Google Cloud Big Data and Machine Learning Fundamentals, Certificate | Part time online | Coursera | United States
1 days
Duration
Free
Free
Unknown
Tuition fee
Anytime
Unknown
Apply date
Anytime
Unknown
Start date

About

This Google Cloud Big Data and Machine Learning Fundamentals course offered by Coursera in partnership with Google Cloud introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. 

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Overview

Key Features

The Google Cloud Big Data and Machine Learning Fundamentals course offered by Coursera in partnership with Google Cloud explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

Programme Structure

Courses include:

  • Big Data and Machine Learning on Google Cloud

  • Data Engineering for Streaming Data

  • Big Data with BigQuery

  • Machine Learning Options on Google Cloud

  • The Machine Learning Workflow with Vertex AI

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. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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