INDUSTRY-READY CLOUD ENGINEERING PROGRAM

Multi-Cloud Platforms, Kubernetes & Application Modernization

Build practical cloud engineering skills across AWS, Azure, GCP, Kubernetes, DevOps and modern application platforms.

45–60 Days
Hands-on Labs
Industry Projects
Cloud Platforms
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Multi-Cloud Learning
Kubernetes
DevOps & GitOps
Multi Cloud Kubernetes and DevOps
Multi-Cloud AWS · Azure · GCP
Kubernetes Cloud-Native
DevOps CI/CD · GitOps
PROGRAM OVERVIEW

From Infrastructure Fundamentals
to Enterprise Cloud Engineering

Build a strong foundation in infrastructure and progress through multi-cloud platforms, Kubernetes, automation and modern application practices. The learning journey is designed to move from learning concepts to deploying, automating, modernizing and operating cloud environments.

01

Learn

Understand infrastructure, cloud platforms, containers and modern cloud concepts.

02

Deploy

Work with cloud environments and deploy workloads using practical workflows.

03

Automate

Apply Infrastructure as Code, CI/CD and automation practices to cloud operations.

04

Modernize

Explore containers, Kubernetes, microservices and application modernization concepts.

05

Operate

Develop skills around monitoring, reliability, observability and cloud operations.

PROGRAM FOCUS

A Curriculum Built Around Modern Cloud Engineering

The program places its strongest emphasis on multi-cloud platforms and operations, supported by Kubernetes, cloud-native technologies and application modernization.

60%
CORE FOCUS

Multi-Cloud Platforms & Operations

Build practical exposure to multi-cloud platforms, cloud operations, hybrid environments and foundational cloud security.

25%
CLOUD-NATIVE

Kubernetes & Cloud-Native

Learn containerization, Kubernetes architecture, Helm and modern cloud-native application concepts.

15%
MODERNIZATION

Application Modernization

Understand application containerization, microservices and modern approaches to application platforms.

TECHNOLOGY FOCUS

Four Pillars of Cloud Engineering

Students progressively work across cloud platforms, cloud-native technologies, automation and observability.

01
MULTI-CLOUD

Multi-Cloud

Work across multiple cloud and private-cloud environments to understand modern infrastructure.

AWS Azure GCP VMware VCF
02
CLOUD-NATIVE

Cloud-Native

Understand containerized workloads and the technologies used to build cloud-native platforms.

Docker Kubernetes Helm Service Mesh
03
AUTOMATION

Automation

Learn repeatable infrastructure and deployment workflows using automation and DevOps practices.

Terraform Ansible GitOps CI/CD
04
OBSERVABILITY

Observability

Build awareness of monitoring, logging and observability workflows for cloud environments.

Prometheus Grafana ELK Monitoring
WHAT STUDENTS GAIN

Learn the Complete Cloud Engineering Lifecycle

Move beyond theory and develop practical cloud engineering capabilities through structured learning, hands-on labs, infrastructure automation, Kubernetes workflows and application modernization.

01
MULTI-CLOUD

Multi-Cloud Deployment

Deploy workloads across AWS, Azure and GCP while understanding practical cloud deployment workflows.

02
KUBERNETES

Kubernetes Operations

Learn cluster management, workloads, scaling and foundational Kubernetes security concepts.

03
AUTOMATION

Infrastructure Automation

Use Terraform and Ansible to build repeatable and structured infrastructure automation workflows.

04
DEVOPS

DevOps & GitOps

Build CI/CD pipelines and understand GitOps workflows for modern application delivery.

05
OBSERVABILITY

Cloud Monitoring

Work with Prometheus, Grafana and observability concepts for monitoring modern cloud environments.

06
MODERNIZATION

Application Modernization

Containerize applications and understand microservices and modern application platform concepts.

45-DAY CURRICULUM

A Structured Journey From Cloud Foundations to Capstone

05 Phases
45 Days
40+ Labs
01
PHASE 01

Infrastructure & Cloud Foundations

Days 1–10

Establish the technical foundation required to work with modern cloud and infrastructure platforms.

Linux
Networking
Virtualization
Python / Bash Scripting
Git
02
PHASE 02

Multi-Cloud Platforms & Operations

Days 11–25

Develop practical exposure to multiple cloud platforms, private cloud technologies, hybrid environments and foundational cloud security.

AWS Core Services
Azure Fundamentals
GCP Essentials
VMware VCF
Hybrid Cloud
Cloud Security
03
PHASE 03

Kubernetes & Application Modernization

Days 26–38

Move into cloud-native application platforms through containerization, Kubernetes and modern application architecture concepts.

