Managing Machine Learning Projects with Google Cloud, Certificate | Part time online | Coursera | United States
1 days
Duration
Free
Free
Unknown
Tuition fee
Anytime
Unknown
Apply date
Anytime
Unknown
Start date

About

If you have questions about machine learning and want to understand how to use it, without the technical jargon, this Managing Machine Learning Projects with Google Cloud course offered by Coursera in partnership with Google Cloud is for you. 

Visit the Visit programme website for more information

Overview

Business professionals in non-technical roles have a unique opportunity to lead or influence machine learning projects. 

At the Managing Machine Learning Projects with Google Cloud course offered by Coursera in partnership with Google Cloud, you learn how to translate business problems into machine learning use cases and vet them for feasibility and impact. Find out how you can discover unexpected use cases, recognize the phases of an ML project and considerations within each, and gain confidence to propose a custom ML use case to your team or leadership or translate the requirements to a technical team.

What you will learn

  • 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 and recognize key considerations for managing ML projects.

Programme Structure

Courses include:

  • Identifying business value for using ML
  • Defining ML as a practice
  • Building and evaluating ML models
  • Using ML responsibly and ethically
  • Discovering ML use cases in day-to-day business
  • Managing ML projects successfully

Key information

Duration

  • Part-time
    • 1 days

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • Beginner level
  • No previous experience necessary

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 1 days.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved.

Other interesting programmes for you

Our partners

Managing Machine Learning Projects with Google Cloud
-
Coursera

Wishlist

Go to your profile page to get personalised recommendations!