The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
CourtlynPromotion and Events Specialist
Our participants tell us that taking this program together with their colleagues helps to share common language and accelerate impact.
We hope you find the same. Special pricing is available for groups.
CourtlynPromotion and Events Specialist
In 2022, the global artificial intelligence (AI) market was valued at US$136.55 billion. According to Bloomberg, generative AI is anticipated to become a US$1.3 trillion market by 2032. A recent survey by New Vantage Partners found that 91.7 percent of top organizations are investing in AI activities, and 54 percent of organizations using AI reported cost savings and efficiencies in a study by IBM. With advancements in machine learning, automation, and natural language processing, AI is revolutionizing traditional business models in unprecedented ways and is poised to drive a new wave of innovation and evolution across industries. AI offers a vast array of capabilities with virtually limitless potential, including automating repetitive tasks, providing predictive insights, enabling personalized customer experiences, optimizing supply chain management, and improving risk assessment. As AI continues to transform every aspect of modern business, organizations that embrace it will be empowered to unlock new opportunities, achieve operational efficiencies, and drive sustainable growth, gaining a competitive advantage.
In this program, you will:
This program helps introduce the basic applications of AI to those in business. While participants learn about AI’s current capabilities and potential, they also gain deeper knowledge about the reach of automation, machine learning, and robotics.
Gain a high-level overview of technologies, including capabilities and limitations, while understanding AI, its methods, and its business applications.
Learn about supervised and unsupervised learning and the importance of data and obtaining and managing it for machine learning.
Understand the transition from traditional machine learning to neural networks and deep learning and their common applications.
Learn about the ways machines see and talk computer vision, natural language processing, and generative AI as well as recent developments, such as GANs and RNNs.
Grasp what traditional robotic automation can and cannot do and the new wave of AI-driven automation, such as robots with eyes and robots that can adapt.
Recognize the implications of AI on business strategy and how to develop and execute an AI strategy to create a competitive advantage.
Discover how to embed AI in your organization and the challenges of organizational transformation.
Identify what new problems AI can help solve, how it will continue to transform businesses, and how you can prepare for the future of AI.
Discover how to embed AI in your organization and the challenges of organizational transformation.
Note: module topics are subject to change.Download Brochure
The program includes four live sessions that cover the most recent trends in AI and its future applications. Each session is led by renowned faculty. These sessions will be recorded and made available for later viewing.*
Live Session 1: The Business of AI Today
Understand the latest business applications of AI, such as natural language processing (e.g., ChatGPT), the generative AI landscape, and language models.
Live Session 2: Generative AI Models and Simulation for Prediction
Discuss simulation and prediction as a lens for understanding generative models based on transformers and physics-based models.
Live Session 3: AI and Organizations — Building Your AI Team
Understand how the tools of AI and machine learning can enable the assessment of different facets of organizational culture and discuss technology-enabled approaches for shifting it in ways that support performance.
Live Session 4: The Future of AI in Business
Examine recent trends and interesting research in the field of AI, including algorithmic bias and how to correct it.
Note: live sessions mentioned here are subject to change.
You can expect a hands-on approach that builds a bridge between the engineering and technical aspects of AI and its business applications. Leading faculty from both disciplines teach in the program, bringing their diverse experiences. 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. You will also engage in live faculty sessions that will delve into trending AI topics, such as the business and future of AI, prediction simulations, and building AI teams.
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 is 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.
In order to deepen your understanding of key concepts and encourage critical thinking, we will examine several "real-world" or "business" examples.
Digital transformation has implications for a an organization's strategy. What is an appropriate change management strategy when implementing AI and machine learning? We'll tap Vodafone for insights.
Other case studies covered in this program are Skydio and Zipline, Self-driving cars, and warehouse and factory automation (Covariant).
“The program gives you a clear view on how a business could adopt AI and how to spot opportunities and risks."
— Hector Gonzalez, Customer Engineer
“I really enjoyed interactions with other students, perspectives offered from different angles and the reflections about what AI really is, the problems it can really solve (and the ones it can't) and finally, the most important, clear guidelines and practical examples of applications."
— Romain Jourdan, Senior Director Technical Evangelist
“Getting tactical with how to implement AI/ML into your organization was useful. The program was not just theory based, but gave us, as students, the tools necessary to become engaged in such conversations."
— Dalain Williams, Technical Project Manager
“The Capstone Project and its ability to include all the dimensions involved in a real world scenario was great."
— Naveen Kolla, Manager, Technology Management
“The capstone project was the best part of this program because it made me apply most of what I learnt simultaneously in finding a solution to a business challenge."
— Olabode Opeseitan, Chairman
“The program was thought-provoking in terms of how and why to apply AI. Not too tech orientated but enough to give us a good top level understanding."
— Gerald McGuire, Company Owner
“Superbly organized, informative and succinct."
— Wallace Andrew Pennington, AI/ ML Strategist
“I like the balance between technical and non-technical. For people like me with only a basic understanding, it is a perfect fit."
— Theo Knegtel, CEO
“The ability to take complex science and link it to real world application, business decisions or cases (Vodafone) brought it all to life. It was the real world application which made this worthwhile and 100% applicable."
— Todd Zavodnick, CEO
Learn from our distinguished faculty at the forefront of information and communication technology, online marketing strategy, and management philosophy.
SAMEER B. SRIVASTAVA
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 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 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 a 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 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 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
SAMEER B. SRIVASTAVASameer B. Srivastava is an associate professor and the 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.
