The Role of the CEO in Navigating GenAI (Coursera)

The Role of the CEO in Navigating GenAI (Coursera)

This course is designed to guide CEOs and senior leaders on their journey to understanding and leveraging Generative AI. It focuses on the critical role of the CEO in navigating the transformative potential of GenAI. Guest speakers, Andrew Ng (Co-founder and Chairman of Coursera) and Hayden Brown (CEO of Upwork) provide their perspectives on the importance of this journey and how leaders can maximize their impact.

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In this course, learners will get hands-on experiences with GenAI within our live “playground” environment with private access to powerful large language models. You'll explore how GenAI can serve as a 'thought partner', enhancing critical areas of their role such as information synthesis, decision-making, and effective communication. Imagine having a partner who can help you sift through vast amounts of data, identify key insights, and aid in making strategic decisions. That's the promise of GenAI.
Finally, guest lecturers Jules White (Vanderbilt) and Andrew Ng (Stanford and DeepLearning.AI) will provide an executive summary of how Generative AI works as well as what it is capable and not capable of.
This course is part of the Navigating Generative AI for Leaders Specialization.

What you'll learn

  • Why GenAI is critically important for CEOs to understand
  • How to start your AI journey
  • What AI is and what it can do
  • How to go hands on with Generative AI to enhance your performance as a CEO

Syllabus

The role of the CEO in navigating GenAI
This short course introduces the transformative impact of Generative AI on businesses and the motivations for its implementation. It highlights the groundbreaking potential of Generative AI and the importance of swift adaptation. A key focus of this course is the exploration of how CEOs can use GenAI as a strategic thought partner, emphasizing critical thinking and providing practical exercises. The course concludes by explaining how Generative AI works, including the training of large language models and their capabilities and limitations.

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