Platform Engineering Master Program: Linux, DevOps, Kubernetes, Terraform, GitOps & Observability – Live Training
(Build Scalable Internal Developer Platforms, Master Kubernetes, CI/CD, GitOps, Infrastructure as Code & Platform Engineering)
Master the skills required to become a modern Platform Engineer through this comprehensive, industry-focused training program. Designed for aspiring DevOps Engineers, Cloud Engineers, SREs, and Platform Engineers, this course takes you from foundational concepts to enterprise-scale platform architecture.
You will gain hands-on experience with Linux administration, networking, Git, Bash scripting, Docker, Kubernetes, Terraform, Ansible, CI/CD pipelines, GitOps, monitoring, and observability. Learn how to build and operate scalable Internal Developer Platforms (IDPs), automate infrastructure, implement cloud-native best practices, and improve developer productivity through self-service platform engineering.
The program covers real-world platform engineering workflows, Infrastructure as Code (IaC), deployment automation, Kubernetes operations, security, governance, reliability engineering, and modern observability practices using Prometheus and Grafana. You will also explore Platform as a Product principles, Developer Experience (DevEx), Golden Paths, and enterprise platform architecture patterns used by leading technology organizations.
By the end of the program, you will be able to design, automate, deploy, monitor, and scale production-ready platforms while gaining the practical skills needed for Platform Engineering, DevOps, Cloud Engineering, and Site Reliability Engineering (SRE) roles.
About the Instructor:
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Ajay is 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 solutions, and production operations. He possesses strong expertise in Kubernetes, Docker, GitOps, Terraform, Ansible, Azure Cloud, Monitoring, Logging, DevSecOps, Incident Management, and Reliability Engineering. Throughout his career, he has successfully built and managed scalable, secure, and highly available platforms while implementing automation strategies that reduce operational toil, improve efficiency, and enhance system reliability. Ajay has extensive experience in production support, troubleshooting complex issues, performance optimization, release engineering, cloud infrastructure management, and operational excellence. His practical knowledge of modern cloud-native technologies enables organizations to streamline deployments, improve observability, and maintain resilient production environments. Passionate about mentoring and knowledge sharing, Ajay focuses on delivering practical, real-world training in Platform Engineering, Site Reliability Engineering (SRE), cloud-native technologies, observability, automation, and modern DevOps practices. His training methodology emphasizes hands-on labs, real-time industry use cases, troubleshooting scenarios, and project-based learning designed to prepare professionals for real-world enterprise environments. Inspired by modern SRE principles and methodologies, Ajay advocates for reliability, automation, observability, scalability, and operational excellence across cloud platforms. His goal is to empower learners with the skills, confidence, and practical experience required to succeed in today’s rapidly evolving Platform Engineering, DevOps, and SRE landscape. |
Live Sessions Price:
For LIVE sessions – Offer price after discount is 300 USD 259 119 USD Or USD13000 INR 12900 INR 9900 Rupees
OR
Free Demo Session:
Indian Timings: 23rd June @ 9 PM – 10 PM (IST)/
U.S Timings: 23rd June @ 11:30 AM – 12:30 PM (EST)/
U.K Timings: 23rd June @ 4:30 PM – 5:30 PM (BST)
Class Schedule:
For Participants in India: Monday to Friday @ 9 PM – 10 PM (IST)
For Participants in the US: Monday to Friday @ 11:30 AM – 12:30 PM (EST)
For Participants in the UK: Monday to Friday @ 4:30 PM – 5:30 PM (BST)
What Students Say about Ajay:
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👨 Amit : Platform Engineering concepts, Kubernetes, Terraform, and GitOps were explained in a very practical way. The hands-on labs helped me gain real-world confidence. 👩 Fatima : The trainer’s teaching style is outstanding. Complex topics such as Kubernetes Security, Helm, ArgoCD, and Observability were made easy to understand. 👨 David : One of the best technical training programs I have attended. The trainer demonstrated deep expertise in Platform Engineering, Kubernetes, Infrastructure Automation, and Reliability Engineering. Every session was interactive, informative, and focused on solving real operational challenges. 👩 Ayesha : The sessions were engaging and easy to follow even for beginners. 👨 Imran : Highly recommended for anyone looking to upgrade their DevOps skills. The hands-on sessions helped me gain practical knowledge quickly. |
Salient Features:
- 35 Hours of Live Training along with recorded videos
- Lifetime access to the recorded videos
- Course Completion Certificate
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.
