Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate

Name: Preparing for Google Cloud Certification: Cloud Data Engineer
Rating: 4.634610768861509 (7043 reviews)

Advance your career in data engineering

Instructor: Google Cloud Training

What you'll learn

Identify the purpose and value of the key Big Data and Machine Learning products in Google Cloud.
Employ BigQuery to carry out interactive data analysis.
Use Cloud SQL and Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud.
Choose between different data processing products on Google Cloud.

Skills you'll gain

Details to know

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Industry certification

Taught in English

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Advance your career with in-demand skills

Receive professional-level training from Google Cloud
Demonstrate your technical proficiency
Earn an employer-recognized certificate from Google Cloud
Prepare for an industry certification exam

Get exclusive access to career resources upon completion

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Interview prep
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Professional Certificate - 6 course series

Google Cloud Professional Data Engineer certification was ranked #1 on Global Knowledge's list of 15 top-paying certifications in 2021! Enroll now to prepare!

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

Here's what you have to do

1) Complete the Coursera Data Engineering Professional Certificate

2) Review other recommended resources for the Google Cloud Professional Data Engineer certification exam

3) Review the Professional Data Engineer exam guide

4) Complete Professional Data Engineer sample questions

5) Register for the Google Cloud certification exam (remotely or at a test center)

Applied Learning Project

This professional certificate incorporates hands-on labs using Qwiklabs platform.These hands on components will let you apply the skills you learn. Projects incorporate Google Cloud Platform products used within Qwiklabs. You will gain practical hands-on experience with the concepts explained throughout the modules.

Applied Learning Project

This Professional Certificate 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 Google BigQuery, which are used and configured within Qwiklabs. You can expect to gain practical hands-on experience with the concepts explained throughout the modules.

Google Cloud Big Data and Machine Learning Fundamentals

Course 19 hours4.6 (16,157 ratings)

What you'll learn

Identify the data-to-AI lifecycle on Google Cloud and the major products of big data and machine learning.
Design streaming pipelines with Dataflow and Pub/Sub and dDesign streaming pipelines with Dataflow and Pub/Sub.
Identify different options to build machine learning solutions on Google Cloud.
Describe a machine learning workflow and the key steps with Vertex AI and build a machine learning pipeline using AutoML.

Skills you'll gain

Category: Cloud Computing

Category: Google Cloud Platform

Category: Dataflow

Category: Data Processing

Category: Artificial Intelligence and Machine Learning (AI/ML)

Category: Machine Learning

Category: Applied Machine Learning

Category: Data Pipelines

Category: Machine Learning Software

Category: Real Time Data

Category: Data Engineering

Category: Data Integration

Category: Cloud Infrastructure

Category: Extract, Transform, Load

Category: Big Data

Category: Looker (Software)

Category: Databases

Category: Analytics

Category: Data Architecture

Category: Artificial Intelligence

Modernizing Data Lakes and Data Warehouses with Google Cloud

Course 28 hours4.7 (2,826 ratings)

What you'll learn

Differentiate between data lakes and data warehouses.
Explore use-cases for each type of storage and the available data lake and warehouse solutions on Google Cloud.
Discuss the role of a data engineer and the benefits of a successful data pipeline to business operations.
Examine why data engineering should be done in a cloud environment.

Skills you'll gain

Category: Data Architecture

Category: Data Management

Category: Data Engineering

Category: Big Data

Category: Public Cloud

Category: Google Cloud Platform

Category: Cloud Platforms

Category: Cloud Services

Category: Data Lakes

Category: Data Infrastructure

Category: Data Storage

Category: Cloud Solutions

Category: Information Management

Category: Data Processing

Category: Cloud Storage

Category: Multi-Cloud

Category: Data Warehousing

Category: Data Storage Technologies

Category: Cloud Infrastructure

Category: Databases

Building Batch Data Pipelines on Google Cloud

Course 317 hours4.5 (1,694 ratings)

What you'll learn

Review different methods of data loading: EL, ELT and ETL and when to use what
Run Hadoop on Dataproc, leverage Cloud Storage, and optimize Dataproc jobs
Build your data processing pipelines using Dataflow
Manage data pipelines with Data Fusion and Cloud Composer

Skills you'll gain

Category: Data Pipelines

Category: Data Integration

Category: Data Processing

Category: Data Engineering

Category: Real Time Data

Category: Google Cloud Platform

Category: Big Data

Category: Extract, Transform, Load

Category: Dataflow

Category: Public Cloud

Category: Apache Spark

Category: Data Architecture

Category: Apache Hadoop

Category: Data Infrastructure

Category: Cloud Storage

Category: Data Wrangling

Category: Cloud Infrastructure

Category: Multi-Cloud

Category: Data Transformation

Category: Data Mapping

Building Resilient Streaming Analytics Systems on Google Cloud

Course 47 hours4.6 (1,252 ratings)

What you'll learn

Interpret use-cases for real-time streaming analytics.
Manage data events using the Pub/Sub asynchronous messaging service.
Write streaming pipelines and run transformations where necessary.
Interoperate Dataflow, BigQuery and Pub/Sub for real-time streaming and analysis

Skills you'll gain

Category: Real Time Data

Category: Public Cloud

Category: Dataflow

Category: Google Cloud Platform

Category: Data Processing

Category: Cloud Computing

Category: Data Pipelines

Category: Cloud Services

Category: Big Data

Category: Multi-Cloud

Category: Cloud Applications

Category: Serverless Computing

Category: Data Architecture

Category: Data Storage Technologies

Category: Data Integration

Category: Live Streaming

Category: Data Engineering

Category: Extract, Transform, Load

Category: Data Infrastructure

Category: Data Storage

Smart Analytics, Machine Learning, and AI on Google Cloud

Course 56 hours4.6 (1,227 ratings)

What you'll learn

Differentiate between ML, AI and deep learning.
Discuss the use of ML API’s on unstructured data.
Execute BigQuery commands from notebooks.
Create ML models by using SQL syntax in BigQuery and without coding using Vertex AI AutoML.

Skills you'll gain

Category: Cloud Platforms

Category: Google Cloud Platform

Category: Public Cloud

Category: Cloud Services

Category: MLOps (Machine Learning Operations)

Category: Machine Learning

Category: Cloud Infrastructure

Category: Artificial Intelligence and Machine Learning (AI/ML)

Category: Applied Machine Learning

Category: Cloud API

Category: Cloud Applications

Category: Cloud Management

Category: Cloud-Based Integration

Category: Cloud Development

Category: Artificial Intelligence

Category: Data Analysis

Category: Analytics

Category: Cloud Solutions

Category: Multi-Cloud

Category: Business Analytics

Preparing for your Professional Data Engineer Journey

Course 64 hours4.6 (1,000 ratings)

What you'll learn

List the domains covered on the Professional Data Engineer (PDE) certification exam.
Identify gaps in your knowledge and skills for each domain.

Skills you'll gain

Category: Cloud Computing

Category: Cloud Services

Category: Google Cloud Platform

Category: Public Cloud

Category: Data Management

Category: Data Storage Technologies

Category: Data Processing

Category: Cloud Infrastructure

Category: Data Integration

Category: Data Engineering

Category: Data Storage

Category: Cloud Storage

Category: Big Data

Category: Databases

Category: Data Pipelines

Category: Data Architecture

Category: Cloud Engineering

Category: Systems Design

Category: Data Warehousing

Category: Data Maintenance

Instructor

Google Cloud Training

Google Cloud

1,711 Courses2,852,119 learners

Offered by

Google Cloud

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