// FLAGSHIP PROGRAM

Cloud Engineering and DevOps

Build, deploy, and operate cloud infrastructure - and automate the entire pipeline from code commit to production.

3 months · Structured modules + supervised infrastructure project In-Person Online Hybrid
Explore the Program
// What this program is

Production-ready cloud and DevOps training built around real delivery workflow

Modern engineering teams do not separate application development from infrastructure delivery. They ship fast because infrastructure is codified, deployments are automated, and environments are observable from day one. This program is built around that exact industry reality.

You learn cloud foundations, Linux and networking operations, Infrastructure as Code, containerization, orchestration, CI/CD design, security controls, and monitoring patterns that are used in real production systems. Every stage is practiced in guided labs and reinforced with operational documentation habits.

By the end of this program, you can provision and manage cloud resources, automate build and deployment pipelines, enforce quality and security gates, and run workloads with reliability and rollback discipline. The outcome is not tool familiarity alone, but complete release lifecycle capability.

// Who this is for

For learners aiming to own infrastructure, automation, and release flow

This program is designed for:

  • CS, IT, ECE, and allied engineering students targeting cloud and DevOps job tracks
  • Graduates who want practical cloud delivery skills beyond classroom-level concepts
  • System administrators and support engineers transitioning to automation-led operations
  • Developers who want to design and run deployment pipelines with operational confidence
  • Early career professionals preparing for Cloud Engineer, DevOps Engineer, or SRE pathways
// Prerequisites

Clear entry requirements to ensure smooth progress

Hard prerequisites

Basic Linux command line and networking awareness recommended. No prior cloud certification required.

Soft prerequisites

Structured problem solving, willingness to debug patiently, and discipline in documenting infrastructure changes.

Setup before day one

Laptop with minimum 8GB RAM, stable internet, Git installed, and access to AWS and Azure free-tier accounts. Setup checklist is shared after enrollment.

Recommended baseline

Basic understanding of software development flow, source control workflow, and API fundamentals.

// The program

Ten modules, architecture to operations

The curriculum is designed to mirror production delivery flow, from cloud fundamentals and infrastructure provisioning to CI/CD automation, reliability engineering, and supervised project execution.

Establish the architecture and lifecycle mindset behind modern cloud delivery.

Topics

  • Cloud service models: IaaS, PaaS, SaaS
  • DevOps lifecycle, value stream, and deployment cadence
  • Shared responsibility model and cloud adoption patterns
  • Core terminology: workload, scaling, HA, resilience, SLA, SLO

Hands-on

  • Map a sample application architecture to cloud services
  • Create release flow diagram from commit to production

Build operating system and network fluency required for reliable cloud operations.

Topics

  • Linux process, users, permissions, service management
  • TCP/IP, DNS, load balancing, firewall concepts
  • Virtual machines, autoscaling groups, and compute planning
  • Troubleshooting host-level performance and connectivity

Hands-on

  • Launch and harden Linux cloud instance
  • Diagnose DNS and network path issues in a lab VPC

Translate system requirements into secure and scalable cloud architecture.

Topics

  • VPC, subnet, routing, internet gateway, NAT design
  • Storage services, object lifecycle, backup policies
  • Managed database basics and high availability setup
  • Reference architecture for web and API workloads

Hands-on

  • Design multi-tier cloud network and deploy sample app
  • Implement backup and restore drill for persistent data

Move from manual setup to repeatable infrastructure through code.

Topics

  • Git branching workflows for operations and platform teams
  • Terraform fundamentals, state, modules, and variables
  • CloudFormation and Bicep awareness and use cases
  • Policy controls and validation in IaC pipelines

Hands-on

  • Provision cloud networking and compute via Terraform
  • Apply change review workflow using pull requests and plan outputs

Design automated delivery pipelines with quality, security, and rollback gates.

Topics

  • CI design, artifact management, and build optimization
  • CD strategies: rolling, blue/green, and canary deployment
  • GitHub Actions and Jenkins pipeline patterns
  • Test gates, approval gates, and deployment governance

Hands-on

  • Create end-to-end CI/CD for a containerized application
  • Implement rollback pipeline and release tagging workflow

Operate modern application workloads with container and orchestration best practices.

Topics

  • Docker image lifecycle, registry, and optimization practices
  • Kubernetes architecture: nodes, pods, services, ingress
  • ConfigMaps, Secrets, and workload environment management
  • Helm basics and release management workflow

Hands-on

  • Containerize multi-service app and deploy to Kubernetes cluster
  • Scale workloads and troubleshoot pod failures using logs and events

Automate repetitive operational work and standardize runtime environments.

