What You'll Learn
Six core competency areas — from cloud fundamentals to production-grade DevOps
Cloud Fundamentals & Architecture
Cloud service models, deployment types, virtualization, and the economics behind cloud-first architecture.
FoundationAWS Core Services
EC2, S3, Lambda, RDS, and VPC — build and deploy real workloads on the world's leading cloud platform.
Core SkillAzure & Google Cloud
Virtual Machines, App Services, Azure Functions, Compute Engine, and BigQuery across two more major platforms.
In-DemandContainers & Kubernetes
Docker images and Dockerfiles, then orchestration with Kubernetes pods, services, and deployments.
Applied EngineeringDevOps & Infrastructure as Code
CI/CD pipelines with Jenkins & GitHub Actions, plus Terraform for repeatable, version-controlled infrastructure.
Cutting EdgeCloud Security & Cost Optimization
IAM, encryption, compliance frameworks, and the monitoring & cost strategies that keep cloud spend in check.
Production ReadyBuilt to Get You Hired in Cloud & DevOps
A program that combines rigorous theory with hands-on practice across all three major clouds — so you graduate with both a portfolio and a certificate.
This comprehensive cloud computing program takes you from core concepts to advanced multi-cloud deployment. You'll start with the fundamentals — service models, virtualization, and cloud economics — before progressively building real, hands-on skills across AWS, Microsoft Azure, and Google Cloud Platform.
Every module is taught by mentors who've deployed production cloud systems in the industry. You'll work on live, mentor-reviewed projects covering containers, Kubernetes, and infrastructure as code — going directly into your portfolio. The course ends with a performance-based LOR, dual certification, and direct placement referrals.
Course Benefits
Course Curriculum
Four stages, twelve modules, one pipeline to becoming a cloud engineer — click any module to expand
- IaaS, PaaS & SaaS models
- Public, private & hybrid cloud
- Multi-cloud architectures
- Virtual machines & hypervisors
- Resource management
- Core networking concepts
- Pricing models
- Cost estimation & ROI
- Choosing the right service tier
- EC2, S3 & RDS
- VPC networking
- IAM & security groups
- Virtual Machines & App Services
- Azure Functions
- Azure Active Directory
- Compute Engine & Cloud Storage
- Cloud Functions
- BigQuery analytics
- Images & containers
- Dockerfile basics
- Docker Compose
- Pods, services & deployments
- ConfigMaps & secrets
- Ingress & scaling
- Terraform providers & modules
- State management
- Repeatable environments
- Jenkins & GitHub Actions
- Azure Pipelines
- Automated deployments
- CloudWatch & Azure Monitor
- IAM & encryption
- Compliance frameworks
- End-to-end pipeline build
- Multi-cloud project deployment
- Capstone project review
Capstone Project · Dual Certification · Placement Ready
Every stage feeds into a portfolio-ready cloud engineer — backed by multi-cloud projects and a performance-based LOR.
Your Dual Certificates
Two industry-recognized credentials awarded on successful completion
Why Choose This Course
Everything you need to go from curious learner to confident cloud engineer
Multi-Cloud Expertise
Learn AWS, Azure, and Google Cloud — all three major platforms in one program.
Hands-On Cloud Labs
Practice with real cloud environments and build production-ready deployments.
Dual Certification
Course Completion + Internship Certificate — two industry-recognized credentials in one program.
Performance-Based LOR
A star-rated, personalized Letter of Recommendation based on what you actually built and achieved.
1:1 Mentor Support
Direct access to mentors for doubt clearing, project reviews, and career guidance whenever you need it.
Placement Referrals
Direct referrals to our hiring partner network across cloud and DevOps roles.
Cloud Platforms You'll Master
Hands-on across every layer of the modern cloud stack
AWS
EC2, S3, Lambda, RDS
Azure
VMs, App Services, Functions
Google Cloud
Compute Engine, BigQuery
Docker
Containerization & images
Kubernetes
Container orchestration
Terraform
Infrastructure as Code
Requirements
- Basic understanding of computer networks and operating systems
- Familiarity with the Linux command line is helpful but not required
- A computer with internet connection for cloud access
- Curiosity and willingness to learn cloud & DevOps practices
Material Includes
- 30+ hours of recorded video lectures
- Lifetime LMS access — revisit anytime
- Section quizzes, assessments & assignments
- Hands-on cloud labs & architecture templates
- Course Completion Certificate
- Internship Experience Certificate
Simple, Transparent Pricing
Pick the learning style that suits you best — both include dual certification and placement support