How to become an AI Product Manager: A Beginner's Guideline

How to become an AI Product Manager: A Beginner's Guideline, available at $44.99, with 16 lectures, and has 1 subscribers.

You will learn about Understand the basics of Artificial Intelligence How to think as an AI Product Manager strategic frameworks Acquire the essential skills needed to become an AI Product Manager Learn the value of the AI industry with real business examples This course is ideal for individuals who are Product Managers who want to deep dive on the AI industry or Tech-engineers who want to become an AI PM or Students, employees looking for growth opportunities in the AI industry It is particularly useful for Product Managers who want to deep dive on the AI industry or Tech-engineers who want to become an AI PM or Students, employees looking for growth opportunities in the AI industry.

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Summary

Title: How to become an AI Product Manager: A Beginner's Guideline

Price: $44.99

Number of Lectures: 16

Number of Published Lectures: 16

Number of Curriculum Items: 16

Number of Published Curriculum Objects: 16

Original Price: €19.99

Quality Status: approved

Status: Live

What You Will Learn

Understand the basics of Artificial Intelligence
How to think as an AI Product Manager strategic frameworks
Acquire the essential skills needed to become an AI Product Manager
Learn the value of the AI industry with real business examples

Who Should Attend

Product Managers who want to deep dive on the AI industry
Tech-engineers who want to become an AI PM
Students, employees looking for growth opportunities in the AI industry

Target Audiences

Product Managers who want to deep dive on the AI industry
Tech-engineers who want to become an AI PM
Students, employees looking for growth opportunities in the AI industry

This course is designed for beginners, providing a comprehensive introduction to the role of an Artificial Intelligence (AI) Product Manager and the strategic thinking involved in building AI-driven products. Since AI has revolutionized our daily lives, the demand for AI-driven products has increased tremendously and with it the need for skilled AI PMs to step in and build innovative solutions that customers like.

Most people struggles with understanding the journey and specific steps of a PM, from ideation to the launch of a product. Therefore, this course is really focused on strategic thinking and the frameworks necessary to make a product successful.

Throughout the course, we will explore numerous real-world examples of AI products, gaining insights into how they are conceptualized, developed, and brought to market. We’ll guide you through the essential mindset and logical frameworks needed for success in this field.

By the end of this course, you will have a solid idea of what is an AI Product Manager, equipped with the knowledge and strategic insights needed to begin your journey in this exciting and rapidly evolving field.

This course is focused on a business-level understanding, making it accessible and valuable for anyone looking to break into AI Product Management. Note that no technical language or coding exercises will be covered in this course.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Course Overview – Introduction

Lecture 2: Practical example 1 – How should an AI PM think?

Lecture 3: Practical example 2

Lecture 4: What is Artificial Intelligence?

Lecture 5: Artificial Intelligence history line

Chapter 2: Understanding the Role of an AI Product Manager

Lecture 1: AI Product Manager responsibilities & skills

Lecture 2: Lesson 6. Companies applying AI

Lecture 3: Lesson 7. Examples of Companies applying AI

Lecture 4: Lesson 8. Should AI PMs be tech savvy?

Chapter 3: Essential AI skillset for AI Product Managers

Lecture 1: Lesson 9. Key AI concepts for PMs (I)

Lecture 2: Lesson 10. Key AI concepts for PMs II

Chapter 4: AI Product Development: From Concept to Launch

Lecture 1: How to build AI products: A standard approach for AI PMs

Lecture 2: How to leverage AI providers to build your own products

Chapter 5: AI in Real-World Applications and Strategic Frameworks

Lecture 1: AI in customer service: Real – world applications & strategic frameworks

Lecture 2: AI in new retail: Real – world applications & strategic frameworks

Lecture 3: Closing chapter: AI as an mindset

Instructors

Rong Ying
Product Manager

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Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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