Published on: 2024-02-12 00:57:53
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AI Product Management Specialization is a collection of product training and projects on artificial intelligence and machine published by Coursera Online University. Managing the design and development of products based on scientific skills is very valuable and can provide numerous career opportunities. Getting to know the potentials and capabilities of different machines and using their different algorithms to solve real challenges and problems is one of the most important topics discussed in this educational series. To manage machine and artificial intelligence based projects on a set of different topics such as data science processes and processes, human product development using artificial intelligence, ethical codes and most importantly familiarity with safety and privacy standards. you have.
Different companies and institutions around the world are using artificial intelligence and machine to create innovative and new products and most importantly to update the production line, systems and supply chain. The world of machine and artificial intelligence has developed more and more specialized sub-fields have emerged in each of these fields, and development teams need relative mastery in different sub-fields to succeed in the future.
Publisher: Coursera
Instructors: Jon Reifschneider
Language: English
Level: Beginner
institution/university: Duke University
Number of Courses: 3
Duration: 4 months at 5 hours a week
Professionals and aspiring professionals from a diverse range of industries and functions, including product managers and product owners, engineering team leaders, executives, analysts and others will find this program valuable. No prior programming or other pre-requisites are required for participation.
After Extract, watch with your favorite Player.
English subtitle
Quality: 720p
This Specialization contain 3 courses.
Version 2024/2 compared to 2022/10 has not changed in lessons and duration. But 19 text files have been added.
Machine Learning Foundations for Product Managers
Managing Machine Learning Projects
Human Factors in AI
In total, about 2.19 GB
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