EXECUTIVE EDUCATION

Artificial Intelligence: Business Strategies and Applications

Lead AI Initiatives
with confidence

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Course Dates
STARTS ON

September 30, 2020

Course Duration

DURATION

2 months, online
4-6 hours per week

Course Duration

PROGRAM FEE

US$2,800

Course Information Flexible payment available

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.

  1. Module 1:

    Introduction – AI and Business
  2. Module 2:

    Machine Learning Basics
  3. Module 3:

    Neural Networks and Deep Learning
  4. Module 4:

    Key Applications: Computer Vision & Natural Language Processing
  1. Module 5:

    Robotics
  2. Module 6:

    AI Strategy
  3. Module 7:

    AI and Organizations: Building Your AI Team
  4. 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.

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Your Learning Journey

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.

Berkeley Artificial Intelligence

Company Examples

In order to deepen your understanding of key concepts and encourage critical thinking, we will examine several company examples.

Berkeley Artificial Intelligence
Berkeley Artificial Intelligence
Berkeley Artificial Intelligence
Berkeley Infinite Company Example
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Berkeley Artificial Intelligence
Berkeley Artificial Intelligence
Berkeley Artificial Intelligence
Berkeley Volvo Company Example
Berkeley Zebra Company Example

Case Study

Berkeley Artificial Intelligence

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 Faculty

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 Faculty

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 Faculty

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 Faculty

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 Faculty

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

Berkeley Artificial Intelligence

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.

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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.

Berkeley Data Science

This program counts toward a Certificate of Business Excellence

Curriculum Days: Two days

Pillar(s): Entrepreneurship & Innovation / Strategy & Management

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.

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