4.7/5 • 900+ students

Fast track your career growth Master Google Cloud Platform

Learn to leverage Google's cutting-edge infrastructure for your applications.

Google Cloud (GCP)
  • Hours of Instructor-Led Training
  • Hands-on Projects across Web, Data & AI
  • Includes Beginner → Expert Level Topics
  • Mentor Support, Assignments & Code Reviews
  • Job Assistance & Portfolio Guidance
  • Jobzenter Certificate of Completion

What You'll Learn

Compute Engine

Google's virtual machine service.

GKE (Kubernetes)

Master container orchestration.

BigQuery

Enterprise data warehouse for analytics.

Cloud Storage

Object storage for any data size.

Cloud IAM

Identity and Access Management.

VPC & Load Balancers

Global cloud networking.

Course Content

  • Overview of cloud computing and Google Cloud fundamentals
  • Benefits of GCP: Scalability, innovation, and integration with Google services
  • GCP global infrastructure: Regions, zones, and edge locations
  • Core GCP services: Compute (Compute Engine, App Engine, Kubernetes Engine), Storage (Cloud Storage, Persistent Disks), and Networking (VPC)
  • GCP Pricing and Billing: Cost management, pricing calculator, and free tier

Frequently asked questions

FAQ Illustration
What is Google Cloud?+

Google Cloud Platform (GCP) is a suite of cloud computing services that runs on the same infrastructure used by Google Search and YouTube, providing scalable services for computing, storage, and networking.

Why should I learn Google Cloud?+

Google Cloud is ideal for professionals interested in big data, machine learning, and serverless computing. It offers high performance and innovation, particularly for data-driven and AI-powered applications.

What services does GCP provide?+

GCP offers services like Compute Engine, Cloud Storage, BigQuery (for big data analysis), App Engine, Cloud Functions, and AI tools for developing and running scalable applications.

What job roles can I pursue with Google Cloud skills?+

Learning Google Cloud opens doors to roles such as Cloud Engineer, Data Engineer, Machine Learning Engineer, and GCP Architect, especially in companies focusing on data and machine learning.

How does Google Cloud compare to AWS and Azure?+

While AWS and Azure offer similar cloud services, Google Cloud stands out in the areas of big data, machine learning, and AI tools, leveraging Google’s experience with data processing and infrastructure.