AI-Sphere
AI-Sphere

DevOps and Cloud Computing

Become a cloud-ready DevOps engineer — automate, containerize, deploy & scale applications

12 weeks • 50+ hours
12 Modules • 75+ Resources

Course Overview

This specialization teaches how modern companies build, deliver & maintain software at scale — using automation, CI/CD, cloud services, containerization, infrastructure as code & monitoring systems.

Hands-on labs and real deployments ensure you gain practical DevOps engineering skills needed for high-performance cloud environments.

Topics Covered

Introduction to DevOps & Cloud Computing
Linux Essentials & Shell Scripting
Git, GitHub & Version Control Workflows
CI/CD Pipelines with GitHub Actions & Jenkins
Docker Containers & Image Management
Kubernetes — Deployments, Scaling & Clusters
Infrastructure as Code with Terraform
AWS Core Services — EC2, S3, IAM, VPC, Lambda
Azure & GCP Cloud Fundamentals
Monitoring, Logging & Observability (Grafana, Prometheus)
Security, Networking & Cost Optimization
Real-World Cloud Deployments & DevOps Automation

What You'll Learn

Build and manage automated CI/CD pipelines for applications.
Deploy scalable & containerized services using Docker & Kubernetes.
Provision and configure cloud infrastructure on AWS, Azure & GCP.
Implement Infrastructure as Code using Terraform.
Monitor, secure & optimize production cloud systems.