Online Course – Google Cloud Certified Data Engineer Professional Certificate

Advance your data engineering career with the latest tools and techniques. Discover how to add value to organizations in the digital age.

Suggested by: Coursera (What is Coursera?)

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קורס אונליין - תעודה מקצועית מוסמכת מהנדס נתונים בענן 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

  • Greater confidence in cloud-related skills
  • Preparing for the Google Cloud Associate Cloud Engineer certification
  • Ability to complete a professional certification program in cloud engineering
  • Access additional resources for the certification exam
  • Deep understanding of the Associate Cloud Engineer exam guide
  • Experience in answering sample questions from the certification exam
  • Ability to register for the Google Cloud certification exam
  • Applying practical skills using the Qwiklabs platform
  • Hands-on experience with Google Cloud Platform products
  • Gain practical experience using the concepts explained in the modules

What you will learn in the course

Courses for which the course is suitable

  • Cloud Engineer
  • Information Systems Manager (IT Manager)
  • Software Developer
  • Data Analyst
  • Technical Project Manager
  • Information Security Specialist
  • Cloud Application Developer
  • IT Infrastructure Manager

Professional Certificate – Series of 6 Courses

87% of users who have earned a Google Cloud certification feel more confident in their cloud-related skills. With this program, you can gain the skills you need to advance your career and prepare for the highly regarded Google Cloud Associate Cloud Engineer certification.

Steps to obtain a Google Cloud certification:

  • Complete Coursera’s Professional Certification Program in Cloud Engineering with Google Cloud.
  • Check out additional recommended resources for the Google Cloud Associate Cloud Engineer certification exam.
  • Review the Associate Cloud Engineer exam guide.
  • Answer sample questions from the Associate Cloud Engineer certification exam.
  • Register to take the Google Cloud certification exam (online or at test centers).

Practical learning projects

This professional certification program features hands-on labs using the Qwiklabs platform.

These hands-on components allow you to apply the skills you’ve learned. In projects, you’ll use Google Cloud Platform products through Qwiklabs. You’ll gain hands-on experience using the concepts explained throughout the modules.

Updates: Certification program completion challenge (within Coursera and Google Cloud).

Hands-on Learning Project

This professional certification program features a variety of hands-on labs using the Qwiklabs platform.

These hands-on components allow you to apply the skills you learned in the lecture videos. This hands-on learning project includes topics such as Google Cloud Platform products ready to use in Qwiklabs. You will gain hands-on experience using the concepts explained throughout the modules.

Details of the courses that make up the specialization

The courses you will eventually take

  • 1. Google Cloud: Big Data and Machine Learning Fundamentals

    9 hours

    What you’ll learn:

    • Understand the lifecycle of AI data, including big data and machine learning products in Google Cloud.
    • Design streaming pipelines using Dataflow and Pub/Sub.
    • Perform large-scale big data analytics using BigQuery.
    • Understand how to build different ML solutions on Google Cloud.

  • 2. Renovating data pools and data warehouses with GCP

    8 hours

    What you’ll learn:

    • Understand the differences between data pools and data warehouses.
    • Learn the use cases of all types of storage.
    • Understand the role of a data engineer and the benefits that effective data pipelines bring to businesses.

  • 3. Building data pipelines at pace using GCP

    17 hours

    What you’ll learn:

    • Check out the different methods for loading data: EL, ELT, ETL.
    • Run Hadoop on Dataproc and optimize Dataproc jobs.
    • Build data processing pipelines using Dataflow.

  • 4. Building robust continuous analytics systems on GCP

    10 hours

    What you’ll learn:

    • Interpret use cases for continuous real-time analytics.
    • Manage data events using the Pub/Sub service.
    • Write streaming pipelines and perform conversion as needed.

  • 5. Smart Analytics, Machine Learning, and AI on GCP

    6 hours

    What you’ll learn:

    • Understand the differences between ML, AI, and deep learning.
    • Think about using ML APIs for unstructured data.
    • Run BigQuery commands from Notebooks.

  • 6. Preparing for the Google Cloud Professional Data Engineer Certification Exam

    13 hours

    What you’ll learn:

    • Understand the status of the Professional Data Engineer certificate.
    • Get information, tips and advice about the exam.
    • Conduct a review of all parts of the exam, emphasizing the important skills and areas to study.

All courses are focused on giving you the best tools for success in Google Cloud.

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