DevOps & Site Reliability · PPL

DevOps Master Program

An intensive program designed to develop end-to-end DevOps skills across automation, CI/CD, cloud infrastructure, containers, Kubernetes, security, observability, and reliability engineering.

  • 10 DaysDuration
  • PPLAccredited
  • 3 LanguagesArabic · English · Hindi
  • ₹29,999.00 Per delegate

This course is accredited by PPL

This is for all ppl accredited courses
2M+ Delegates trained worldwide
15,000+ Corporate clients
490+ Training locations
4.8 ★ Average learner rating
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— The journey

Course Outline

What the programme covers, module by module.

Module 1: DevOps Fundamentals

  • DevOps concepts
  • Development and operations
  • DevOps lifecycle
  • Continuous improvement
  • Automation
  • Business benefits

Module 2: DevOps Culture & Collaboration

  • Shared responsibility
  • Team collaboration
  • Feedback loops
  • Communication
  • Continuous learning
  • DevOps mindset

Module 3: Agile & DevOps

  • Agile principles
  • Scrum fundamentals
  • Kanban
  • Iterative delivery
  • Agile workflows
  • DevOps integration

Module 4: Linux Fundamentals

  • Linux architecture
  • File system
  • Shell
  • Commands
  • Users
  • Permissions

Module 5: Linux System Administration

  • Processes
  • Services
  • Packages
  • Storage
  • Networking
  • System monitoring

Module 6: Shell Scripting

  • Shell scripts
  • Variables
  • Conditions
  • Loops
  • Functions
  • Task automation

Module 7: Networking Fundamentals

  • TCP/IP
  • DNS
  • HTTP and HTTPS
  • Ports
  • Routing
  • Network troubleshooting

Module 8: Git Fundamentals

  • Version control
  • Repositories
  • Commits
  • Branches
  • Merging
  • Git workflow

Module 9: Advanced Git

  • Rebasing
  • Cherry-picking
  • Tags
  • Stashing
  • Conflict resolution
  • Repository management

Module 10: Collaborative Git Workflows

  • Feature branches
  • Pull requests
  • Code reviews
  • Branch protection
  • Trunk-based development
  • Merge strategies

Module 11: Introduction to CI/CD

  • Continuous integration
  • Continuous delivery
  • Continuous deployment
  • Pipeline concepts
  • Automation
  • Feedback loops

Module 12: CI/CD Pipeline Architecture

  • Pipeline stages
  • Jobs
  • Build agents
  • Runners
  • Triggers
  • Pipeline workflows

Module 13: Pipeline as Code

  • Declarative pipelines
  • Configuration files
  • Variables
  • Conditions
  • Reusable pipelines
  • Version control

Module 14: Jenkins Fundamentals

  • Jenkins architecture
  • Controllers
  • Agents
  • Jobs
  • Plugins
  • Build execution

Module 15: Jenkins Pipelines

  • Jenkinsfile
  • Pipeline stages
  • Steps
  • Parameters
  • Credentials
  • Pipeline execution

Module 16: GitHub Actions

  • Workflow concepts
  • Events
  • Jobs
  • Steps
  • Runners
  • Actions

Module 17: GitLab CI/CD

  • GitLab pipelines
  • .gitlab-ci.yml
  • Jobs
  • Stages
  • Runners
  • Pipeline variables

Module 18: Build Automation

  • Build processes
  • Dependencies
  • Compilation
  • Build tools
  • Build artifacts
  • Build optimization

Module 19: Automated Testing

  • Unit testing
  • Integration testing
  • Functional testing
  • Test automation
  • Test reports
  • Quality gates

Module 20: Artifact Management

  • Artifacts
  • Package repositories
  • Versioning
  • Artifact storage
  • Retention
  • Promotion

Module 21: Docker Fundamentals

  • Container concepts
  • Docker architecture
  • Images
  • Containers
  • Registries
  • Docker workflow

Module 22: Docker Installation & Configuration

  • Docker Engine
  • Docker CLI
  • Daemon
  • Configuration
  • Container execution
  • Environment validation

Module 23: Docker Images

  • Image architecture
  • Layers
  • Base images
  • Image tags
  • Image management
  • Image optimization

Module 24: Dockerfile Development

  • Dockerfile syntax
  • FROM
  • RUN
  • COPY
  • ENTRYPOINT
  • CMD

Module 25: Docker Networking

  • Bridge networks
  • Host networks
  • Container communication
  • Port mapping
  • DNS
  • Network management

Module 26: Docker Storage

  • Volumes
  • Bind mounts
  • Persistent data
  • Volume management
  • Storage drivers
  • Data sharing

Module 27: Docker Compose

  • Compose files
  • Services
  • Networks
  • Volumes
  • Multi-container applications
  • Environment configuration

Module 28: Container Security

  • Image security
  • Vulnerability scanning
  • Least privilege
  • Secrets
  • Runtime security
  • Secure images

Module 29: Kubernetes Fundamentals

  • Container orchestration
  • Kubernetes architecture
  • Control plane
  • Worker nodes
  • Cluster components
  • Kubernetes objects

Module 30: Kubernetes Pods

  • Pod concepts
  • Pod lifecycle
  • Multi-container pods
  • Labels
  • Annotations
  • Pod management

Module 31: Deployments & ReplicaSets

  • Deployments
  • ReplicaSets
  • Scaling
  • Rolling updates
  • Rollbacks
  • Application management

Module 32: Kubernetes Services

  • ClusterIP
  • NodePort
  • LoadBalancer
  • Service discovery
  • Endpoints
  • Networking

Module 33: ConfigMaps & Secrets

  • Application configuration
  • ConfigMaps
  • Secrets
  • Environment variables
  • Mounted configuration
  • Sensitive information

Module 34: Kubernetes Storage

  • Volumes
  • PersistentVolumes
  • PersistentVolumeClaims
  • StorageClasses
  • Dynamic provisioning
  • Stateful storage

Module 35: Kubernetes Networking

  • Cluster networking
  • Pod networking
  • Service networking
  • DNS
  • Network policies
  • Ingress concepts

Module 36: Kubernetes Ingress

  • Ingress resources
  • Ingress controllers
  • Routing
  • Host-based routing
  • Path-based routing
  • TLS concepts

Module 37: Kubernetes Scheduling

  • Scheduler
  • Node selectors
  • Affinity
  • Anti-affinity
  • Taints
  • Tolerations

Module 38: Kubernetes Scaling

  • Horizontal scaling
  • HPA
  • Resource requests
  • Resource limits
  • Autoscaling concepts
  • Capacity considerations

Module 39: Kubernetes Security

  • RBAC
  • Service accounts
  • Security contexts
  • Network policies
  • Secrets
  • Cluster security

Module 40: Helm

  • Helm fundamentals
  • Charts
  • Templates
  • Values
  • Releases
  • Package management

Module 41: Infrastructure as Code

  • IaC principles
  • Declarative infrastructure
  • Infrastructure automation
  • Version control
  • Repeatability
  • Environment consistency

Module 42: Terraform Fundamentals

  • Terraform architecture
  • Providers
  • Resources
  • Configuration
  • Initialization
  • Execution workflow

Module 43: Terraform Variables & Outputs

  • Input variables
  • Local values
  • Outputs
  • Data types
  • Variable files
  • Environment configuration

Module 44: Terraform State

  • State fundamentals
  • State files
  • Remote state
  • State locking
  • Backend configuration
  • State management

Module 45: Terraform Modules

  • Module structure
  • Reusable infrastructure
  • Inputs
  • Outputs
  • Module sources
  • Module design

Module 46: Advanced Terraform

  • Workspaces
  • Dependencies
  • Lifecycle rules
  • Dynamic blocks
  • Import
  • Infrastructure refactoring

Module 47: Configuration Management

  • Configuration management
  • Desired state
  • Automation
  • Infrastructure consistency
  • Configuration drift
  • Tooling concepts

