Online Course – Google Cloud Certified Professional Specialization in Big Data and ML

Data Engineering on Google Platform. Advance your career in data engineering.

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קורס אונליין - התמחות מקצועית מוסמכת ב-Big Data ו-ML 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 and develop data processing systems on Google Cloud Platform
  • Leverage unstructured data with Spark and machine learning APIs on Cloud Dataproc
  • Process data in batches or in real time using automated data pipelines on Cloud Dataflow
  • Get business insights from very big data with Google BigQuery
  • Train, evaluate, and make predictions using machine learning models with TensorFlow and Cloud ML
  • Get instant insights from flow data

What you will learn in the course

Courses for which the course is suitable

  • Data processing systems developer
  • Data Analyst
  • Data Pipeline Developer
  • Google Cloud Platform Expert
  • Big Data Analyst
  • Machine learning model developer
  • Spark Expert
  • Cloud Dataproc Expert
  • Cloud Dataflow Expert
  • Flow data analyzer
  • Big Data Developer

Internship – 5-session course series

This five-week online internship course provides hands-on experience in designing and developing data processing systems on Google Cloud. Through a series of presentations, demonstrations, and hands-on workshops, participants learn to design data processing systems, create end-to-end data pipelines, analyze data, and perform machine learning tasks.

Skills acquired in the course:

  • Design and develop data processing systems on Google Cloud Platform
  • Leverage unstructured data with Spark and machine learning APIs on Cloud Dataproc
  • Process data in batches or in real time using automated data pipelines on Cloud Dataflow
  • Get business insights from very big data with Google BigQuery
  • Train, evaluate, and make predictions using machine learning models with TensorFlow and Cloud ML
  • Get instant insights from flow data

This course is intended for experienced developers who are involved in big data conversion.

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Hands-on Learning Project

This internship includes hands-on workshops. To enroll, you must have a Google account (a Gmail account is sufficient) and create a free trial account on Google Cloud Platform. The free trial is limited to 12 months of use or up to $300 in credits (whichever comes first). That’s why we designed the internship so that you can complete it in four weeks.

The workshops allow you to apply what you’ve learned in the video courses. The projects focus on tools like Google BigQuery, which are used and configured in Codelabs. This way, you’ll develop hands-on experience with the concepts explained in the modules.

Details of the courses that make up the specialization

Big Data Fundamentals and Machine Learning in Google Cloud

Course 1

10 hours

4.3 (42 ratings)

What you’ll learn

  • Understand the Google Cloud Data Lifecycle and what the core products for big data and machine learning look like
  • Build pipelines for data processing in the field with Dataflow and Pub/Sub
  • Analyze big data at scale with BigQuery
  • Identify different options for creating machine learning solutions in Google’s cloud

Upgrading data pools and data warehouses with GCP

Course 2 – 8 hours

What you’ll learn

  • Understand the difference between data sinks and data warehouses
  • To explore use cases for different types of storage, as well as solutions for data pools and warehouses on Google Cloud
  • Understand the role of data engineers and the benefits a successful data pipeline provides to business operations
  • Understand why it is important to engineer data in a cloud environment

Building data processing pipelines in Google’s cloud

Course 3 – 17 hours

What you’ll learn

  • Explore different data loading methods (EL, ELT, and ETL) and determine when to use each.
  • Run Hadoop on Dataproc, use cloud storage services, and optimize Dataproc jobs.
  • Create data processing pipelines using Dataflow.
  • Manage data pipelines with Data Fusion and Cloud Composer.

Building outstanding continuous analytics systems in the Google Cloud

Course 4 – 11 hours

What you’ll learn

  • Interpret use cases for real-time data analysis
  • Manage data events using the asynchronous Pub/Sub messaging service
  • Write data flow pipelines and perform transformations as needed.
  • Complete the use of Dataflow, BigQuery, and Pub/Sub for real-time flows and analytics

Smart analytics, machine learning, and artificial intelligence in Google’s cloud

Course 5 – 8 hours

What you’ll learn

  • Understand the differences between machine learning, artificial intelligence, and deep learning
  • Discuss using ML APIs on unstructured data.
  • Run BigQuery commands from notebooks.
  • Create machine learning models using SQL syntax in BigQuery.

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