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Codeless Data Engineering in GCP: Beginner to Advanced
Course Line On Demand

100% Online | 2026 Updated | Cheapest Fees | No Hidden Fees | Free PDF Certificate | 24/7 Support

Summary

Price
£19 inc VAT
Study method
Online, On Demand
Duration
1.6 hours · Self-paced
Qualification
No formal qualification
Certificates
  • Reed Courses Certificate of Completion - Free
Assessment details
  • Final Exam (included in price)
Additional info
  • Tutor is available to students

Overview

Codeless Data Engineering in GCP: Beginner to Advanced is designed for learners who want to understand how modern data engineering workflows can be built and managed on Google Cloud Platform without extensive coding. This course introduces Data Engineering as a structured process of collecting, storing, transforming, and analysing data using cloud-native, low-code, and no-code tools.

Learners explore how Google Cloud services support scalable data pipelines, data warehousing, and analytics while reducing the need for complex programming. The course focuses on conceptual understanding, platform awareness, and practical configuration skills that are increasingly valuable in data-driven organisations.

Throughout Codeless Data Engineering in GCP, emphasis is placed on best practices, cost awareness, data governance, and responsible cloud usage. Learners gain insight into how data engineering supports business intelligence, reporting, and decision-making across industries.

Rather than preparing learners for regulated cloud administration or vendor certification exams, this Data Engineering course focuses on foundational understanding and applied awareness. It supports learners seeking career exploration, skill development, or further study in data engineering, analytics, or cloud computing.

Certificates

Reed Courses Certificate of Completion

Digital certificate - Included

Will be downloadable when all lectures have been completed.

Assessment details

Final Exam

Included in course price

Curriculum

10
sections
28
lectures
1h 39m
total

Course media

Description

The Codeless Data Engineering in GCP: Beginner to Advanced course consists of eight structured lectures, followed by an assessment, each designed to build understanding progressively from core concepts to applied use cases.

Lecture 1 introduces codeless Data Engineering and its role within modern data ecosystems. Learners explore what data engineering involves, how GCP supports data workflows, and the advantages of codeless approaches.

Lecture 2 focuses on setting up a GCP environment. Learners explore creating a GCP account, navigating the GCP Console, and understanding billing and cost management principles.

Lecture 3 examines data storage and management in GCP. Learners explore Google Cloud Storage, Cloud SQL for relational data, Cloud Bigtable for NoSQL workloads, and Datastore for document-based data.

Lecture 4 focuses on building codeless data pipelines. Learners explore Dataflow concepts, creating pipelines using managed tools, and monitoring and optimising pipeline performance.

Lecture 5 introduces data transformation using Dataprep. Learners explore data cleaning, transformation workflows, and best practices for preparing data without writing code.

Lecture 6 focuses on data warehousing with BigQuery. Learners explore BigQuery fundamentals, loading data, writing SQL queries, and performing advanced analytics.

Lecture 7 examines real-world projects and use cases. Learners explore case studies, hands-on project concepts, and best practices for applying codeless data engineering solutions in real environments.

Lecture 8 covers advanced topics in GCP data engineering. Learners explore data security and compliance concepts, data monitoring and governance, and scaling and performance optimisation strategies.

Certification

Upon successful completion of the Codeless Data Engineering in GCP: Beginner to Advanced course, learners receive a free digital certificate provided by Reed confirming course completion. After obtaining the Reed certificate, learners also receive a provider-issued course completion certificate, subject to verification of the Reed certificate. Learners may additionally choose to order a premium certificate and academic transcript, available in both hardcopy and softcopy formats, based on individual needs, for an additional cost. This course supports academic progression and professional development in Data Engineering and cloud analytics.

Who is this course for?

This Data Engineering course is suitable for beginners, data analysts, business intelligence professionals, IT support staff, students, and professionals seeking to understand cloud-based data workflows without heavy coding. It is ideal for learners exploring careers in data, analytics, or cloud platforms.

Requirements

No prior experience in coding or cloud platforms is required. Learners should have a basic to good standard of English, access to the internet, and a computer, tablet, or smartphone. Completion of the assessment is required to successfully finish the Codeless Data Engineering in GCP: Beginner to Advanced course.

Career path

This Data Engineering course can support progression into data analyst roles, data engineering support positions, cloud analytics assistance, business intelligence roles, or further academic study in data science, cloud computing, or information systems.

Questions and answers

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FAQs

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