Cloud Computing & DevOps Course in Bhiwadi

Connect delivery and observability

Design a pipeline for a sample application that runs tests, creates a versioned artifact, and deploys behind an approval gate. Define one log field and one metric that help explain whether the release is healthy.

Plan failure handling

Write a simple incident note with detection, impact, response owner, and recovery step. Do not use production or employer data in a classroom exercise without explicit authorization.

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.