Berkeley Executive Education and Emeritus launch ‘Artificial Intelligence & GenAI: Business Strategies and Applications’ Program, Equipping Leaders with Strategic AI Capabilities

Mumbai, January 13, 2025: In today’s dynamic business landscape, AI is no longer a futuristic concept but a strategic imperative for senior executives. Mastery of AI-driven insights empowers leaders to make data-informed decisions, drive innovation, and maintain a competitive edge. By understanding AI’s transformative potential, executives can effectively integrate it into their strategies, fostering agility and resilience in the face of rapid market shifts. Equipping professionals with AI knowledge is not just about staying relevant—it is about leading with vision in an increasingly technology-driven world.

To prepare leaders to drive strategic adoption of AI, unlocking its potential for real-world transformative outcomes, Berkeley Executive Education announces the launch of its 3-month Artificial Intelligence & GenAI: Business Strategies and Applications Program in India, in collaboration with Emeritus.

According to the 2024 Global AI Readiness Index by Oxford Insights, India ranks among the top 20 countries demonstrating rapid strides in AI readiness, with a focus on government initiatives and a burgeoning tech talent pool.    Another research by Amazon Web Services highlights a significant training awareness gap, whereby 91% of employers indicated that they don’t know how to run an AI workforce training program. Meanwhile, 86% of workers said they aren’t sure about relevant career paths where AI skills are useful.

These data showcase the critical need to help professionals enable AI adoption effectively by mastering implementation and leadership capabilities. Delivering business value in India and globally requires robust strategies to harness AI across diverse industries and management functions. While many AI-focused online programs emphasize the technical aspects of AI, they often fall short in addressing real-world execution—underscoring the need for programs that bridge this gap and meet the market demand for AI-fueled innovation.

The Berkeley Executive Education Artificial Intelligence & GenAI: Business Strategies and Applications program provides a forward-thinking perspective on how businesses can leverage AI to drive innovation and transform industries—all without requiring participants to have extensive technical expertise. This comprehensive, hands-on program is tailored to equip mid-level and senior professionals across diverse sectors with the insights and tools needed to effectively integrate AI into their business strategies.

Through this program, participants will develop critical thinking skills and gain actionable insights to foster success across various industries. While the curriculum delves into the current capabilities and future potential of GenAI, it also offers an in-depth exploration of automation, machine learning, and robotics and their transformative impact on business. The program emphasizes practical applications, preparing participants with AI-driven strategies to enhance organizational growth, optimize product marketing, and build high-performing teams through a mix of theoretical foundations and applied learning.

Key features of the program include industry-relevant case studies, select live sessions led by globally-acclaimed faculty, and the development of a capstone project, ensuring a holistic and immersive learning experience. The curriculum encompasses modules such as machine learning fundamentals, neural networks and deep learning, robotics, and the future of AI in business, designed to provide participants with a competitive edge and strategic acumen in the evolving AI landscape.

The program starts on 27 March 2025 and has a fee of INR 1,49,000+ GST. The program is offered through Emeritus, a global pioneer in offering accessible and affordable high-quality education to individuals and organizations. Visit the program page for more details.

Interested applicants should apply by 22 January 2025.

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