Cloud Computing Course in Visakhapatnam
Learn professional cloud infrastructure workflows for deployment, scaling, automation, and DevOps using AWS, Microsoft Azure, Google Cloud Platform, Docker, Kubernetes, Terraform, and CI/CD pipelines.
Why Learn Cloud Computing?
Learn AWS, Azure, and GCP together in one program
This course covers all three major cloud platforms so students can deploy, manage, and scale infrastructure across any environment — from startups using AWS to enterprise teams on Azure and GCP.
Build practical DevOps workflows used in real engineering teams
Students learn containers with Docker, orchestration with Kubernetes, infrastructure as code with Terraform, and automation with CI/CD pipelines — skills that are critical in modern cloud-native development.
Deploy real-world applications through project-based learning
Every learning stage leads to practical deployments such as cloud-hosted web apps, containerized microservices, automated pipelines, and infrastructure provisioned with Terraform on live cloud accounts.
Cloud Skill Snapshot
EC2, S3, Lambda, RDS, IAM, VPC, and managed services
Virtual machines, storage, Kubernetes service, and cloud functions
Containerization, orchestration, scaling, and cluster management
Infrastructure as code, automated pipelines, and continuous delivery
Cloud Computing Curriculum
The curriculum is organized into clear learning stages across AWS, Azure, GCP, and DevOps tools so students progress from cloud fundamentals to advanced infrastructure automation and real-world deployment projects.
Begin with cloud computing concepts and understand the role of AWS, Azure, and GCP in modern application infrastructure.
- Public, private, and hybrid cloud models — IaaS, PaaS, SaaS explained
- Introduction to cloud regions, availability zones, and global infrastructure
- Cloud use cases in web hosting, data storage, machine learning, and DevOps
Learn the AWS ecosystem and build, configure, and manage core AWS services on a live account.
- EC2, S3, RDS, IAM, VPC, Route 53, Elastic Load Balancer, and Auto Scaling
- Lambda serverless functions, CloudWatch monitoring, and SNS/SQS messaging
- AWS CLI, billing management, and deploying scalable web applications on AWS
Build a strong foundation in Microsoft Azure services for enterprise-grade cloud deployments.
- Azure Virtual Machines, Blob Storage, Azure SQL, App Services, and Azure Functions
- Azure Active Directory, role-based access control, and network security groups
- Azure Portal, Azure CLI, and deploying web apps and databases on Azure
Develop practical skills in Google Cloud for modern data-driven and containerized application deployments.
- Compute Engine, Cloud Storage, Cloud SQL, Cloud Run, and BigQuery
- GKE (Google Kubernetes Engine), IAM, and VPC networking on GCP
- gcloud CLI, Cloud Console, and deploying containerized workloads on GCP
Move into cloud-native DevOps with containers, orchestration, and automated deployment pipelines.
- Docker images, containers, Dockerfile, Docker Compose, and container registries
- Kubernetes pods, deployments, services, ingress, Helm charts, and cluster scaling
- CI/CD pipelines using GitHub Actions, Jenkins, or GitLab CI for automated delivery
Apply cloud and DevOps skills across real deployment projects using Terraform for infrastructure as code.
- Terraform providers, resources, state files, modules, and multi-cloud provisioning
- End-to-end project: deploy a containerized app on AWS/Azure/GCP with Terraform and CI/CD
- Cost optimization, monitoring with CloudWatch or Azure Monitor, and production-ready architecture review
Tools You'll Master
After This Program, You Will:
Deploy and manage scalable applications on AWS, Azure, and GCP using cloud-native services and best practices
Containerize applications with Docker and orchestrate them at scale using Kubernetes on cloud clusters
Provision and automate cloud infrastructure using Terraform modules and reusable IaC configurations
Build and manage CI/CD pipelines for continuous integration, automated testing, and zero-downtime deployments
Configure cloud networking, IAM roles, security groups, and compliance controls across major cloud providers
Build a job-ready portfolio with real deployments for Cloud Engineer, DevOps Engineer, and SRE roles
Where This Takes You
Cloud Engineer
Design, deploy, and manage cloud infrastructure on AWS, Azure, or GCP
DevOps Engineer
Automate delivery pipelines, container workflows, and infrastructure provisioning
Site Reliability Engineer
Ensure system availability, scalability, and performance in production cloud environments
Cloud Architect
Plan and architect multi-cloud and hybrid cloud solutions for enterprise systems
Your Journey — Week by Week
Weeks 1–2
Cloud fundamentals, models, and global infrastructure
Weeks 3–8
AWS, Azure, and GCP core services and deployments
Weeks 9–10
GCP deep dive and multi-cloud comparisons
Weeks 11–13
Docker, Kubernetes, and CI/CD automation
Weeks 14–16
Terraform projects and real-world cloud deployment
Ready to Master Cloud Computing?
Next batch starts June 2026. Limited seats available. Book your free demo class and explore how we teach AWS, Azure, GCP, Docker, Kubernetes, and Terraform through hands-on, real-world cloud deployments.