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Master Multi-Cloud DevOps — AWS, Azure, GCP, Kubernetes & Terraform

Master Multi-Cloud DevOps for data engineers — Docker, Kubernetes, Terraform, GitHub Actions, Jenkins and cloud-native CI/CD across AWS, Azure and GCP. Taught by Trainer Venu.

⏱️ 60 Hours
📦 9 Modules
🔬 20+ Labs
🗂️ 3 Projects
🌐 Live Online
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No prior experience needed
7-day money-back guarantee
Placement support included
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₹32,000
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🎥 Live Online + Recorded Sessions
☁️ Real Cloud Account Labs
📂 3 End-to-End Projects
📜 Certificate of Completion
🤝 Placement Support
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✅ Free Demo Before Enroll
60
Training Hours
9
Modules
20+
Hands-on Labs
3
Projects
1200+
Students Placed
Who Is This For

Is This Course Right For You?

🔄
Data Engineers
Add DevOps skills — Docker, K8s, CI/CD — to deploy data pipelines professionally.
☁️
Cloud Engineers
Work across AWS, Azure and GCP with unified IaC and DevOps practices.
⚙️
DevOps Engineers
Master multi-cloud infrastructure automation and container orchestration.
🎓
Freshers
DevOps + Cloud is one of the highest-paying combinations for freshers.
🔥
Databricks Engineers
Deploy Databricks pipelines with Terraform, Docker and GitHub Actions.
🏢
Platform Engineers
Build internal developer platforms on Kubernetes across multiple clouds.
Tools Covered
🐳 Docker
☸️ Kubernetes (K8s)
🏗️ Terraform
⚙️ Ansible
🔄 GitHub Actions
🏗️ Jenkins
☁️ AWS EKS / ECS
🔷 Azure AKS
🌐 GCP GKE
📊 Prometheus + Grafana
🔐 Vault (HashiCorp)
🌿 GitLab CI
📋 Helm Charts
🔍 ArgoCD
📅 Upcoming Batches
Morning Batch 1
6:00 – 7:30 AM IST
Mon–Fri
Morning Batch 2
7:30 – 9:00 AM IST
Mon–Fri
Evening Batch
7:30 – 9:00 PM IST
Filling Fast
Weekend Batch
Sat & Sun
Starting Apr 20
Talk to Trainer Venu
Free demo — no commitment needed
💬 WhatsApp Now 📞 +91-8500002025 📞 +91-8500002025
Course Curriculum

9 Modules — Key Concepts

Here are the core topics you'll master. Each module includes hands-on labs with real Multi-Cloud DevOps access.

