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Cloud & DevOps Classroom / Online Live

Cloud Computing & DevOps Course

Build practical cloud and DevOps skills across Linux, containers, CI/CD, infrastructure as code, monitoring, and secure operations.

Level Beginner
Learning format Classroom / Online Live

ABOUT THE COURSE

About Cloud Computing & DevOps Course

Cloud and DevOps work connects application delivery with the infrastructure, automation, and operational practices that keep services reliable. This course introduces a vendor-aware but transferable workflow: understand the environment, package an application, automate checks, deploy deliberately, and monitor what happens.

Build foundations before automation

Learn cloud service and deployment models, Linux command-line concepts, networking basics, environment configuration, and source control. Understand which responsibilities belong to a cloud provider and which remain with the team operating an application.

Package and deliver applications

Practice container concepts, image and configuration management, CI/CD stages, automated tests, deployment approvals, and infrastructure-as-code planning. Exercises use non-production examples and emphasize reviewable changes, safe credentials handling, and rollback planning.

Operate with visibility and care

Use logs, metrics, and alerts to investigate a simulated service issue. Apply least-privilege access, secrets management, backups, and change review as part of the delivery lifecycle. Specific cloud vendors, account access, lab costs, schedule, and delivery format must be confirmed for the current cohort.

Projects demonstrate practice and do not guarantee production readiness, certification, employment, or business results.

UNDERSTAND THE FIELD

What is Cloud Computing & DevOps Course?

COURSE CURRICULUM

What you will study

6 modules · Explore the complete learning path below

Understand cloud service models and shared responsibility, then use Linux and networking basics to inspect an application environment.

  • Cloud concepts
    • IaaS, PaaS, and SaaS
    • Regions and availability concepts
    • Shared responsibility
  • Operating environment
    • Shell navigation
    • Processes and permissions
    • DNS, ports, and HTTP
Practical work:

Inspect a local or sandbox service, record its processes and listening ports, and draw a simple request path.

Use version control and environment-based configuration to make changes reviewable while keeping credentials out of source code.

  • Git workflow
    • Branches and commits
    • Reviewable changes
    • Release tags
  • Configuration
    • Environment variables
    • Secrets boundaries
    • Configuration validation
Practical work:

Prepare a sample application configuration, commit a safe example file, and identify secrets that must not be committed.

Learn how images package application dependencies and how containers run with explicit configuration, storage, and network boundaries.

  • Image and container concepts
    • Dockerfiles and layers
    • Build and run
    • Tags and registries
  • Runtime configuration
    • Environment variables
    • Volumes and networks
    • Resource considerations
Practical work:

Containerize a small sample application and document its build command, runtime configuration, and cleanup steps.

Automate repeatable checks and package delivery with visible stages, approvals, and a defined recovery path.

  • Pipeline stages
    • Build and test
    • Artifacts
    • Environment promotion
  • Release controls
    • Approval gates
    • Deployment checks
    • Rollback planning
Practical work:

Create a sample pipeline outline that runs tests, stores an artifact, requires approval before deployment, and documents rollback steps.

Describe infrastructure changes as reviewable code and understand plans, state, drift, and safe access to deployment credentials.

  • Declarative infrastructure
    • Resources and variables
    • Reusable modules
    • Plan before apply
  • State and change risk
    • State purpose
    • Drift detection
    • Review and access control
Practical work:

Review a non-production infrastructure plan and identify resource changes, possible impact, and required approval.

Operate a simulated service with useful logs, metrics, and alerts while applying least privilege, backup planning, and incident review.

  • Observability basics
    • Logs and structured events
    • Metrics and thresholds
    • Alert quality
  • Operational readiness
    • Least privilege
    • Backups and recovery
    • Incident notes
Practical work:

Present a sample delivery pipeline, environment diagram, monitoring plan, security checklist, and rollback runbook.

The planned curriculum covers cloud foundations, Linux and networking, containers, CI/CD, infrastructure as code, monitoring, security, and a deployment capstone. Confirm schedule, duration, platform access, and any lab-cost arrangements with admissions.

TOOLS & TECHNOLOGIES

Tools you will work with

  • Linux
  • Git
  • Docker
  • CI/CD workflows
  • Terraform concepts
  • Cloud platform concepts
  • Logs and metrics

WHAT YOU WILL LEARN

Learning outcomes

  • Explain cloud service models and shared-responsibility concepts.
  • Use foundational Linux and networking commands to inspect an application environment.
  • Describe container images, runtime configuration, and safe handling of secrets.
  • Build a CI/CD workflow with automated checks, approvals, and rollback planning.
  • Review infrastructure-as-code plans and identify drift and change risks.
  • Use logs, metrics, and alerts to investigate a simulated service issue.

WHO SHOULD JOIN

Is this course right for you?

Students, developers, IT support staff, and early-career technologists who want an introduction to cloud infrastructure and software delivery practices. The course provides practical learning activities and does not promise a particular job outcome.

Prerequisites / eligibility

Basic computer use and familiarity with files, folders, and the web are helpful. Prior Linux, cloud, or programming experience is not assumed for introductory modules. Confirm the current cohort prerequisites, lab access, schedule, and delivery format with admissions.

FAQ

Frequently asked questions

The listed course fee is ₹45,000. Confirm current payment terms and any applicable charges with admissions before enrolling.

Duration, batch schedule, and delivery format have not been specified. Contact admissions for current details.

The introductory modules do not assume prior cloud experience. Basic computer familiarity is helpful; confirm cohort prerequisites with admissions.

The course is described using transferable cloud and DevOps concepts. Confirm which provider accounts, tools, and lab environments are included for the current cohort.

No. The course offers learning activities and project practice but does not guarantee a job, certification, or production outcome.

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