THOMAS LEEThomas 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.
ZSOLT KATONAZsolt 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 a 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.
PIETER ABBEELPieter 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 STEPKAMatthew 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.
Enrolling in the Artificial Intelligence: Business Strategies and Applications program can become your first step toward pursuing the UC Berkeley Executive Education Certificate of Business Excellence (COBE). The Certificate of Business Excellence gives individuals the opportunity to acquire and hone new skills and do it on a timeline that works with your busy schedule. 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.
Learn more about the program and associated alumni benefits here.
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Note: All benefits subject to change.
Get recognized! Upon successful completion of the program, UC Berkeley Executive Education grants a verified digital certificate of completion to participants. Participants must complete 80 percent of the required activities including a capstone project (if any) to obtain the certificate of completion. This program also counts toward a Certificate of Business Excellence.Download Brochure
Note: This program results in a digital certificate of completion and is not eligible for degree credit/CEUs. 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.
After reviewing the information on the program landing page, we recommend you submit the short form above to gain access to the program brochure, which includes more in-depth information. If you still have questions on whether this program is a good fit for you, please email email@example.com, and a dedicated program advisor will follow-up with you very shortly.
Some programs do have prerequisites, particularly the more technical ones. This information will be noted on the program landing page, as well as in the program brochure. If you are uncertain about program prerequisites and your capabilities, please email us at the ID mentioned above.
Note that, unless otherwise stated on the program web page, all programs are taught in English and proficiency in English is required.
More than 50 percent of our participants are from outside the United States. Class profiles vary from one cohort to the next, but, generally, our online certificates draw a highly diverse audience in terms of professional experience, industry, and geography — leading to a very rich peer learning and networking experience.
Check back to this program web page or email us to inquire if future program dates or the timeline for future offerings have been confirmed yet.
Each program includes an estimated learner effort per week. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page.
We have designed this program to fit into your current working life as efficiently as possible. Time will be spent among a variety of activities including:
The program is designed to be highly interactive while also allowing time for self-reflection and to demonstrate an understanding of the core topics through various active learning exercises. Please email us if you need further clarification on program activities.
More than 300,000 learners across 200 countries have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded.
All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner the cost of which is already included in the overall course fee of the course.
A dedicated program support team is available 24/5 (Monday to Friday) to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.
Peer learning adds substantially to the overall learning experience and is an important part of the program. You can connect and communicate with other participants through our learning platform.
Each program includes an estimated learner effort per week, so you can gauge what will be required before you enroll. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page. All programs are designed to fit into your working life.
This program is scored as a pass or no-pass; participants must complete the required activities to pass and obtain the certificate of completion. Some programs include a final project submission or other assignments to obtain passing status. This information will be noted in the program brochure. Please email us if you need further clarification on any specific program requirements.
Upon successful completion of the program, you will receive a smart digital certificate. The smart digital certificate can be shared with friends, family, schools, or potential employers. You can use it on your cover letter, resume, and/or display it on your LinkedIn profile.
The digital certificate will be sent approximately two weeks after the program, once grading is complete.
No, only verified digital certificates will be issued upon successful completion. This allows you to share your credentials on social platforms such as LinkedIn, Facebook, and Twitter.
UC Berkeley Center for Executive Education, dba Berkeley Executive Education, is a California nonprofit organization formed for the purpose of operating executive education programs in support of UC Berkeley and the Haas School of Business.
No, there is no alumni status granted for this program. In some cases, there are credits that count toward a higher level of certification. This information will be clearly noted in the program brochure.
You will have access to the online learning platform and all the videos and program materials for 12 months following the program start date. Access to the learning platform is restricted to registered participants per the terms of agreement.
Participants will need the latest version of their preferred browser to access the learning platform. In addition, Microsoft Office and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files, and transcripts.
Yes, the learning platform is accessed via the internet, and video content is not available for download. However, you can download files of video transcripts, assignment templates, readings, etc. For maximum flexibility, you can access program content from a desktop, laptop, tablet, or mobile device.
Video lectures must be streamed via the internet, and any livestream webinars and office hours will require an internet connection. However, these sessions are always recorded, so you may view them later.
Yes, you can register up until seven days past the published start date of the program without missing any of the core program material or learnings.
The program fee is noted at the top of this program web page and usually referenced in the program brochure as well.
Yes, you can do the bank remittance in the program currency via wire transfer or debit card. Please contact your program advisor, or email us for details.
Yes! Please email us with the details of the program you are interested in, and we will assist you.
Please email us your invoicing requirements and the specific program you’re interested in enrolling in.
Yes, the flexible payment option allows a participant to pay the program fee in installments. This option is made available on the payment page and should be selected before submitting the payment.
Please connect with us via email for assistance.
You may request a full refund within seven days of your payment or 14 days after the published start date of the program, whichever comes later. If your enrollment had previously been deferred, you will not be entitled to a refund. Partial (or pro-rated) refunds are not offered. All withdrawal and refund requests should be sent to firstname.lastname@example.org.
After the published start date of the program, you have until the midpoint of the program to request to defer to a future cohort of the same program. A deferral request must be submitted along with a specified reason and explanation. Cohort changes may be made only once per enrollment and are subject to availability of other cohorts scheduled at our discretion. This will not be applicable for deferrals within the refund period, and the limit of one deferral per enrollment remains. All deferral requests should be sent to email@example.com.