World’s No.1 Affordable Cloud & AI Platform — From Zero to Expert
Courses Images

Course Overview

Gain hands-on expertise in Google Cloud Platform (GCP) with this 60-hour intensive program, designed to take learners from beginner to expert level. The course covers compute, storage, networking, security, identity, analytics, machine learning, and advanced architecture best practices. Through practical labs, learners will deploy VMs, Cloud Functions, BigQuery pipelines, Vertex AI models, and scalable applications with autoscaling and high availability. A capstone project integrates multiple GCP services into real-world solutions. By completion, participants can design and implement secure, scalable, and enterprise-grade cloud architectures while preparing for GCP certifications.

Course Content

  • Introduction to Cloud & GCP
    Hands-on: Set up a collaborative GitHub repo, workflow basics
  • Linux, Git & Version Control
    Hands-on: Create a free-tier GCP account, navigate console, run Cloud Shell commands
  • Compute Services
    Hands-on: Launch VM, deploy a simple app on App Engine, create Cloud Function
  • Storage Services
    Hands-on: Create buckets, set lifecycle rules, create Cloud SQL instance
  • Networking & Content Delivery
    Hands-on: Build VPC with private/public subnets, deploy web app behind LB
  • Security & Identity
    Hands-on: Create IAM roles, assign service accounts, enable security logging
  • Data Analytics & Big Data Services
    Hands-on: Load data into BigQuery, run queries, stream data via Pub/Sub
  • Machine Learning & AI Services
    Hands-on: Build ML model with Vertex AI, use Vision API on sample images
  • Monitoring, Logging & Management
    Hands-on: Create dashboards, alerts, review logs for resources
  • Advanced Architecture & Best Practices
    Hands-on: Deploy multi-zone app with autoscaling and HA
  • Capstone Project
    Learners implement an end-to-end GCP solution, for example:
    • Scalable web application: GCE + Cloud SQL + Load Balancer + Cloud Storage
    • Serverless app: Cloud Functions + Firestore + Pub/Sub
    • Data analytics pipeline: Pub/Sub + Dataflow + BigQuery + Looker Studio
    • AI/ML project: Vertex AI model deployment with real dataset
  • Deliverables
    • Architecture diagram & design documentation
    • Implementation of services
    • Cost analysis & security considerations
  • Learning Outcomes:
    By the end of this 60-hour program, learners will be able to:
    • Understand and use core GCP services effectively
    • Design secure, highly available, and scalable cloud architectures
    • Implement serverless and containerized applications on GCP
    • Perform data analytics and ML workflows on GCP
    • Prepare for GCP Associate Cloud Engineer and Professional certifications

1: I have no cloud experience?

This course is specifically designed for IT professionals, system administrators, and developers looking to transition into cloud roles. We start with the fundamental concepts of cloud service models (IaaS, PaaS, SaaS) and deployment models before progressing to hands-on labs with platforms like AWS and Microsoft Azure. No prior cloud experience is necessary, just a foundational understanding of networking and operating systems.
Definitely. Our curriculum is meticulously aligned with the objectives of major industry certifications, specifically the AWS Certified Solutions Architect – Associate and the Microsoft Azure Fundamentals (AZ-900). While the course provides the knowledge and hands-on practice you need to succeed, the final exam voucher is not included in the base course fee. We do, however, offer dedicated exam prep modules and practice tests.
You will gain practical, job-ready skills by designing and deploying scalable applications on AWS and Azure. Through hands-on labs, you'll learn to configure virtual networks, implement security controls, and manage cloud resources for cost and performance—culminating in a portfolio project that demonstrates your expertise to employers.

Student Reviews

Considering primary motivation for the generation of narratives is a useful concept