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Platform Engineering Course
45-Day Live Online Instructor-Led Training

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

Kubernetes Terraform GitOps ArgoCD OpenTelemetry LGTM Stack GitLab CI/CD
📚 18 Curriculum Modules ⏱️ 45 Days Program 🛠️ Hands-on Labs 🌐 English
Delivery Mode: Online Instructor-Led Training
Trainers: Abdhul & Hari
45
Day Program
18
Modules
15+
Technologies
100%
Hands-on Labs
₹9,900 / $119
INR (India) / USD (International) — one-time fee
🚀 Enroll for Free Demo 💬 WhatsApp to Enroll
THIS COURSE INCLUDES:
🖥️ 45 Days of Live Training
📚 Concepts + Demos + Hands-on Labs
☁️ Azure & AWS Cloud Coverage
📊 OpenTelemetry with LGTM Stack
🏆 Course Completion Certificate
🛠️ Integrated Real-Time Project
💬 Chat on WhatsApp
🎓 Free Demo Session — Save the Date!

Join a Free Demo Session

Experience the trainer's hands-on teaching style before enrolling — completely free, no commitment required.

IN
India
3rd August
9:00 PM – 10:00 PM
Indian Standard Time (IST)
US
USA
3rd August
11:30 AM – 12:30 PM
Eastern Standard Time (EST)
GB
UK
3rd August
4:30 PM – 5:30 PM
British Summer Time (BST)
Course Objectives

What You Will Learn & Achieve

This program is designed for professionals who want to move into DevOps, Site Reliability Engineering, Cloud Engineering, Platform Engineering, and Infrastructure roles. The course focuses on practical skills, real-world scenarios, troubleshooting, and production-style delivery practices — an end-to-end learning flow from source code to production observability.

By the end of the course, learners will be able to understand DevOps, SRE, cloud engineering, and platform engineering responsibilities in real production environments; deploy and troubleshoot containerized applications; create dashboards, alerts, and traces using OpenTelemetry and the LGTM stack; and apply platform engineering concepts such as reusable templates, standardization, GitOps, and self-service delivery patterns.

01

DevOps & SRE Fundamentals

SDLC, Agile methodology, traditional IT vs DevOps, and DevOps culture and practices.

02

Linux & Networking Foundations

Linux administration, shell scripting, OSI/TCP-IP, DNS, load balancers, and security groups.

03

Git, GitHub & Cloud Fundamentals

Version control workflows plus IaaS/PaaS/SaaS and cloud architecture basics.

04

Microsoft Azure & AWS

Resource groups, VNets, EC2, S3, IAM, load balancers, and cloud networking on both platforms.

05

CI/CD Pipelines with GitLab

Runners, pipeline stages, automated builds, automated testing, and deployment automation.

06

Docker & Kubernetes

Containerize applications and orchestrate them with Pods, Deployments, Services, and Ingress.

07

Helm & Terraform (IaC)

Package and deploy apps with Helm; provision cloud infrastructure with Terraform modules and state.

08

Observability with OpenTelemetry & LGTM

Instrument applications and correlate logs, metrics, and traces using Loki, Grafana, Tempo & Mimir.

09

SRE Engineering & Security

SLIs, SLOs, error budgets, incident management, RCA, and DevOps security essentials.

10

GitOps, ArgoCD & the Real-Time Project

Drift detection, sync strategies, and an integrated project tying every module together.

Who Is This For

Built for Anyone Moving Into Platform Engineering

This program is designed for professionals who want to move into DevOps, Site Reliability Engineering, Cloud Engineering, Platform Engineering, and Infrastructure roles.

💻

Software Developers

Learn the infrastructure layer your applications run on

🖥️

Sysadmins & Ops

Move from traditional IT operations into modern DevOps & SRE

♾️

DevOps Engineers

Deepen skills in Kubernetes, GitOps, Terraform & observability

☁️

Cloud Engineers

Bridge Azure & AWS infrastructure with platform engineering practices

📈

SREs & Support Engineers

Build production troubleshooting and reliability engineering skills

🎓

Career Switchers

A structured, hands-on path into DevOps & Platform Engineering roles

Course Overview

Duration, Delivery & Format

A 45-day professional career transition program with an end-to-end learning flow — from source code to production observability.

📅
Duration45 Days
💰
Course Fee₹9,900 (India) / $119 (International)
🖥️
Delivery ModeOnline instructor-led training
🧩
FormatConcepts + demos + hands-on labs
🎯
Primary FocusDevOps, SRE, Cloud, CI/CD, Kubernetes, Platform Engineering
📊
Observability StackOpenTelemetry with LGTM
OutcomeJob-ready practical skills
🕘
Live Class DaysMonday to Friday · 1 hour per session
🇮🇳
India Timing9:00 PM – 10:00 PM IST
🇺🇸
USA Timing11:30 AM – 12:30 PM EST
🇬🇧
UK Timing4:30 PM – 5:30 PM BST
👥
AudienceProfessionals moving into DevOps, SRE, Cloud Engineering, Platform Engineering & Infrastructure roles
Program Highlights

Everything You Need, Nothing You Don't

🗓️

18 Structured Modules

From DevOps & SRE fundamentals to an integrated real-time project across 45 days.

