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Managing Machine Learning Projects Certificate Course

Start your journey of learning all about managing machine learning by enrolling in the Managing Machine Learning Projects Certification Program.

Duke University

Course Overview

This second course in Duke University's Pratt School of Engineering's AI Product Management Specialisation emphasizes the practical aspects of managing machine learning projects. The course covers all of the essential phases of a machine learning project, including how to spot promising ML possibilities, gather data, create models, deploy them, and monitor and maintain production systems.

The data science method, how to use it to structure machine learning endeavours, and the crucial choices and concerns in machine learning system design will all be covered by participants.

The objectives of this course are to teach students how to use machine learning (ML) to address user problems, how to use data science to organise ML projects, how to assess important technology choices made during ML system design, and how to utilise best practices to guide ML projects from conception to completion.

What you'll learn

  • Modelling
  • Project Management
  • Machine Learning

Requirements

  • Basic knowledge of managing machine learning.
  • A computer or laptop with internet connectivity.
  • Learn all about Managing Machine Learning in eighteen hours.
  • Flexible work schedule.

AccessTo Career Resources with Managing Machine Learning Projects Certificate Course

Enroll Free
Course

Enhanced Employability:

An outstanding Managing Machine Learning Projects Certificate that increases your chances of landing the best jobs.

Course

Competitive Advantage:

An opportunity to stand out from the competition and make a more significant impression on potential employers.

Course

Skill Validation:

Robust validation of your Managing skills confirms that you can complete all Machine Learning-related tasks.

Course

Networking Opportunities:

The Managing Machine Learning Projects Certificate course provides ample networking opportunities for participants. Learners can connect with classmates and industry professionals through cooperative exercises, group discussions, and interactive seminars.

Course

4.8 Course (153 reviews)

Beginner level

Beginner

Duration

1-4 Weeks

Earn certificate credit

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