Team background

Learn from top industry professionals

Multi-Cloud (AWS / Azure) with DevOps Powered by AI

Learn Multi-Cloud DevOps on AWS & Azure with AI-driven automation. Build CI/CD pipelines, containers, Kubernetes, and cloud infrastructure. Gain job-ready skills through real-world projects.

₹6–12 LPA

Avg. DevOps Engineer salary

20K+ jobs

Active AWS & Azure DevOps openings

22–30% growth

Annual Cloud & DevOps demand

1M+ Cloud-DevOps roles

Across AWS, Azure & AI Ops

45% New roles

Driven by cloud & automation

Multi-Cloud (AWS / Azure) with DevOps Powered by AI

Introduction

Multi-Cloud (AWS / Azure) with DevOps Powered by AI trains you to design, deploy, and manage scalable cloud systems using intelligent automation. Learn CI/CD pipelines, Docker, Kubernetes, Terraform, monitoring, configuration management, and AI-driven operations across AWS and Azure.Work on real-world projects to build secure infrastructure, optimize performance, reduce costs, and become job-ready for high-demand DevOps roles in modern enterprises.

Multi-Cloud (AWS / Azure) with DevOps Powered by AI

Module 1 – Cloud & DevOps Foundations

Cloud & DevOps Basics

  • Cloud computing fundamentals
  • IaaS, PaaS & SaaS
  • Public, Private & Hybrid cloud
  • High availability, scalability & elasticity
  • DevOps overview & CI/CD concepts
Module 2 – Linux for DevOps

Linux Essentials

  • Linux basics & architecture
  • File commands & VIM editor
  • Users, groups & permissions
  • Package management, GREP & SED
Module 3 – Version Control with Git & GitHub

Git & GitHub

  • Git concepts & workflows
  • Branching, merging & conflict resolution
  • GitHub repositories & pull requests
  • Access control & repository management
Module 4 – AWS Core Services

AWS

  • EC2 & VPC
  • S3, EBS & EFS
  • IAM & RDS
  • Load balancers & auto scaling
Module 5 – Azure Core Services

Azure

  • Regions & availability zones
  • Virtual machines & scale sets
  • Virtual networks & NSGs
  • Azure load balancer
Module 6 – Multi-Cloud Storage & Networking

Multi-Cloud Architecture

  • AWS S3 vs Azure storage accounts
  • Blob, file & table storage
  • Storage lifecycle (hot, cool, archive)
  • VNet peering & traffic management
Module 7 – CI/CD with Jenkins & Cloud DevOps

CI/CD Pipelines

  • Jenkins setup & architecture
  • Scripted & declarative pipelines
  • Webhooks & automation
  • AWS CodeCommit, CodeBuild, CodeDeploy & CodePipeline
  • Azure Boards, Repos & Azure DevOps
Module 8 – Containerization with Docker

Docker

  • Docker architecture & commands
  • Images, containers & volumes
  • Dockerfile & custom images
  • Docker Compose & Swarm
Module 9 – Kubernetes (EKS & AKS)

Kubernetes

  • Kubernetes architecture
  • Pods, deployments & services
  • Scaling & load balancing
  • AWS EKS & Azure AKS
Module 10 – Infrastructure as Code (Terraform)

Terraform

  • Terraform basics & workflow
  • AWS & Azure resource provisioning
  • VMs, VNets, storage & load balancers
  • Terraform workspaces
Module 11 – Configuration & Monitoring

Monitoring & Automation

  • Ansible playbooks & roles
  • YAML fundamentals
  • Prometheus monitoring
  • Grafana dashboards
Module 12 – AI-Powered DevOps & Automation

AI Ops

  • AI-assisted CI/CD pipelines
  • Intelligent monitoring & alerts
  • Auto-scaling & cost optimization
  • AI-driven troubleshooting

Workshop

Sharpen expertise through practice and expert support.

Projects

Work on real fullstack projects and gain hands-on experience.

Internship

Apply your fullstack skills in live projects with expert guidance.

Mentorship

Get one-on-one guidance from industry experts to grow faster.

Who is this course for?

This course is designed for anyone looking to advance their career with AI-integrated skills

Who this course is for

Students & Fresh Graduates

Build strong development skills with AI from the ground up.

Working Professionals

Advance your career with AI-powered development expertise.

Developers

Leverage AI tools to create smarter and more efficient solutions.

