Master Google Cloud interviews with hands-on role play scenarios, real-world problem solving, and practical demos.
Are you preparing for a Google Cloud (GCP) interview and want to stand out from the competition?
This course is designed to help you learn, practice, and master Google Cloud concepts through engaging role play mock interviews.
What you’ll learn
- Master Google Cloud concepts through real-world role play interview scenarios..
- Learn how to create, manage, and optimize GCP projects, resources, and services..
- Build hands-on experience with Compute Engine, Cloud Storage, IAM, Cloud Functions, Pub/Sub, Dataflow, BigQuery, and Cloud Run..
- Understand data engineering workflows such as ETL, schema transformation, dataset partitioning, and clustering..
- Design advanced architectures like real-time analytics platforms, disaster recovery (DR), and multi-region failover..
- Implement security best practices with IAM, Secret Manager, and VPC Service Controls..
- Automate GCP infrastructure using Terraform, Composer, and schema registry tools..
- Prepare effectively for technical interviews with mock Q&A role plays, communication strategies, and interview success techniques..
Course Content
- Introduction –> 3 lectures • 13min.
- Level 1 – Beginner (Fundamental Concepts & Simple Tasks) –> 7 lectures • 13min.
- Level 2 — Intermediate (Service Integration & Data Engineering) –> 7 lectures • 15min.
- Level 3 — Advanced (Architectural Scenarios & Optimization) –> 7 lectures • 16min.
- Interview Preparation Essentials –> 8 lectures • 18min.
Requirements
Are you preparing for a Google Cloud (GCP) interview and want to stand out from the competition?
This course is designed to help you learn, practice, and master Google Cloud concepts through engaging role play mock interviews.
Instead of just theory, you’ll experience real-world interview-style conversations where you (the learner) play the role of the candidate while solving practical tasks on Google Cloud.
We start with the fundamentals—creating GCP projects, IAM roles, Compute Engine, and Cloud Storage. Then we move into intermediate-level integration and data engineering tasks like Pub/Sub → Dataflow → BigQuery pipelines, Secret Manager integration, and GCS lifecycle optimization.
Finally, you’ll tackle advanced architectural scenarios including real-time analytics platforms, disaster recovery, VPC Service Controls, and Terraform automation.
The course concludes with interview preparation essentials: how to introduce yourself, turn your resume into a story, master communication skills, answer common questions, and leave a strong first impression on recruiters and hiring managers.
By the end of this course, you’ll have both the technical expertise and interview confidence to succeed in Google Cloud roles.
Whether you are a beginner, intermediate learner, or advanced professional, this course provides a step-by-step journey from fundamentals to advanced scenarios, ensuring you are job-ready, technically strong, and interview-ready.