CloudX Engineering
in Cloud & DevOpsAbout this course
Master the Cloud Infrastructure Modern Teams Run On
ProDAC's CloudX Engineering program takes you from Linux and networking fundamentals to AWS, Azure, GCP, Docker, Kubernetes and CI/CD in 105 hours of live, mentor-led learning, built for people who want to design, deploy and secure the infrastructure everything else runs on.
Built for Career Outcomes, Not Just Course Completion
Every module, project and mentoring session is designed around one goal: making you genuinely employable as a cloud or DevOps engineer.
Multi-Cloud Curriculum
AWS, Azure and GCP, not just one provider, so you can work wherever the job takes you.
Real Infrastructure, Real Scale
Provision, deploy and break things in real cloud environments, not just slides about how the cloud works.
From Servers to Kubernetes
A deliberate progression: Linux and networking first, then cloud platforms, then containers, orchestration and automation.
A Portfolio You Can Show
Leave with a portfolio of real-world infrastructure projects and a capstone you can walk an interviewer through, step by step.
Structured Interview Prep
Practice troubleshooting, architecture design and hands-on cloud scenarios before you sit a real interview.
Learn-by-Doing Format
Every tool, from a Terraform script to a Kubernetes deployment, is built hands-on in the same session it's taught.
Where This Program Can Take You
Cloud and DevOps skills are in demand everywhere software runs: BFSI, e-commerce, SaaS, healthcare and startups all need infrastructure that stays up.
Indicative Salary Progression (India)
Indicative industry ranges, not a guarantee. Actuals vary by city, company and experience.
Every company running software in the cloud needs engineers who can provision infrastructure, automate deployments and keep systems reliable, which keeps cloud and DevOps consistently among the highest-demand technical roles.
The Cloud & DevOps Stack You'll Master
A focused, in-demand stack: real tools, real colors, hover to see the name.
Your 105-Hour Journey, Mapped Out
A deliberate progression from systems fundamentals to multi-cloud, containers and automation, about 13 to 14 weeks at a steady, structured pace.
Foundation
Career prep, Linux & networking
Cloud Fundamentals
Cloud computing basics & IAM
Multi-Cloud Core
AWS, Azure & GCP services
Containers
Docker & Kubernetes
Automation & Delivery
Terraform & CI/CD pipelines
Career Ready
Ops, security & capstone
105 Hours, 16 Modules, Zero Filler
Tap any module to see exactly what you'll learn, build and submit.
Topics
- Resume building & LinkedIn setup
- GitHub basics & version control
- SDLC & Agile methodology
- Understanding the cloud & DevOps ecosystem
Practical Exercises
- Create and push your first GitHub repository
- Set up a baseline cloud engineering resume
Assignments
- Publish a GitHub profile README
- Complete a self-assessment of current skill gaps
Topics
- User & permission management
- Process, service & package management
- System monitoring & log files
- Server hardening basics
Practical Exercises
- Administer a live Linux server end to end
Assignments
- Configure and secure a fresh Linux server for production use
Topics
- TCP/IP, DNS & subnetting
- Firewalls & security groups
- Load balancing concepts
- VPNs & private networking
Practical Exercises
- Design and configure a secure network layout for a cloud environment
Assignments
- Diagram and justify a network architecture for a sample application
Topics
- Bash scripting fundamentals
- Automating repetitive operations tasks
- Cron scheduling
- Error handling in scripts
Practical Exercises
- Automate a server setup task with a shell script
Assignments
- Write a script that automates a routine ops task end to end
Topics
- IaaS, PaaS & SaaS models
- Regions, availability zones & redundancy
- Cloud pricing & cost basics
- Shared responsibility model
Practical Exercises
- Compare service models across a sample workload
Assignments
- Design a basic cloud deployment plan with cost estimates
Topics
- EC2, S3 & VPC
- RDS & managed databases
- Load balancers & auto scaling
- Lambda & serverless basics
Practical Exercises
- Deploy a small application using core AWS services
Assignments
- Architect and deploy a scalable app on AWS
Topics
- Virtual Machines & Azure Storage
- Azure networking & VNets
- Azure App Services
- Resource groups & Azure Resource Manager
Practical Exercises
- Deploy and manage resources in a live Azure subscription
Assignments
- Migrate a sample workload's architecture to Azure
Topics
- Compute Engine & Cloud Storage
- VPC networking on GCP
- Cloud Run & managed services
- IAM on Google Cloud
Practical Exercises
- Deploy a containerized app using Google Cloud services
Assignments
- Compare and deploy the same workload across AWS, Azure and GCP
Topics
