DevOps

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DEVOPS

This DevOps certification training will help you gain the required skill set for getting a DevOps Engineer job.

KEY FEATURES

Curriculum

What you will learn — lecture by lecture

13 practical modules covering the full classroom syllabus.

Lecture 01Version Control — Git, GitHub, GitLab
  • Git installation and setup — global config, SSH keys
  • Repository initialization (git init) and cloning (git clone)
  • Staging, committing and pushing code
  • Branching strategies — feature, release, hotfix branches
  • Merge and conflict resolution
  • Tagging and version control practices
  • Remote repositories with GitHub and GitLab
  • Pull requests and code reviews
  • Best practices for source code management
Lecture 02Build Tools — Maven, Gradle, npm
  • Maven installation and configuration — settings.xml
  • Project structure and POM.xml — dependencies, plugins
  • Dependency management in Maven
  • Build lifecycle phases — validate, compile, test, package, install, deploy
  • Gradle installation — Groovy/Kotlin DSL build scripts
  • Packaging applications — JAR/WAR artifacts
  • Plugin configuration and usage
  • Build optimization techniques
  • Integration with CI/CD pipelines
  • Maven — Java, pom.xml — Enterprise Java, Spring Boot
  • Gradle — Java/Kotlin, build.gradle — Android, multi-module projects
  • npm — Node.js/JS, package.json — Frontend and Node.js apps
Lecture 03Web & Application Servers
  • Nginx — installation, configuration, reverse proxy, load balancing
  • Apache Tomcat — setup, WAR deployment, connector configuration
  • SSL/TLS configuration — Let's Encrypt, certificate management
  • Nginx and Tomcat integration — Nginx as reverse proxy to Tomcat
  • Log management and monitoring — access logs, error logs
  • Performance tuning — worker processes, connection limits
  • Automation of deployments
Lecture 04CI/CD Tools — Jenkins, GitHub Actions, GitLab CI
  • Jenkins installation and setup — standalone and Docker
  • Jenkins architecture — master, agents, executors
  • Freestyle and pipeline jobs
  • Declarative pipeline syntax (Jenkinsfile)
  • Integration with GitHub — webhooks and triggers
  • CI/CD workflows using GitHub Actions — .github/workflows
  • Pipeline stages — build, test, quality scan, deploy
  • Multi-branch pipeline configuration
  • Pipeline security and credentials management
  • Stage 1 Source — GitHub/GitLab webhooks
  • Stage 2 Build — Maven/Gradle compile and package
  • Stage 3 Code Analysis — SonarQube quality/security scan
  • Stage 4 Artifact Storage — JFrog/Nexus versioned artifacts
  • Stage 5 Containerise — Docker build and push images
  • Stage 6 Infra Setup — Terraform provision cloud
  • Stage 7 Configuration — Ansible configure and deploy
  • Stage 8 Orchestration — Kubernetes deploy containers
  • Stage 9 Security Scan — Trivy / SAST / DAST
Lecture 05Artifact Repository — JFrog Artifactory, Nexus
  • Artifact repository concepts — why store build artifacts
  • Repository setup and configuration
  • Artifact versioning strategies — SNAPSHOT vs RELEASE
  • Uploading and downloading artifacts
  • Integration with Maven, Gradle, Docker
  • Repository types — hosted, proxy, group
  • Cleanup and retention policies
  • Secure artifact management
Lecture 06Project Management — Jira & Agile
  • Agile fundamentals and principles — Agile Manifesto
  • Scrum framework — Sprints, Daily Standups, Retrospectives
  • Sprint planning and execution
  • Task tracking using Jira — epics, stories, tasks, bugs
  • Backlog grooming and prioritization
  • User stories and acceptance criteria
  • Burndown charts and velocity reporting
  • Release planning and Agile best practices
Lecture 07Code Quality — SonarQube
  • Static code analysis concepts
  • SonarQube setup — Docker and standalone installation
  • Quality gates and thresholds — fail pipeline if quality drops
  • Detecting bugs, vulnerabilities and code smells
  • Code coverage integration with JaCoCo
  • CI/CD integration — fail Jenkins build on quality gate failure
  • Report generation and dashboards
  • Security scanning basics — OWASP, CVE detection
Lecture 08Configuration Management — Ansible (Covers RHCE)
  • Introduction to configuration management
  • Ansible installation and setup — agentless architecture
