Google Cloud Training in Hyderabad
Introduction to Google Cloud Platform
Google Cloud Platform or GCP is the proprietary platform of Google and is offered as a suite of cloud computing services. It leverages the same infrastructure that Google utilizes for its internal requirements for its end-user products. Google Cloud is one of the popular platforms available in the commercial cloud space and is available in various variants — infrastructure as a service, platform as a service, and serverless computing environments. According to Canalys estimates, Google Cloud is one of the fastest-growing cloud providers in the industry and is currently enjoying third place in the commercial cloud space.
Also, as per Gartner Inc., the global end-user spending on public cloud services is expected to rise significantly — a steep increase from previous years — making now the best time to build a career in cloud computing.
Why Learn Google Cloud Platform?
With booming opportunities in Cloud computing, students and professionals alike must get started in this exciting area of knowledge and become certified professionals.
Some of the lucrative learning paths that students can choose to specialize in include Cloud infrastructure, application development, API management, Data engineering and Analytics, and Networking & Security. With thousands of jobs thrown open in this lucrative segment, we at VRIT Solutions have designed the best online Google Cloud training in Hyderabad.
This course covers all the requisite concepts and applications needed to become a thoroughbred professional and make you job-ready. So, what are you waiting for?
Make VRIT Solutions your first choice for Google Cloud Platform training in Hyderabad due to its time-tested training methodology coupled with hands-on practical sessions and live projects. VRIT solutions offer the best-in-class GCP training and GCP job support to offer the right platform to power your career to the next level.
Course Curriculum — Google Cloud Platform (GCP) Training
This Google Cloud training in Hyderabad covers the complete GCP curriculum with hands-on labs and real-time project work:
- What is Cloud Computing? IaaS, PaaS, SaaS explained
- Introduction to Google Cloud Platform (GCP) — architecture and core concepts
- GCP console, Cloud Shell, and command-line tools
- Managing GCP using Google Cloud SDK, Cloud Console, and APIs
- GCP pricing model — understanding billing and cost management
- Google Cloud regions, zones, and global infrastructure
- Google Compute Engine — creating and managing Virtual Machines (VMs)
- VM instance types, machine families, and custom machine types
- Instance templates, managed instance groups, and auto-scaling
- Google App Engine — standard and flexible environments
- Deploying web applications on App Engine
- Cloud Run — serverless container deployments
- Cloud Functions — event-driven serverless computing
- Virtual Private Cloud (VPC) — networks, subnets, and IP addressing
- Firewall rules and network security policies
- Cloud Load Balancing — HTTP(S), TCP, and SSL load balancers
- Cloud DNS — managing domain names on GCP
- Cloud CDN — content delivery and edge caching
- VPN and Cloud Interconnect — connecting on-premises to GCP
- Google Cloud IAM — roles, permissions, and policies
- Service accounts and workload identity
- Cloud Identity — managing users and groups
- Organization policies and resource hierarchy
- Cloud KMS — key management and encryption
- Security Command Center — threat detection and vulnerability scanning
- Cloud Storage — buckets, objects, storage classes (Standard, Nearline, Coldline, Archive)
- Cloud SQL — managed relational databases (MySQL, PostgreSQL, SQL Server)
- Cloud Spanner — globally distributed relational database
- Cloud Firestore — NoSQL document database
- Cloud Bigtable — wide-column NoSQL database for large-scale workloads
- Memorystore — managed Redis and Memcached
- Introduction to Kubernetes — pods, nodes, deployments, services
- GKE cluster architecture — control plane and worker nodes
- Creating and managing GKE clusters
- Deploying containerised applications on GKE
- Helm charts for Kubernetes application management
- GKE auto-scaling — Horizontal Pod Autoscaler, Cluster Autoscaler
- Monitoring GKE with Cloud Monitoring and Cloud Logging
- BigQuery — Google's fully managed data warehouse
- Running SQL queries on large datasets in BigQuery
- BigQuery ML — building ML models directly in BigQuery
- Cloud Dataflow — stream and batch data processing
- Cloud Pub/Sub — real-time messaging and event streaming
- Cloud Dataproc — managed Hadoop and Spark
- Vertex AI — Google's unified ML platform
- Cloud Build — CI/CD pipelines on GCP
- Artifact Registry — managing container images and packages
- Cloud Deploy — managed continuous delivery
- Infrastructure as Code with Terraform on GCP
- Cloud Monitoring, Cloud Logging, and Cloud Trace
- Error Reporting and Cloud Profiler
- Google Cloud certification paths — Associate Cloud Engineer, Professional Cloud Architect, Professional Data Engineer
- Exam preparation strategy and practice questions
- End-to-end live project — deploying a complete cloud application on GCP
- Resume preparation for GCP roles
- Mock interviews with industry professionals
Note: The syllabus listed above is indicative and may include more topics for comprehensive learning.
This course is supplemented by relevant lab exercises, lectures, group discussions as well as extensive hands-on practice sessions.
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Google Cloud Training FAQs | VR IT Solutions
Google Cloud Platform is the third-largest cloud provider globally, powering companies like YouTube, Spotify, Twitter, and thousands of enterprises worldwide. As companies adopt multi-cloud strategies and move away from single-vendor dependency, GCP expertise has become increasingly valuable alongside AWS and Azure skills.
You will cover GCP core services including Compute Engine, Cloud Storage, Cloud SQL, BigQuery, Kubernetes Engine, Cloud Functions, Cloud Run, Identity and Access Management, VPC networking, and real-time GCP architecture and project implementation scenarios.
The training is completed in 60 to 65 days. Morning, evening, and weekend batch options are available for both students and working IT professionals looking to add GCP to their cloud skill set.
The Google Cloud Associate Cloud Engineer is the recommended starting certification, followed by the Professional Cloud Architect and Professional Data Engineer for those who want to specialize further. Our trainers provide complete study materials and mock exam preparation aligned to each certification.
GCP professionals typically earn between 7 and 16 LPA at entry level in India. With 3 to 5 years of hands-on cloud architecture experience, professionals commonly move into the 22 to 45 LPA range in top product companies and technology consulting firms.
Yes, we offer online, classroom, and one-to-one Google Cloud training. Online sessions are conducted live with screen sharing, interactive Q&A, and recorded backups so that you can revisit any topic at your own pace.
Absolutely. VR IT Solutions offers free demo sessions for all courses. You can attend a live class, interact with the trainer, and get a feel for the training quality before making any commitment. Just reach out to our team and we will schedule one for you.
We provide end-to-end placement assistance — from building a job-ready resume to conducting mock interviews with industry experts. Our team actively shares job openings, refers students to hiring companies, and supports you until you land your first role.
Yes. Every trainer at VR IT Solutions has between 8 and 13 years of hands-on industry experience. They have worked on real enterprise projects and bring that practical knowledge directly into the classroom, which makes a significant difference when you face real job interviews.
Course Training
Industry-certified · Real-time projects · 100% Placement Support
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