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The world is being transformed by artificial intelligence (AI). Many businesses and industries are implementing this technology to improve predictability, streamline processes, and stay ahead of the competition. But introducing AI software and practices isn’t always easy.

In this course, you will learn how to successfully integrate AI into any organization. You’ll learn how to determine whether your organization could fully benefit from AI, as well as the technical capabilities necessary for deployment. You’ll learn how to perform business analysis and present a case for implementation.

Further, you’ll learn project management best practices to help install AI successfully. You’ll use the Scrum framework to build and deploy AI and to maintain the system when in production to collect data and model scenarios.

AI Project Management: Deploying and Maintaining AI for Business

What does our AI project team look like? The product owner works with a business analyst, and they perform the following tasks:

- They receive sponsorship from the management team and are in charge of determining the priorities for the AI team and the results that are acceptable for the business.

- In collaboration with the Scrum Master and the data scientists, they provide all project updates to the management team.


Let’s learn about the different roles that make up an AI project team.

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Overview of the Project Team