Machine Learning and AI for Business Leaders

Overview

The goal of the Machine Learning and AI for Business Leaders course is to equip business leaders and senior decision-makers with the foundational knowledge needed to assess, lead, and support AI/ML initiatives in their organizations. Unlike more technical or product-focused programs, this course focuses on strategic understanding, evaluation, and organizational alignment—helping leaders build confidence, avoid pitfalls, and champion responsible and effective AI/ML use.

Syllabus

• Introduction to Machine Learning and AI for Business
Learn what AI and ML can do for your business, how to spot good use cases, and how to talk confidently about these technologies with your team.
• Demystifying ML Models
Learn how machine learning drives business value, how to evaluate models, avoid common pitfalls, and align ML solutions with real business goals.
• Implementing ML and AI in the Real World
Learn what it takes to turn AI ideas into business impact—data readiness, ethics, system choices, risks, and the practical steps to implement and scale AI successfully.
• Scaling and Leading with Machine Learning and AI
Move from individual projects to a strategic AI vision. Learn how to build roadmaps, align stakeholders, and lead responsibly at scale.
• Zap! Accelerating from Gas to Electric with Machine Learning
Write a plan to get real business value from ML. Consider technical and human alternatives, select the best model for the task, identify the data you'll need, and analyze risks and mitigations.

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Taught by

Jasmine Lawrence Campbell, Anurag Srivastava and Brad Nemer

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Subjects

Computer Science