Module 01
Docker & Containerization
  • Docker images, containers, Dockerfiles
  • Multi-stage builds for optimized images
  • Docker Compose — multi-container apps
  • Docker networking and volumes
  • Container registry — ECR, ACR, GCR, DockerHub
Module 02
Kubernetes (K8s)
  • K8s architecture — Master, Worker, etcd
  • Pods, Deployments, Services, Ingress
  • ConfigMaps and Secrets management
  • Persistent Volumes and Storage Classes
  • Horizontal Pod Autoscaling (HPA)
Module 03
Terraform — Infrastructure as Code
  • Terraform HCL — resources, variables, outputs
  • Terraform state management — local and remote (S3/GCS)
  • Terraform modules — reusable IaC patterns
  • Terraform workspace — multi-environment deployments
  • Terraform with AWS, Azure, GCP providers
Module 04
CI/CD Pipelines
  • GitHub Actions — workflows, jobs, steps, runners
  • Jenkins — pipeline-as-code (Jenkinsfile)
  • GitLab CI — stages, jobs, artifacts
  • ArgoCD — GitOps CD for Kubernetes
  • Blue/Green and Canary deployment strategies
Module 05
Multi-Cloud Architecture
  • AWS EKS vs Azure AKS vs GCP GKE
  • Cross-cloud networking and VPN
  • Multi-cloud cost optimization strategies
  • Cloud-agnostic IaC with Terraform
  • Data pipeline deployment across clouds
Module 06
Monitoring & Security
  • Prometheus — metrics collection for K8s
  • Grafana — dashboards and alerting
  • ELK Stack — log aggregation and analysis
  • HashiCorp Vault — secrets management
  • RBAC and network policies in Kubernetes
M01
Linux & Scripting for DevOps
⏱️ 4 Hours● Beginner
▾
Linux commands — file system, processes, networking
Shell scripting — variables, loops, functions
Cron jobs — scheduled task automation
SSH — key-based authentication
Python scripting for DevOps automation
sed, awk, grep — text processing tools
🔬 Linux Admin Lab📝 Quiz: Linux Fundamentals
M02
Docker — Containerization
⏱️ 7 Hours● Beginner
▾
Docker architecture — daemon, CLI, registry
Dockerfile — FROM, RUN, COPY, CMD, ENTRYPOINT
Building and tagging Docker images
Docker Compose — define multi-container apps
Docker networking — bridge, host, overlay
Docker volumes — persistent data storage
Docker Hub, ECR, ACR, GCR — image registries
Multi-stage builds for smaller images
🔬 Dockerize a Data Pipeline📝 Quiz: Docker
M03
Kubernetes (K8s) Core
⏱️ 8 Hours● Intermediate
▾
K8s architecture — API Server, Scheduler, etcd, kubelet
Pods — smallest deployable unit
Deployments — rolling updates and rollbacks
Services — ClusterIP, NodePort, LoadBalancer
Ingress — HTTP routing rules
ConfigMaps and Secrets
Namespaces — multi-tenancy in K8s
RBAC — role-based access control
🔬 Deploy App on K8s🔬 K8s RBAC Setup
M04
Kubernetes Advanced
⏱️ 6 Hours● Advanced
▾
StatefulSets — for databases and stateful apps
DaemonSets — run on every node
HPA — Horizontal Pod Autoscaling
Persistent Volumes and Storage Classes
Helm — K8s package manager
Custom Resource Definitions (CRDs)
K8s NetworkPolicies — traffic control
Karpenter — node autoprovisioning
🔬 Helm Chart Deployment
M05
Terraform — Infrastructure as Code
⏱️ 8 Hours● Intermediate
▾
Terraform HCL syntax — providers, resources, data sources
Variables, locals, outputs, conditions
Terraform state — local, S3 backend, state locking
Terraform modules — reusable components
Terraform workspace — dev/staging/prod
Terraform with AWS — EC2, S3, VPC, EKS
Terraform with Azure — AKS, VNET, ADLS
Terraform with GCP — GKE, GCS, BigQuery
Terragrunt — DRY Terraform configurations
🔬 Multi-Cloud IaC with Terraform🏗️ Project: Full Cloud Infra with Terraform
M06
CI/CD Pipelines
⏱️ 7 Hours● Intermediate
▾
GitHub Actions — event triggers, workflows, jobs
GitHub Actions — Docker build and push to ECR
GitHub Actions — Terraform plan/apply pipeline
Jenkins — declarative pipeline syntax
Jenkins agents — distributed builds
GitLab CI — stages, runners, artifacts
ArgoCD — GitOps continuous delivery
Blue/Green and Canary deployments with K8s
🔬 GitHub Actions CI/CD Pipeline🏗️ Project: Full CI/CD Data Pipeline
M07
Multi-Cloud Kubernetes (EKS/AKS/GKE)
⏱️ 7 Hours● Advanced
▾
AWS EKS — managed Kubernetes on AWS
EKS node groups — managed and self-managed
Azure AKS — managed Kubernetes on Azure
AKS node pools and VMSS integration
GCP GKE — Autopilot and Standard modes
Multi-cloud K8s — Rancher or Anthos
Service mesh — Istio basics for microservices
Cross-cloud networking — Transit Gateway, ExpressRoute
🔬 EKS Cluster Deployment
M08
Monitoring, Logging & Security
⏱️ 6 Hours● Advanced
▾
Prometheus — scrape configs, metrics, alerting rules
Grafana — dashboards for K8s and data pipelines
Loki — log aggregation for K8s
Elasticsearch + Kibana — log analysis
HashiCorp Vault — secrets management
AWS Secrets Manager / Azure Key Vault
OPA Gatekeeper — policy enforcement on K8s
CIS benchmarks for K8s security
🔬 Prometheus + Grafana Stack
M09
DevOps Projects & Career Prep
⏱️ 7 Hours● Advanced
▾
Project 1 — Dockerize a PySpark data pipeline with CI/CD
Project 2 — Deploy Airflow on EKS with Helm and Terraform
Project 3 — Multi-cloud: IaC + K8s + GitOps with ArgoCD
DevOps interview questions — Top 50
Cloud certifications roadmap — CKA, AWS DevOps Pro, Azure DevOps
Resume writing for DevOps + Cloud roles
🏗️ 3 Real DevOps Projects📝 Interview Prep
📊 Course Summary
Duration60 Hours
Modules9 Modules
Labs20+ Labs
Projects3 Projects
ModeLive + Recorded
LanguageEnglish / Telugu
Still Deciding?
Attend a free demo — no commitment
💬 WhatsApp Trainer Venu 📞 +91-8500002025
Career Outcomes