Topics

  • Configuration drift and immutable infrastructure principles
  • Ansible playbooks and inventory patterns
  • Scripting automation with Bash and Python basics
  • Scheduled operations and maintenance workflows

Hands-on

  • Automate server baseline setup and patch routine
  • Build script-based health check and notification job

Run production systems with metrics, logs, traces, and actionable response playbooks.

Topics

  • Monitoring strategy, SLI, SLO, error budgets
  • Centralized logging and dashboard design principles
  • Alert tuning to reduce noise and improve signal
  • Incident lifecycle: detect, contain, recover, review

Hands-on

  • Build application and infrastructure dashboards
  • Run incident simulation and produce post-incident report

Integrate security and cost governance into engineering delivery workflow.

Topics

  • IAM best practices, least privilege, key and secret handling
  • Network security groups, WAF basics, and secure defaults
  • Image and dependency vulnerability scanning in pipeline
  • Cost optimization: tagging, budgets, and rightsizing basics

Hands-on

  • Apply IAM policy hardening and secret rotation workflow
  • Run cost review and produce optimization action sheet

Combine all modules into a complete, interview-ready infrastructure delivery portfolio.

Topics

  • Project architecture planning and release scope definition
  • IaC provisioning, CI/CD integration, and observability setup
  • Security controls and resilience validation checkpoints
  • Operational handover documentation and review presentation

Hands-on

  • Build complete cloud deployment from repository to production environment
  • Present architecture, automation flow, incident handling, and optimization plan
// Certification alignment

How this curriculum maps to major certification tracks

Certification track Mapped modules Alignment focus
AWS Certified Cloud Practitioner / Solutions Architect Associate Modules 1, 2, 3, 9 Cloud foundations, architecture design, security and cost governance
Microsoft Azure Fundamentals / Azure Administrator Associate Modules 1, 2, 3, 9 Core Azure services, identity, networking, governance basics
HashiCorp Terraform Associate Modules 4, 10 Infrastructure as Code workflow, state handling, module usage
Certified Kubernetes Application Developer / Administrator Modules 6, 8, 10 Kubernetes deployment patterns, operations, observability integration
Docker Certified Associate (pathway alignment) Modules 5, 6 Container lifecycle, image optimization, pipeline integration
DevOps Foundation level pathways Modules 1, 5, 7, 8, 10 DevOps lifecycle, automation, reliability, release governance

Certification preparation support is integrated throughout labs, revision tracks, and project reviews. The program emphasizes practical delivery capability first, with certification readiness as structured reinforcement.

// Tools and platforms

Cloud, automation, deployment, and reliability stack

Cloud platforms

AWS · Microsoft Azure · Cloud Shell · Free-tier labs

Infrastructure and automation

Terraform · Ansible · Bash · Python basics

Containers and orchestration

Docker · Kubernetes · Helm · Container registries

CI/CD and source control

Git · GitHub · GitHub Actions · Jenkins

Observability and operations

Prometheus · Grafana · ELK stack awareness · Cloud-native monitoring dashboards

Security and governance

IAM policy controls · Secrets managers · Vulnerability scanners · Cost explorer tools

// Career outcomes

Role-ready outcomes for cloud and DevOps pathways

Cloud Engineer DevOps Engineer Site Reliability Engineer - Entry Level Cloud Operations Associate Platform Support Engineer Infrastructure Automation Engineer - Junior

Graduates leave with practical evidence of end-to-end delivery: infrastructure provisioning, automated deployment pipeline, monitoring setup, incident response practice, and optimization recommendations. This directly supports interview discussions and practical evaluations.

What you walk in with vs. what you walk out with

Walk in with Walk out with
Basic infrastructure awarenessCloud architecture planning and deployment capability
Manual setup habitsInfrastructure as Code workflow with repeatable provisioning
Limited deployment understandingCI/CD pipeline design with rollback and release governance
No container orchestration experienceDocker and Kubernetes deployment and troubleshooting practice
No observability frameworkMonitoring, alerting, and incident response workflow
Minimal cloud security perspectiveIAM, secrets, vulnerability, and governance baseline execution
No operations portfolioSupervised infrastructure project artifacts for interviews
// Delivery modes

Three modes, same delivery standards

In-Person

Tiruvallur campus sessions with direct lab supervision, whiteboard architecture breakdowns, and guided project reviews.

Online

Live instructor-led sessions with shared labs, real-time troubleshooting, and the same curriculum and assessments.

Hybrid

Flexible blend of classroom and live online delivery for learners balancing work, travel, and skill development timelines.

// Enquire

Ready to build your cloud and DevOps career path?

Call us on 63851-58458 or 98409-41910, or use the button below and we will call you within 24 hours.

63851-58458 · 98409-41910

Call 98409-41910