Module 48: Ansible Fundamentals

  • Ansible architecture
  • Control nodes
  • Managed nodes
  • Inventories
  • Modules
  • Ad-hoc commands

Module 49: Ansible Playbooks

  • YAML
  • Plays
  • Tasks
  • Variables
  • Conditionals
  • Loops

Module 50: Ansible Roles & Templates

  • Roles
  • Role structure
  • Jinja2
  • Templates
  • Handlers
  • Reusable automation

Module 51: Ansible Vault & Security

  • Vault
  • Encryption
  • Sensitive variables
  • Credentials
  • Secure automation
  • Secret handling

Module 52: Cloud Computing Fundamentals

  • Cloud concepts
  • IaaS
  • PaaS
  • SaaS
  • Public cloud
  • Cloud-native environments

Module 53: AWS for DevOps

  • AWS infrastructure
  • EC2
  • S3
  • IAM
  • VPC
  • DevOps use cases

Module 54: Azure for DevOps

  • Azure infrastructure
  • Virtual machines
  • Storage
  • Identity
  • Networking
  • DevOps services

Module 55: Google Cloud for DevOps

  • Google Cloud fundamentals
  • Compute
  • Storage
  • IAM
  • Networking
  • DevOps workflows

Module 56: Cloud Infrastructure Automation

  • Automated provisioning
  • Infrastructure pipelines
  • Environment creation
  • Configuration management
  • Cloud resources
  • Repeatable deployments

Module 57: GitOps Fundamentals

  • GitOps principles
  • Git as source of truth
  • Declarative delivery
  • Reconciliation
  • Configuration drift
  • GitOps workflow

Module 58: Argo CD Fundamentals

  • Argo CD architecture
  • Applications
  • Repositories
  • Synchronization
  • Health status
  • Application management

Module 59: Advanced Argo CD

  • Automated synchronization
  • ApplicationSets
  • Helm integration
  • Kustomize
  • Multi-cluster delivery
  • Deployment control

Module 60: Deployment Strategies

  • Rolling deployment
  • Blue-green deployment
  • Canary deployment
  • Feature releases
  • Rollbacks
  • Strategy selection

Module 61: DevSecOps Fundamentals

  • DevSecOps principles
  • Shift-left security
  • Security automation
  • Secure pipelines
  • Vulnerability management
  • Security controls

Module 62: Static & Dependency Security

  • Static analysis
  • Dependency scanning
  • Software dependencies
  • Vulnerabilities
  • Quality gates
  • Remediation workflows

Module 63: Container & Infrastructure Security

  • Container scanning
  • Image vulnerabilities
  • IaC scanning
  • Misconfigurations
  • Security policies
  • Runtime considerations

Module 64: Secrets Management

  • Secrets lifecycle
  • Credentials
  • Tokens
  • Secret stores
  • Rotation
  • Secure access

Module 65: Monitoring Fundamentals

  • Infrastructure monitoring
  • Application monitoring
  • Metrics
  • Logs
  • Alerts
  • Monitoring strategy

Module 66: Prometheus

  • Prometheus architecture
  • Metrics
  • Exporters
  • Scraping
  • PromQL fundamentals
  • Alerting concepts

Module 67: Grafana

  • Grafana fundamentals
  • Data sources
  • Dashboards
  • Panels
  • Visualization
  • Alerts

Module 68: Centralized Logging

  • Logging architecture
  • Log collection
  • Log aggregation
  • Searching
  • Log analysis
  • Retention

Module 69: Observability

  • Metrics
  • Logs
  • Traces
  • Distributed tracing
  • Application visibility
  • Observability strategy

Module 70: Site Reliability Engineering

  • SRE principles
  • Reliability
  • Availability
  • Automation
  • Operational excellence
  • Engineering practices

Module 71: SLIs, SLOs & Error Budgets

  • Service Level Indicators
  • Service Level Objectives
  • Error budgets
  • Reliability targets
  • Measurement
  • Decision-making

Module 72: Incident Management

  • Incident lifecycle
  • Detection
  • Response
  • Escalation
  • Communication
  • Resolution

Module 73: Root Cause Analysis

  • Failure investigation
  • Timeline analysis
  • Root causes
  • Contributing factors
  • Corrective actions
  • Prevention

Module 74: Reliability & Resilience Engineering

  • Fault tolerance
  • High availability
  • Redundancy
  • Recovery
  • Resilience patterns
  • Failure planning

Module 75: DevOps Performance Optimization

  • Pipeline performance
  • Infrastructure performance
  • Container optimization
  • Resource utilization
  • Bottleneck identification
  • Cost awareness

Module 76: Production Operations

  • Production readiness
  • Change management
  • Deployment validation
  • Operational monitoring
  • Troubleshooting
  • Service health

Module 77: End-to-End DevOps Automation

  • Source control
  • CI/CD
  • Infrastructure provisioning
  • Configuration management
  • Kubernetes deployment
  • Monitoring integration

Module 78: DevOps Master Practical Project

  • Application repository
  • Infrastructure provisioning
  • CI/CD pipeline
  • Containerization
  • Kubernetes deployment
  • Monitoring and operational validation
— 01.2 · Is it right for you?

Who it's for & what's included

Pick a delivery method to see exactly who it suits and everything you receive.

Who it's for

Classroom

Best for learners who want face-to-face tuition and to network with peers in person.

What's included

Everything you get

  • Live instructor on-site
  • Printed workbook & materials
  • Group exercises & case studies
Who it's for

Online Instructor-Led

Best for learners who want a live instructor and a fixed schedule, without the travel.

What's included

Everything you get

  • Live instructor via video call
  • Digital workbook & resources
  • Session recordings
Who it's for

Self-Paced

Best for self-motivated learners who need maximum flexibility around work and life.

What's included

Everything you get

  • On-demand video lessons
  • Interactive quizzes
  • 24/7 access on any device
— What you will master

Course Objectives

01

Understand end-to-end DevOps principles, practices, and modern delivery workflows.

02

Build automated CI/CD pipelines for reliable software integration and deployment.

03

Containerize applications and manage workloads using Docker and Kubernetes.

04

Provision and manage infrastructure using Terraform and Ansible.

05

Apply cloud-based DevOps workflows across modern infrastructure environments.

06

Implement GitOps, DevSecOps, monitoring, and observability practices.

07

Apply SRE principles to improve availability, reliability, and incident management.

08

Design integrated DevOps workflows from source control through production operations.

— Questions answered

Frequently Asked Questions

What is the DevOps Master Program?
The DevOps Master Program provides comprehensive practical training across software delivery, automation, containers, cloud infrastructure, CI/CD, GitOps, security, observability, and reliability engineering.
Who should attend this program?
The program is suitable for working professionals, DevOps engineers, cloud engineers, SRE professionals, platform engineers, software engineers, and infrastructure professionals.
Do I need previous DevOps experience?
Basic knowledge of IT systems, software development, Linux, or cloud computing is helpful, but the program progresses from fundamental concepts to advanced DevOps practices.
Which technologies are covered?
The program covers Linux, Git, Jenkins, GitHub Actions, GitLab CI/CD, Docker, Kubernetes, Helm, Terraform, Ansible, AWS, Azure, Google Cloud, Argo CD, Prometheus, and Grafana.
What practical skills will I develop?
You will develop skills in CI/CD engineering, container orchestration, infrastructure automation, cloud operations, GitOps, DevSecOps, monitoring, incident management, and production reliability.
— Trusted by learners

What our delegates say

★★★★★

"The structure, the practice exams, the instructor — all top tier. Passed first try."

AS
Aarti SharmaSenior Project Manager · TCS
★★★★★

"Best training I have attended. The content is exactly what modern projects need."

JD
James DonovanProgramme Director · Capgemini
★★★★★

"24/7 support actually means 24/7 — got help on my mock exam at 2am. Worth every dollar."

MO
Maya OkaforPMO Lead · Standard Bank

★ 4.8 / 5 from 12,000+ verified learner reviews on Trustpilot & Google.

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