Lab 01
Enterprise Network & Compute Pipeline
Build a custom-mode VPC via gcloud, private subnets, Cloud NAT and secure compute access with Identity-Aware Proxy — no open public IPs.
Become a Google Cloud engineer in 14 weeks.
Mentor-led GCP training built around real production architectures — IAM, GKE, BigQuery, Vertex AI and Terraform. Ship 7+ portfolio projects. Get placed with 150+ hiring partners.
0% EMI availablePlacement guaranteeGCP sandbox credits
GCP Cloud Engineer Track
30-min call · no pressure · get a personal roadmap
14 wks
Cohort length
72+
Live labs
9.3/10
Alumni rating
94%
Placement rate
Alumni working at
FlipkartSwiggyRazorpayPhonePeFreshworksZomatoCredPostmanMeeshoGroww
Outcomes
What you'll be able to do on day one at your new job
Every module ends with a graded lab that mirrors what platform teams actually ship. No slides-only theory.
Architect production-grade GCP environments using Organizations, Folders & IAM least-privilege.
Provision auto-scaling, self-healing compute fleets with MIGs + HTTP Load Balancing.
Design custom-mode VPCs, firewalls, Cloud NAT and secure access via IAP tunnels.
Choose the right database — Cloud SQL, Spanner, Firestore, Bigtable — for the workload.
Deploy microservices on GKE Autopilot, Cloud Run, and event-driven Cloud Functions.
Run multi-terabyte analytics with BigQuery, streaming pipelines with Pub/Sub.
Ship reproducible infra using Terraform with proper state and module patterns.
Instrument apps end-to-end with Cloud Monitoring, Logging & SLO-based alerting.
14-week curriculum
Get the detailed syllabus PDFSeven modules. One production-shaped path.
- Module 01Weeks 1–2
GCP Resource Hierarchy, IAM & Billing
Set up an enterprise-grade cloud org from scratch and manage access safely.
- Organizations, Folders, Projects, Resources
- Google Accounts, Service Accounts, Groups
- Primitive, Predefined & Custom IAM roles
- gcloud CLI, Cloud Shell & Editor
- Budgets, alerts & billing export to BigQuery
- Module 02Weeks 3–4
Core Infrastructure & Compute
Provision virtual hardware and build automated, self-healing servers.
- GCE machine families & persistent disks
- Spot VMs & custom machine types
- Startup scripts & custom images
- Managed Instance Groups + autohealing
- Horizontal autoscaling in production
- Module 03Weeks 5–6
VPC Networking & Load Balancing
Design global networks with stateful rules and optimized traffic flow.
- Auto vs Custom-mode VPC networks
- Regional subnets & dynamic routing
- VPC Firewall ingress/egress rules
- Premium vs Standard network tiers
- HTTP(S), TCP/UDP Load Balancers
- Private Google Access
- Module 04Weeks 7–8
Storage & Managed Databases
Pick the right data plane for real enterprise access patterns.
- GCS buckets, versioning & lifecycle
- Standard, Nearline, Coldline, Archive
- Cloud SQL — MySQL, Postgres, SQL Server
- Cloud Spanner — global relational
- Firestore & Cloud Bigtable
- Module 05Weeks 9–10
Containers & Cloud-Native Platforms
Package, orchestrate and launch microservices at scale.
- Artifact Registry & private Docker images
- GKE Standard vs Autopilot
- Cloud Run serverless microservices
- Event-driven Cloud Functions
- Service-to-service auth patterns
- Module 06Weeks 11–12
Data Analytics & Modern AI
Use GCP's analytical engines for serverless warehousing & AI loops.
- BigQuery + BigQuery ML
- Pub/Sub streaming pipelines
- Vertex AI — build, tune, deploy
- Decoupling microservices
- Module 07Weeks 13–14
Operations, Observability & Terraform
Trace bottlenecks, enforce governance and codify your infrastructure.
- Cloud Monitoring dashboards & SLOs
- Cloud Logging filters & long-term audit
- Alerting & incident routing
- Terraform modules, state & CI/CD
Mandatory capstone labs
Three architectures you'll actually ship
Lab 02
Self-Healing Web Fleet Architecture
Deploy an auto-scaling Managed Instance Group behind an HTTP Load Balancer that spins up VM twins on CPU pressure or failing health checks.
Lab 03
Serverless Microservice on Cloud Run
Dockerize a web app, push to Artifact Registry, and launch it on Cloud Run wired to an isolated Cloud SQL database — production-shaped.
Experienced faculty
Learn from engineers who've operated GCP at scale
Every instructor has 8+ years in production cloud roles at companies whose logos you already know.
A
Arjun Nair
Lead Instructor · ex-Google Cloud
12 yrs. Built billing & IAM tooling used across the org. Google Cloud Certified Professional Architect.
M
Meera Iyer
Data & AI Faculty · ex-Freshworks
Ran BigQuery + Vertex AI pipelines processing 40TB/day. Speaks at GDG Bangalore.
V
Vikram Rao
SRE Mentor · ex-Razorpay
Owned Kubernetes fleet for payments. Wrote the Terraform modules powering 3 prod regions.
1,800+
Alumni placed
150+
Hiring partners
8 yrs
Training experience
12
Max cohort size
Student stories
Real placements. Real hikes. Real portfolios.
"I came in as a Java backend dev with zero cloud exposure. By week 10 I was designing GKE clusters in mock interviews. Signed a Cloud Engineer offer 3 weeks before the cohort ended."
S
Sneha Kulkarni
Cloud Engineer · fintech, Bangalore
"The Terraform + IAM modules alone were worth it. My team lead asked who trained me — that's when I knew the curriculum was current."
R
Rahul Deshmukh
DevOps Engineer · SaaS unicorn
"Mock interviews with the faculty are ruthless. They break your architecture until you can defend every choice. Real interviews felt easy after that."
F
Fatima Sheikh
Site Reliability Engineer
"I loved that every lab ran in my own GCP sandbox — not slides. Recruiters could see the projects in my GitHub, not just certifications."
N
Nikhil Menon
Cloud Consultant · Big 4
Certification prep included
Walk out cert-ready — not just job-ready.
Two dedicated cert-prep weeks with mock exams, question banks and 1:1 doubt clearing. 87% of our alumni pass their first GCP cert on the first attempt.
Associate Cloud Engineer (ACE)
Professional Cloud Architect (PCA)
Professional Cloud DevOps Engineer
Professional Data Engineer (fundamentals)
FAQ
Everything parents & partners ask
Do I need cloud experience before joining?
No. We start from GCP fundamentals — IAM, projects, gcloud — and ramp to production architectures. A basic comfort with Linux and one programming language is enough.
Is the training online or in-person?
Hybrid. Weekday live sessions are online. Weekend labs, mock interviews and 1:1 mentor reviews happen at our HSR Layout campus in Bangalore (or online if you're remote).
Do I get access to real GCP for the labs?
Yes. Every student gets a sandbox GCP project with credits. Every mandatory lab is graded on your own console, not a simulator.
Will this prepare me for GCP certifications?
Yes. The curriculum covers 100% of the Associate Cloud Engineer and ~85% of Professional Cloud Architect exam objectives. We run 2 dedicated cert prep weeks.
What's the placement support?
Resume rewrites, 3 mock interviews per learner, portfolio reviews and direct referrals to 150+ hiring partners. Placement support continues until you land the role.
What's the fee and are EMIs available?
Fee is ₹85,000 all-inclusive. 0% interest EMIs across 6, 9 and 12 months. Scholarships available for women returnees and students from tier-3 cities.
Next cohort · Aug intake
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