assistance through our community forum. What’s more, you will have lifetime access to the community forum, even after completion of your AI program.
No refund will be applicable once you make the partial/full payment.
Our teaching assistants are a dedicated team of subject matter experts here to help you get certified in this AI program on your first attempt. They proactively engage with participants to ensure adherence to the learning path — helping to enrich their learning experience, from class onboarding to attending masterclasses.
Contact us using the form on the right side of any page on the Simplilearn website, select the Live Chat link.
This AI certification program does not include any transcripts for WES, as this is reserved for degree programs. We do not offer sealed transcripts and this online program is not applicable for WES or similar services.
There are no prerequisites for joining this AI program.
The total admission fee for this AI program is Rs. 1,35,000. You can use ‘No Cost EMI’ to pay as low as Rs. 4482 per month if you want a flexible financing option.
No, you don’t have to pass any exam to be eligible to join this AI for decision making course.
This Artificial Intelligence program will help you gain a foundational knowledge of present-day technologies like AI, machine learning, and big data. It makes you capable of using these technologies to support your business strategy and apply AI across functions like HR, financing, marketing, and more. By working on real-world business use cases, you can demonstrate your AI expertise working as a business leader and grab the attention of the hiring managers.
An eagerness to utilize AI to solve real-world problems is the only requirement to join this AI program.
This AI program helps you build a strong foundation in technologies like big data, AI and machine learning. You will learn how to apply them in key business functions, including finance, marketing, and HR management. By the end of this artificial intelligence program, you will have a clear understanding of predictive analytics, reinforcement learning, logistic regression, deep learning, recommendation systems, and how to leverage AI to solve real-world business problems.
Though this AI program is suitable for consultants, senior-level managers, and C-level executives, you can take it even if you are not a working professional.
The AI program for Decision Making course is a part-time program. You don’t need to pause your job to pursue the course. You can continue learning at your own pace and finish the course in 3 months.
Human resource management involves a number of time-consuming and repetitive tasks that can be automated with the help of AI. When one explores AI in HRM, one finds many administrative and legal help desks turning to AI to develop virtual assistants or chatbots to quickly resolve employees’ queries. AI for HR can also lead to simplification of the recruitment process, sifting through applications and managing them, and finally identifying profiles quickly that meet the selection criteria for a specific job role.
Financial companies are leveraging the power of AI and machine learning to improve loan underwriting and reduce financial risk. The technology is being utilized to better predict and assess loan risks. AI for finance can also result in fewer financial crimes as companies are using AI for advanced fraud detection and identification of anomalous activity as analysts, company accountants, investors, and treasurers work toward long-term business growth.
AI for marketing is usually adopted by businesses to offer their customers a digitalized and more personalized experience. Some of the areas where AI is proving to be an effective tool are increasing sales and improving customer experience, customer segmentation, establishing customer relationships on their terms, and creating content tailored to the target audience. Companies can also leverage this technology to collect data, buyer insights, and predict customers’ next moves, and finally make automated decisions that will positively impact their marketing efforts.
Companies can strategically implement AI only if they have skilled business leaders with in-depth knowledge of creating a highly impactful AI/ML strategy that is technically achievable. Today, one can take AI for Leaders training programs to learn how to create AI-powered business models with the platform and network effects. Business leaders can also learn how AI can impact their employees, customers, investors, operations, and service offerings.
AI is undoubtedly reshaping business strategies, and companies have now realized that this technology is of utmost importance for their business expansion. AI for business strategy is leading to a significant change in business models across industries. Organizations are updating their internal culture and putting data at the center of business decision-making and strategic planning.
According to Harvard Business Review, AI can support three crucial business needs - automating business processes, gaining actionable insights through data analysis, and better engaging with employees and customers. When you start learning AI for business, you will notice that it is working as a supporting tool. AI is adept at processing and analyzing troves of data much faster than a human brain and has a wider latitude of decision-making ability.
NLP courses provide participants with the necessary knowledge and skills to analyze customer sentiments and preferences. Through sentiment analysis techniques taught in these courses, participants can uncover valuable insights from customer feedback and social media conversations. Understanding customer sentiments helps businesses make informed decisions, tailor marketing strategies, and improve customer experience.