Course Overview
This mentor-led programme equips learners with the capabilities required to design, build, secure, and optimise data platforms on Google Cloud. Through practical scenarios, participants learn how to create scalable data pipelines, manage storage solutions, and deliver reliable data for analytics and machine learning use cases.
The course aligns with the Professional Data Engineer certification objectives, focusing on real-world applications such as batch and streaming data processing, data warehousing, and workflow automation. Learners gain hands-on exposure to tools such as BigQuery, Dataflow, Pub/Sub, and Cloud Composer in guided labs and scenario-based exercises.
By the end of the programme, learners will be able to design robust data architectures, implement secure and compliant solutions, and operate data workloads efficiently in production environments. Emphasis is placed on performance optimisation, monitoring, and lifecycle management of data systems.
Hands-On Learning
Build end-to-end pipelines using Google Cloud tools in guided labs and projects.
Mentor-Led Sessions
Expert-led sessions focused on practical scenarios, architecture decisions, and exam readiness.
Career-Ready Skills
Develop production-grade data engineering skills aligned with modern cloud platforms.
Learning Outcomes
Design scalable cloud data architectures
Analyse data processing requirements effectively
Implement batch and streaming pipelines
Evaluate storage and query performance
Communicate data solutions to stakeholders
Lead optimisation and monitoring strategies
Prerequisites
Basic SQL knowledge
Familiarity with cloud concepts
Experience with data workflows
Detailed Syllabus
Organized by professional domains with comprehensive coverage
Topics Covered:
- •Designing scalable data architectures
- •Choosing storage and compute services
- •Data lifecycle planning
Skills You'll Gain
Master these in-demand skills through hands-on practice
Career Progression
A clear view of the roles this programme supports, what typically comes next, and where learners progress over time
Ways to Learn
Choose the learning format that works best for you and your team
Live Online
Instructor-Led Training
Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- Live instructor interaction (real-time)
- Trainer-led walkthroughs and real examples
- Guided resources and session notes provided
- Structured Q&A and practical discussion
Price per person
Group enrolments and early planning options available.
All prices are exclusive of VAT where applicable. Group enrolments and custom packages available on request.
Prefer a Faster, Personalised Route into IT?
Not everyone learns best in a group. If you want focused guidance, faster clarity, and confidence you can use on the job, our 1-to-1 Fast-Track Training gives you private, mentor-led support tailored to your experience and goals.
"Many learners choose 1-to-1 when they want understanding, not memorisation."
Exam & Certification Information
Everything you need to know about the certification exams
Important Information
This programme is aligned with the official exam objectives. Exam registration and certification are managed directly by the awarding body.
Credential
Certificate of Completion
On successful completion of Google Professional Data Engineer Training, learners receive an Xcademia Certificate of Completion. This standalone certificate is issued directly by Xcademia and is aligned with globally recognised frameworks and best practices.
Frequently Asked Questions
Everything you need to know about this course
Basic familiarity helps, but core concepts are covered.
Ready to Start Your Learning Journey?
Take the next step in your professional development