Build on Google Cloud. Scale Without Limits.
Our Google GCP Cloud Training teaches you to build, secure and operate cloud solutions using Google Cloud Platform. Learn Compute Engine, Cloud Storage, VPC networking, IAM, databases, BigQuery, Kubernetes, serverless services, monitoring and cloud architecture through hands-on projects.
Why Technogeeks X AI
Learn Google Cloud by building practical solutions for real infrastructure and application requirements.
Practical Google Cloud Skills
Build and operate workloads using core GCP services, cloud networking and managed platforms.
Hands-on Cloud Labs
Deploy applications, configure IAM, create VPCs, work with databases and analyse cloud data.
Experienced Cloud Trainers
Learn from mentors with experience in cloud infrastructure, DevOps, data platforms and architecture.
Small Batch Learning
Receive architecture reviews, troubleshooting guidance and feedback on your cloud projects.
Placement & Career Support
Prepare for Google Cloud engineer, cloud administrator, DevOps and data platform roles.
Proven Track Record
5000+ learners trained across our cloud and technology programs.
Real skills, not just certificates
By the end of the Google GCP Cloud Training, you will be able to design, deploy, secure and monitor cloud solutions.
Build
Use Compute Engine, Cloud Storage, Cloud SQL and other core services to build cloud workloads.
Protect
Implement IAM, service accounts, firewall rules, encryption and secure VPC architecture.
Scale
Deploy resilient applications using managed instance groups, load balancing, GKE and Cloud Run.
Optimise
Use Cloud Monitoring, Logging, BigQuery and cost controls to improve cloud operations.
Everything a Google Cloud Engineer needs
Build a connected toolkit for infrastructure, security, containers, data and cloud-native development.
CLOUD
- Compute Engine
- Cloud Storage
- VPC
- IAM
- Cloud SQL
- BigQuery
- GKE
- Cloud Run
- Cloud Functions
- Cloud Monitoring
From requirement to cloud solution
Follow the workflow used by cloud engineers to plan, deploy, secure and operate GCP workloads.
-
01
Discover
Goals · Users · Constraints
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02
Design
Services · Regions · Patterns
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03
Secure
IAM · VPC · Firewalls
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04
Deploy
VMs · Containers · Serverless
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05
Monitor
Logs · Metrics · Alerts
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06
Optimise
Scale · Cost · Reliability
GCP projects you'll actually build
Build portfolio-ready Google Cloud solutions based on realistic application, data and infrastructure requirements.
Highly Available GCP Web App
Problem — A growing application needed scalable compute, traffic distribution and reliable operations.
Stack — Compute Engine, VPC, managed instance groups, Cloud Load Balancing and Cloud Monitoring.
Outcome — A resilient cloud architecture designed for availability and predictable performance.
Secure VPC Application
Problem — An enterprise workload needed network isolation, controlled access and secure service communication.
Stack — VPC, subnets, firewall rules, IAM, service accounts, Cloud SQL and private connectivity.
Outcome — A secure application environment with separated network layers and controlled permissions.
Serverless Data Platform
Problem — A business needed to process application events and analyse data without managing servers.
Stack — Cloud Run, Pub/Sub, Cloud Functions, Cloud Storage and BigQuery.
Outcome — An event-driven data workflow with scalable processing and analytics.
Six phases, one connected program
Progress from Google Cloud fundamentals to secure, scalable and cloud-native solutions.
Cloud computing concepts, Google Cloud projects, regions, zones, resource hierarchy, billing and core platform services.
Compute Engine, machine types, persistent disks, Cloud Storage, Cloud SQL, Firestore and service selection.
VPC networks, subnets, routes, firewall rules, Cloud NAT, load balancing, private access and hybrid connectivity basics.
IAM roles, service accounts, organisation policies, encryption, security controls, backups, availability and recovery planning.
Google Kubernetes Engine, container images, Artifact Registry, Cloud Run, Cloud Functions and event-driven application patterns.
