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    Quick Facts

    Medium Of InstructionsMode Of LearningMode Of Delivery
    EnglishSelf Study, Virtual ClassroomVideo and Text Based

    Course Overview

    If you are an aspiring entrepreneur looking to make your first entrepreneurial venture a success or a business owner wanting to take your business to the next level, the Entrepreneurship Acceleration online course by Wharton is the perfect course for you. This programme aims to train you in a set of skills that will help you to materialise your idea and increase the likelihood of your success. 

    Wharton, in association with Emeritus, has designed the Entrepreneurship Acceleration Programme: Scaling Your Business course, offering flexible learning options so that the candidates can balance it with work conveniently. Moreover, the classes are conducted online while the tutorials and live discussions are recorded so that you can cover them at your pace. 

    The Entrepreneurship Acceleration online programme is a two-month course, rife with video tutorials, application-based learning through real-world examples, peer learning sessions and quizzes and assignments. 

    Besides, the course is taught by reputed faculty like David Hsu, Karl Ulrich, Lori Rosenkopf, Kartik Hosanagar and Ethan Mollick. After you complete the programme, you will also be eligible to receive a digital certificate of completion.  

    The Highlights

    • Advanced programme in engineering
    • Berkeley Haas verified certification
    • Capstone business challenge projects
    • Real-world examples through case studies 
    • Company examples (Google, Tesla, Facebook, Hubspot etc.)
    • Four-live classes
    • Executive certification course
    • Industry-expert instructor
    • E-Learning 
    • Career-focused learning
    • Two-month course

    Programme Offerings

    • Advanced Learning
    • Upskill
    • Capstone business challenge projects
    • Company examples
    • Case Studies
    • Career-focused education
    • Online-scheduled classes
    • UC Berkeley verified certification
    • Executive certification course.

    Courses and Certificate Fees

    Certificate AvailabilityCertificate Providing Authority
    yesHaas School of Business, Berkeley

    The fees for the course Artificial Intelligence: Business Strategies and Applications is -

    HeadAmount
    Original FeesUS$2,950
    Discounted FeesUS$2,625

     


    Eligibility Criteria

    The programme requires no technical or engineering expertise. 

    Furthermore, Artificial Intelligence: Business Strategies and Applications certificate course learners are graded on a pass and fail. To receive a recognized certificate from Haas School of Business, UC Berkeley Executive Education, candidates must secure 80% and pass the programme.

    What you will learn

    LeadershipMachine learningKnowledge of Artificial IntelligenceKnowledge of deep learningKnowledge of NLP ModellingRobotic skills

    On completion of the Artificial Intelligence: Business Strategies and Applications online programme, students will be able to:-

    • Comprehend the applications, capabilities, and future of AI 
    • Manage and organize AI application projects
    • Relate to technical aspects and terminologies of AI
    • Avoiding pitfalls of new technology

    Who it is for

    The Artificial Intelligence: Business Strategies and Applications programme by Berkeley is for those who want to advance their careers and upskill in AI applications. 

    • Senior leaders who overlook the integration of AI in business models
    • Senior managers and executives involved in managing AI-driven teams and projects
    • Functional business heads looking to explore AI opportunities across business functions
    • Mid-career professionals, data analysts and scientists engaged in research

    Admission Details

    Aspirants of Berkeley’s Artificial Intelligence: Business Strategies and Applications programme can join by taking a free preview of the programme:-

    • Visit the official page of the programme here https://em-executive.berkeley.edu/artificial-intelligence-business-strategies and go through the offerings of the course.
    • Once clear, scroll down to the end of the page and click on ‘Preview this Programme for Free’.
    • A dialogue box will open. Enter your details such as name, mail address, phone, work experience, and country. 
    • Emeritus will mail a coupon and brochure to your email address which you can use if you choose to proceed further with the course.

