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Google Cloud Platform (GCP) Training with AI

Best Google Cloud Platform (GCP) Training with AI In Pune With 100% Placement Assistance

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4.8
2,100+ Rating
20,000+ Students
  • Last updated 02/2026
  • English
  • Certified Course
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What you'll learn

The Google Cloud Platform (GCP) Course by Technogeeks X AI is designed to help students and professionals master cloud engineering and architecture with real-world implementation skills. This program prepares learners to design, deploy, and manage scalable cloud solutions on Google Cloud Platform.

This training starts with core GCP foundations and gradually moves towards advanced networking, compute services, storage systems, and enterprise-grade security and architecture design.

Students will gain hands-on experience in GCP tools and services, real-time cloud scenarios, and project-based learning to build strong practical knowledge.

GCP is one of the highest-paying cloud careers globally, offering excellent career growth, high salary packages, and opportunities across industries.

  • Real-World GCP Projects & Case Studies
  • Hands-on GCP Tools Configuration
  • Instructor-Led Live Sessions
  • End-to-End Cloud Solution Training
  • Associate Cloud Engineer & Professional Cloud Architect Prep
  • Resume & CV Building Support
  • Mock Interview Preparation
  • 1:1 Mentorship from GCP Experts
  • 100% Placement Assistance
  • Portfolio Enhancement & Best Practices

Google Cloud Platform (GCP) Course — Associate Cloud Engineer & Professional Cloud Architect

The GCP Course by Technogeeks X AI helps learners gain expertise in designing, deploying, and managing secure, scalable cloud solutions on Google Cloud Platform, enabling them to handle real-time cloud operations in organizations.

GCP professionals play a critical role in managing cloud infrastructure, ensuring high performance, security, and cost efficiency while supporting cloud-based applications.

During the training, students learn how to work with GCP tools like Compute Engine, Cloud Storage, BigQuery, IAM, VPC, Load Balancing, and Kubernetes (GKE), including configuration, deployment, and integration with enterprise systems.

The course includes real-time projects, system configuration, cloud architecture design, and implementation scenarios to build industry-ready GCP Engineers and Architects.

Students will learn:

  • GCP Global Infrastructure: Regions, Zones, and Google's Global Fiber Network
  • Identity & Access Management (IAM) and Principle of Least Privilege
  • Virtual Private Cloud (VPC) Networking and Subnets
  • Compute Engine: Virtual Machines, Custom Machine Types, and Spot VMs
  • Google Kubernetes Engine (GKE): Autopilot and Standard Clusters
  • Serverless Compute: Cloud Run and Cloud Functions
  • Cloud Storage: Object Storage, Storage Classes, and Lifecycle Rules
  • Relational Databases: Cloud SQL and Cloud Spanner
  • NoSQL & Analytics: Firestore and BigQuery
  • Security Tools: Secret Manager, Cloud Armor, and Identity-Aware Proxy (IAP)
  • Infrastructure as Code (IaC) using Terraform and Config Connector
  • Case Study Analysis: Designing Technical Solutions for Business Requirements

Flexible Learning Options

Technogeeks X AI offers flexible training modes to suit different learners:

  • Classroom Training (Pune)
  • Live Online Instructor-Led Sessions
  • Weekend and Weekday Batches

Students also get access to recorded sessions, project materials, and continuous support for learning at their own pace.

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Course Content

  • Global Infrastructure: Understanding Regions, Zones, and Google's Global Fiber Network
  • Resource Hierarchy: Organizing Workloads using Organizations, Folders, and Projects
  • Identity & Access Management (IAM): Managing Users, Groups, and Service Accounts
  • Implementing the Principle of Least Privilege
  • Management Tools: Mastering the Google Cloud Console, Cloud Shell, and Google Cloud CLI
  • Financial Governance: Setting up Billing Accounts, Budgets, and Alerting

  • Global VPC Architecture: Designing Global VPCs, Subnets, and Alias IP Ranges
  • Network Security: Implementing Cloud Next Generation Firewall (NGFW) Policies and Network Tags
  • Load Balancing: Configuring Global HTTPS, SSL Proxy, and Internal Load Balancers
  • Connectivity: Implementing Cloud VPN for Hybrid Environments
  • VPC Network Peering and Cloud Interconnect

  • Compute Engine: Deploying Virtual Machines, Custom Machine Types, and Spot VMs
  • Managed Instance Groups (MIGs): Implementing Autoscaling, Load Balancing, and Auto-healing for VM Workloads
  • Google Kubernetes Engine (GKE): Deploying GKE Autopilot and Standard Clusters
  • Managing Pods, Services, and Ingress Controllers
  • Serverless Compute – Cloud Run: Scaling Containerized Applications
  • Serverless Compute – Cloud Functions: Developing Event-Driven Microservices

  • Cloud Storage: Managing Object Storage and Storage Classes (Standard, Nearline, Coldline, Archive)
  • Cloud Storage Lifecycle Rules
  • Relational Databases – Cloud SQL: Fully Managed MySQL, PostgreSQL, and SQL Server
  • Relational Databases – Cloud Spanner: Globally Scalable, Strongly Consistent Relational Database
  • NoSQL & Analytics – Firestore: Scalable Document Database for Mobile and Web
  • NoSQL & Analytics – BigQuery: Serverless, Petabyte-Scale Data Warehouse for Enterprise Analytics

  • Cloud Operations Suite: Implementing Cloud Monitoring, Logging, and Error Reporting
  • Deployment Automation: Introduction to Infrastructure as Code (IaC) using Terraform
  • Config Connector for Kubernetes-Native GCP Resource Management
  • Security Tools: Using Secret Manager for Sensitive Data
  • Cloud Armor for DDoS Protection and WAF
  • Identity-Aware Proxy (IAP) for Secure Application Access

  • Architecting for Scale: Designing Multi-Region, High-Availability Architectures
  • Migration Frameworks: Executing the Move, Change, or Build Strategy
  • Using Migrate to Containers for Modernization
  • Compliance & Governance: Implementing Organization Policies
  • Shared VPCs for Enterprise-Grade Security
  • Case Study Analysis: Reviewing Business Requirements to Design Technical Solutions

  • Project Discussion and Review
  • GCP Best Practices
  • Mock Interview Preparation
  • Resume & CV Preparation

Requirements

  • Basic computer knowledge.
  • No prior GCP experience required.
  • Basic understanding of networking and cloud concepts.
  • Laptop with stable internet access.

Description

  • Complete GCP Associate Cloud Engineer & Professional Cloud Architect training.
  • Covers Compute, Networking, Storage, Security & Architecture Design.
  • Real-world projects with hands-on GCP tools and services.
  • Career-ready GCP Engineer & Architect skills with placement support.

Instructor

Prince Sir
Advanced Educator
  • 2,100+ Reviews 4.7 Rating
  • 20,000+ Students

Our instructor is an experienced GCP Cloud professional specializing in Google Cloud Platform, Cloud Architecture, Kubernetes, DevOps, and real-world cloud implementation projects.

Review

4.7
Course Rating
63%
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₹22,000 ₹25,000
10 Years of Excellence
360-degree program
  • AI IntegratedYes
  • Practical LearningYes
  • LecturesLive
  • Skill LevelBasic to Expert
  • QuizzesYes
  • CertificateYes
  • Live Doubt Clearing Yes
  • Placement CallsYes
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Frequently Asked Questions

1
What is Google Cloud Platform (GCP) and why should I learn it in 2026?

Ans:
Google Cloud Platform (GCP) is one of the world's leading cloud computing platforms used by enterprises globally for computing, storage, networking, and AI services. In 2026, GCP adoption is growing rapidly across industries like fintech, healthcare, e-commerce, and IT services. Learning GCP opens doors to high-paying cloud roles and prepares you for globally recognized certifications like the Associate Cloud Engineer and Professional Cloud Architect.

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2
What is the difference between GCP Associate Cloud Engineer and Professional Cloud Architect?

