Udemy – The Product Management for AI & Data Science Course 2023 2020-11

Published on: 2023-04-01 22:02:03

Categories: 28

Descriptions

The Product Management for AI & Data Science Course 2023 This course gives you a fairly unique opportunity. You will have the chance to learn from somebody who has been in the industry and who has actually seen AI & data science implemented at the highest level. Your instructor, Danielle Thé, is a Senior Product Manager for Machine Learning with a Master’s in Science of Management, and years of experience as a Product Manager, and Product Marketing Manager in the tech industry for companies like Google and Deloitte Digital. From security applications to recommendations engines, companies are increasingly turning to big data and artificial intelligence to improve their operations and product offerings. In the past 4 years alone, organizational adoption of AI has grown 270%.

And companies are scrambling to find the talent that can manage the product implementation of big data and AI systems. In this context, a product manager serves as the bridge between business needs and technically oriented data science and AI personnel. Organizations are looking for people like you to rise to the challenge of leading their business into this new and exciting change. The course is structured in a beginner-friendly way. Even if you are new to data science and AI or if you don’t have prior product management experience, we will bring you up to speed in the first few chapters. We’ll start off with an introduction to product management for AI and data. You will learn what is the role of a product manager and what is the difference between a product and a project manager.

What you’ll learn

This course provides a complete overview for a product manager in the field of data science and AI
Learn how to be the bridge between business needs and technically oriented data science and AI personnel
Learn what is the role of a product manager and what is the difference between a product and a project manager
Distinguish between data analysis and data science
Be able to tell the difference between an algorithm and an AI
Distinguish different types of machine learning
Execute business strategy for AI and Data
Perform SWOT analysis
Learn how to build and test a hypothesis
Acquire user experience for AI and data science skills
Source data for your projects and understand how this data needs to be managed
Examine the full lifecycle of an AI or data science project in a company

Who this course is for

You should take this course if you want to become a Product Manager or if you want to learn about the field of AI and Data Science
This course is for you if you want a great career
The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills