From SDLC basics to AI-powered DevOps. 20 topics covering Linux, CI/CD, Docker, Kubernetes, cloud platforms, security, and monitoring — step by step.
Phase 1SDLC FundamentalsStart here
Core Concepts
SDLC modelsDevOps introductionCI/CD introduction
🎯 Goal: Understand the software delivery lifecycle and where DevOps fits in
Phase 2DevOps Tools IntroTool landscape overview
Overview
DevOps toolchain overviewCategories of DevOps toolsWhen to use which tool
🎯 Goal: Get a bird’s-eye view of all DevOps tools before diving deep
Phase 3Command Line & OSLinux & scripting
Skills
Linux administrationShell scriptingPython basicsFile system & permissions
🎯 Goal: Comfortably navigate Linux and write shell/Python automation scripts
Phase 4NetworkingConnectivity essentials
Concepts
TCP/IP fundamentalsDNS & HTTP/HTTPSFirewalls & VPNsLoad balancingNetwork troubleshooting
🎯 Goal: Understand networking concepts critical to cloud and DevOps environments
Phase 5Cloud InfrastructuresAWS, Azure, GCP & more
Platforms
AWS CloudAzure CloudGCPOracle Cloud
Core Services
Compute (EC2, VMs)Storage (S3, Blob)Networking (VPC, VNet)IAM & Security
🎯 Goal: Provision and manage cloud resources across major cloud platforms
Phase 6Infrastructure as CodeAutomate your infra
Tools
TerraformCloudFormationARM Templates (Azure)
Concepts
IaC principlesState managementModules & reusability
🎯 Goal: Provision and manage infrastructure using code instead of manual clicks
Phase 7Source Code ManagementGit & version control
Tools
GitGitHubSVNPerforceClearcase
Concepts
Branching strategiesPull requests & code reviewGit workflows
🎯 Goal: Manage source code professionally using Git and GitHub workflows
Phase 8Java JDKBuild tool foundation
Topics
Java JDK intro & whyJVM & classpath basicsJava for DevOps pipelines
🎯 Goal: Understand Java enough to work with Java-based build tools and pipelines
Phase 9CI/CDThe heart of DevOps
CI/CD Tools
JenkinsJenkins pluginsGitHub ActionsGitOpsArgoCD
Build — Java
AntMaven.jar / .war / .ear files
Build — C/C++ & .Net
MakefileVisual Studio.exe files
Testing & QA
JUnitSeleniumSonarQube
Artifacts
JFrog ArtifactoryPipeline scripts
🎯 Goal: Build full CI/CD pipelines from code commit to artifact delivery
Phase 10Web ServerDeploy applications
Tools
TomcatApache HTTP ServerNginx
Concepts
Deployment strategiesApp server vs web server
🎯 Goal: Deploy web applications to app servers as part of a CD pipeline
Phase 11ContainerizationDocker & containers
Tools
DockerDockerHubDocker Compose
Concepts
Images vs containersDockerfileContainer registriesContainer networking
🎯 Goal: Containerize any application using Docker and manage images in registries
Phase 12Configuration ManagementAutomate server config
Tools
AnsiblePuppetChefSalt
Concepts
Playbooks & rolesIdempotencyInventory management
🎯 Goal: Automate server configuration and application deployment at scale
Phase 13Container OrchestrationKubernetes & Helm
Tools
KubernetesHelmkubectl
Concepts
Pods & deploymentsServices & ingressConfigMaps & secretsAuto-scaling
🎯 Goal: Orchestrate containerized applications in production using Kubernetes
Phase 14ProjectsHands-on practice
Environments
On WindowsOn LinuxAWS-basedAzure-basedGCP-based
Scope
Small projects in all toolsEnd-to-end pipelinesMulti-cloud projects
🎯 Goal: Apply all learned tools in real projects across different environments
Phase 15Continuous MonitoringObserve everything
Tools
GrafanaPrometheusCloudWatchSNS (alerts)
Concepts
Metrics, logs & tracesDashboards & alertingObservability principles
🎯 Goal: Monitor applications and infrastructure in real time with dashboards and alerts
Phase 16DevSecOpsSecurity in the pipeline
Tools
SonarQubeJFrog XrayTrivy
Concepts
Shift-left securitySAST & DASTContainer image scanningSecrets management
🎯 Goal: Integrate security checks at every stage of the DevOps pipeline
Phase 17AI-Powered DevOpsGitHub Copilot & more
Tools
GitHub CopilotAI code reviewAI-assisted testing
Use Cases
AI for pipeline optimizationIntelligent alertingAuto-remediation
🎯 Goal: Leverage AI tools to boost productivity across the DevOps workflow
Phase 18DevOps using AWSAWS-native DevOps
AWS DevOps Services
CodeCommitCodeBuildCodeDeployCodePipelineECS / EKS
🎯 Goal: Build complete DevOps pipelines using AWS-native tools and services
Phase 19DevOps using AzureAzure-native DevOps
Azure DevOps Services
Azure ReposAzure PipelinesAzure ArtifactsAKSAzure Monitor
🎯 Goal: Build complete DevOps pipelines using Azure DevOps and Azure cloud services
Phase 20AI + Sec + Dev + OpsThe full convergence
Convergence Topics
AI-driven securityML in pipelinesAutomated complianceIntelligent observability
Career Roles
DevOps Engineer Cloud Engineer Site Reliability Engineer Platform Engineer DevSecOps Engineer MLOps Engineer
🎯 Goal: Master the convergence of AI, security, development, and operations
Build the essential base: SDLC, Linux, networking, Git, and Java — the skills every DevOps engineer needs before touching pipelines.