Multi-Cloud DevOps Professionals Earn Top Salaries

Multi-cloud DevOps engineers with Kubernetes and Terraform expertise are among the highest-paid professionals. The combination of cloud + containers + IaC is extremely sought after.

Entry Level
₹10–18 LPA
0–2 Years
Mid Level
₹18–35 LPA
2–5 Years
Senior Level
₹35–80+ LPA
5+ Years
Student Success Stories

1200+ Professionals Placed at Top Companies

★★★★★
"The Terraform multi-cloud and GitHub Actions CI/CD modules were exceptional. I can now deploy data pipelines professionally on any cloud. Got placed at Amazon!"
RK
Raj Kumar
Cloud Eng → DevOps Engineer
✅ Amazon · ₹26 LPA
★★★★★
"EKS + ArgoCD GitOps module was exactly what enterprise DevOps teams use. Trainer Venu explained every concept with practical examples!"
PN
Priya Nair
Dev → DevOps Engineer
✅ Microsoft · ₹30 LPA
★★★★★
"Excellent course for data engineers wanting to add DevOps skills. Docker + K8s + Terraform is now in my resume and got me 2 offers!"
MR
Manoj Reddy
Data Eng → Cloud DevOps
✅ Wipro · ₹20 LPA
View All Placement Stories →
FAQs

Frequently Asked Questions

Is this course for data engineers or DevOps engineers? ▾
Both! This course is designed for data engineers who want to add DevOps skills AND for DevOps engineers working with data infrastructure. All examples are data-engineering focused.
Do I need cloud accounts for labs? ▾
Yes — you'll need AWS, Azure or GCP accounts. Most labs use the free tier. We guide you through setup and ensure costs stay minimal using free-tier resources and temporary clusters.
What is the difference between Terraform and Ansible? ▾
Terraform is for infrastructure provisioning (create VMs, K8s clusters, networks). Ansible is for configuration management (install software, configure servers). We cover both and when to use which.
Does this cover CKA (Certified Kubernetes Administrator) exam? ▾
Modules 3 and 4 cover most CKA topics. While not a dedicated CKA prep course, many students have used this training as a foundation for CKA certification.
Is GitOps / ArgoCD covered? ▾
Yes — Module 6 covers ArgoCD for GitOps continuous delivery to Kubernetes, including real pipeline deployments with GitHub Actions and ArgoCD together.
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