Online Course – Google Cloud Certified Professional Internship in Cloud Data Engineering

Enhance your career in data engineering and offer your opportunities for a successful professional future.

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קורס אונליין - התמחות מקצועית מוסמכת בהנדסת נתוני ענן של Google Cloud

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

  • Design, assembly and commissioning of data processing systems
  • Running machine learning models
  • Make data-driven decisions by collecting, transforming, and publishing data
  • Hands-on experience through practical projects at Qwiklabs
  • Google Cloud Professional Data Engineer Certification Exam Preparation

What you will learn in the course

Courses for which the course is suitable

  • Data Engineer
  • Data Analyst
  • Data Systems Developer
  • Machine Learning Expert
  • Data Project Manager
  • Information Systems Analyst
  • Data Application Developer
  • Google Cloud Expert

Internship – 6-part course series

This program provides you with the skills you need to advance your career in data engineering and offers you a path to the industry-recognized Google Cloud Professional Data Engineer certification.

Through a combination of presentations, demos, and labs, you’ll make data-driven decisions by collecting, transforming, and publishing data. You’ll also gain hands-on experience through hands-on projects in Qwiklabs that you can share with potential employers.

Key skills

  • Design, assembly and commissioning of data processing systems
  • Running machine learning models

This program also provides sample questions similar to those on the test, along with solutions and quizzes that simulate the exam 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 obtain the Google Cloud certification, you must register and pass the certification exam.

Please note that this program allows you to acquire the skills necessary to take the certification exam, but the certification and certification fees are not included in the cost of the training program.

Hands-on Learning Project

This professional certificate includes hands-on labs on our Qwiklabs platform. These hands-on components will allow you to apply the skills you have acquired in the video-based classes.

Projects will include topics such as Google BigQuery, which will be used and configured within Qwiklabs. Additionally, you will gain hands-on experience with the concepts explained throughout the modules.

Details of the courses that make up the specialization

Google Cloud Courses

Course 1: Cloud Big Data and Machine Learning Fundamentals in Google Cloud

Duration: 8 hours
Rating: 4.7 (698 ratings)

  • Identify the data lifecycle for artificial intelligence in Google Cloud and the key products in big data and machine learning.
  • Design flow pipelines with Dataflow and Pub/Sub.
  • Analyze huge data at scale with BigQuery.
  • Identify different options for creating machine learning solutions in Google Cloud.

Course 2: Reinventing Data Basins and Data Warehouses with GCP

Duration: 8 hours
Rating: 4.8 (93 ratings)

  • Distinguish between data pools and data warehouses.
  • Explore the use cases of each storage type and the solutions available on Google Cloud.
  • Analyze the role of the data engineer and the benefits of successful data pipelines to business operations.
  • Examine why data engineering should be performed in a cloud environment.

Course 3: Building Batch Data Pipelines on GCP

Duration: 17 hours
Rating: 4.6 (44 ratings)

  • Go over different data loading methods: EL, ELT, and ETL, and when to use each one.
  • Run Hadoop on Dataproc, use Cloud Storage, and improve Dataproc jobs.
  • Build your own data processing pipelines with Dataflow.
  • Manage data pipelines with Data Fusion and Cloud Composer.

Course 4: Building Resilient Streaming Analytics Systems on GCP

Duration: 10 hours
Rating: 4.8 (35 ratings)

  • Interpret use cases for real-time stream analysis.
  • Manage data events with the asynchronous Pub/Sub messaging service.
  • Write flow pipes and perform transformations as needed.
  • Unify Dataflow, BigQuery, and Pub/Sub for real-time streaming and analytics.

Course 5: Smart Analytics, Machine Learning, and Artificial Intelligence on GCP

Duration: 6 hours
Rating: 4.8 (41 ratings)

  • Distinguish between artificial intelligence, machine learning, and deep learning.
  • Analyze the use of artificial intelligence APIs on unstructured data.
  • Run BigQuery commands from notebooks.
  • Create AI models with SQL syntax in BigQuery.

Course 6: Preparing for the Google Cloud Professional Data Engineer Exam

Duration: 6 hours

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