Docker
Kubernetes Architecture
Helm
Microservices
Service Mesh
Application Containerization
04
PHASE 04

DevOps, SRE & Enterprise Operations

Days 39–42

Learn infrastructure automation, continuous delivery, GitOps and observability practices used in enterprise cloud operations.

Terraform
Ansible
CI/CD
GitOps with ArgoCD
Prometheus
Grafana
SRE Practices
05
PHASE 05

Capstone & Placement Readiness

Days 43–45

Bring the learning together through practical projects, portfolio development and structured placement preparation.

Industry Projects
Mock Interviews
Portfolio
Resume Workshop
Learn → Deploy → Automate → Modernize → Operate

A structured progression designed to connect infrastructure fundamentals with modern cloud engineering workflows.

INDUSTRY PROJECTS

Build Projects That Demonstrate Your Cloud Skills

Apply cloud, Kubernetes, Infrastructure as Code and GitOps concepts through practical project workflows designed to connect learning with real-world cloud engineering scenarios.

01
MULTI-CLOUD
INDUSTRY PROJECT

Multi-Cloud Deployment Pipeline

Deploy and manage workloads across multiple cloud environments while understanding structured deployment and delivery workflows.

TECHNOLOGIES
AWS Azure GCP CI/CD
Cloud Deployment
02
KUBERNETES
INDUSTRY PROJECT

Kubernetes Auto-Scaling Platform

Build and manage containerized workloads with Kubernetes while exploring scaling and cloud-native deployment concepts.

TECHNOLOGIES
Docker Kubernetes Helm
Cloud-Native
INFRA
CLOUD
IaC
03
AUTOMATION
INDUSTRY PROJECT

Terraform Infrastructure Automation

Automate cloud infrastructure provisioning using Infrastructure as Code and structured automation workflows.

TECHNOLOGIES
Terraform Cloud Ansible
Infrastructure as Code
GITOPS
04
GITOPS
INDUSTRY PROJECT

GitOps Deployment System

Implement automated application deployment using GitOps principles and Kubernetes-based delivery workflows.

TECHNOLOGIES
Git ArgoCD Kubernetes
Automated Delivery
ADDITIONAL INDUSTRY PROJECT

VMware Private Cloud Lab

Explore private cloud infrastructure concepts through VMware Cloud Foundation and related enterprise infrastructure technologies.

VMware VCF vSphere NSX
TECHNOLOGY STACK

Master the Tools Behind Modern Cloud Engineering

Develop exposure across cloud platforms, private cloud, containers, infrastructure automation, GitOps, CI/CD, monitoring and scripting.

Multi-Cloud

AWS Azure GCP

Private Cloud

VMware VCF vSphere NSX

Containers & Kubernetes

Docker Kubernetes Helm

Infrastructure Automation

Terraform Ansible

GitOps

ArgoCD

Continuous Delivery

Jenkins GitHub Actions

Observability

Prometheus Grafana ELK

Cloud Scripting

Python Bash
From Cloud Infrastructure to Automated Delivery

Students progressively connect cloud platforms, container technologies, infrastructure automation, deployment workflows and monitoring practices.

CAREER OUTCOMES

Build Skills for Modern Cloud Engineering Roles

Develop practical capabilities across cloud platforms, Kubernetes, infrastructure automation, DevOps and enterprise operations to prepare for a range of modern cloud-focused roles.

CAREER PATHS

Roles You Can Target

08 Roles
01

Cloud Engineer

Deploy and manage workloads across cloud environments.

02

Kubernetes Administrator

Manage clusters, workloads, scaling and security.

03

DevOps Engineer

Work with CI/CD, automation and release engineering.

04

Platform Engineer

Build developer platforms using cloud and Kubernetes.

05

Infrastructure Engineer

Work with cloud infrastructure, networking, storage and compute.

06

Cloud Operations Engineer

Monitoring, incident response and reliability.

07

VMware Administrator

vSphere, VCF and private cloud operations.

08

SRE Associate

Reliability, automation and service operations.

LEARNING MILESTONES

Certifications & Skill Milestones

Structured learning milestones that reflect the major skill areas covered throughout the program.

01
LEARNING MILESTONE

Multi-Cloud Foundations

Foundations across multi-cloud platforms and cloud operations.

02
LEARNING MILESTONE

Kubernetes Essentials

Core concepts around Kubernetes, containers and cluster operations.

03
LEARNING MILESTONE

DevOps Foundations

Foundations of automation, CI/CD and modern software delivery workflows.

04
LEARNING MILESTONE

Infrastructure Automation Associate

Infrastructure as Code and automation workflow fundamentals.

