Multi-Cloud Training in Hyderabad — AWS + Azure + GCP + DevOps end-to-end
The most-asked-for engineer profile in 2026: fluent across AWS, Azure and GCP, with the DevOps toolchain to move workloads between them. Live classroom + online in Ameerpet, real production scenarios, flat Rs.30,000, placement assistance.
Why Multi-Cloud (AWS + Azure + GCP) + DevOps is in demand in 2026
Hyderabad's GCC and product-company landscape has moved decisively to multi-cloud since 2023 — enterprises avoid vendor lock-in, hedge regulatory risk, and run workloads where price-performance is best. That makes the engineer who is genuinely fluent in two or three clouds the most-recruited profile of 2026. Cloud Soft Solutions' Multi-Cloud + DevOps track is the longest-standing in Hyderabad — built around real customer scenarios where an app spans AWS (production), Azure (DR + identity) and GCP (data + BigQuery), with Kubernetes as the portable compute layer and Terraform as the cross-cloud IaC plane.
What you’ll learn
- Map the equivalents across AWS / Azure / GCP — IAM, networking, compute, storage, K8s
- Design a cross-cloud reference architecture (active-active OR active-DR)
- Kubernetes as the portable compute layer — EKS, AKS, GKE differences that bite
- Terraform with multiple providers — workspaces, state, drift across clouds
- Cross-cloud identity — AWS IAM, AAD/Entra, GCP IAM + Workload Identity
- Cost engineering across clouds — Reserved/Commits + Savings Plans + CUDs
- Migration patterns — lift-and-shift vs replatform vs refactor
- Cross-cloud observability — Prometheus + Grafana + OpenTelemetry
Syllabus — modules covered
1. Cloud-equivalence map
- AWS / Azure / GCP — service-by-service mapping
- Pricing model differences
- Reserved capacity programmes compared
2. AWS deep-dive (60 hrs)
- VPC, EC2, IAM, S3, RDS, EKS, Lambda, Route 53, CloudFront
3. Azure deep-dive (55 hrs)
- RG, VNet, AAD/Entra, AKS, App Service, Cosmos, Azure DevOps, Defender
4. GCP deep-dive (40 hrs)
- Projects, VPC, IAM + Workload Identity, GKE, Cloud Run, BigQuery, Vertex AI
5. Kubernetes portability
- EKS vs AKS vs GKE differences
- Workload identity per cloud
- Cluster API for multi-cloud provisioning
6. Terraform multi-provider
- Provider blocks per cloud
- Workspaces + state isolation
- Pipeline patterns for cross-cloud apply
7. Networking across clouds
- VPN + Interconnect + ExpressRoute + DirectConnect
- Transit Gateway / VWAN / Network Connectivity Center
8. Observability + cost
- OpenTelemetry → Prometheus / Grafana
- Cross-cloud cost reporting + tagging discipline
Who should enrol
- AWS or Azure engineers (1-5 yrs) wanting to add the other two clouds
- DevOps engineers needing a portable Kubernetes + Terraform skill set
- Architects designing multi-cloud reference architectures for GCCs
- Senior engineers prepping for AWS / Azure / GCP architect certifications back-to-back
Roles after this course
- Multi-Cloud Architect / Senior Cloud Engineer
- DevOps Engineer with cross-cloud scope
- SRE / Platform Engineer (cross-cloud)
- Cloud Solutions Consultant — pre-sales + delivery
Multi-cloud engineers in India often earn Rs.12–40 LPA at mid-senior levels — multi-cloud is one of the largest pay premia in 2026. Market range, not guaranteed; depends on cert breadth + project depth.
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
Multi-Cloud interview prep
Placements & jobs
Frequently asked questions
Should I learn one cloud first or jump straight to multi-cloud?
If you're a fresher, learn one cloud deeply first (we recommend AWS) — then add Azure + GCP as a second pass. If you already know one cloud at production depth, the Multi-Cloud track gets you to fluency in the other two in 3–4 months.
Why pick Multi-Cloud over a single-cloud certification path?
Single-cloud engineers cap at a certain ceiling in Hyderabad's mid-senior market. Multi-cloud engineers are scarcer and more sought-after — especially for architect roles, GCCs and platform-engineering teams. The pay premium has been consistent since 2023.
What is the Multi-Cloud + DevOps course fee?
Flat Rs.30,000 per single track. The bundle includes the multi-cloud + DevOps full curriculum across 4 months. See /placements/methodology/ for the basis of the fee + placement numbers.
Is the training based on real customer scenarios or just docs?
Real scenarios — drawn from Cloud Soft Solutions' work with enterprise customers since 2011. Every module ends with a hands-on lab on a sandbox account (yours, funded by us during the course).
Do I get a certificate of completion + placement support?
Yes — Cloud Soft Solutions completion certificate (LinkedIn-friendly) + full placement assistance: resume polish, mock interviews (multiple rounds), direct referrals to 2,000+ partner companies. Placement itself is not guaranteed.
Can I do this online if I'm not in Hyderabad?
Yes — same instructor, same labs, full recordings. Live online batches run in parallel with classroom. The fee is identical.
Ready to enrol?
New Multi-Cloud batches start every Monday in our Ameerpet campus. Seats are capped — reserve yours by booking a free demo or calling the admissions desk.