// Platform Engineering Master Program

Platform Engineering Master Program

Linux · DevOps · Kubernetes · Terraform · GitOps & Observability

Master the full modern platform stack with hands-on live training — real-world project architecture included.

35
Day Program
200+
Topics Covered
15+
Technologies
100%
Hands-on Labs
// Course Objectives

What You Will Learn & Achieve

The Platform Engineering Certification Program is designed to equip professionals with the skills required to build, automate, and manage modern Internal Developer Platforms (IDPs) that streamline software delivery and enhance developer productivity. The course provides a comprehensive understanding of Platform Engineering principles, enabling participants to create scalable, secure, and self-service platforms that support cloud-native application development and operations.

Through hands-on training in Kubernetes, Docker, Terraform, CI/CD pipelines, observability, and DevSecOps practices, participants will learn how to automate infrastructure, standardize development workflows, and improve operational efficiency across organizations. The program emphasizes real-world implementation of platform engineering concepts to help teams reduce complexity, accelerate releases, and maintain reliable production environments.

By the end of the course, learners will be able to design and manage enterprise-grade platform solutions, implement Infrastructure as Code, establish robust automation frameworks, and create developer-friendly environments that drive innovation and business agility. This program is ideal for DevOps Engineers, Cloud Engineers, SREs, Developers, and IT professionals looking to advance their careers in the rapidly growing field of Platform Engineering.

Key learning objectives covered across all 35 days:

01

Master Linux & Shell Scripting

Build a solid foundation in Linux administration, file systems, user management, bash scripting, and system automation.

02

Containerise with Docker

Understand containerisation deeply — images, Dockerfiles, Docker Compose, registries, networking, and storage.

03

Run Kubernetes in Production

Deploy and manage workloads using Pods, Deployments, Services, Ingress, Helm, RBAC, and multi-tenant security.

04

Automate Infrastructure with IaC

Provision cloud infrastructure with Terraform and configure environments at scale using Ansible playbooks and roles.

05

Build End-to-End CI/CD Pipelines

Design build, test, and deployment pipelines with blue-green, canary, and rolling strategies and full rollback support.

06

Implement GitOps with ArgoCD

Use Git as the single source of truth, automate deployments with ArgoCD, and handle drift detection and sync strategies.

07

Build Full Observability Stacks

Set up Prometheus for metrics, Grafana for dashboards, distributed tracing, alerting, and reliability engineering.

08

Design Internal Developer Platforms

Architect IDPs with golden paths, self-service capabilities, Backstage service catalogs, and developer experience principles.

09

Apply DevSecOps Practices

Integrate security into pipelines, manage secrets, configure RBAC, apply resource quotas, and enforce governance policies.

10

Land Your Platform Engineer Role

Build a resume, prepare for interviews, map your career roadmap, and complete a full enterprise architecture project.

// Who Is This For

Built for Engineers Ready to Level Up

Whether you're a developer, sysadmin, or DevOps engineer — this program builds a complete Platform Engineering skillset.

Software Developers

Learn the infrastructure layer your apps run on

Sysadmins & Ops

Transition from traditional ops to modern platform engineering

DevOps Engineers

Expand into IDP design, GitOps, and platform product thinking

Career Switchers

A structured path into one of tech's most in-demand roles

IT Professionals

Modernise your skills with cloud-native toolchains

// Free Demo & Class Schedule

Join the Free Demo Session

Experience the teaching style before you commit — attend a free live demo session.

Free Demo Session — 23rd June
🇮🇳
India
9:00 PM – 10:00 PM
IST
🇺🇸
United States
11:30 AM – 12:30 PM
EST
🇬🇧
United Kingdom
4:30 PM – 5:30 PM
BST
Live Class Schedule (Mon–Fri)
🇮🇳
For Participants in India
9:00 PM – 10:00 PM
Monday to Friday · IST
🇺🇸
For Participants in the US
11:30 AM – 12:30 PM
Monday to Friday · EST
🇬🇧
For Participants in the UK
4:30 PM – 5:30 PM
Monday to Friday · BST
Live Sessions Pricing
International (USD)
$119
$300 $259
India (INR)
₹9,900
₹13,000 ₹12,900
Prices shown after discount for LIVE sessions.
// Course Details

Who Can Enroll & What You'll Learn

Who Can Enroll for This Course?

