About

This Data Engineering, Big Data, and Machine Learning on GCP Specialization offered by Coursera in partnership with Google Cloud provide the skills you need to advance your career and provides training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification.

Overview

87% of Google Cloud certified users feel more confident in their cloud skills.

Here's what you have to do

Complete the Coursera Data Engineering Professional Certificate
Review other recommended resources for the Google Cloud Professional Data Engineer certification exam
Review the Professional Data Engineer exam guide
Complete Professional Data Engineer sample questions
Register for the Google Cloud certification exam (remotely or at a test center)

This professional Data Engineering, Big Data, and Machine Learning on GCP Specialization offered by Coursera in partnership with Google Cloud incorporates hands-on labs using Qwiklabs platform.These hands on components will let you apply the skills you learn. Projects incorporate Google Cloud products used within Qwiklabs. You will gain practical hands-on experience with the concepts explained throughout the modules.

Applied Learning Project

This Specialization incorporates hands-on labs using our Qwiklabs platform.

These hands on components will let you apply the skills you learn in the video lectures. Projects will incorporate topics such as BigQuery, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.

Programme Structure

Courses include:

Google Cloud Platform Big Data and Machine Learning

Modernizing Data Lakes and Data Warehouses with GCP

Building Batch Data Pipelines on GCP

Building Resilient Streaming Analytics Systems on GCP

Smart Analytics, Machine Learning, and AI on GCP

Key information

Duration

Part-time
- 1 months
- 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Self-paced

Campus Location

Mountain View, United States

Disciplines

Computer Sciences Data Science & Big Data Machine Learning View 523 other Short Courses in Computer Sciences in United States

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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

Intermediate Level

Some related experience required.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

Free
Out-of-State

Free

Additional Details

Audit: free access to course materials except graded items
Certificate: a trusted way to showcase your skills
A year of unlimited access with Coursera Plus $199

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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Data Engineering, Big Data, and Machine Learning on GCP Coursera