50% Off Google Cloud Professional Data Engineer Certification Course | Udemy Review & Coupon

Acquire proficiency in Google Cloud for Data Engineering and get ready for the Certification Exam.

This course covers:

The Google Cloud Professional Data Engineer Certification Course provides 10.5 hours of ondemand video, 2 articles, and 1 practice test to help you prepare for the Google Cloud Professional Data Engineer certification exam. With full lifetime access and the ability to access the course via mobile and TV, this comprehensive course will provide you with all the knowledge necessary to pass the certification exam.

What you'll learn

Discover the essential requirements to successfully pass the Google Cloud Professional Data Engineer Certification Exam.

Google Cloud Tools can be used to design data processing systems.

Prepare machine learning models for deployment.

Discover the basics of Big Data and Machine Learning.

Learn how to effectively utilize Google Cloud SQL and Spark.

Acquire the skill of utilizing BigQuery ML for making predictions.

One can create real-time IoT dashboards using DataFlow and Data Studio.

Acquire the knowledge of utilizing ML Google Cloud APIs, including Vision API and AutoML.

Create data storage solutions on Google Cloud using both data lakes and data warehouses.

DataFlow can be used for serverless data processing with Apache Beam.

Gain an understanding of the Google Cloud Platform Console.

Google Compute Engines allows for the creation of virtual machines.

About the author

Jose Portilla holds a Bachelor's and Master's degree in Mechanical Engineering from Santa Clara University and has extensive experience as an instructor and trainer in Data Science, Machine Learning, and Python Programming. He has publications and patents in a range of fields, including microfluidics, materials science, and data science. Throughout his professional journey, he has honed his analytical skills and aspires to impart his expertise in data science and programming to others, equipping them with the ability to analyze and present data effectively through visualizations. He currently holds the position of Head of Data Science at Pierian Training. He offers in-person training courses on data science and python programming to employees of prominent companies such as General Electric, Cigna, SalesForce, Starbucks, McKinsey, and others. For further details on training opportunities, please refer to the website link.

Requirements

To participate in demo labs and assignments, a Google Cloud Account is necessary.

The individual has a level of experience with Google Cloud Platform.

Description

This course is a comprehensive tool for learning how to utilize Google Cloud in order to successfully pass the Professional Data Engineer Certification Exam.

Google Cloud has experienced significant growth, with a YoY increase of almost 50%, surpassing the overall growth rate of the cloud industry. Google's data and machine learning offerings are among the most advanced in the cloud industry, making it a valuable field to develop skills in due to high demand.

This course will instruct you in the process of making data-driven decisions through the collection, transformation, and publication of data. This course will teach you how to utilize Google Cloud to create, implement, and manage data systems that are capable of operating at the same scale as Google.

This course is intended for:

Individuals seeking to obtain the Professional Data Engineer Certification offered by Google Cloud.