AI Product Management
About this Specialization
Organizations in every industry are accelerating their use of artificial intelligence and machine learning to create innovative new products and systems. This requires professionals across a range of functions, not just strictly within the data science and data engineering teams, to understand when and how AI can be applied, to speak the language of data and analytics, and to be capable of working in cross-functional teams on machine learning projects.\\n\\nThis Specialization provides a foundational understanding of how machine learning works and when and how it can be applied to solve problems. Learners will build skills in applying the data science process and industry best practices to lead machine learning projects, and develop competency in designing human-centered AI products which ensure privacy and ethical standards. The courses in this Specialization focus on the intuition behind these technologies, with no programming required, and merge theory with practical information including best practices from industry. 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.Created by: Duke University

Related Online Courses
This course introduces administrative tasks that a system administrator can perform with Linux hosted on IBM Power servers. This includes virtualization concepts such as logical partitioning,... more
After a brief introduction, this course will first cover the on-going rational and challenges of worldwide sourcing. There were a lot of lesson learned as a result of Covid and the subsequent... more
Course Description: This course provides a comprehensive introduction to the key technologies driving Industry 4.0 in the manufacturing sector. It covers digital manufacturing, the Internet of... more
Design modern switched-mode power converters; create high-performance control loops around power converters; understand efficiency, power density and cost trade-offs\\n\\nBy 2030, 80% of all... more
This is a self-paced lab that takes place in the Google Cloud console. In this lab, you configure a network to record traffic to and from an apache web server using VPC Flow Logs. You then export... more