BigQuery, Pub/Sub, Cloud Monitoring, Cloud Logging, cost optimisation, certification preparation and an end-to-end GCP capstone project.
Get an Industry-Recognized Certificate
A certificate that reflects practical Google Cloud architecture, deployment and operations skills.
- Project-based Awarded after completing practical GCP labs, architecture assignments and a capstone project.
- Shareable Add the certificate directly to your LinkedIn profile and resume.
- Verifiable Every certificate carries a unique ID employers can verify.
- Industry-aligned Mapped to cloud infrastructure, security, containers, data and monitoring skills.
Learn by building cloud solutions
Every module combines Google Cloud concepts with hands-on console, CLI and architecture exercises.
- Project SetupCreate projects, configure billing and organise cloud resources
- Network DesignBuild VPCs, subnets, routes and secure connectivity
- Workload DeploymentDeploy VMs, containers, databases and serverless services
- Security ConfigurationApply IAM, service accounts and firewall controls
- Monitor & OptimiseUse logging, metrics, scaling and cost management practices
Don't just deploy services. Learn to design platforms.
Architecture, security, reliability, scalability, data and cost optimisation are core parts of the program.
Where this course takes you
Learn
Master GCP services, networking, IAM, compute, storage, databases and cloud architecture principles.
Build
Design and deploy secure, resilient and scalable Google Cloud solutions through practical labs.
Portfolio
Create cloud architecture diagrams and working projects that demonstrate your GCP capabilities.
Interview
Prepare for Google Cloud, infrastructure, networking, data and architecture interview discussions.
Apply
Apply for cloud roles with mentor guidance, resume support and profile improvement.
Support that goes beyond the syllabus
Resume / CV
Build a cloud-focused resume highlighting GCP projects, architecture and infrastructure skills.
Mock Interviews
Practice Google Cloud services, architecture scenarios, networking and troubleshooting questions.
Interview Prep
Prepare for cloud design discussions, GCP certification questions and architecture case studies.
Mentorship
Get guidance on architecture diagrams, GCP projects, cloud operations and career progression.
Job Assistance
Access relevant openings for Google Cloud, infrastructure, DevOps and data platform roles.
Profile Guidance
Review your cloud portfolio, architecture diagrams, GitHub and LinkedIn profile before applying.
Alumni Working Across the Industry
A growing network of professionals working across cloud infrastructure, DevOps, data and application teams.
Course Snapshot
Google GCP Cloud Training
Google GCP Cloud Training Program
₹10,000 / full program
No-cost EMI options available
- + Live instructor-led training
- + Google Cloud core services
- + Compute Engine, Cloud Storage and Cloud SQL
- + VPC, IAM and cloud security
- + GKE, Cloud Run and Cloud Functions
- + BigQuery, monitoring and logging
- + Certification preparation
- + Resume, mock interviews and job assistance
- + Certificate of completion
Frequently asked questions
The course covers Google Cloud fundamentals, Compute Engine, Cloud Storage, VPC networking, IAM, Cloud SQL, BigQuery, GKE, Cloud Run, monitoring and cloud architecture.
Students, developers, system administrators, IT professionals, DevOps learners and aspiring cloud engineers can join the course.
Prior GCP experience is not required. Basic computer, networking or IT knowledge is helpful but not mandatory.
Yes. The program includes practical labs for compute, storage, networking, security, databases, containers and serverless services.
Yes. You will learn VPC networks, subnets, routes, firewall rules, Cloud NAT, load balancing and private connectivity.
Yes. The course covers IAM roles, service accounts, permissions, firewall policies, encryption and secure cloud architecture.
Yes. Projects include highly available applications, secure VPC systems, serverless workflows and GCP data platforms.
Yes. The course introduces Google Kubernetes Engine, containers, Cloud Run, Cloud Functions and event-driven application patterns.
The course includes GCP service knowledge, architecture concepts, scenario-based exercises and certification-oriented preparation.
Support includes resume building, mock interviews, cloud architecture preparation, mentorship and job assistance.