Platform Engineering Course - Live Training Demo

Platform Engineering Course – Live Training

(DevOps & SRE, Linux, Networking, Git, Cloud (Azure & AWS), GitLab CI/CD, Docker, Kubernetes, Helm, Terraform, Observability with OpenTelemetry & LGTM, and GitOps with ArgoCD)

Master the skills required to become a modern Platform Engineer through this comprehensive, industry-focused live training program. Designed for aspiring Platform Engineers, DevOps Engineers, Cloud Engineers, Site Reliability Engineers (SREs), System Administrators, and Software Engineers, this course takes you from core infrastructure concepts to building and managing enterprise-grade cloud platforms.

Gain practical, hands-on experience with Linux, Networking, Git, Cloud (Azure & AWS), GitLab CI/CD, Docker, Kubernetes, Helm, Terraform, OpenTelemetry with LGTM (Loki, Grafana, Tempo & Mimir), and GitOps using ArgoCD. Learn how to automate infrastructure, build secure CI/CD pipelines, deploy and manage Kubernetes workloads, implement Infrastructure as Code (IaC), and streamline application delivery using GitOps principles.

The program focuses on real-world Platform Engineering practices, including cloud-native architecture, container orchestration, Kubernetes platform operations, deployment automation, infrastructure provisioning, observability, monitoring, logging, distributed tracing, and Site Reliability Engineering (SRE). You will also explore Internal Developer Platforms (IDPs), Platform as a Product, Developer Experience (DevEx), self-service infrastructure, Golden Paths, security best practices, governance, and production-ready platform design used by leading enterprises.

Throughout the training, you will work on practical labs, real-world projects, and industry use cases to understand how modern engineering teams build, operate, monitor, and scale reliable cloud-native platforms. By the end of the program, you will have the confidence and hands-on expertise to design, automate, deploy, observe, and manage production-ready platforms, preparing you for high-demand careers in Platform Engineering, DevOps, Cloud Engineering, and Site Reliability Engineering (SRE).

About the Instructors:

Abdhul is a seasoned IT professional with 12+ years of industry experience in Platform Engineering, Cloud Infrastructure, and DevOps. He has worked with diverse organizations designing, implementing, and managing scalable, reliable, and automated cloud-native platforms across Azure and AWS. His expertise spans Linux, Networking, Docker, Kubernetes, Helm, Terraform, GitLab CI/CD, GitOps with ArgoCD, and Observability, enabling organizations to build secure, resilient, and production-ready cloud platforms through automation and modern engineering practices.

With 4+ years of teaching experience and 300+ students trained, Abdhul is passionate about sharing practical industry knowledge through hands-on labs, live demonstrations, and production-style projects. He specializes in container orchestration, Infrastructure as Code (IaC), cloud infrastructure automation, GitOps-driven delivery pipelines, and Platform Engineering best practices. His project-based teaching approach equips learners with the practical, job-ready skills required to build, deploy, monitor, and manage modern cloud-native platforms with confidence.

Hari is an experienced Platform Engineering, Site Reliability Engineering (SRE), and Observability professional with 10+ years of industry experience building, operating, and optimizing reliable, secure, and cloud-native platforms. Recognized as a Champion of Production Excellence, he has extensive expertise in Platform Engineering, CI/CD Pipelines, OpenTelemetry, LGTM Stack, Monitoring, Observability, Linux, Networking, and Security Essentials, helping organizations deliver highly available, resilient, and production-ready systems.

With 4+ years of teaching experience and 300+ students trained, Hari is passionate about sharing practical industry knowledge through hands-on labs, real-world projects, and production-style use cases. He specializes in Site Reliability Engineering (SRE), incident management, SLIs/SLOs, CI/CD automation, observability, and platform operations, empowering learners to confidently build, monitor, secure, and scale modern cloud-native platforms while adopting the best practices of production excellence.

Live Sessions Price:

For LIVE sessions – Offer price after discount is 3~~00 USD 259 ~~USD~~~~ 119 USD Or ~~13000 INR~~ ~~12900 INR~~ 9900 Rupees

Enroll For Free Demo

Free Demo Session:

Indian Timings: 3rd August @ 9 PM – 10 PM (IST)/

U.S Timings: 3rd August @ 11:30 AM – 12:30 PM (EST)/

U.K Timings: 3rd August @ 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 ABdul:

👨 Rahul Sharma :“The Kubernetes, Terraform, and GitOps modules were exceptional. Real production-style scenarios made every concept click, and the integrated project tied everything together.”

👩 Priya Menon : “The OpenTelemetry and LGTM stack module alone was worth the course. Instrumenting logs, metrics, and traces end-to-end finally made observability click for me..

👨 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.

👨 Imran : Highly recommended for anyone looking to upgrade their DevOps skills. The hands-on sessions helped me gain practical knowledge quickly.

👩 Ayesha : The sessions were engaging and easy to follow even for beginners.

👨 Karthik Nair :“Excellent curriculum structure — going from Linux basics to a full production project in 45 days is impressive. The SRE module on SLIs, SLOs, and error budgets was thorough.”

Salient Features:

45 Hours of Live Training along with recorded videos
1 Year access to the recorded videos
Concepts + Demos + Hands-on Labs
Azure & AWS Cloud Coverage
OpenTelemetry with LGTM Stack
Course Completion Certificate
Integrated Real-Time Project

Who can enroll for this course?

