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Google Certified Professional Data Engineer

A Cloud Guru

Hello Cloud Gurus! Data management, data analytics, machine learning and artificial intelligence are all hot topics. And who does these better than Google? Our Google Certified Professional Data Engineer course will help prepare you for the certification exam so you can take that next step in your Cloud career and demonstrate your proficiency in one of the most in-demand disciplines in the industry today. The primary focus of this course is to prepare you for the GCP Professional Data Engineer certification exam. Along the way you’ll solidify your foundations in data engineering and machine learning, ensuring that by the end of the course you will be able to design and build data processing solutions, operationalize machine learning models and gain a working knowledge of relevant GCP data processing tools and technologies. This course will teach you how to: * Design, build and operationalize data solutions * Process data streams in real-time * Efficiently store and access data in the cloud * Use the GCP pre-trained AI APIs (vision, speech and text) * Train and operationalize ML models. The Google Cloud Professional Data Engineer is for data scientists, solution architects, devops engineers and anyone wanting to move into machine learning and data engineering in the context of Google. Students will need to have some familiarity with the basics of GCP, such as: storage, compute and security; some basic coding skills (like Python); and a good understanding of databases. You do not need to have a background in data engineering or machine learning, but some experience with GCP is essential. This is an advanced certification and we strongly recommend that students take the Google Certified Associate Cloud Engineer exam before embarking on this course. However, anyone who is motivated and wants to understand how big data and machine learning is done on GCP will still find value with this course. Keep being awesome, Cloud Gurus!

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Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Possibilities are explored in machine learning and big data applicable to GCP

Best suited to students with GCP experience

Provides certification in Professional Data Engineering

Taught by A Cloud Guru, recognized for their work in this field

Intended for those experienced in GCP and data engineering

Relevant to solution architects, devops engineers, and data scientists

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Career center

Learners who complete Google Certified Professional Data Engineer will develop knowledge and skills that may be useful to these careers:

Data Engineer

A Data Engineer designs, builds, and operationalizes data solutions. They process data streams in real-time, efficiently store and access data in the cloud, and use the GCP pre-trained AI APIs (vision, speech and text) to train and operationalize ML models. This course helps build a foundation in data engineering and machine learning, ensuring that by the end of the course you will be able to design and build data processing solutions, operationalize machine learning models and gain a working knowledge of relevant GCP data processing tools and technologies.

See salaries and explore the career path for Data Engineer

Machine Learning Engineer

A Machine Learning Engineer uses the GCP pre-trained AI APIs (vision, speech and text) to train and operationalize ML models. This course helps build a foundation in data engineering and machine learning, ensuring that by the end of the course you will be able to design and build data processing solutions, operationalize machine learning models and gain a working knowledge of relevant GCP data processing tools and technologies.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

A Data Scientist uses the knowledge of data engineering and machine learning to design and build data processing solutions, operationalize machine learning models and gain a working knowledge of relevant GCP data processing tools and technologies.

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Solution Architect

A Solution Architect designs and builds data processing solutions. This course may be useful to develop the skills needed in this role, such as data engineering, machine learning, and the use of GCP pre-trained AI APIs.

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DevOps Engineer

A DevOps Engineer operationalizes machine learning models. This course may be useful to develop the skills needed in this role, such as data engineering, machine learning, and the use of GCP pre-trained AI APIs.

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Data Analyst

A Data Analyst processes data streams in real-time and efficiently stores and accesses data in the cloud. This course may be useful to develop the skills needed in this role, such as data engineering and the use of GCP pre-trained AI APIs.

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Cloud Engineer

A Cloud Engineer designs, builds, and operationalizes data solutions. This course may be useful to develop the skills needed in this role, such as data engineering and the use of GCP pre-trained AI APIs.

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Systems Engineer

A Systems Engineer designs, builds, and operationalizes data solutions. This course may be useful to develop the skills needed in this role, such as data engineering and the use of GCP pre-trained AI APIs.

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Database Administrator

A Database Administrator efficiently stores and accesses data in the cloud. This course may be useful to develop the skills needed in this role, such as data engineering and the use of GCP pre-trained AI APIs.

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Security Engineer

A Security Engineer designs, builds, and operationalizes data solutions. This course may be useful to develop the skills needed in this role, such as data engineering and the use of GCP pre-trained AI APIs.

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Network Engineer

A Network Engineer efficiently stores and accesses data in the cloud. This course may be useful to develop the skills needed in this role, such as data engineering and the use of GCP pre-trained AI APIs.

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Software Engineer

A Software Engineer designs, builds, and operationalizes data solutions. This course may be useful to develop the skills needed in this role, such as data engineering and the use of GCP pre-trained AI APIs.

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Web Developer

A Web Developer designs, builds, and operationalizes data solutions. This course may be useful to develop the skills needed in this role, such as data engineering and the use of GCP pre-trained AI APIs.

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Data Management Analyst

A Data Management Analyst efficiently stores and accesses data in the cloud. This course may be useful to develop the skills needed in this role, such as data engineering and the use of GCP pre-trained AI APIs.

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Business Analyst

A Business Analyst designs, builds, and operationalizes data solutions. This course may be useful to develop the skills needed in this role, such as data engineering and the use of GCP pre-trained AI APIs.

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Reading list

We've selected 12 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Google Certified Professional Data Engineer.

Deep Learning