DevOps Multi-Cloud with AWS & Azure

The DevOps Multi-Cloud with AWS & Azure Program by Mindbox Trainings is an intensive, real-time skill-building initiative tailored for IT professionals, system administrators, and developers aiming to master the complete DevOps ecosystem across leading cloud platforms. Covering AWS and Azure fundamentals, cloud computing, version control, CI/CD pipelines, containerization, orchestration, infrastructure automation, and DevSecOps, this course bridges the gap between development and operations using industry-leading tools that power modern multi-cloud infrastructure.

Program Overview

This full-spectrum DevOps course offers deep, practical insights into every phase of software delivery—from coding and version control to automated testing, infrastructure-as-code, container orchestration, and monitoring. The program equips learners with tools like Git, Jenkins, Docker, Kubernetes, Terraform, Ansible, SonarQube, Nexus, Prometheus, Grafana, and more. Designed around real-world environments, learners will confidently deploy, monitor, secure, and scale applications in production.

Key Features Program

Curriculum / Modules

Module 1 – DevOps Foundations

  • DevOps vs Traditional SDLC
  • Agile and DevSecOps workflows
  • DevOps roles & responsibilities

Module 2 – Networking & IP Addressing

  • OSI and TCP/IP Models
  • Subnetting, CIDR, DNS, DHCP,
  • NATNetwork Protocols overview

Module 3 – AWS & Cloud Computing

  • Virtualization & Cloud Concepts
  • VPC, Subnetting, Routing, Security Groups
  • EC2, EBS, EFS, Snapshots, AMIs, Load Balancers

Module 4 – AWS CLI & Monitoring

  • Auto-Scaling & Bootstrap scripts
  • CloudWatch Alarms
  • ELB configuration & Instance lifecycle

Module 5 – AWS Database & Storage

  • RDS, DynamoDB
  • CloudWatch for metrics
  • AWS S3 usage and versioning

Module 6 – IAM & Policies

  • MFA, Roles, Groups, Policies
  • IAM CLI & ARN understanding

Module 7 – Terraform & IaC

  • Providers, Resources, Modules
  • State Management, Variables
  • Terraform Cloud, CI/CD Integration

Module 8 – Git & Version Control

  • Git CLI, Branching Strategies
  • GitHub, SSH auth, Tags, Cherry Pick
  • Git stash, rebase, resolving conflicts

Module 9 – Maven Build Tool

  • Maven Lifecycle
  • Configuring Profiles and Repositories

Module 10 – Jenkins CI/CD

  • Pipeline Jobs, Groovy scripting
  • Jenkins + Git + Maven + SonarQube + Nexus
  • Jenkins Master-Slave & Email triggers

Module 11 – SonarQube & Nexus

  • Code quality gates
  • Nexus snapshot & release repositories
  • SCM integration with CI

Module 12 – Docker & Containerization

  • Docker CLI, Volumes, Compose
  • Custom Dockerfiles
  • Docker Hub publishing
  • Docker Networking and Swarm

Module 13 – Kubernetes Essentials

  • Pods, ReplicaSets, Deployments
  • Services, Volumes, Secrets, ConfigMaps
  • YAML, Helm, Monitoring with Prometheus + Grafana
  • Kubernetes + Jenkins integration

Module 14 – Ansible Automation

  • Modules, Playbooks, Roles
  • Inventory, Vaults
  • Ansible Tower overview

Module 15 – GitOps & ArgoCD

  • GitOps introduction
  • Deployments via Git
  • Argo CD Application Management

Module 16 – DevSecOps with SonarQube & Trivy

  • Secure Code practices (OWASP Top 10)
  • Static Analysis (SAST)
  • Jenkins Security hardening
  • Trivy for container scanning

Module 17 – Prometheus & Grafana Monitoring

  • Cluster-wide dashboarding
  • Exporters, Alerting
  • Visualization in Grafana

Module 18 – Final Project

  • Full CI/CD pipeline + Docker + Kubernetes + Monitoring
  • DevSecOps integrated workflow

Program Fee
₹ 20,000/- ₹: 25,000/-

This Course Includes

Pipeline Jobs, Groovy scripting


Jenkins + Git + Maven + SonarQube + Nexus


Jenkins Master-Slave & Email triggers

Skills You'll Acquire:

End-to-end CI/CD with Jenkins

Infrastructure automation with Terraform & Ansible

Secure application pipelines with SonarQube and Trivy

Container lifecycle management with Docker

Real-world Kubernetes workload deployment

GitOps workflows with ArgoCD

Advanced Monitoring using Prometheus & Grafana

Cloud provisioning and networking (AWS)

Tools You'll Learn:

Our Expert Trainers

Our Project Work

This section will showcase hands-on projects that integrate the technologies covered in this course:

  • End-to-end deployment pipeline
  • Kubernetes workloads with Helm
  • Real-time monitoring dashboards
  • GitOps integration with ArgoCD
  • Container security scanning via Trivy

Who Can Apply for the Course?

Industry Trends

Annual Salary

₹9–16 LPA

Companies Hiring

Amazon, Cognizant, Deloitte, TCS, ThoughtWorks

Demand

Cloud-native DevOps continues to dominate hiring

Market Growth

DevOps market growing at 24% CAGR

Job Growth

28% YoY in platform and DevSecOps roles

FAQ'S

This program is a comprehensive, hands-on DevOps course covering real-time cloud automation using both AWS and Microsoft Azure. It includes infrastructure provisioning, CI/CD pipelines, container orchestration, monitoring, and security tools designed for modern multi-cloud DevOps roles.

Ideal for IT professionals, DevOps engineers, cloud engineers, and system administrators with at least 1 year of experience. Basic Linux and cloud knowledge is recommended.

Yes, this course covers practical DevOps workflows across AWS (EC2, VPC, IAM, S3, RDS, etc.) and Azure services (Resource Groups, Storage, VMs, DevOps pipelines, etc.).

You’ll gain expertise in Git, Docker, Kubernetes, Jenkins, Terraform, Ansible, SonarQube, Prometheus, Grafana, Nexus, and more—all implemented in AWS and Azure environments.


Absolutely. The curriculum is crafted to meet high-demand DevOps engineer roles, especially those seeking skills in multi-cloud deployment, CI/CD automation, and infrastructure as code (IaC).

Yes. You get complete support including resume building, project explanation, interview preparation, and mock interviews to help you land a DevOps job.

The core training lasts for 4 months, followed by 2 months of dedicated placement support including live mentorship, mock interviews, and project reviews.

You’ll build multi-environment CI/CD pipelines, deploy containerized apps with Kubernetes, create infrastructure using Terraform, implement monitoring, and secure workloads in both AWS and Azure.

Yes. While AWS and Azure are powerful individually, multi-cloud expertise is in high demand. This course gives you practical exposure to both, making you more valuable to modern DevOps teams.

Yes, you will receive a Mindbox Trainings course completion certificate. This validates your skills in AWS, Azure, and modern DevOps tools for recruiters and employers.

Basic understanding is helpful but not mandatory. The program starts from fundamentals and quickly moves into advanced, real-time implementations.

Yes. With 6-month support, interview prep, and real-world project work, the course is structured to make you job-ready for DevOps engineer roles in India and abroad.

DevOps engineers with AWS and Azure expertise typically earn between ₹8–15 LPA in India. With strong project experience, packages can go higher depending on your prior background.

The program includes weekly interview practice, resume reviews, scenario-based project discussions, and Q&A sessions that mimic real hiring rounds.

You can enroll directly through the Mindbox Trainings website or request a callback. Seats are limited due to live mentor support.