Data Engineering on Google Cloud

Overview

Overview

Duration 4 days
Course Time 9.00am - 5.00pm
Enquiry Click here to contact us
This course is delivered by CloudMile.

Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hands-on labs to show participants how to design data processing systems, build end-to-end data pipelines, analyse data, and implement machine learning. It covers structured, unstructured, and streaming data.

Key Takeaways

Key Takeaways

At the end of this course, the participiants will be able to:

  • Design and build data processing systems on Google Cloud
  • Process batch and streaming data by implementing autoscaling data pipelines on Dataflow
  • Derive business insights from extremely large datasets using BigQuery
  • Leverage unstructured data using Spark and ML APIs on Dataproc
  • Enable instant insights from streaming data
  • Understand ML APIs and BigQuery ML, and learn to use AutoML to create powerful models without coding

Who Should Attend

Who Should Attend

This course is ideal for AI Engineers, Data Engineers, Infrastructure Engineers and Infrastructure Architects.

Pre-requisites
To get the most out of this course, participants should:

• Have completed Google Cloud Big Data and ML Fundamentals course
• Basic proficiency with a common query language such as SQL
• Experience with data modeling and ETL (extract, transform, load) activities
• Experience with developing applications using a common programming language such as Python
• Familiarity with machine learning and/or statistics

ICT and SS Competency Framework

ICT and SS Competency Framework

As part of the ICTCF, this course falls under the Data Science & AI and ICT Infrastructure clusters and tagged to the following competencies:
  • Apps Development: Cloud Application Engineering
  • Data Science & AI: Machine Learning
  • Data Science & AI: Data Systems Integration
  • ICT Infrastructure: Cloud Infrastructure

The course is mapped to the following job roles:
  • AI Engineer
  • Data Engineer
  • Infrastructure Architects
  • Infrastructure Engineers

Course Structure

Course Structure

This course is delivered via Virtual Instructor-Led Training. There is technical assessment which includes labs and quiz sessions as part of this course.

Instructors

Instructors


Fees

Fees


Full Fee

Full course fee

S$2400

7% GST on nett course fee

S$168

Total nett course fee payable, including GST S$2568




How To Register

How To Register


Agency-sponsored

Step 1 Apply through your organisation's training request system

Step 2 Your organisation's training request system (or relevant HR staff) confirms your organisation's approval for you to take the course.

Your organisation will send registration information to the academy.

Organisation HR L&D or equivalent staff can click here for details of the registration submission process.


Step 3 The Digital Academy will inform you whether you have been successful in enrolment.