The flexible payment option allows a student to pay the program fee in installments. This option is made available in the application form and should be selected before making the payment.
The following payment options are available for Artificial Intelligence: Business Strategies and Applications:
Pay in Full
Pay the entire program fee of $2,800 at once.
Pay in 2 installments
The first installment of $1,371 would be due immediately.
The final installment of $1,485 is to be paid by October 21, 2020.
Pay in 3 installments
The first installment of $941 would be due immediately.
The second installment of $1,058 is to be paid by October 21, 2020.
The final installment of $941 is to be paid by November 09, 2020.
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Who is This Program For?
Senior leaders including C-suite executives overseeing the integration of AI into their organization's business strategy
Senior managers and executives involved with managing teams and AI-driven projects
Functional business heads interested in exploring AI opportunities across business functions
Mid-career professionals looking to bolster their career opportunities through new technologies
Data scientists and analysts involved in research for business intelligence or data analytics where AI may be useful
Professionals eager to upskill and advance in their career with the recent advancement in applications of AI in business
How is Artificial Intelligence Transforming Business?
In 2016, the global Artificial Intelligence (AI) market grew to $1.4 billion, and by 2025, the global AI market is expected to expand to almost $60 billion, according to TechJury. Artificial Intelligence is transforming the personal and professional lives of people across the world. AI refers to the development of computer systems that can perform tasks usually requiring human intelligence, such as visual perception, speech recognition, and even decision making. These technologies can be applied to a number of undertakings to benefit organizations seeking to improve outcomes and productivity. To compete in this new tech-driven economy, you must understand how game-changing technologies such as AI can benefit the different business functions in your organization.
In this program, you will:
Learn AI’s current capabilities and applications—and its future potential
Learn how to organize and manage successful AI application projects
Grasp the technical aspects of AI well enough to communicate effectively with technical teams and colleagues
Learn how to avoid pitfalls associated with these new technologies
Build your leadership credibility by obtaining a Certificate of Completion from UC Berkeley Executive Education
Program Topics
This program helps introduce basic applications of AI to those in business. While participants learn about AI’s current capabilities and potential, they also gain more depth with attention to the reach of automation, machine learning, and robotics.
Module 1:
Introduction – AI and Business
Module 2:
Machine Learning Basics
Module 3:
Neural Networks and Deep Learning
Module 4:
Key Applications: Computer Vision & Natural Language Processing
Module 5:
Robotics
Module 6:
AI Strategy
Module 7:
AI and Organizations: Building Your AI Team
Module 8:
The Future of AI in Business
Capstone Business Challenge Project
Across the eight modules, you will develop and refine an AI-related project or initiative for your own organization. The project culminates in a business case and plan that uses AI to transform at least one aspect of the business. The plan can be put into action after elements are tested throughout the program. If you do not have an organizational project or initiative to develop, faculty will provide project ideas.
You can expect a hands-on approach that builds a bridge between the engineering and technical aspects of AI with the business applications. Leading faculty from both disciplines teach in the program, bringing their diverse experiences to the topic of AI. The program includes live and recorded lectures, case studies, assignments, applied learning opportunities, and interactive discussion groups. The program includes four live teaching sessions, real-world examples, and a capstone project.
This program requires no engineering or technical experience. As the program progresses, you will learn the basics of AI technologies and how they can be applied to your organization. It's not about becoming a technical expert, but rather having a foundational understanding of AI and how it can be positioned to improve efficiency and effectiveness across your organization.
Company Examples
In order to deepen your understanding of key concepts and encourage critical thinking, we will examine several company examples.
Case Study
Vodafone
Digital transformation has implications for a company's organizational design. What is an appropriate change management strategy when implementing AI and machine learning? We'll tap Vodafone for insights.
Note: All product and company names are trademarks or registered trademarks of their respective holders. The study of these products and/or companies does not imply any affiliation with or endorsement by them.
Program Faculty
Learn from our distinguished faculty at the forefront of information and communication technology, online marketing strategy and management philosophy.
Sameer B. Srivastava
Associate Professor & Harold Furst Chair in Management Philosophy and Values
Sameer B. Srivastava is Associate Professor and Harold Furst Chair in Management Philosophy and Values at UC Berkeley's Haas School of Business and is also affiliated with UC Berkeley Sociology. His research unpacks the complex interrelationships among the culture of social groups, the cognition of individuals within these groups, and the connections that people forge within and across groups. More info
Thomas Lee
Associate Adjunct Professor, Research Scientist
Thomas Lee is an Associate Adjunct Professor and Research Scientist in the Haas Operations and Information Technology Management Group at the Haas School of Business. He teaches and conducts research on information and communication technologies to support innovation and new product development. Specifically, he develops and applies text and data mining methods for processing user-generated content. More info
Zsolt Katona
Assistant Professor of Marketing
Zsolt Katona holds a Ph.D. in computer science from the Eotvos University in his native Hungary and a Ph.D. in marketing from INSEAD France. He is an Assistant Professor of Marketing and the Cheryl and Christian Valentine Associate Professor at the Haas School of Business, University of California, Berkeley. He is an expert in online marketing strategy... More info
Pieter Abbeel
Professor, UC Berkeley Electrical Engineering and Computer Sciences (EECS)
Pieter Abbeel is a Professor at UC Berkeley’s Electrical Engineering and Computer Sciences school and Director of the Berkeley Robot Learning Lab and co-director of the Berkeley Artificial Intelligence Research (BAIR) lab. He works in machine learning and robotics. In particular his research focuses on making robots learn from people (apprenticeship learning), how to make robots learn through their own trial and error (reinforcement learning)... More info
Matthew Stepka
Visiting Scholar/Executive in Residence UC Berkeley Haas School of Business
Matthew Stepka is a Visiting Scholar and Executive in Residence at UC Berkeley Haas School of Business. In addition, he is managing partner at Machina Ventures, an investment firm focused on early stage, artificial intelligence and data science enabled companies. Previously, he served as Vice President, Business Operations / Special Projects (Strategy) at Google, where he led... More info
Certificate
Certificate
Get recognized! Upon successful completion of the program, UC Berkeley Executive Education grants a verified digital certificate of completion to participants. This program is graded as a pass or fail; participants must receive 80% to pass and obtain the certificate of completion.
