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Studies
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Studies
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DS411BKK

Integrated Data Engineering and Analysis on Google Cloud Platform (GCP)

Bangkok Campus
Apr 27, 2026 - May 15, 2026
This course is a comprehensive program designed to equip participants with essential skills and knowledge to build, manage, and optimize data pipelines on Google Cloud Platform (GCP).
Bangkok Campus
Apr 27, 2026 - May 15, 2026
Parit (Wit) Sripakdeevong

Faculty

Parit (Wit) Sripakdeevong

Chief Technology Officer at Prinsiri Public Company Limited

Course length

3 weeks

Duration

3 hours
per day

Total hours

45 hours

Credits

6 ECTS

Language

English

Course type

Offline

Fee for single course

€1500

Fee for degree students

€750

Skills you’ll learn

Analyze and Define Pipeline ProblemsDesign and Implement PipelinesPerform Data TransformationOptimise and Monitor PipelinesPerform Basic Data Visualization
OverviewCourse outlinePrerequisitesMethod & grading

Overview

This course is a comprehensive program designed to equip participants with essential skills and knowledge to build, manage, and optimize data pipelines on Google Cloud Platform (GCP). The course covers fundamental topics such as data engineering principles, batch vs streaming processing, and data visualization to present and interpret processed data, progressing to exploring each component of data engineering lifecycle: ingestion, storage, transformation, and serving data. Additionally, participants will learn how to implement security, data management, and monitoring practices to ensure robust, compliant, and efficient data pipelines.

The program emphasizes hands-on labs, allowing participants to apply their learning in real-world scenarios. It concludes with a capstone project, where learners design and present an end-to-end data pipeline, providing the skills needed to excel in modern data ecosystems.

Learning highlights

  • Understanding of Data Engineering
  • Proficiency in Google Cloud Platform (GCP)
  • Design and Implementation of ETL Pipelines
  • Secure and Compliant Data Management
  • Optimization and Monitoring of Pipelines
  • Data Visualization and Reporting

Course outline

15 classes

Dive into the details of the course and get a sense of what each class will cover.
Monday
Tuesday
Wednesday
Thursday
Friday
Monday
1

Session 1

Introduction to Data Engineering and GCP

Tuesday
2

Session 2

Data Lake with Google Cloud Storage

Wednesday
3

Session 3

Introduction to Data Warehousing with BigQuery

Thursday
4

Session 4

Visualizing insights with Looker Studio

Friday
5

Session 5

Building ETL Pipelines - Batch Loading from RDBMS to BigQuery

Monday
6

Session 6

Data Collection through Web Scraping and Data Extraction

Tuesday
7

Session 7

Automating Batch Workflows with Cloud Run Functions and Cloud Scheduler

Wednesday
8

Session 8

Reverse API Engineering

Thursday
9

Session 9

Real-time Data Ingestion with Cloud Pub/sub

Friday
10

Session 10

Event - Driven Data Processing

Monday
11

Session 11

Advanced Streaming Processing with Dataflow

Tuesday
12

Session 12

Data Transformation with BigQuery

Wednesday
13

Session 13

Security and Compliance

Thursday
14

Session 14

Monitoring and Optimizing

Friday
15

Session 15

Capstone Project Presentation

Methodology

Lectures, individual work and group work.

Grading

The final grade will be composed of the following criteria:
20% - Individual Homework
30% - Group Assignment
50% - Final Group Project
Parit (Wit) Sripakdeevong

Faculty

Parit (Wit) Sripakdeevong

Chief Technology Officer at Prinsiri Public Company Limited

Dr. Parit Sripakdeevong is the Chief Technology Officer at Prinsiri Public Company Limited, one of Thailand's leading real estate developers. With over a decade of experience in technology-driven business transformation, Dr. Parit specializes in digital innovation, smart community systems, and real estate technology. He has successfully led projects integrating advanced technologies such as AI-powered customer interaction systems, license plate recognition (LPR), and IoT-enabled smart home automation.

Dr. Parit earned his PhD in Economics from MIT, where he conducted research on the financial systems of developing economies. His doctoral work involved extensive data analysis, modeling, and the application of statistical tools to uncover insights from complex datasets. These skills have been a cornerstone of his professional achievements, enabling him to design and implement scalable data systems and analytics platforms in the real estate sector.

See full profile

Apply for this course

Snap up your chance to enroll before all spaces fill up.

Integrated Data Engineering and Analysis on Google Cloud Platform (GCP)

by Parit (Wit) Sripakdeevong

Total hours

45 Hours

Dates

Apr 27 - May 15, 2026

Fee for single course

€1500

Fee for degree students

€750

How to secure your spot

Complete the form below to kickstart your application

Schedule your Harbour.Space interview

If successful, get ready to join us on campus

FAQ

Will I receive a certificate after completion?

Yes. Upon completion of the course, you will receive a certificate signed by the director of the program your course belonged to.

Do I need a visa?

This depends on your case. Please check with the Spanish or Thai consulate in your country of residence about visa requirements. We will do our part to provide you with the necessary documents, such as the Certificate of Enrollment.

Can I get a discount?

Yes. The easiest way to enroll in a course at a discounted price is to register for multiple courses. Registering for multiple courses will reduce the cost per individual course. Please ask the Admissions Office for more information about the other kinds of discounts we offer and what you can do to receive one.