💻 Software Developers
🖥️ System Administrators & IT Operations
♾️ DevOps & Platform Engineers
☁️ Cloud Engineers
📊 SRE & Production Support Engineers
🏗️ Platform & Infrastructure Engineers
⚙️ CI/CD, Build & Release Engineers
🔐 DevSecOps & Automation Engineers
🌐 Cloud Infrastructure & Network Engineers
🎓 Students, Fresh Graduates & Career Switchers
🚀 Anyone Looking to Build a Career in Platform Engineering, DevOps, SRE & Cloud Computing

What will I learn by the end of this course?

🚀 Build and manage production-ready cloud-native platforms
🐧 Master Linux administration and networking fundamentals
☁️ Deploy and manage infrastructure on Azure & AWS
🔄 Create automated CI/CD pipelines using GitLab
🐳 Containerize applications with Docker
☸️ Deploy, scale, and manage applications with Kubernetes
🏗️ Provision infrastructure using Terraform and Helm
📊 Implement observability with OpenTelemetry & the LGTM Stack
⚡ Apply SRE principles for reliability, monitoring, and incident management
🔁 Implement GitOps workflows using ArgoCD
🔐 Follow DevOps security and Infrastructure as Code best practices
💼 Gain hands-on experience through a real-world end-to-end Platform Engineering project

Course Syllabus:

Module 01: DevOps & SRE Fundamentals

Introduction to DevOps
Introduction to SRE
Software Development Lifecycle (SDLC)
Traditional IT vs DevOps
Agile Methodology
Infrastructure Lifecycle
DevOps Culture and Best Practices

Module 02: Linux Fundamentals

Linux Architecture
Linux File System
Users and Groups
Permissions and Ownership
Process Management
Systemctl and Services
Package Management
SSH and SCP
Crontab
Shell Scripting Basics

Module 03: Networking Fundamentals

OSI Model
TCP/IP
DNS
HTTP & HTTPS
Ports and Protocols
Load Balancers
VPN Basics
Subnetting
Firewalls and Security Groups

Module 04: Git & GitHub

Version Control Concepts
Git Workflow
Branching and Merging
Pull Requests
Merge Conflict Resolution
GitHub Repositories
Git Best Practices

Module 05: Cloud Computing Fundamentals

Introduction to Cloud Computing
IaaS
PaaS
SaaS
Public vs Private Cloud
Regions and Availability Zones
Shared Responsibility Model
Cloud Architecture Basics

Module 06: Microsoft Azure

Azure Portal
Resource Groups
Virtual Networks (VNets)
Network Security Groups (NSGs)
Azure Virtual Machines
Azure Storage Accounts
Azure Load Balancer
Azure Monitor
Azure IAM & RBAC
Azure CLI

Module 07: Amazon Web Services (AWS)

EC2
IAM
S3
VPC
Security Groups
Elastic Load Balancer
CloudWatch
AWS Networking Basics

Module 08: CI/CD with GitLab

Introduction to CI/CD
GitLab Overview
GitLab Repositories
GitLab Runners
GitLab CI/CD Pipelines
Pipeline Stages
Automated Builds
Automated Testing
Deployment Automation
GitLab YAML Configuration

Module 09: Docker

Introduction to Containers
Docker Architecture
Docker Images
Docker Containers
Dockerfile
Docker Compose
Volumes and Networking
Containerizing Applications

Module 10: Kubernetes

Kubernetes Architecture
Pods
Deployments
ReplicaSets
Services
ConfigMaps
Secrets
Ingress
Autoscaling
Kubernetes Networking

Module 11: Helm & Kubernetes Package Management

Introduction to Helm
Helm Charts
Helm Templates
Deploying Applications Using Helm
Helm Repositories

Module 12: Terraform & Infrastructure as Code

Infrastructure as Code (IaC)
Terraform Providers
Terraform Resources
State Files
Variables and Outputs
Terraform Modules
Remote State Management
Provisioning Cloud Infrastructure

Module 13: Monitoring & Observability

Monitoring Concepts
Observability Fundamentals
Metrics
Logs
Traces
Prometheus
Grafana Dashboards
Alerting
Centralized Monitoring Patterns

Module 14: OpenTelemetry with LGTM Stack

OpenTelemetry Overview
OpenTelemetry Collector
Receivers
Processors
Exporters
Application Instrumentation Basics
Loki for Logs
Grafana Dashboards
Tempo for Traces
Mimir/Prometheus for Metrics
Correlation of Logs, Metrics & Traces

Module 16: Security Essentials for DevOps

CI/CD Security Basics
Secret Management
Container Image Scanning
Secure Dockerfile Practices
Kubernetes Secrets
Practical Security Checklist for DevOps Engineers

Module 17: GitOps & Platform Engineering Essentials

GitOps Concepts
ArgoCD Workflow
Application Sync & Drift Detection
NGINX Reverse Proxy Basics
NGINX Ingress Overview
Service Mesh Overview
Kafka & Redis Overview

Module 18: Integrated Real-Time Project

Containerize a Sample Application
Build a GitLab CI/CD Pipeline
Deploy to Kubernetes Using Helm
Provision Infrastructure Using Terraform
Instrument the Application with OpenTelemetry
Visualize Logs, Metrics & Traces in LGTM
Practice Production Troubleshooting

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Platform Engineering Course – Live Training Demo

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