Tools & Technologies

Linux

Linux

Git

Git

GitHub

GitHub

AWS Cloud

AWS Cloud

Microsoft Azure

Microsoft Azure

Docker

Docker

Docker Compose

Docker Compose

Terraform

Terraform

Kubernetes

Kubernetes

Jenkins

Jenkins

Grafana

Grafana

Maven

Maven

Docker Swarm

Docker Swarm

Prometheus

Prometheus

Ansible

Ansible

Upcoming Batches

Join our next batch and start your learning journey with industry experts

What You’ll Learn & Experience

A clear breakdown of the skills, tools, and real-world exposure you’ll gain.

Learn Online / Classroom

Flexible learning modes to suit your schedule, with live instructor-led sessions.

Expert Trainers / Mentors

Learn from industry professionals with real-world development experience.

Comprehensive Curriculum

A job-oriented syllabus covering fundamentals to advanced concepts.

1:1 Mentorship

Personalized guidance to track progress and overcome individual challenges.

Daily Doubts Clarification

Get your questions resolved every day to ensure uninterrupted learning.

Hands-on Projects

Build real-world projects to strengthen practical skills and portfolios.

Weekly Technical Assessments

Regular evaluations to measure understanding and improve performance.

Monthly Mock Interviews

Practice technical and HR interviews in a real interview environment.

100% Placement Assistance

Dedicated support with resumes, interviews, and job opportunities.

Certifications

Multi-Cloud (AWS / Azure) with DevOps Powered by AI Course Certification

Certificate

Industry-Recognized Certification

Earn a certification trusted by the software industry, helping you stand out to employers and unlock better career opportunities.

Practical Skill Validation

Demonstrate real-world skills through hands-on projects and assessments that prove your job readiness to hiring teams.

Career Growth & Advancement

Strengthen your professional profile with certification that supports promotions, role upgrades, and long-term career growth

Voices of Our Learners

How our students gained skills, confidence, and real job outcomes

Rohan
Rohan

Rohan

AWS DevOps Engineer at Commscope

The projects and coding challenges helped me improve consistently. I am grateful for the support that led to my successful placement.

Ashok Reddy
Ashok Reddy

Ashok Reddy

AWS DevOps Engineer at SOARG Technologies Pvt. Ltd.

The placement assistance was outstanding from resume building to interview scheduling. It helped me secure my first job successfully.

Bhavya Reddy
Bhavya Reddy

Bhavya Reddy

AWS DevOps Engineer at SOARG Technologies Pvt. Ltd.

The trainers focused on both technical knowledge and communication skills. This combination gave me an edge during placements.

Guna Shekar
Guna Shekar

Guna Shekar

AWS DevOps Engineer at SOARG Technologies Pvt. Ltd.

The real-time projects enhanced my development skills significantly. I felt confident while discussing my work during interviews.

Murali Krishna
Murali Krishna

Murali Krishna

AWS DevOps Engineer at SOARG Technologies Pvt. Ltd.

The mock interviews gave me valuable feedback and improved my confidence. I was well prepared for every stage of the recruitment process.

Sai Swaroop
Sai Swaroop

Sai Swaroop

AWS DevOps Engineer at Ikigui Solutions

Learning AWS and DevOps practices like CI/CD pipelines and cloud deployment gave me practical, job-ready skills that helped me secure my role at Ikigui Solutions.

Rohith
Rohith

Rohith

DevOps Engineer at XIU Corporation

The complete learning path from fundamentals to interview preparation was very helpful. It gave me confidence and direction.

Rohan
Rohan

Rohan

AWS DevOps Engineer at Commscope

The projects and coding challenges helped me improve consistently. I am grateful for the support that led to my successful placement.

Ashok Reddy
Ashok Reddy

Ashok Reddy

AWS DevOps Engineer at SOARG Technologies Pvt. Ltd.

The placement assistance was outstanding from resume building to interview scheduling. It helped me secure my first job successfully.

Bhavya Reddy
Bhavya Reddy

Bhavya Reddy

AWS DevOps Engineer at SOARG Technologies Pvt. Ltd.

The trainers focused on both technical knowledge and communication skills. This combination gave me an edge during placements.

Guna Shekar
Guna Shekar

Guna Shekar

AWS DevOps Engineer at SOARG Technologies Pvt. Ltd.

The real-time projects enhanced my development skills significantly. I felt confident while discussing my work during interviews.

Murali Krishna
Murali Krishna

Murali Krishna

AWS DevOps Engineer at SOARG Technologies Pvt. Ltd.

