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AI Product Manager: Roles, Skills, and Responsibilities

Beginner level 1.5 learning hrs

AI Product Manager: Roles, Skills, and Responsibilities

Beginner level 1.5 learning hrs
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Skills you will gain

AI Product Manager Responsibilities

AI Integration

Lifecycle Management

Stakeholder Interaction

Data Privacy

Data Visualization

Prototyping

Customer Feedback

Version Control

+4 More

Key Highlights

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Master in-demand skills & tools

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About this course

In this course, an introduction to AI product manager position is discussed along with its tasks and skills. It also helps in understanding the difference between traditional methods and AI product Management along with integration of AI, life cycle management, and integration with stakeholder. It also helps with understanding key tools, ML environments, prototyping, visualization of data, ethical considerations needed for data security and confidentiality.

Course outline

Who is an AI Product Manager?

This module focuses on the definition and importance of an AI product manager, responsibilities, skills and it also explains how AI product Management is different from traditional methods.

AI Product Manager Toolkit-Essential Platforms and Tools

This module covers the most essential tools and skills, and discusses customer feedback analysis, version control, cloud services, APIs, and performance monitoring to improve AI product performance.

Ethical Considerations for AI Product Managers

In this module, you will learn the ethical issues and obligations of an AI product manager in relation to data privacy and security.

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AI Product Manager: Roles, Skills, and Responsibilities

1.5 Hours

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