Online Course – Google Cloud Certified Professional Certificate for Data Engineers

Advance your data engineering career with professional training based on advanced technologies.

Suggested by: Coursera (What is Coursera?)

Professional Certificate

Intermediate level

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Advancing your career in data engineering
  • Data-driven decision making
  • Data collection, conversion, and publication
  • Practical experience in Qwiklabs projects
  • Design, construction and operation of data processing systems
  • Running machine learning models
  • Google Cloud Professional Data Engineer Certification Exam Preparation
  • Solving sample test questions
  • Applying practical skills through Qwiklabs
  • Gain hands-on experience with Google BigQuery

What you will learn in the course

Courses for which the course is suitable

  • Data Engineer
  • Data Analyst
  • Data processing systems developer
  • Machine Learning Expert
  • Data Project Manager
  • Cloud Solutions Developer
  • Information Systems Analyst
  • Data Technology Consultant
  • Data Manager
  • Google Cloud Expert

Professional Certificate – Series of 3 Courses

The repository provides the skills needed for those interested in advancing their data engineering career and offers a pathway to the industry-recognized Google Cloud Professional Data Engineer certification. Through presentations, demos, and labs, you will drive data-driven decision-making by collecting, transforming, and publishing data; and you will gain hands-on experience through multiple Qwiklabs projects that you can share with potential employers.

The program will also teach you key job skills, including designing, building, and running data processing systems; and running machine learning models. For those interested in taking the exam, this program will provide sample questions similar to those on the exam, including solutions and practice tests that simulate the test experience.

Upon successful completion of the program, you will receive a certificate of completion that you can share with your professional network and potential employers. If you would like to earn your Google Cloud certification, you will need to register and pass the certification exam. Please note that the program helps prepare you with the skills required for the certification exam, but the certification and certification fees are not included in the cost of the program.

Hands-on Learning Project

This professional certification includes hands-on labs using our Qwiklabs platform.

These practical components will allow you to apply the skills you have learned in the video lectures. Projects will include topics such as Google BigQuery, which is used and configured within Qwiklabs. You can expect to gain hands-on experience with the concepts explained throughout the modules.

Details of the courses that make up the specialization

Google Cloud Big Data and Machine Learning Fundamentals

Course 1 • 9 hours • 4.7 (16,046 ratings)

Course Details

What will you learn?

  • Identify the data lifecycle for artificial intelligence (AI) in Google Cloud and the core big data and machine learning products.
  • Design streaming systems with Dataflow and Pub/Sub.
  • Identify different options for building machine learning solutions on Google Cloud.
  • Describe a machine learning workflow and key steps with Vertex AI and build a machine learning pipeline using AutoML.

Skills you will acquire

  • Category: Tensorflow
  • Category: Bigquery
  • Category: Google Cloud Platform
  • Category: Cloud Computing

Building Resilient Streaming Systems on GCP

Course 2 • 10 hours • 4.1 (15 ratings)

Course Details

What will you learn?

  • This course is a one-week fast-paced course based on the fundamentals of Google Platform’s big cloud data and machine learning.
  • Through video lessons, demonstrations, and hands-on labs, participants will learn how to create streaming data pipelines using Google Cloud Pub/Sub and Dataflow for real-time decisions.
  • Additionally, you will learn how to create dashboards to generate tailored responses for a variety of types of interested audiences.

Previous requirements:

  • Basic knowledge of big data and machine learning from Google Cloud (or equivalent experience)
  • Knowledge of Java

Goals:

  • Understand the use cases for real-time streaming analytics
  • Use Google Cloud Pub/Sub asynchronous messaging service to manage data events
  • Create streaming pipelines and perform conversions
  • Get to know both sides of a streaming pipeline: production and consumption
  • Working with Dataflow, BigQuery, and Cloud Pub/Sub for real-time streaming analytics

Preparation for the Professional Data Engineer course

Course 3 • 4 hours • 4.6 (997 ratings)

Course Details

What will you learn?

  • List the areas covered in the Professional Data Engineer (PDE) certification exam.
  • Identify gaps in your knowledge and skills in each area.