Ans:
The GCP Associate Cloud Engineer certification focuses on deploying, managing, and monitoring cloud workloads on Google Cloud. The Professional Cloud Architect certification is an advanced role focused on designing scalable, secure, and highly available cloud solutions. This course at Technogeeks X AI covers both levels — starting from foundational GCP concepts and progressing to enterprise-grade architecture design.

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3
Do I need prior cloud experience to join this GCP course?

Ans:
No prior cloud or GCP experience is required to enroll in this course. Basic computer knowledge and familiarity with networking concepts is helpful but not mandatory. The course starts from GCP fundamentals like Resource Hierarchy and IAM, and gradually progresses to advanced topics like Kubernetes, BigQuery, Terraform, and Cloud Architecture design.

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4
What topics are covered in this GCP course?

Ans:
This GCP course covers all essential modules required for real-world cloud engineering and architecture roles. Topics include GCP Foundations, IAM, VPC Networking, Compute Engine, Google Kubernetes Engine (GKE), Cloud Run, Cloud Functions, Cloud Storage, Cloud SQL, Cloud Spanner, BigQuery, Firestore, Cloud Monitoring, Terraform (IaC), Cloud Armor, Secret Manager, Multi-Region Architecture Design, and Migration Frameworks.

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5
What is Google Kubernetes Engine (GKE) and why is it important?

Ans:
Google Kubernetes Engine (GKE) is a managed Kubernetes service on GCP for deploying, scaling, and managing containerized applications. GKE is one of the most in-demand cloud skills in 2026. This course covers GKE Autopilot and Standard cluster deployment, Pod and Service management, Ingress controllers, and auto-scaling — giving you hands-on expertise that employers actively look for in cloud engineering roles.

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6
What job roles can I get after completing the GCP course?

Ans:
Completing this GCP course prepares you for multiple high-demand cloud career roles in 2026. Job roles include GCP Cloud Engineer, Cloud Architect, DevOps Engineer, Cloud Infrastructure Engineer, Site Reliability Engineer (SRE), Kubernetes Administrator, and Cloud Solutions Consultant. These roles are available across IT companies, MNCs, startups, and cloud-first enterprises globally.

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7
What is the salary of a GCP Cloud Engineer in India in 2026?

Ans:
GCP Cloud Engineers are among the highest-paid tech professionals in India in 2026. Freshers with GCP certification can start at ₹5–10 LPA, while professionals with 2–5 years of GCP experience typically earn ₹15–30 LPA or more. Senior Cloud Architects and GCP specialists with expertise in Kubernetes and BigQuery can command packages of ₹35–60+ LPA in top product and service companies.

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8
How long does it take to complete the GCP course at Technogeeks X AI?

Ans:
The GCP course at Technogeeks X AI is structured to make you job-ready and certification-ready in a focused timeframe. The complete course covering all 7 modules — including GCP Foundations, VPC Networking, Compute, Storage, Operations, Security, and Architecture Design — is 45 hours total and can be completed in 6 to 8 weeks with regular sessions and hands-on lab practice.

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9
What is Terraform and why is it taught in the GCP course?

Ans:
Terraform is an open-source Infrastructure as Code (IaC) tool used to automate the provisioning and management of cloud resources on GCP and other platforms. In 2026, Terraform is a must-have skill for any GCP Cloud Engineer or DevOps professional. This course covers Terraform basics along with Config Connector, allowing you to manage GCP resources declaratively — a skill that significantly boosts your employability and interview performance.

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10
Is GCP a good career option in 2026?

Ans:
Yes, GCP is one of the fastest-growing and highest-paying cloud platforms to build a career on in 2026. Google Cloud is expanding rapidly across industries like fintech, healthcare, retail, media, and AI. With Google's continued investment in cloud infrastructure and AI services like Vertex AI, demand for skilled GCP professionals is at an all-time high — making it one of the smartest career investments you can make today.

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The Complete Google Cloud Platform (GCP) Training with AI 2026: From Zero to Expert!
₹22,000 ₹25,000

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