GCP Training in Hyderabad — Google Cloud, GKE, Vertex AI & DevOps
Live instructor-led Google Cloud course in Ameerpet, Hyderabad. IAM, VPC, GCE, Cloud Run, GKE, Cloud Storage, BigQuery, Vertex AI, Cloud Build + Terraform — built on real workloads. Flat Rs.30,000, classroom + live online, 100% placement assistance, 24/7 AI tutor.
Why Google Cloud Platform (GCP) is in demand in 2026
Google Cloud is the fastest-growing of the three major clouds in India, with strong demand in data-heavy and AI-first teams — analytics on BigQuery, data platforms, and Vertex AI / GenAI workloads. Hyderabad's product companies and GCCs increasingly run GCP alongside AWS/Azure, so the multi-cloud engineer who can also own GKE, Cloud Run and a BigQuery + Vertex AI data stack is highly employable. This track goes past the GCP marketing surface into the services teams actually run in production — GKE networking, IAM and workload identity, Cloud Build pipelines and Terraform for GCP.
What you’ll learn
- GCP projects, IAM, service accounts and Workload Identity (the right way)
- VPC design — subnets, firewall rules, Cloud NAT, Private Google Access, Shared VPC
- Compute — GCE, managed instance groups, Cloud Run (serverless containers)
- GKE deep — cluster build, node pools, Workload Identity, ingress, autoscaling
- Storage + data — Cloud Storage, Cloud SQL, Firestore, and BigQuery for analytics
- Vertex AI — training, endpoints, and GenAI on Google models
- DevOps on GCP — Cloud Build, Artifact Registry, Terraform for GCP, GitOps
- Observability + cost — Cloud Monitoring/Logging, SLOs, billing + budget controls
Syllabus — modules covered
1. GCP foundations + IAM
- Projects, folders, org hierarchy
- IAM roles + service accounts
- Workload Identity Federation
- Billing, budgets + quotas
2. Networking (VPC)
- VPC + subnets + firewall rules
- Cloud NAT + Cloud Router
- Shared VPC + VPC peering
- Private Google Access + PSC
- Cloud Load Balancing
3. Compute — GCE + Cloud Run
- GCE instances + MIGs + autoscaling
- Images + startup scripts
- Cloud Run (serverless containers)
- Cloud Functions
4. Containers — GKE
- GKE cluster build (Standard + Autopilot)
- Node pools + autoscaling
- Workload Identity + RBAC
- Ingress + Gateway API
- GKE networking + ExternalDNS
5. Storage + data + BigQuery
- Cloud Storage classes + lifecycle
- Cloud SQL + Firestore
- BigQuery — datasets, SQL, partitioning
- Dataflow / Pub-Sub intro
6. AI on GCP — Vertex AI
- Vertex AI training + endpoints
- GenAI on Gemini models
- Model registry + pipelines
- RAG on GCP (vector search)
7. DevOps + IaC on GCP
- Cloud Build pipelines
- Artifact Registry
- Terraform for GCP
- GitOps + Config Connector
- Blue/green + canary on GKE
8. Observability + reliability
- Cloud Monitoring + Logging
- SLOs + error budgets
- Alerting policies
- Cost + billing optimisation
Who should enrol
- Freshers targeting cloud / data / DevOps roles on Google Cloud
- AWS or Azure engineers adding GCP for multi-cloud roles
- Data / analytics engineers who want BigQuery + Vertex AI depth
- DevOps engineers who want GKE + Cloud Build + Terraform on GCP
Roles after this course
- GCP Cloud Engineer / Cloud Support Engineer
- GCP DevOps / Platform Engineer (GKE + Cloud Build)
- Data Engineer (BigQuery / Dataflow) with GCP focus
- Multi-Cloud Engineer (AWS + Azure + GCP)
GCP engineers in India typically command Rs.6–30 LPA depending on experience, GKE/BigQuery depth and certification (market range, not guaranteed; depends on experience and interview performance).
Fee, format & placement assistance
- Fee: flat Rs.30,000 — same for classroom (Ameerpet, Hyderabad) and live online
- Group rate: 15% off for 3+ enrolments together
- Scholarship seats: available for genuine career switchers — ask the admissions desk
- Format: live instructor-led classroom in Ameerpet, OR live online (same instructor) — recordings included
- Placement: 100% placement assistance — resume + LinkedIn + mock interviews + direct MNC referrals. Placement is not guaranteed; it depends on your interview performance and market conditions. See the methodology page for the basis of every published number.
- Course assets: lifetime LMS access, 24/7 AI tutor, capstone-project review
Related courses & programs
GCP interview prep
Placements & jobs
Frequently asked questions
How long is the GCP course and what does it cover?
The standalone GCP track runs about 50 hours of live instruction over 6–8 weeks — IAM, VPC, GCE, Cloud Run, GKE, Cloud Storage, BigQuery, Vertex AI, Cloud Build + Terraform. The Multi-Cloud + DevOps bundle (AWS + Azure + GCP) runs ~4 months. Lifetime LMS access and a 24/7 AI tutor are included.
Is GCP worth learning if AWS and Azure are bigger in India?
Yes — GCP is the fastest-growing cloud in India and dominates data + AI workloads (BigQuery, Vertex AI). Most teams run multi-cloud, so adding GKE + BigQuery + Vertex AI to an AWS/Azure base makes you harder to replace, not easier.
Is the GCP training in Ameerpet classroom or online, and what's the fee?
Both — classroom at the Ameerpet campus (513, 5th Floor, Aditya Enclave, beside Ameerpet metro) and live online in parallel. Flat Rs.30,000 (same for both), 15% off for group enrolment (3+). Claim methodology at /placements/methodology/.
Does it prepare me for Google Cloud certification?
Yes — the syllabus maps to Associate Cloud Engineer and Professional Cloud DevOps / Architect tracks. Practice scenarios are bundled; the certification voucher is booked directly with Google and isn't included in the fee.
Do I need prior cloud experience?
No. We start from Linux + networking fundamentals. Non-IT switchers get a fresher onboarding track before the live GCP classes begin.
Do you provide placement support for GCP roles?
Yes — 100% placement assistance: resume + LinkedIn, mock interviews and referrals to our 2,000+ partner companies. Placement itself is not guaranteed; it depends on your interview performance and market conditions.
Ready to enrol?
New GCP batches start every Monday in our Ameerpet campus. Seats are capped — reserve yours by booking a free demo or calling the admissions desk.