Artificial Intelligence: Business Strategies and Applications

Haas School of Business

Haas School of Business

Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

Reviews

Make sure this course is right for you.

Get unbiased reviews and personalized recommendations.

Who should attend

  • 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

About the course

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.

  • 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

The Artificial Intelligence program curriculum covers the following topics:

  • TOPIC 1 | Introduction – AI and Business
  • TOPIC 2 | Machine Learning Basics
  • TOPIC 3 | Neural Networks and Deep Learning
  • TOPIC 4 | Key Applications: Computer Vision & Natural Language Processing
  • TOPIC 5 | Robotics
  • TOPIC 6 | AI Strategy
  • TOPIC 7 | AI and Organizations: Building Your AI Team
  • TOPIC 8 | The Future of AI in Business
  • TOPIC 9 | Capstone Business Challenge Project

YOUR LEARNING JOURNEY

Artificial Intelligence Learning JourneyYou 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.

Experts

Zsolt Katona

Education PhD, Management (Marketing), INSEAD, France PhD, Computer Science, Eotvos Lorand University, Hungary MSc, Mathematics, Eotvos Lorand University, Hungary Positions Held At Haas since 2008 2008 – present, Assistant Professor of Marketing, Haas School of Business External Se...

Sameer Srivastava

Education PhD, Organizational Behavior/Sociology, Harvard University AM, Sociology,  Harvard University MBA, Harvard Business School AB, Economics, magna cum laude, Harvard College Positions Held At Haas since July 2012 2012 – present, Assistant Professor, Haas School of Business 1993...

Matthew Stepka

Education JD, UCLA School of Law BS, Computer Engineering & Management, Case Western Reserve University Positions Held At Haas since 2017 2007 – 2016, VP of Special Projects, Google 2005 – 2007, General Manager/VP, Drugstore.com 2004 – 2005, CEO/Founder, Big World Travel LLC 2000 – 2004, COO,...

Pieter Abbeel

Pieter Abbeel received a BS/MS in Electrical Engineering from KU Leuven (Belgium) and received his Ph.D. degree in Computer Science from Stanford University in 2008. He joined the faculty at UC Berkeley in Fall 2008, with an appointment in the Department of Electrical Engineering and Computer Sci...

Videos and materials

Artificial Intelligence: Business Strategies and Applications at Haas School of Business

From  $2,800

Something went wrong. We're trying to fix this error.

Thank you for your application

We will contact the provider to ensure that seats are available and, if there is an admissions process, that you satisfy any requirements or prerequisites.

We may ask you for additional information.

To finalize your enrollment we will be in touch shortly.

Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.

We are happy to help you find a suitable online alternative.