Course Syllabus:
Module 1: Platform Engineering Fundamentals
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- Introduction To Platform Engineering
- Devops Vs Sre Vs Platform Engineering
- Platform Engineer Roles And Responsibilities
- Internal Developer Platforms (IDP)
- Platform Team Structure
- Platform As A Product
- Modern Platform Engineering Ecosystem
- Current Industry Trends
Module 2: Linux Fundamentals
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- Linux Architecture
- Linux Distributions
- Linux File System Hierarchy
- Shell Fundamentals
- Files And Directories
- File Operations
- Package Management Basics
Module 3: Linux Administration
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- User Management
- Group Management
- File Permissions
- Ownership And Access Control
- Process Management
- Service Management
- System Monitoring
- Log Management
Module 4: Networking Fundamentals
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- OSI Model
- TCP/IP Model
- IP Addressing
- DNS
- DHCP
- Routing Fundamentals
- Network Ports And Protocols
- Load Balancing Concepts
Module 5: Git Fundamentals
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- Version Control Concepts
- Git Architecture
- Repository Management
- Branching Concepts
- Commit Lifecycle
Module 6: Advanced Git
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- Branching Strategies
- Rebase
- Cherry Pick
- Code Reviews
- Conflict Resolution
- Git Best Practices
Module 7: Linux Bash
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- Shell Scripting Fundamentals
- Variables And Data Types
- Conditional Statements
- Loops
- Functions
- Environment Variables
Module 8: Linux Scripting
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- Cron Jobs
- Linux Automation Concepts
- Log Analysis
- System Health Monitoring
- Linux Troubleshooting Basics
Module 9: Devops Foundation
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- SDLC
- Agile Methodology
- Continuous Integration
- Continuous Delivery
- Continuous Deployment
- Devops Lifecycle
- Devsecops Fundamentals
- Devops Culture And Practices
Module 10: Docker Fundamentals
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- Containerization Concepts
- Virtual Machines Vs Containers
- Docker Architecture
- Docker Components
- Images And Containers
- Docker Networking
- Docker Storage
Module 11: Docker Images
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- Dockerfile Fundamentals
- Image Layers
- Image Optimization
- Container Registries
- Docker Best Practices
Module 12: Docker Compose
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- Multi-Container Applications
- Service Dependencies
- Docker Compose Architecture
- Environment Configuration
- Networking Between Containers
- Persistent Storage
Module 13: Kubernetes Introduction
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- Kubernetes Overview
- Kubernetes Architecture
- Control Plane Components
- Worker Node Components
- Kubernetes Objects
- Cluster Communication
- Kubernetes Ecosystem
Module 14: Pods
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- Pod Architecture
- Pod Lifecycle
- Multi-Container Pods
- Init Containers
- Pod Scheduling
- Pod Networking
- Pod Troubleshooting
Module 15: Deployments
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- Replicasets
- Deployments
- Rolling Updates
- Rollbacks
- Scaling Concepts
- Deployment Strategies
- High Availability Concepts
Module 16: Services
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- Service Discovery
- Cluster IP
- Node Port
- Loadbalancer
- Externalname
- Traffic Routing
- Kubernetes Networking
Module 17: Configmaps And Secrets
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- Configuration Management
- Environment Variables
- Configmaps
- Secrets
- Secret Management Strategies
- Application Configuration Best Practices
Module 18: Storage
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- Persistent Volumes
- Persistent Volume Claims
- Storage Classes
- Dynamic Provisioning
- Stateful Applications
- Data Persistence Concepts
Module 19: Ingress
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- Ingress Fundamentals
- Ingress Controllers
- HTTP Routing
- TLS Configuration
- Reverse Proxy Concepts
- Traffic Management
Module 20: Helm
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- Helm Architecture
- Helm Charts
- Templates
- Values Files
- Release Management
- Helm Best Practices
Module 21: Terraform Fundamentals
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- Infrastructure As Code
- Terraform Architecture
- Providers
- Resources
- Variables
- Outputs
- Terraform Workflow
Module 22: Terraform Advanced
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- Terraform State
- Remote State Management
- Modules
- Workspaces
- Provisioners
- Dependency Management
- Terraform Best Practices
Module 23: Ansible Fundamentals
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- Configuration Management Concepts
- Ansible Architecture
- Inventory Management
- Ad-Hoc Commands
- SSH-Based Automation
- Agentless Automation
Module 24: Ansible Playbooks
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- Yaml Fundamentals
- Playbooks
- Variables
- Handlers
- Roles
- Templates
- Ansible Best Practices
Module 25: CI/CD Fundamentals
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- Continuous Integration
- Continuous Delivery
- Continuous Deployment
- Pipeline Design
- Build Automation
- Release Management
- CI/CD Best Practices
Module 26: Build Pipelines
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- Pipeline Stages
- Build Automation
- Automated Testing
- Artifact Management
- Build Optimization
- Pipeline Security
Module 27: Deployment Pipelines
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- Deployment Automation
- Blue-Green Deployment
- Canary Deployment
- Rolling Deployment
- Rollback Strategies
- Release Strategies
Module 28: Gitops Fundamentals
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- Gitops Principles
- Pull-Based Deployment Model
- Git As Single Source Of Truth
- Gitops Workflow
- Gitops Benefits
- Gitops Best Practices
Module 29: Argocd
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- Argocd Architecture
- Application Management
- Synchronization Strategies
- Drift Detection
- Rollback Management
- Gitops Operations
Module 30: Observability
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- Observability Fundamentals
- Monitoring
- Logging
- Distributed Tracing
- Metrics Collection
- Alerting Concepts
- Reliability Engineering Basics
Module 31: Prometheus
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- Prometheus Architecture
- Metrics Collection
- Exporters
- Service Discovery
- PromQL Fundamentals
- Alert Manager
- Monitoring Best Practices
Module 32: Grafana
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- Grafana Architecture
- Dashboards
- Visualization Techniques
- Alerting
- Data Sources
- Dashboard Design Principles
Module 33: Platform Engineering Concepts
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- Introduction To Modern Platform Engineering
- Internal Developer Platforms (IDP)
- Developer Experience (DevEx)
- Golden Paths
- Self-Service Platforms
- Platform As A Product
- Service Catalogs
- Backstage Overview
- Platform Adoption Strategies
- Enterprise Platform Architecture
Module 34: Kubernetes Operations & Security
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- Kubernetes Security Fundamentals
- Authentication And Authorization
- Service Accounts
- RBAC
- Namespace Strategy
- Multi-Tenant Clusters
- Secrets Management
- Resource Requests And Limits
- Resource Quotas
- Limit Ranges
- Production Readiness
- Backup And Recovery Concepts
- Disaster Recovery Planning
- Platform Governance
- Cost Optimization Concepts
Module 35: Enterprise Platform Engineering Architecture
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- End-To-End Platform Architecture Design
- Automation First Approach
- Industry Best Practices
- Platform Engineer Career Roadmap
- Interview Preparation Topics
- Resume Building Guidance
- Project Design And Architecture Discussion