1SDLC FundamentalsWaterfall, Agile, DevOps
SDLC modelsDevOps introductionCI/CD introduction
🎯 Understand the full software delivery lifecycle
2Command Line & LinuxShell & Python scripting
Linux administrationShell scriptingPython basics
🎯 Automate tasks with Linux and scripting languages
3NetworkingTCP/IP, DNS, firewalls
TCP/IP fundamentalsDNS & HTTP/HTTPSFirewalls & load balancing
🎯 Understand networking for cloud and DevOps
4Source Code ManagementGit & GitHub
GitGitHubSVN / Perforce / ClearcaseBranching strategies
🎯 Manage code professionally with Git workflows
5Java JDKBuild tool foundation
Java JDK introWhy Java in DevOpsJVM basics
🎯 Understand Java enough for DevOps build pipelines
The heart of DevOps — automate build, test, and deploy. From Jenkins to ArgoCD, Ant to Maven, JUnit to SonarQube.
CI ToolsContinuous IntegrationJenkins & GitHub Actions
JenkinsJenkins pluginsGitHub ActionsPipeline scripts
🎯 Automate code integration and build triggers
BuildBuild ToolsMaven, Ant, Make
Java
AntMaven.jar / .war / .ear
C/C++ & .Net
MakefileVisual Studio.exe files
🎯 Build artifacts from source code automatically
Test & QATesting & Quality GatesJUnit, Selenium, SonarQube
JUnit (unit testing)Selenium (UI testing)SonarQube (code quality)
🎯 Catch bugs and enforce code quality automatically
CD ToolsContinuous Delivery/DeploymentArgoCD & GitOps
GitOps principlesArgoCDJFrog ArtifactoryTomcat deployment
🎯 Deliver artifacts to production reliably and automatically
Provision, manage, and scale infrastructure on cloud platforms using code, containers, and orchestration tools.
CloudCloud PlatformsAWS, Azure, GCP, Oracle
AWSAzureGCPOracle CloudCore services (compute, storage, networking)
🎯 Provision and manage cloud resources
IaCInfrastructure as CodeTerraform & CloudFormation
TerraformCloudFormationARM TemplatesState management
🎯 Automate infrastructure provisioning with code
ContainersContainerizationDocker & DockerHub
DockerDockerHubDockerfileDocker Compose
🎯 Package and ship apps in containers
ConfigConfiguration ManagementAnsible, Puppet, Chef
AnsiblePuppetChefSalt
🎯 Automate server configuration at scale
OrchestrationContainer OrchestrationKubernetes & Helm
KubernetesHelmPods, services & ingressAuto-scaling
🎯 Orchestrate containers in production at scale
Take your DevOps skills further — monitoring, security, AI tooling, and cloud-specific pipelines on AWS and Azure.
MonitoringContinuous MonitoringGrafana, Prometheus, CloudWatch
GrafanaPrometheusCloudWatchSNS alertsObservability principles
🎯 Monitor systems and alert on issues in real time
SecurityDevSecOpsSonarQube, JFrog, Trivy
SonarQubeJFrog XrayTrivyShift-left securityContainer scanning
🎯 Embed security at every stage of the pipeline
AIAI-Powered DevOpsGitHub Copilot & more
GitHub CopilotAI code reviewAI-assisted testingIntelligent alerting
🎯 Use AI to accelerate DevOps workflows
AWSDevOps using AWSNative AWS pipeline tools
CodeCommitCodeBuildCodeDeployCodePipelineECS / EKS
🎯 Build full DevOps pipelines with AWS-native services
AzureDevOps using AzureAzure DevOps services
Azure ReposAzure PipelinesAzure ArtifactsAKSAzure Monitor
🎯 Build full DevOps pipelines with Azure DevOps services
FinalAI + Sec + Dev + OpsFull convergence
AI-driven securityML in pipelinesAutomated complianceIntelligent observability
Career Roles
DevOps EngineerCloud EngineerSREPlatform EngineerDevSecOps EngineerMLOps Engineer
🎯 Master the convergence of AI, security, dev, and ops
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