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Building an Enterprise AI Portfolio

AI initiatives often lack consistent evaluation and coordination. This course will teach you how to establish, evaluate, and continuously adapt a practical enterprise AI portfolio.

Beginner
53m

Created by Tommy van Schaik

Last Updated Nov 10, 2026

Course Thumbnail
  • Course

Building an Enterprise AI Portfolio

AI initiatives often lack consistent evaluation and coordination. This course will teach you how to establish, evaluate, and continuously adapt a practical enterprise AI portfolio.

Beginner
53m

Created by Tommy van Schaik

Last Updated Nov 10, 2026

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What you'll learn

AI projects pop up all over an organization, but without a shared way to find, judge, and track them, it’s hard to know which ones are paying off. In this course, Building an Enterprise AI Portfolio, you'll gain the ability to establish and manage a practical, continuously evolving AI investment portfolio. First, you'll explore how to establish visibility into existing AI initiatives and create a continuous pipeline for identifying new opportunities. Next, you'll discover how to evaluate opportunities, determine whether AI is appropriate, and compare potential investments using consistent criteria and testable assumptions. Finally, you'll learn how to balance investments, distribute work across the organization, and adapt portfolio decisions based on emerging evidence and lessons learned. When you're finished with this course, you'll have the skills and knowledge needed to establish and progressively improve an enterprise AI portfolio that supports informed investment decisions and continuous innovation.

Building an Enterprise AI Portfolio
Beginner
53m
Table of contents

About the author
Tommy van Schaik - Pluralsight course - Building an Enterprise AI Portfolio
Tommy van Schaik
82 courses 4.4 author rating 1654 ratings

Tommy van Schaik spent most of his academic and professional career as a linking pin between business and IT. His focus areas are: project management, IT governance, business processes, IT architecture, requirement engineering, and business rules.

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