  • DevOps, SRE, Platform & Cloud Engineers
  • Kubernetes, Linux/System & Infrastructure Administrators
  • CI/CD, Build & Release, and DevSecOps Engineers
  • Application & Production Support Professionals
  • Software Engineers, Developers, Technical Leads & Architects
  • IT Operations & Network Engineers
  • Professionals Transitioning into DevOps, SRE, Cloud, or Platform Engineering
  • Fresh Graduates and IT Professionals Interested in Cloud-Native Technologies
  • Anyone Looking to Master Kubernetes, Docker, Terraform, Ansible, GitOps, Observability, and Platform Engineering Practices

What Will I Learn by the End of This Course?

  • Master Platform Engineering concepts, Internal Developer Platforms (IDPs), and Platform as a Product
  • Gain strong hands-on experience with Linux, Git, Bash Scripting, and Networking
  • Build and manage containerized applications using Docker and Docker Compose
  • Deploy, scale, secure, and troubleshoot applications on Kubernetes
  • Manage Kubernetes applications using Helm and GitOps with ArgoCD
  • Provision and automate infrastructure using Terraform and Ansible
  • Design and implement enterprise-grade CI/CD pipelines
  • Monitor and optimize platforms using Prometheus, Grafana, and Observability best practices
  • Apply Kubernetes Security, RBAC, Resource Management, and Production Readiness concepts
  • Design modern, scalable, secure, and cloud-native platform architectures
  • Become job-ready for Platform Engineer, DevOps Engineer, SRE, Cloud Engineer, and Infrastructure Automation roles
// Program Highlights

Everything You Need, Nothing You Don't

🖥️

35 Structured Days

Each day is a focused module — from Linux fundamentals to enterprise platform architecture.

⚙️

Production-Grade Tooling

Kubernetes, Helm, Terraform, ArgoCD, Prometheus, and Grafana — exactly what enterprises use.

🛤️

Golden Path to IDP

Understand Internal Developer Platforms, Backstage, Developer Experience, and Platform-as-a-Product.

📋

Resume & Interview Prep

Day 35 dedicates time to career roadmap, resume building, and interview preparation topics.

🔒

Security Baked In

RBAC, secrets management, DevSecOps fundamentals, and Kubernetes security covered in depth.

📈

Observability First

Full stack: Prometheus metrics, Grafana dashboards, distributed tracing, and alerting strategies.

// Full Curriculum

35 Days. Every Topic Mapped.

A progressive curriculum that takes you from zero to enterprise-grade platform engineering skills.

