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Practical Project Management for Machine Learning Projects
Rating: 3.8 out of 5(95 ratings)
246 students

Practical Project Management for Machine Learning Projects

Specific Challenges and Best Practices for Managing Machine Learning Projects
Created byZorina Alliata
Last updated 6/2018
English

What you'll learn

  • Successfully deliver Machine Learning projects.

Course content

1 section7 lectures36m total length
  • Course Description1:26
  • Introduction to Machine Learning for Project Managers6:07
  • Specific Machine Learning Challenges: Project Initiating7:46
  • Specific Machine Learning Challenges: Project Planning10:02
  • Specific Machine Learning Challenges: Project Executing5:03
  • Specific Machine Learning Challenges: Project Monitoring3:28
  • Specific Machine Learning Challenges: Project Closing3:00

Requirements

  • Project Management, Agile

Description

The last few years have seen a meteoric rise in disciplines related to using and exploring large quantities of data (Big Data), such as Artificial Intelligence and the Internet of Things. A part of the Artificial Intelligence domain, Machine Learning and Data Science in particular took hold in many corporations and started impacting the business outcomes. In turn, IT Project Managers are suddenly facing a different type of project they are asked to manage: the Machine Learning project.

This course is addressed to experienced IT Project Managers who want to understand how to manage Machine Learning projects, what are the specific challenges they will face, and what are some best practices to help them successfully deliver business value.

Who this course is for:

  • This course is addressed to experienced IT Project Managers who want to understand how to manage Machine Learning projects, what are the specific challenges they will face, and what are some best practices to help them successfully deliver business value.