About Course

 

Deploy, Automate & Operate Workloads – DevOps with Multi-Cloud

This program is designed for professionals who want to build strong hands-on DevOps skills across Multi-Cloud platforms (AWS, Azure & Google Cloud Platform).

You will learn how to deploy, automate, monitor, and operate real-world applications using industry-standard DevOps tools and practices in multi-cloud environments.

The course focuses on real production scenarios, CI/CD pipelines, automation, containers, Kubernetes, and Infrastructure as Code, preparing you for DevOps Engineer and Multi-Cloud Engineer roles.

What You’ll Learn in This Program

Multi-Cloud Core Infrastructure

  • Provision and manage compute, storage, networking, and IAM on AWS, Azure, and GCP

  • Understand cloud architecture fundamentals and shared responsibility model

  • Design scalable and highly available cloud environments

DevOps & CI/CD Automation

  • Build CI/CD pipelines using Git, GitHub/GitLab, GitHub Actions, Azure DevOps, and Cloud Build

  • Automate application deployments across multi-cloud platforms

  • Implement release strategies, rollbacks, and zero-downtime deployments

Containerization & Kubernetes (Multi-Cloud)

  • Containerize applications using Docker

  • Deploy and manage workloads on EKS, AKS, and GKE (Basics to Intermediate)

  • Understand Kubernetes concepts: Pods, Services, Deployments, ConfigMaps, and Secrets

Networking & Access Control

  • Design cloud networks using VPC / VNet

  • Configure load balancers, firewalls, and security groups

  • Implement IAM and role-based access control in multi-cloud

Monitoring, Logging & Operations

  • Monitor applications and infrastructure using cloud-native monitoring tools

  • Centralized logging and alerting

  • Troubleshoot real production-like issues

Infrastructure as Code & Automation

  • Provision and manage infrastructure using Terraform

  • Reusable and scalable infrastructure design

  • Apply DevOps best practices for infrastructure lifecycle management

Real-World Projects & Job Readiness

  • Hands-on labs with real cloud environments

  • Production-level DevOps use cases

  • Job-oriented skills for DevOps Engineer & Multi-Cloud Engineer roles

Who Should Enroll?

  • Freshers starting a career in DevOps or Cloud

  • System & Application Administrators moving to automation and DevOps

  • Developers transitioning into DevOps roles

  • Professionals targeting DevOps Engineer or Multi-Cloud Engineer positions

 

download syllabus

What Will You Learn?

  • Deploy and manage workloads on AWS, Azure, and Google Cloud Platform
  • Design and operate multi-cloud architectures
  • Build and manage CI/CD pipelines using Git, GitHub/GitLab, GitHub Actions, Azure DevOps, and Cloud Build
  • Automate infrastructure using Terraform
  • Containerize applications using Docker
  • Deploy and manage containers on EKS, AKS, and GKE
  • Work with Kubernetes core concepts (Pods, Services, Deployments)
  • Implement release strategies, rollbacks, and zero-downtime deployments
  • Configure cloud networking (VPC / VNet, load balancers, firewalls)
  • Monitor applications and infrastructure using cloud-native monitoring tools
  • Troubleshoot real-world production issues
  • Gain hands-on experience with real multi-cloud projects

Course Content

Topic-1

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