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

Explanation

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

And companies are struggling to find talent who can manage the implementation of big data products and AI systems. In this context, the product manager serves as a bridge between business needs and technology-oriented data science and AI staff. Organizations are looking for people like you to rise to the challenge of leading their business in this exciting new trend. The course is designed in a beginner-friendly way. Even if you’re new to data science and AI or have no prior product management experience, we’ll get you up to speed on the first few chapters. We’ll start with an introduction to AI product management and data. You will learn what the role of a product manager is and the differences between a product and a project manager.

What will you learn?

This course provides a comprehensive overview for the product manager in the field of data science and AI
Learn how to be the bridge between business needs and technology-oriented data science and AI workers
Learn what the role of a product manager is and the differences between a product and a project manager
Differentiate between data analysis and data science
Be able to tell the difference between algorithm and AI
Distinguish between different types of machine learning
Implement a business strategy for AI and Data
Do a SWOT analysis
Learn how to build and test hypotheses
Get hands-on AI user experience and data science skills
Data from your projects and understand how this data needs to be managed.
Learn the full life cycle of an AI or data science project for a company

Who is this course for?

You should take this course if you want to become a Product Manager or if you want to study in the field of AI and Data Science
This course is for you if you want a great career
The course is also suitable for beginners, as it starts with the basics and gradually builds your skills.