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

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Course Features

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Duration

4 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

5 hours per week

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Teaching Type

Self Paced

Course Description

87% of Google Cloud users feel more confident in their cloud skills. This program will improve your career and provide training to support your preparation for the Google Cloud Professional Data Engineer certification. These are the steps: 1) Take the Coursera Data Engineering Professional Certificate
2) You can also check out the recommended resources for the Google Cloud Professional Data Engineer exam
3. Go through the Professional Data Engineer exam guide
Questions for Professional Data Engineers
Register now to take the Google Cloud certification test remotely or at a testing centre
Applied Learning Project
This professional certificate also includes hands-on training with Qwiklabs platform. These projects include products from Google Cloud Platform, which are used in Qwiklabs. The modules will allow you to practice the concepts in a practical way.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Analyze big data at scale with BigQuery.

Describe a machine learning workflow and the key steps with Vertex AI.

Identify different options to build machine learning solutions on Google Cloud.

Recognize the data-to-AI lifecycle on Google Cloud and the major big data and machine learning products.

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