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

98,475 already enrolled

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Earn a career credential that demonstrates your expertise
4.6

(7,021 reviews)

Intermediate level

Recommended experience

1 month
at 10 hours a week
Flexible schedule
Learn at your own pace
Earn a career credential that demonstrates your expertise
4.6

(7,021 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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Taught in English

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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Professional Certificate - 6 course series

Google Cloud Big Data and Machine Learning Fundamentals

Course 19 hours4.7 (16,128 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 (2,822 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 (1,689 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 (1,222 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.

Preparing for your Professional Data Engineer Journey

Course 64 hours4.6 (999 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
1,675 Courses2,771,785 learners

Offered by

Google Cloud

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Frequently asked questions

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