    Application Details

    Candidates interested in the Artificial Intelligence: Business Strategies and Applications programme by Berkeley do not need to print or fill applications for enrolment. Details entered during the preview of the programme will serve as the candidate’s application form.

    The Syllabus

    • Learn how advances in AI are reshaping industries and business operations. Through real-world examples and case studies, identify opportunities where AI can address business challenges and support transformation. Explore core AI capabilities, including perception, generation, and decision-making, and examine how human judgment and AI work together in business contexts.  

    • Learn how machine learning supports business decision-making and value creation. Explore the differences between supervised, unsupervised, and reinforcement learning, and the considerations involved in building and evaluating AI models, including the importance of data quality, representativeness, and factors that influence model performance.

    • Learn how generative AI and emerging AI agents are changing the way organizations operate. Through real-world examples and business use cases, discover how AI is helping streamline workflows, enhance productivity, and support decision-making, while exploring key considerations for implementation and responsible adoption.  

    • Understand how neural networks and deep learning power many modern AI applications. Learn how to evaluate training data, model performance, and key considerations for leading teams working with these technologies.

    • Learn how computer vision and natural language processing are being used to analyze images, summarize content, generate text, and support applications such as sentiment analysis and chatbots. Gain an understanding of the opportunities, challenges, and business applications of advanced AI tools.

    • Gain an understanding of how robotics and reinforcement learning are enabling new forms of automation. Learn how to assess suitable applications for robotics and the factors that influence their ability to create business value.

    • Learn how physics-based models, simulation techniques, and AI can be used to generate predictive insights and support business decision-making. Through real-world examples and use cases, explore how simulation models complement machine learning approaches for forecasting, scenario analysis, and business planning.

    • Gain an understanding of how organizations can create value with AI while navigating technology hype, limitations, implementation challenges, and governance considerations. Learn frameworks for evaluating AI opportunities, managing risks, and developing an AI strategy aligned with business objectives.

    • Learn how AI-driven transformation impacts organizational design, operations, and ways of working. Through real-world examples, including a Vodafone case study, gain insights into the leadership and organizational changes needed to support successful AI adoption.

    • Learn how AI and data-driven approaches can help organizations better understand culture, collaboration, team dynamics, and organizational change. Through real-world examples and use cases, explore emerging applications of AI in workforce development, onboarding, leadership support, and organizational decision-making, while considering key principles for ethical and responsible implementation.

    • Gain practical insights into the opportunities, responsibilities, and challenges associated with AI-enabled organizations. Explore emerging developments such as generative AI, multimodal systems, and AI agents while learning how to develop a business case for an AI initiative and understanding the continuing role of human judgment, creativity, accountability, and responsible AI use.

    • Learn how advances in AI reasoning, large language models, and emerging AI capabilities are shaping the future of business. Through real-world examples and use cases, explore the opportunities these technologies create, while examining key considerations around bias, fairness, transparency, and responsible AI adoption.

    Instructors

    Haas School of Business, Berkeley Frequently Asked Questions (FAQ's)

    1: Can I immediately join the course?

    No, the course is taught in batches. You need to visit the website and check the start date of the Artificial Intelligence: Business Strategies and Applications programme.

    2: What are the flexible options I can opt for paying the fee?

    Candidates can choose to pay the fee on an instalment basis. A maximum of three instalments is possible that needs to be made while studying the programme.

    3: Are there other special discounts I can make use of?

    Group applications call in a discount of 20% from the fee at a special enrolment price. Candidates may also refer and get a concession of $280.

    4: On average, how much time do I need to spend per week?

    Candidates need to dedicate four-six hours of study per week to the Artificial Intelligence: Business Strategies and Applications course.

    5: What does a Capstone Business Project mean?

    A capstone business project applies all learning of the course into an actual business project such as the candidate’s enterprise and views direct results. Students will refine and develop AI-related solutions for problems faced in their organization. If candidates do not have an organizational project to work on, then the faculty of the course will provide project ideas.

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