DevOps & Cloud Course with Placement Pay after you're hired.

Syllabus

11 modules. 6 months.

1. 01DevOps FundamentalsThe framing every interview opens with.

   • SDLC and the DevOps lifecycle
   • Agile & Scrum basics
   • CI vs CD — and why interviewers test the distinction
   • IaC overview, benefits of DevOps
2. 02Linux & Shell ScriptingThe round every DevOps interview starts with.

   • Linux basics, file system hierarchy, essential commands
   • User management, permissions, process management
   • Bash automation and scripting
   • Networking fundamentals
3. 03Git & GitHubVersion control the way teams actually use it.

   • Git basics, branching strategies
   • Merge & rebase
   • Remote repositories, GitHub workflow
   • Pull requests and code review
4. 04Docker & ContainerizationContainers, properly — not just “docker run”.

   • Images and layers
   • Containers: run, manage, interact
   • Dockerfile & multi-stage builds
   • Docker Compose for multi-container apps
   • Docker Hub & registries
5. 05KubernetesWhere most DevOps candidates fail — and where we spend the most time.

   • Pods — the smallest deployable units
   • Deployments, updates and rollbacks
   • Services & Ingress: exposing applications
   • ReplicaSets and autoscaling
   • Helm charts
   • Real troubleshooting scenarios
6. 06Terraform — Infrastructure as CodeProvision real cloud infrastructure, reproducibly.

   • Providers: interacting with cloud platforms
   • Modules: reusable infrastructure components
   • Variables for dynamic configuration
   • State file management and remote state
7. 07AnsibleConfiguration management and automation at scale.

   • Inventory: defining and managing hosts
   • Roles: organizing reusable tasks
   • Playbooks: automating configuration with YAML
8. 08Jenkins & CI/CD PipelinesPipeline-as-code, the way production teams run it.

   • Pipeline: automate build, test and deploy workflows
   • Pipeline as Code with Jenkinsfile
   • Agents: distributing jobs for scalability
   • GitHub Actions fundamentals
9. 09AWS for DevOpsThe cloud layer under everything above.

   • IAM — manage access securely
   • EC2, VPC, ELB, Auto Scaling
   • Route53 DNS routing, S3 object storage
   • ECR container registry, Amazon RDS
   • Multi-AZ architecture and high availability
10. 10Monitoring, Observability & SREWhat separates a DevOps engineer from a script-runner.

    • Prometheus: metrics collection
    • Grafana: dashboards and visualization
    • Alerting and on-call fundamentals
    • SRE principles: SLOs, error budgets
11. 11Interview EngineeringThe module no other institute has — because no one else monitors 50 interviews a day.

    • Live question bank from monitored interviews, refreshed monthly
    • Weekly technical + HR mock interviews, AI-analysed
    • Scenario-based troubleshooting drills
    • Communication & confidence coaching — scored, not optional

Based on BrowseJobs internal data. Historical figures — not a promise of individual outcome. Hiring depends on the live market and your performance.

4 CV-ready projects

Deployed, not just coded.

Success stories.

How people moved into the role. The path is the same: AI interview, counselling, a course, a retake, then hired.

Real messages from our students.

Words from people who wrote in after they moved.

• Joining third company after course Pranjal
• Support role to Accenture offer
• Received offer letter after doubt Sujit
• Joined Eli Lilly, first salary Ranganayaki
• Joined as Senior Data Engineer gayathrim
• Joining Mphasis Akshay
• Placed, one birthday later Kavi
• Offer received, joining tomorrow Amarnath
• Cracked phData and Alkye Rohith
• Offer letter from ConcertAI Indira
• Offer after clearing all rounds Ajeet
• Landed a job after course Neeraj
• One year since getting placed Harika
• Now lead data engineer on project Gajanan