The mock interviews gave me valuable feedback and improved my confidence. I was well prepared for every stage of the recruitment process.

Sai Swaroop
Sai Swaroop

Sai Swaroop

AWS DevOps Engineer at Ikigui Solutions

Learning AWS and DevOps practices like CI/CD pipelines and cloud deployment gave me practical, job-ready skills that helped me secure my role at Ikigui Solutions.

Rohith
Rohith

Rohith

DevOps Engineer at XIU Corporation

The complete learning path from fundamentals to interview preparation was very helpful. It gave me confidence and direction.

Rohan
Rohan

Rohan

AWS DevOps Engineer at Commscope

The projects and coding challenges helped me improve consistently. I am grateful for the support that led to my successful placement.

Ashok Reddy
Ashok Reddy

Ashok Reddy

AWS DevOps Engineer at SOARG Technologies Pvt. Ltd.

The placement assistance was outstanding from resume building to interview scheduling. It helped me secure my first job successfully.

Bhavya Reddy
Bhavya Reddy

Bhavya Reddy

AWS DevOps Engineer at SOARG Technologies Pvt. Ltd.

The trainers focused on both technical knowledge and communication skills. This combination gave me an edge during placements.

Guna Shekar
Guna Shekar

Guna Shekar

AWS DevOps Engineer at SOARG Technologies Pvt. Ltd.

The real-time projects enhanced my development skills significantly. I felt confident while discussing my work during interviews.

Murali Krishna
Murali Krishna

Murali Krishna

AWS DevOps Engineer at SOARG Technologies Pvt. Ltd.

The mock interviews gave me valuable feedback and improved my confidence. I was well prepared for every stage of the recruitment process.

Sai Swaroop
Sai Swaroop

Sai Swaroop

AWS DevOps Engineer at Ikigui Solutions

Learning AWS and DevOps practices like CI/CD pipelines and cloud deployment gave me practical, job-ready skills that helped me secure my role at Ikigui Solutions.

Rohith
Rohith

Rohith

DevOps Engineer at XIU Corporation

The complete learning path from fundamentals to interview preparation was very helpful. It gave me confidence and direction.

Rohan
Rohan

Rohan

AWS DevOps Engineer at Commscope

The projects and coding challenges helped me improve consistently. I am grateful for the support that led to my successful placement.

Ashok Reddy
Ashok Reddy

Ashok Reddy

AWS DevOps Engineer at SOARG Technologies Pvt. Ltd.

The placement assistance was outstanding from resume building to interview scheduling. It helped me secure my first job successfully.

Bhavya Reddy
Bhavya Reddy

Bhavya Reddy

AWS DevOps Engineer at SOARG Technologies Pvt. Ltd.

The trainers focused on both technical knowledge and communication skills. This combination gave me an edge during placements.

Guna Shekar
Guna Shekar

Guna Shekar

AWS DevOps Engineer at SOARG Technologies Pvt. Ltd.

The real-time projects enhanced my development skills significantly. I felt confident while discussing my work during interviews.

Murali Krishna
Murali Krishna

Murali Krishna

AWS DevOps Engineer at SOARG Technologies Pvt. Ltd.

The mock interviews gave me valuable feedback and improved my confidence. I was well prepared for every stage of the recruitment process.

Sai Swaroop
Sai Swaroop

Sai Swaroop

AWS DevOps Engineer at Ikigui Solutions

Learning AWS and DevOps practices like CI/CD pipelines and cloud deployment gave me practical, job-ready skills that helped me secure my role at Ikigui Solutions.

Rohith
Rohith

Rohith

DevOps Engineer at XIU Corporation

The complete learning path from fundamentals to interview preparation was very helpful. It gave me confidence and direction.

FAQ's

No. The course begins with Linux and Git basics and gradually progresses into AWS, Azure, CI/CD pipelines, containers, Kubernetes, and automation.

You’ll work with AWS and Azure along with Jenkins, Docker, Kubernetes, Terraform, Ansible, Prometheus, Grafana, GitHub, and YAML.

Yes. Every major module includes practical labs on cloud infrastructure, CI/CD pipelines, container orchestration, monitoring, and automation.

It focuses on intelligent automation—using monitoring data, analytics, and modern tools to improve deployments, detect issues faster, and optimize operations.

You can target roles such as DevOps Engineer, Cloud Engineer, SRE, Platform Engineer, Cloud Automation Engineer, and Multi-Cloud Specialist.