Note: After successful completion of the program, your verified digital certificate will be emailed to you in the name you used when registering for the program. All certificate images are for illustrative purposes only and may be subject to change at the discretion of UC Berkeley Executive Education.
This program counts toward a Certificate of Business Excellence
A UC Berkeley Certificate of Business Excellence gives individuals the opportunity to create a personal plan of study structured by our four academic pillars. Participants will earn a mark of distinction with certification from a world-class university, and enjoy the flexibility of completing the program in up to three years.
Zsolt Katona holds a Ph.D. in computer science from the Eotvos University in his native Hungary and a Ph.D. in marketing from INSEAD France. He is an Assistant Professor of Marketing and the Cheryl and Christian Valentine Associate Professor at the Haas School of Business, University of California, Berkeley. He is an expert in online marketing strategy and social media. Zsolt’s research focuses on online marketing strategy, networks, and social media. He studies how firms can better take advantage of new Internet technologies and how they can integrate them into their marketing mix. His research has appeared in leading scientific journals such as Management Science, Marketing Science, Journal of Consumer Research, Journal of Marketing Research, and Journal of Applied Probability. His research has been featured in Bloomberg Business News and the U.S. National Public Radio. He has consulting experience with companies such as Autodesk, IBM, Kelora Systems, Singtel, Telkomsel, and Vodafone.
Thomas Lee
Associate Adjunct Professor, Research Scientist
Thomas Lee is an Associate Adjunct Professor and Research Scientist in the Haas Operations and Information Technology Management Group at the Haas School of Business. He teaches and conducts research on information and communication technologies to support innovation and new product development. Specifically, he develops and applies text and data mining methods for processing user-generated content. His goal is to discover and select opportunities for product and service innovation. Recent research has mined the text of online customer reviews to induce market structure and mined electronic medical records to redesign emergency department healthcare service processes. He holds Ph.D. and M.S. degrees from MIT’s Engineering Systems Division and B.A. and B.S. degrees in Political Science and Symbolic Systems (Artificial Intelligence) from Stanford University. He has served as a visiting scientist at the Computer Security Division of the National Institute of Standards and Technology, a research engineer at the MITRE Corporation, and as a contractor for DynCorp-Meridian supporting the Defense Advanced Research Projects Agency doing research on Internet privacy and security. His research has been featured in Bloomberg Business News and the U.S. National Public Radio. He has consulting experience with companies such as Autodesk, IBM, Kelora Systems, Singtel, Telkomsel, and Vodafone.
Sameer B. Srivastava
Associate Professor & Harold Furst Chair in Management Philosophy and Values
Sameer B. Srivastava is Associate Professor and Harold Furst Chair in Management Philosophy and Values at UC Berkeley's Haas School of Business and is also affiliated with UC Berkeley Sociology. His research unpacks the complex interrelationships among the culture of social groups, the cognition of individuals within these groups, and the connections that people forge within and across groups. Much of his work is set in organizational contexts, where he uses computational methods to examine how culture, cognition, and networks independently and jointly relate to career outcomes. His work has been published in journals such as American Journal of Sociology, American Sociological Review, Administrative Science Quarterly, Management Science, and Organization Science. It has been covered in media outlets such as The New York Times, Fortune, The Wall Street Journal, Financial Times, and Forbes. Sameer teaches a popular MBA elective course, Power and Politics in Organizations, and co-directs the Berkeley-Stanford Computational Culture Lab. In a prior career, Sameer was a partner at a global management consultancy (Monitor Group; now Monitor Deloitte). He holds AB, AM, MBA, and PhD degrees from Harvard University.
Pieter Abbeel
Professor, UC Berkeley Electrical Engineering and Computer Sciences (EECS)
Pieter Abbeel is a Professor at UC Berkeley’s Electrical Engineering and Computer Sciences school and Director of the Berkeley Robot Learning Lab and co-director of the Berkeley Artificial Intelligence Research (BAIR) lab. He works in machine learning and robotics. In particular his research focuses on making robots learn from people (apprenticeship learning), how to make robots learn through their own trial and error (reinforcement learning), and how to speed up skill acquisition through learning-to-learn (meta-learning). His robots have learned advanced helicopter aerobatics, knot-tying, and basic assembly, for example. Also, Abbeel, who has won numerous awards for his work, frequently hosts executive groups for lectures and discussions on recent advances and trends in AI. His work has been featured in publications, such as The New York Times, BBC, Bloomberg, Wall Street Journal, Wired, Forbes, Tech Review, and NPR.
Matthew Stepka
Visiting Scholar/Executive in Residence UC Berkeley Haas School of Business
Matthew Stepka is a Visiting Scholar and Executive in Residence at UC Berkeley Haas School of Business. In addition, he is managing partner at Machina Ventures, an investment firm focused on early stage, artificial intelligence and data science enabled companies. Previously, he served as Vice President, Business Operations / Special Projects (Strategy) at Google, where he led and incubated strategic initiatives. Nowadays, he is also a public speaker on technology that is reshaping society and the economy, particularly AI and blockchain. Stepka has a B.S. in computer science from Case Western University and a J.D. from University of California Los Angeles School of Law.
