Google Cloud
Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate
Google Cloud

Preparing for Google Cloud Certification: Cloud Data Engineer Professional Certificate

Advance your career in data engineering

Taught in English

85,814 already enrolled

Included with Coursera Plus

Professional Certificate - 6 course series

Earn a career credential that demonstrates your expertise

4.6

(6,883 reviews)

Intermediate level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Learn at your own pace

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.

Details to know

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Add to your LinkedIn profile

Industry certification

Professional Certificate - 6 course series

Earn a career credential that demonstrates your expertise

4.6

(6,883 reviews)

Intermediate level

Recommended experience

1 month at 10 hours a week
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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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
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Get exclusive access to career resources upon completion

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    Practice your skills with interactive tools and mock interviews

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¹Based on Coursera learner outcome survey responses, United States, 2021.

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Earn a career certificate

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Professional Certificate - 6 course series

Google Cloud Big Data and Machine Learning Fundamentals

Course 19 hours4.7 (15,916 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: Tensorflow
Category: Bigquery
Category: Google Cloud Platform
Category: Cloud Computing

Modernizing Data Lakes and Data Warehouses with Google Cloud

Course 28 hours4.7 (2,767 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.

Building Batch Data Pipelines on Google Cloud

Course 317 hours4.5 (1,666 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

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

Smart Analytics, Machine Learning, and AI on Google Cloud

Course 56 hours4.6 (1,202 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.

Preparing for your Professional Data Engineer Journey

Course 66 hours4.6 (991 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.

Instructor

Google Cloud Training
Google Cloud
1,293 Courses2,431,887 learners

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Google Cloud

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