DAY 01Platform Engineering Fundamentals
  • Introduction to Platform Engineering
  • DevOps vs SRE vs Platform Engineering
  • Platform Engineer Roles & Responsibilities
  • Internal Developer Platforms (IDP)
  • Platform Team Structure
  • Platform as a Product
  • Modern Platform Engineering Ecosystem
  • Current Industry Trends
DAY 02Linux Fundamentals
  • Linux Architecture
  • Linux Distributions
  • Linux File System Hierarchy
  • Shell Fundamentals
  • Files and Directories
  • File Operations
  • Package Management Basics
DAY 03Linux Administration
  • User Management
  • Group Management
  • File Permissions
  • Ownership and Access Control
  • Process Management
  • Service Management
  • System Monitoring
  • Log Management
DAY 04Networking Fundamentals
  • OSI Model
  • TCP/IP Model
  • IP Addressing
  • DNS & DHCP
  • Routing Fundamentals
  • Network Ports and Protocols
  • Load Balancing Concepts
DAY 05Git Fundamentals
  • Version Control Concepts
  • Git Architecture
  • Repository Management
  • Branching Concepts
  • Commit Lifecycle
DAY 06Advanced Git
  • Branching Strategies
  • Rebase & Cherry Pick
  • Code Reviews
  • Conflict Resolution
  • Git Best Practices
DAY 07Linux Bash
  • Shell Scripting Fundamentals
  • Variables and Data Types
  • Conditional Statements
  • Loops & Functions
  • Environment Variables
DAY 08Linux Scripting
  • Cron Jobs
  • Linux Automation Concepts
  • Log Analysis
  • System Health Monitoring
  • Linux Troubleshooting Basics
DAY 09DevOps Foundation
  • SDLC & Agile Methodology
  • Continuous Integration
  • Continuous Delivery & Deployment
  • DevOps Lifecycle
  • DevSecOps Fundamentals
  • DevOps Culture and Practices
DAY 10Docker Fundamentals
  • Containerization Concepts
  • Virtual Machines vs Containers
  • Docker Architecture
  • Docker Components
  • Images and Containers
  • Docker Networking & Storage
DAY 11Docker Images
  • Dockerfile Fundamentals
  • Image Layers
  • Image Optimization
  • Container Registries
  • Docker Best Practices
DAY 12Docker Compose
  • Multi-Container Applications
  • Service Dependencies
  • Docker Compose Architecture
  • Environment Configuration
  • Networking Between Containers
  • Persistent Storage
DAY 13Kubernetes Introduction
  • Kubernetes Overview & Architecture
  • Control Plane Components
  • Worker Node Components
  • Kubernetes Objects
  • Cluster Communication
  • Kubernetes Ecosystem
DAY 14Pods
  • Pod Architecture & Lifecycle
  • Multi-Container Pods
  • Init Containers
  • Pod Scheduling
  • Pod Networking
  • Pod Troubleshooting
DAY 15Deployments
  • ReplicaSets & Deployments
  • Rolling Updates & Rollbacks
  • Scaling Concepts
  • Deployment Strategies
  • High Availability Concepts
DAY 16Services
  • Service Discovery
  • ClusterIP, NodePort, LoadBalancer
  • ExternalName
  • Traffic Routing
  • Kubernetes Networking
DAY 17ConfigMaps and Secrets
  • Configuration Management
  • Environment Variables
  • ConfigMaps & Secrets
  • Secret Management Strategies
  • Application Configuration Best Practices
DAY 18Storage
  • Persistent Volumes & Claims
  • Storage Classes
  • Dynamic Provisioning
  • Stateful Applications
  • Data Persistence Concepts
DAY 19Ingress
  • Ingress Fundamentals
  • Ingress Controllers
  • HTTP Routing
  • TLS Configuration
  • Reverse Proxy & Traffic Management
DAY 20Helm
  • Helm Architecture
  • Helm Charts & Templates
  • Values Files
  • Release Management
  • Helm Best Practices
DAY 21Terraform Fundamentals
  • Infrastructure as Code
  • Terraform Architecture
  • Providers & Resources
  • Variables & Outputs
  • Terraform Workflow
DAY 22Terraform Advanced
  • Terraform State & Remote State
  • Modules & Workspaces
  • Provisioners
  • Dependency Management
  • Terraform Best Practices
DAY 23Ansible Fundamentals
  • Configuration Management Concepts
  • Ansible Architecture
  • Inventory Management
  • Ad-Hoc Commands
  • SSH-Based & Agentless Automation
DAY 24Ansible Playbooks
  • YAML Fundamentals
  • Playbooks & Variables
  • Handlers & Roles
  • Templates
  • Ansible Best Practices
DAY 25CI/CD Fundamentals
  • Continuous Integration
  • Continuous Delivery & Deployment
  • Pipeline Design
  • Build Automation
  • Release Management
  • CI/CD Best Practices
DAY 26Build Pipelines
  • Pipeline Stages
  • Build & Test Automation
  • Artifact Management
  • Build Optimization
  • Pipeline Security
DAY 27Deployment Pipelines
  • Deployment Automation
  • Blue-Green Deployment
  • Canary Deployment
  • Rolling Deployment
  • Rollback & Release Strategies
DAY 28GitOps Fundamentals
  • GitOps Principles
  • Pull-Based Deployment Model
  • Git as Single Source of Truth
  • GitOps Workflow & Benefits
  • GitOps Best Practices
DAY 29ArgoCD
  • ArgoCD Architecture
  • Application Management
  • Synchronization Strategies
  • Drift Detection
  • Rollback Management
  • GitOps Operations
DAY 30Observability
  • Observability Fundamentals
  • Monitoring, Logging, Tracing
  • Metrics Collection
  • Alerting Concepts
  • Reliability Engineering Basics
DAY 31Prometheus
  • Prometheus Architecture
  • Metrics Collection & Exporters
  • Service Discovery
  • PromQL Fundamentals
  • Alert Manager
  • Monitoring Best Practices
DAY 32Grafana
  • Grafana Architecture
  • Dashboards & Visualization
  • Alerting & Data Sources
  • Dashboard Design Principles
DAY 33Platform Engineering Concepts
  • Modern Platform Engineering
  • Internal Developer Platforms (IDP)
  • Developer Experience (DevEx)
  • Golden Paths & Self-Service Platforms
  • Service Catalogs & Backstage
  • Platform Adoption Strategies
  • Enterprise Platform Architecture
DAY 34Kubernetes Operations & Security
  • Kubernetes Security Fundamentals
  • Authentication, Authorization & RBAC
  • Namespace Strategy & Multi-Tenancy
  • Secrets Management
  • Resource Quotas & Limit Ranges
  • Backup, Recovery & DR Planning
  • Cost Optimization Concepts
DAY 35Enterprise Platform Architecture
  • End-to-End Platform Architecture Design
  • Automation First Approach
  • Industry Best Practices
  • Platform Engineer Career Roadmap
  • Interview Preparation Topics
  • Resume Building Guidance
  • Project Design & Architecture Discussion
// Technologies You'll Master

