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Generative AI: Business Transformation and Career Growth

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Beginnercourse

Discover the transformative impact of generative AI on businesses and professionals. Suitable for anyone interested in learning about business and career opportunities through generative AI. This course will benefit a diverse audience, including professionals in various domains, executives, managers, startup founders, and students.

Language

  • English

Topic

  • Artificial Intelligence

Enrollment Count

  • 275

Skills You Will Learn

  • Artificial Intelligence, Generative AI, LLM, NLP

Offered By

  • IBMSkillsNetwork

Estimated Effort

  • 5 hours

Platform

  • Coursera

Last Update

  • May 17, 2024
About This course
You will explore the impact of generative AI on existing businesses and opportunities for new businesses. You will learn how to make a business ready for generative AI adoption. You will identify the impact of generative AI across various industries.   

Further, you will explore the potential career opportunities in generative AI and how generative AI can enhance your career prospects. You will learn how generative AI can impact and enhance the existing functions, skills, and job roles in different sectors.   

In this course, you will hear from practitioners about the current trends and future perspectives of generative AI, exploring its potential to reshape industries and redefine professions. Finally, the course provides an opportunity to demonstrate your skills and understanding of generative AI through hands-on labs and projects.

Instructors

Rav Ahuja

Global Program Director, IBM Skills Network

Rav Ahuja is a Global Program Director at IBM. He leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. Rav co-founded Cognitive Class, an IBM led initiative to democratize skills for in demand technologies. He is based out of the IBM Canada Lab in Toronto and specializes in instructional solutions for AI, Data, Software Engineering and Cloud. Rav presents at events worldwide and has authored numerous papers, articles, books and courses on subjects in managing and analyzing data. Rav holds B. Eng. from McGill University and MBA from University of Western Ontario.

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