- Users, roles & policies
- Least-privilege access design
- Multi-factor authentication
- Cross-account & federated access
Practical Exercises
- Design a least-privilege IAM policy for a sample team
Assignments
- Audit and fix over-permissioned access on a sample account
Topics
- Images, containers & Dockerfiles
- Volumes & networking in Docker
- Docker Compose for multi-container apps
- Image optimization basics
Practical Exercises
- Containerize a multi-service application
Assignments
- Build and publish a Docker image to a registry
Topics
- Pods, deployments & services
- Scaling & self-healing
- ConfigMaps & secrets
- Helm basics
Practical Exercises
- Deploy and scale an application on a Kubernetes cluster
Assignments
- Deploy a multi-service app with autoscaling on Kubernetes
Topics
- Infrastructure as Code concepts
- Providers, resources & state
- Modules & reusable configurations
- Plan, apply & destroy workflows
Practical Exercises
- Provision cloud infrastructure entirely through Terraform
Assignments
- Write a reusable Terraform module for a common infrastructure pattern
Topics
- Build, test & deploy stages
- Pipeline-as-code
- Automated testing gates
- Blue-green & rolling deployments
Practical Exercises
- Build a full CI/CD pipeline from commit to deployment
Assignments
- Automate deployment of an application through a CI/CD pipeline
Topics
- Metrics, logs & traces
- Alerting & incident basics
- Dashboards for infrastructure health
- Centralized logging patterns
Practical Exercises
- Set up monitoring and alerts for a deployed application
Assignments
- Build a monitoring dashboard for a sample production system
Topics
- Cloud security best practices
- Compliance & governance basics
- Secrets management
- Vulnerability scanning fundamentals
Practical Exercises
- Audit a sample cloud environment for common security gaps
Assignments
- Harden and document a cloud environment against a security checklist
Topics
- High availability & fault tolerance
- Microservices vs. monolith patterns
- Disaster recovery basics
- Cost-optimized architecture design
Practical Exercises
- Design a fault-tolerant architecture for a sample application
Assignments
- Present an end-to-end architecture with justified design tradeoffs
The Cloud Infrastructure Capstone
One complete build that mirrors a real cloud engineer's project: provision infrastructure with Terraform, containerize an application with Docker, deploy and scale it on Kubernetes, wire up a full CI/CD pipeline, then present the architecture and design decisions to a mentor panel, just like a real design review.
This is the project you'll lead with in interviews.
Stand up infrastructure as code using Terraform.
Package with Docker and deploy to a Kubernetes cluster.
Wire up a CI/CD pipeline from commit to production.
Walk a mentor panel through your architecture and tradeoffs.
From Last Module to First Offer
Skill-building is half the journey. The other half is making sure you can sell those skills.
Resume Building
Craft a results-driven, cloud-engineering-ready resume that survives the first filter.
LinkedIn Optimization
Build a profile that recruiters actually find and message.
Mock Interviews
Practice live with troubleshooting scenarios, architecture and system-design style rounds.
Portfolio Reviews
Get mentor feedback on every infrastructure project before you ship it.
Career Mentoring
1:1 guidance on roles, companies and negotiation.
System Design Training
Sharpen the architecture and troubleshooting reasoning most cloud interviews test first.
Built for Every Starting Point
Hover over each path to see who it's built for. Whichever stage you're starting from, the curriculum meets you there.
Students & Freshers
Build job-ready cloud and DevOps skills, especially useful if you come from a CS or IT background.
Working Professionals
Move from sysadmin or on-prem IT roles into cloud engineering with weekend and evening batches that fit your job.
Career Switchers
Move into cloud and DevOps from a non-tech background with a structured, mentor-guided path.
Software Developers
Already write code? Add infrastructure, deployment and reliability skills to a strong existing engineering base.
CloudX Engineering Program
Verify at prodac.iokode.com
A Certificate That Verifies Real Skill
Your ProDAC Certified CloudX Engineer certificate is a digitally verifiable record of what you actually built.
Each certificate carries a unique ID that can be validated on ProDAC's verification page.
Add it directly to your profile to signal verified, project-backed skills to recruiters.
Comes with real-world infrastructure projects and a capstone as proof, alongside the certificate.
Ready to Accelerate Your Career?
Talk to our admissions team and find out if this program is the right next step for you.
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