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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

Who gives the team clarification on what the goals of the project are and what is important?

Who gives the team clarification on what the goals of the project are and what is important?

**(True or False)** The product owner is not accountable to the management team.

(True or False) The product owner is not accountable to the management team.

**(True or False)** The AI team should be a Scrum team.

(True or False) The AI team should be a Scrum team.

**(True or False)** At least one data scientist, a data engineer, a machine learning developer, and someone from the platform support team are usually included on the Scrum team.

(True or False) At least one data scientist, a data engineer, a machine learning developer, and someone from the platform support team are usually included on the Scrum team.

Let’s find out what you have learned about the basics of the project team.

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Quiz: Basics of Project Team