05
LEARNING MILESTONE

Cloud Operations Associate

Cloud monitoring, operations and reliability-oriented workflows.

5 Structured Learning Milestones

Designed around the major technical domains covered in the program.

Cloud Foundations → Kubernetes → DevOps → Automation → Operations

A progressive skill path connecting foundational infrastructure knowledge with modern cloud engineering roles.

Career-Focused
CAREER READINESS

Turn Cloud Skills Into Practical Career Evidence

Build demonstrable cloud engineering experience through hands-on labs, industry projects, multi-cloud platforms, Kubernetes, automation and deployment workflows.

01

Hands-on Labs

Practice cloud infrastructure, deployment, automation and operations through practical lab sessions.

40+ Practical Lab Sessions
02

Industry Projects

Work on practical cloud and DevOps projects designed around real deployment and automation workflows.

5 Cloud & DevOps Projects
03

Cloud Platforms

Develop exposure to leading public and private cloud environments used across enterprise infrastructure.

AWS Azure GCP VMware
04

Kubernetes Skills

Build practical understanding of containers, clusters, Helm, workloads, scaling and cloud-native operations.

Docker Kubernetes Helm Scaling
05

Automation

Learn infrastructure automation, continuous delivery and GitOps-based deployment workflows.

Terraform Ansible CI/CD GitOps
06

Portfolio

Build career evidence through projects, documentation and practical deployment workflows that can be discussed in interviews.

Projects & Documentation
Deployment Workflows
INDUSTRY ECOSYSTEM

Who Will Hire Cloud & DevOps Talent?

The program brief identifies a range of technology, consulting, managed cloud, enterprise and product organizations where cloud and infrastructure skills are relevant.

01

IT Services & Technology Consulting

Large technology services and consulting organizations with cloud, infrastructure and DevOps teams.

Infosys Wipro TCS Cognizant HCL
02

Managed Cloud Service Providers

Organizations focused on managed infrastructure, cloud operations and enterprise technology services.

Rackspace Kyndryl NTT Data
03

Cloud Consulting Firms

Consulting environments where cloud transformation, automation and enterprise modernization are key areas.

Deloitte Accenture IBM
04

Enterprise IT Teams

Enterprise organizations operating internal infrastructure, cloud platforms, applications and technology operations.

Infrastructure Cloud Operations Platform Engineering
05

Banking & Financial Technology

Financial organizations where secure, reliable and scalable cloud infrastructure supports digital platforms.

Cloud Infrastructure Reliability Security Operations
06

SaaS & Product Companies

Product organizations where cloud platforms, Kubernetes, automation and application operations support scalable services.

Freshworks Zoho Razorpay
Career Readiness Note

The organizations and categories shown here are examples referenced in the program brief. Actual hiring depends on role requirements, available opportunities, candidate skills and interview performance.

EXPERT-LED LEARNING

Learn From Industry-Focused Mentors

The program brings together cloud, Kubernetes, DevOps and infrastructure expertise to support practical learning throughout the program.

Cloud Architect
Kubernetes Expert
DevOps Engineer
VMware Specialist
Industry Mentor
FREQUENTLY ASKED QUESTIONS

Everything You Need To Know

Find answers to common questions about the learning path, technologies, projects and delivery model.

Multi-Cloud refers to working across multiple cloud platforms. This program covers AWS, Azure, GCP and VMware cloud environments as part of the learning path.

The program begins with infrastructure and cloud foundations before progressing into multi-cloud, Kubernetes, DevOps and application modernization.

Linux is included in the Infrastructure & Cloud Foundations phase, along with networking, virtualization, scripting and Git.

Yes. The curriculum includes AWS, Azure and GCP, along with VMware Cloud Foundation and hybrid-cloud concepts.

Students work through Docker, Kubernetes architecture, workloads, Helm, microservices, service mesh, containerization and application modernization.

Infrastructure as Code is an approach to defining and automating infrastructure through configuration and code. The program introduces infrastructure automation using Terraform and Ansible.

Yes. The program includes five industry projects covering multi-cloud deployment, Kubernetes, Terraform automation, VMware private cloud and GitOps deployment workflows.

The delivery model supports On-Campus, Online and Hybrid learning modes.

Yes. Terraform and Ansible are included in the DevOps, SRE and Enterprise Operations phase for infrastructure automation.

The program brief lists five certification and learning milestones: Multi-Cloud Foundations, Kubernetes Essentials, DevOps Foundations, Infrastructure Automation Associate and Cloud Operations Associate.
START YOUR CLOUD JOURNEY

Ready to Build Your Cloud Engineering Career?

Build practical skills in Cloud, Kubernetes, DevOps and Application Modernization through structured labs and industry projects.

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