Cloud & DevOps · Career Track
DevOps
Automate delivery. Observe reality. Recover quickly.
Build the path from commit to reliable production.
Advanced layer includedIndustry Edge tools and scenario-based labs beyond the recognized core. Curriculum v1.1 • Updated Jul 2026
Recognized curriculum, prerequisites, assessments, and public fees disclosed before counselling.
Industry Edge Lab includedAdvanced tools, emerging patterns, and scenario-based labs beyond the recognized core.Registration and admissions follow-up continue securely in BharatCampus ONE.
Included beyond the published curriculum
The recognized core is your foundation—not the finish line.
Every DevOps cohort also enters the CohortAI Industry Edge Lab: an evolving layer of advanced tool categories, emerging architecture and production patterns, and scenario-based labs. A guided counselling preview connects the most relevant capabilities to your target role, followed by a release-governed lab sequence after enrollment.
Release-governed advanced tools Emerging architecture patterns Scenario-based labs
Fit before enrollment
Who should join
Fresh graduates, developers, system administrators and support engineers moving into cloud and delivery engineering.
Role pathways
Your starting point
Basic computer usage. Linux, networking and scripting bridges are included.
This is not an exclusion filter. It helps us confirm whether you can start directly or would benefit from a short bridge before the cohort.Recognized core
Skills and technology stack
These employability foundations are part of the public learning promise and remain visible before registration.
Linux Git Bash/Python CI/CD Docker Kubernetes Terraform-compatible IaC Ansible concepts Cloud foundations Prometheus/Grafana concepts
Build-first curriculum journey
8 missions. One defensible portfolio.
Mentor-led hybrid learning with 1.5-hour live instruction, all-day supervised practice access, weekly build evidence and a version-locked capstone.
M012 weeks · 15 live hours
Linux, Git and scripting
Ops Automation Sprint: replace a repetitive checklist with a tested command-line tool.
- Linux filesystem, processes and services
- Permissions, networking tools and logs
- Git commits, branches, merge and pull requests
- Bash scripting and task automation
Guided labAutomate environment checks, log collection and deployment preparation through scripts and Git workflow.
Portfolio evidenceOperations toolkit repository and pull-request history.
AssessmentLinux troubleshooting and Git collaboration practical.
M021 week · 7.5 live hours
Networking and cloud foundations
Cloud Connectivity Quest: trace one request across DNS, load balancer, service and database.
- IP, DNS, HTTP/TLS and load-balancing fundamentals
- Virtual networks, subnets and routing
- Compute, storage and managed services
- Identity and least privilege
Guided labDesign a secure three-tier cloud network and diagnose connectivity failures.
Portfolio evidenceCloud architecture diagram, security rules and troubleshooting runbook.
AssessmentNetwork diagnosis and architecture review.
M032 weeks · 15 live hours
Continuous integration and delivery
Red Pipeline Drill: restore a failed release without bypassing controls.
- Pipeline stages and build artefacts
- Automated tests and quality gates
- Secrets and environment promotion
- Release strategies and rollback
Guided labCreate a CI/CD pipeline that tests, scans, packages and promotes an application across environments.
Portfolio evidencePipeline-as-code repository, release record and rollback evidence.
AssessmentBroken-pipeline repair challenge.
M042 weeks · 15 live hours
Containers with Docker
Shrink and Secure: reduce image size and attack surface while preserving functionality.
- Images, layers and registries
- Dockerfiles and build context
- Volumes and networking
- Compose-based multi-service environments
Guided labContainerise a web application and database with reproducible local orchestration.
Portfolio evidenceOptimised images, compose environment and security review.
AssessmentContainer build and debugging practical.
M053 weeks · 22.5 live hours
Kubernetes fundamentals and operations
Kubernetes Control Room: diagnose a production outage from symptoms and events.
- Cluster architecture and kubectl
- Pods, deployments and services
- ConfigMaps, secrets and storage
- Health probes, resources and autoscaling
Guided labDeploy and operate a multi-service application with health checks, scaling, configuration and ingress.