  • Ansible architecture — control node and managed nodes
  • Inventory file configuration — static and dynamic
  • Ad-hoc commands — ansible all -m ping
  • Playbooks creation and structure — YAML syntax
  • Modules and tasks execution
  • Variables and facts
  • Handlers and conditionals
  • Loops and error handling
  • Roles and reusable components
  • Templates using Jinja2
  • Ansible Vault for secrets encryption
  • Integration with CI/CD pipelines
Lecture 09Infrastructure as Code — Terraform
  • Introduction to Infrastructure as Code (IaC)
  • Terraform installation and setup
  • Providers and resource blocks — AWS, Azure, GCP
  • Terraform configuration syntax — HCL
  • Variables and outputs
  • Terraform state file management — local and remote backend (S3)
  • terraform init — plan — apply — destroy
  • Data sources and resource dependencies
  • Modules and reusable code
  • Provisioners and remote execution
  • Workspaces and environment management
  • Managing infrastructure on AWS end-to-end
  • Terraform best practices
  • Integration with CI/CD pipelines
  • Key commands — init, plan, apply, destroy, validate, fmt, state list, output
Lecture 10Containerisation — Docker
  • Introduction to containerisation vs virtualisation
  • Docker installation — Linux, Mac, Windows
  • Docker architecture — client, daemon, registry
  • Docker images and containers — lifecycle
  • Writing Dockerfile — FROM, RUN, COPY, CMD, EXPOSE, ENV
  • Building and managing images — docker build, docker tag
  • Container lifecycle — start, stop, rm, exec
  • Docker networking — bridge, host, overlay
  • Volumes and persistent storage
  • Docker Compose — multi-container applications
  • Image optimisation — multi-stage builds
  • Docker Hub and private registries — ECR, JFrog
  • Container security best practices
  • Integration with CI/CD
  • Key commands — build, run, ps, exec, logs, images, push, compose up/down
Lecture 11Container Orchestration — Kubernetes
  • Introduction to container orchestration
  • Kubernetes architecture — control plane, worker nodes, etcd
  • Cluster setup — Minikube, kubeadm, EKS/AKS/GKE
  • Pods and ReplicaSets
  • Deployments and rollout strategies — RollingUpdate, Recreate
  • Services and networking — ClusterIP, NodePort, LoadBalancer
  • ConfigMaps and Secrets — externalise configuration
  • Persistent Volumes and Storage — PV, PVC, StorageClass
  • Ingress controllers — route external traffic to services
  • Auto-scaling — HPA (Horizontal Pod Autoscaler)
  • Namespaces and resource quotas
  • Monitoring and logging in Kubernetes
  • Helm package manager — install apps with one command
  • Security and RBAC — Role-Based Access Control
  • CI/CD integration with Kubernetes
  • Key commands — kubectl get/apply/describe/logs/exec/scale/rollout, helm install
Lecture 12Monitoring & Logging — Prometheus, Grafana, Loki, ELK
  • Monitoring concepts — metrics, logs, traces
  • Metrics collection using Prometheus — pull-based model
  • Dashboard creation using Grafana
  • Alerting and notifications — AlertManager
  • Application performance monitoring
  • Infrastructure monitoring — node exporter, kube-state-metrics
  • Introduction to Loki and centralised logging
  • Loki architecture — Promtail → Loki → Grafana
  • Installation and setup using Docker / Kubernetes
  • Log collection using Promtail agents
  • Label-based log indexing and LogQL queries
  • Integration with Grafana dashboards
  • ELK architecture — Elasticsearch, Logstash, Kibana
  • Logstash configuration and pipelines
  • Kibana visualisations and dashboards
  • Beats — Filebeat (logs), Metricbeat (metrics)
  • Log ingestion from multiple sources
  • Tool map — Prometheus 9090, Grafana 3000, AlertManager 9093, Loki 3100, Promtail 9080, ES 9200, Logstash 5044, Kibana 5601
Lecture 13Interview Preparation
  • Resume building — action verbs, quantifying achievements
  • Naukri profile grooming and keyword optimisation
  • LinkedIn optimisation — profile, connections, job alerts
  • Technical rounds — real-time scenario and troubleshooting questions
  • Mock interviews with feedback
  • Hands-on problems — pipeline failures, pod crashes, live debugging
  • Project explanation — how to present CI/CD and cloud projects
  • HR round prep — communication, confidence, salary negotiation
  • DevOps best practices — common interview Q&A