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Managing Machine Learning Projects with Google Cloud

A self-paced course designed and organised by Google Cloud training that will permit you to learn how to translate business problems into machine learning use cases and vet them for feasibility and impact. If you want to learn how to utilise machine learning in an easy way, without all the technical jargon and have questions about it, this course is for you. The course is aimed especially at non-technical business professionals who wants to lead or influence machine learning projects in their organisations and enterprises.

What will you learn in this course?

In this course you will learn  how to identify the phases of an ML project and the factors that go into each one, as well as how to find unexpected use cases. Students will rapidly gain the confidence to present a unique ML use case to their team or leadership or translate the needs to a technical team.

In particular, participants enrolling in this course will learn how to:

  • assess the feasibility of your own ML use case and its ability to meaningfully impact your business;
  • identify the requirements to build, train, and evaluate an ML model;
  • define data characteristics and biases that affect the quality of ML models;
  • recognize key considerations for managing ML projects.

The course is self-paced with flexible deadlines according to your schedule, and it takes approximately 14 hours to be completed.

The course is part of the Digital Transformation Using AI/ML with Google Cloud Specialization, also offered by Google Cloud Training.

Training Offer Details

Target audience
Digital skills for all
Digital technology / specialisation
Digital skill level
Geographic scope - Country
Industry - field of education and training
Information and Communication Technologies (ICTs) not further defined
Target language
Geographical sphere
International initiative
Typology of training opportunties
Learning activity
e-learning coursework
Assessment type
Training duration
Is this course free
Is the certificate / credential free
Part time light
Self-paced course