The Full Modern Platform Stack

Linux Bash Git Docker Docker Compose Kubernetes Helm Terraform Ansible CI/CD Pipelines GitOps ArgoCD Prometheus Grafana Backstage IDP RBAC PromQL
// What You'll Achieve

Career-Ready Outcomes

Design Internal Developer Platforms

Build self-service golden paths that improve developer experience across the org.

Run Kubernetes in Production

Manage multi-tenant clusters with full security, scaling, and observability.

Automate Infrastructure with IaC

Provision and manage cloud infrastructure using Terraform and Ansible.

Implement GitOps Workflows

Use ArgoCD and Git as the single source of truth for deployments.

Build Full Observability Stacks

Monitor, alert, and visualise with Prometheus and Grafana dashboards.

Land Your Next Role

Leave with a polished resume, project portfolio, and interview-ready knowledge.

// Your Instructor

Meet Your Trainer — Ajay

AJ
Ajay
DevOps · SRE · Platform Engineering Expert  |  7+ Years Experience
7+
Years Experience
35
Day Program
100%
Hands-on Labs

A seasoned DevOps, Site Reliability Engineering (SRE), and Platform Engineering professional with over 7 years of hands-on experience in designing, automating, and managing cloud-native platforms, Kubernetes environments, CI/CD pipelines, infrastructure automation, observability, and production operations.

Possesses deep expertise in Kubernetes, Docker, GitOps, Terraform, Ansible, Azure Cloud, Monitoring, Logging, DevSecOps, Incident Management, and Reliability Engineering. Experienced in building scalable, secure, and highly available platforms while implementing automation to reduce operational toil and improve system reliability.

Passionate about mentoring professionals through practical, real-world training focused on Platform Engineering, SRE principles, cloud-native technologies, observability, automation, and modern DevOps practices. Training approach emphasises hands-on labs, industry use cases, troubleshooting scenarios, and project-based learning aligned with current market demands and enterprise production environments.

Kubernetes Docker GitOps Terraform Ansible Azure Cloud Prometheus & Grafana CI/CD Pipelines DevSecOps SRE Incident Management Reliability Engineering
// Enroll Today

Ready to Become a Platform Engineer?

Join engineers transforming their careers with hands-on, industry-aligned training. Choose how you'd like to connect.

Complete Program — Live Sessions
International
$119
$300 $259
India
₹9,900
₹13,000 ₹12,900
Special offer price after discount · Free demo on 23rd June

Also reachable at +91-8977922427

🙏 Thank You So Much!

We appreciate your interest in the Platform Engineering Career Accelerator. We look forward to seeing you in class!