Portfolio evidenceKubernetes manifests, operations runbook and failure-injection evidence.
AssessmentCluster troubleshooting simulation.
M062 weeks · 15 live hours
Infrastructure as code and configuration management
Rebuild Challenge: recreate an environment from code after deliberate deletion.
- Declarative infrastructure concepts
- Providers, resources, variables and outputs
- State, modules and environments
- Plan/apply/review workflow
Guided labProvision a reusable cloud environment and configure its hosts from version-controlled code.
Portfolio evidenceReusable IaC module, environment plan and configuration playbook.
AssessmentCode review, drift and recovery exercise.
M071 week · 7.5 live hours
Observability, security and reliability
Signal-to-Action Lab: reduce noisy alerts and make one useful operational decision.
- Metrics, logs, traces and service health
- Dashboards, alerts and SLO basics
- Incident response and postmortems
- Secrets, vulnerability and runtime controls
Guided labInstrument an application, define an SLO, trigger a failure and conduct a blameless review.
Portfolio evidenceObservability dashboard, alert policy, incident timeline and postmortem.
AssessmentReliability review and signal-quality assessment.
M081 week · 7.5 live hours
Production deployment capstone
Release Day: ship, observe, break, recover and explain.
- Architecture and repository design
- CI/CD and artefact management
- Containers and Kubernetes
- Infrastructure as code
Guided labDeliver a complete Git-to-production platform for a multi-service application and survive a failure drill.
Portfolio evidenceVersioned platform repository, dashboards, runbooks, release evidence and postmortem.
AssessmentProduction-readiness review board and DevOps interview simulation.
The week feels different here
A repeatable rhythm from concept to evidence
Weekly rhythm
- 1Concept sprint and visual roadmap
- 2Guided implementation lab
- 3Independent build challenge
- 4Debug, review and production-pattern clinic
- 5Skill check, demo and learning reflection
Learner experience
CohortAI Skill Passport with milestone badges
Build-first weekly checkpoints rather than lecture-only completion
Peer demo and code/design review rituals
Mentor office hours and all-day practice-lab access
Capstone Demo Day with a business narrative, technical walkthrough and interview-style defence
Responsible AI-assisted learning policy: explain, verify and own every submitted artifact
Interview-ready proof
What you will be able to show—not merely claim
These are tangible outputs you can demonstrate, explain, and defend through a technical walkthrough, business narrative, or interview conversation.
Automated CI pipeline with quality gates
Containerised multi-service application
Kubernetes deployment with health, scaling and configuration
Infrastructure-as-code environment
Observable Git-to-production capstone
Transparent evaluation
How your progress is assessed
Completion standard
Minimum 70% overall, mandatory capstone pass, at least 80% lab submissions and versioned portfolio evidence.
CohortAI Industry Edge Lab
Your published curriculum is the foundation. The Industry Edge is what keeps it moving forward.
The Platform Reliability Lab extends the program with GitOps, open infrastructure as code, telemetry standards, software-supply-chain trust and developer-platform patterns.
Your counselling preview connects relevant capability categories to your target role. The complete release-governed lab sequence becomes part of the enrolled learning plan.Version-controlled learning promise
DEV-OPS@1.1.0
Released 24 July 2026 under catalog CAT-2026.09.1. This page presents the approved curriculum, learner outcomes, duration, and public fee for informed comparison.
Straight answers
Frequently asked questions
Who is the DevOps program designed for?
Fresh graduates, developers, system administrators and support engineers moving into cloud and delivery engineering.
What prerequisites do I need?
Basic computer usage. Linux, networking and scripting bridges are included.
What is included in the public curriculum?
The public curriculum includes the recognized stack, all 8 module themes, guided labs, portfolio artifacts, assessment model, duration, and public fees. The Industry Edge Preview explains how advanced capability categories extend this foundation for your target role.
Where do counselling and enrollment happen?
CohortAI supports public discovery and program comparison. Registration, consent, counselling follow-up, application updates, and enrollment are managed securely in BharatCampus ONE.