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ONLINE COURSE

AI-Driven Leadership

Strategies for the Future

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Navigating Leadership in the Age of Technology

In today's ever-changing digital environment, effective leadership requires a deep understanding of AI and its transformative potential. Leaders must apply AI-driven knowledge to enhance decision-making, increase operational efficiency, improve customer experience, and maintain a competitive advantage. They must also lead their teams to a new level of understanding to harness the full potential of AI-driven organizations. To address these needs, Stanford Online has developed a comprehensive curriculum focused on the intersection of leadership and artificial intelligence.

95%

of respondents answered that AI has the potential to power better leadership decisions Source: IBM Survey- Leadership in the Age of AI
Source: IBM Survey- Leadership in the Age of AI

67%

of survey participants marked that they expect their organizations to invest more in AI in the next three years.
Source: McKinsey Survey- The State of AI In Early 2024

$300Billion

is the predicted worldwide revenue for the AI market in 2024.
Source: the International Data Corporation (IDC)

  • Explore the AI-driven decision-making process and its real-world industry applications.

  • Explain how the implementation of AI technologies will support specific business objectives, enhance operational efficiency, drive innovation, and achieve strategic goals.

  • Gain the ability to design, organize, and assess the development of algorithmic capabilities.

Who is this online course for?

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Mid to Senior-Level Executives including CEOs, CTOs, and leaders with decision-making authority who want to integrate artificial intelligence into their organizations.

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Digital Transformation Managers and other managers leading organizational digital initiatives who seek to adapt their leadership capabilities for the digital era.

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Entrepreneurs and business owners looking to implement AI strategies in their businesses.

Past Participant Profiles

Work Experience

Past participant profile - Work Experience

Top Industries

Past participant profile - Industry - SEO

Top Profiles

Past participant profile - Top Profiles

* Familiarity with the human-centered design process is helpful.

Course Outline

  • Illustrate leadership activities that foster effective implementation of predictive analytics tools and how they influence team members' adoption and utilization of these tools.

  • Assess current frameworks, organizational structures, and evaluation methods for predictive analytics.

  • Develop a new framework, propose a novel organizational structure for AI implementation, and outline innovative evaluation procedures for AI initiatives.

  • Describe differences between predictive analytics and generative AI, including differing risks and opportunities.

  • Summarize leaders’ activities that foster effective generative AI implementation and how they shape team members’ adoption and use of these tools.

  • Evaluate existing framing, structuring, and evaluation schemes for generative AI.

  • Create new framing for a genAI strategy, draw up a new proposal for AI structuring, and define new AI evaluation processes.

  • Evaluate your current organizational data culture, focusing on issues related to data quality, misuse, silos and integration, and governance.

  • Assess organizational data readiness for generative AI.

  • Formulate a governance and compliance framework for sustaining high-quality, well-governed data.

  • Discover the different ways that ML workflows are configured.

  • Predict when a change process or tool is likely to produce resistance or adoption.

  • Plan or design an ML workflow.

  • Understand the different ways in which generative AI workflows are configured.

  • Recognize essential evaluation practices for generative AI workflows.

  • Plan or design a generative AI workflow.

  • Examine how managers are using AI to design organizations, focusing on AI’s role in decision-making, structuring information flows, and coordinating resources.

  • Describe the risks and opportunities associated with algorithmic management.

  • Conceptualize a tool to aid in an organizational or managerial function.

Program Walkthrough

ICON - STF - Live

Live sessions with faculty

ICON - STF - Time

Manageable time investment (4-6 hours/week)

ICON - STF - Apply Learnings

Assignments for you to apply learnings to your own product, organization, or idea

ICON - STF - Real-world

Real-world case studies and industry examples

ICON -STF -feedback

Feedback on select assignments to ensure understanding of the program material

ICON - STF - certificate

Certificate of Achievement from Stanford Online

Instructor

STF-Faculty-Michael-Bernstein.webp
Melissa Valentine

Associate Professor of Management Science and Engineering, Stanford University

Melissa Valentine is an Associate Professor at Stanford University in the Department of Management Science & Engineering. Professor Valentine studies how technology is transfo...

Certificate of Achievement from Stanford Online

Certificate of Achievement from Stanford Online

All learners who successfully complete this course will receive a Stanford Online Certificate of Achievement. In addition, they will also earn 4 Continuing Education Units.

To obtain CEUs, complete the accreditation confirmation, which is available at the end of the course. CEUs are calculated for each course based on the number of learning hours.

Learners feedback

I'm excited to be leading at a time when AI is reshaping our world. The focus on human-centered leadership during this technological shift was invaluable, and I'm confident the insights I gained in th...
Frank Lieber
CEO, Co-founder
AIvolve Leadership Dynamics GmbH
This course gave me an opportunity to systematically learn how to apply ML/AI at work as a leader. The academic approach of teaching by showing evidence with almost unfiltered and very recent real wor...
Weijuan Davis
Sr. Manager/GenAI Architect,
Capgemini
The AI-driven leadership course offered a profound exploration of how leaders can effectively integrate and harness AI within an organizational context. It wasn’t just about understanding AI technolog...
Chhavi Saxena
Senior Lead Developer,
SAP SuccessFactors

FAQs

Studying online with us extends past a strictly digital learning experience. With Stanford Online, you’ll have the chance to:

  • Attend international workshops and live webinars.

  • Collaborate and engage with Stanford professors, instructors, and contributors.

  • Meet and network with other program participants from all over the globe.

All learners who successfully complete the course will be awarded a Stanford Online Certificate of Achievement, officially recognizing their mastery of the course material. This certificate serves as a testament to their dedication and expertise in the subject matter and can be used to enhance their professional credentials and career opportunities. The Certificate of Achievement for an individual course will be issued in a digital badge format, verified on the blockchain.

Didn't find what you were looking for? Schedule a call with one of our Global Alumni Program Advisors or call us at +1 315 871 5140

Leading with AI: Strategy and Product Design

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