⚙️

Production-Grade Tooling

Kubernetes, Helm, Terraform, ArgoCD, Prometheus, Grafana & the full OpenTelemetry/LGTM stack.

☁️

Dual Cloud Coverage

Hands-on training across both Microsoft Azure and Amazon Web Services (AWS).

📈

Observability First

OpenTelemetry Collector, Loki, Grafana, Tempo, and Mimir/Prometheus with full correlation.

🔒

Security Baked In

CI/CD security basics, secret management, image scanning, and a practical security checklist.

🛠️

Integrated Real-Time Project

Containerize, pipeline, deploy, provision, instrument, and troubleshoot — end to end.

Full Curriculum

18 Modules. 45 Days. Every Topic Mapped.

A progressive curriculum from DevOps & SRE fundamentals to an integrated real-time production project.

MODULE 01DevOps & SRE Fundamentals
  • Introduction to DevOps
  • Introduction to SRE
  • Software Development Lifecycle (SDLC)
  • Traditional IT vs DevOps
  • Agile methodology
  • Infrastructure lifecycle
  • DevOps culture and practices
MODULE 02Linux 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 03Networking Fundamentals
  • OSI model
  • TCP/IP
  • DNS
  • HTTP and HTTPS
  • Ports and protocols
  • Load balancers
  • VPN basics
  • Subnetting
  • Firewalls and security groups
MODULE 04Git & GitHub
  • Version control concepts
  • Git workflow
  • Branching and merging
  • Pull requests
  • Merge conflict resolution
  • GitHub repositories
  • Git best practices
MODULE 05Cloud Computing Fundamentals
  • Introduction to cloud computing
  • IaaS
  • PaaS
  • SaaS
  • Public vs private cloud
  • Regions and availability zones
  • Shared responsibility model
  • Cloud architecture basics
MODULE 06Microsoft 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 and RBAC
  • Azure CLI
MODULE 07Amazon Web Services (AWS)
  • EC2
  • IAM
  • S3
  • VPC
  • Security Groups
  • Elastic Load Balancer
  • CloudWatch
  • AWS networking basics
MODULE 08CI/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 09Docker
  • Introduction to containers
  • Docker architecture
  • Docker images
  • Docker containers
  • Dockerfile
  • Docker Compose
  • Volumes and networking
  • Containerizing applications
MODULE 10Kubernetes
  • Kubernetes architecture
  • Pods
  • Deployments
  • ReplicaSets
  • Services
  • ConfigMaps
  • Secrets
  • Ingress
  • Autoscaling
  • Kubernetes networking
MODULE 11Helm & Kubernetes Package Management
  • Introduction to Helm
  • Helm charts
  • Helm templates
  • Deploying applications using Helm
  • Helm repositories
MODULE 12Terraform & 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 13Monitoring & Observability
  • Monitoring concepts
  • Observability fundamentals
  • Metrics
  • logs
  • and traces
  • Prometheus
  • Grafana dashboards
  • Alerting
  • Centralized monitoring patterns
MODULE 14OpenTelemetry with LGTM Stack
  • OpenTelemetry overview
  • OpenTelemetry Collector
  • Receivers
  • processors
  • and exporters
  • Application instrumentation basics
  • Loki for logs
  • Grafana for dashboards
  • Tempo for traces
  • Mimir or Prometheus for metrics
  • Correlation of logs
  • metrics
  • and traces
MODULE 15SRE Engineering
  • SLI
  • SLO
  • SLA
  • Error budgets
  • Reliability engineering
  • Incident management
  • Root Cause Analysis (RCA)
  • Postmortems
  • Production support concepts
MODULE 16Security Essentials for DevOps
  • CI/CD security basics
  • Secret management basics
  • Container image scanning overview
  • Secure Dockerfile practices
  • Kubernetes secrets basics
  • Practical security checklist for DevOps engineers
MODULE 17GitOps & Platform Essentials
  • GitOps concepts
  • ArgoCD workflow
  • Application sync and drift detection
  • NGINX reverse proxy basics
  • NGINX Ingress overview
  • Service mesh overview
  • Kafka and Redis overview
MODULE 18Integrated Real-Time Project
  • Containerize a sample application
  • Build a GitLab CI/CD pipeline
  • Deploy to Kubernetes using Helm
  • Provision basic infrastructure using Terraform
  • Instrument the application with OpenTelemetry
  • Visualize logs/metrics/traces in LGTM
  • Practice production troubleshooting
Technologies You'll Master

The Full DevOps, SRE & Platform Engineering Stack

LinuxNetworkingGit & GitHubAzureAWSGitLab CI/CDDockerKubernetesHelmTerraformPrometheusGrafanaOpenTelemetryLokiTempoMimirGitOpsArgoCDNGINXKafkaRedis
Learning Outcomes

Career-Ready Outcomes

Understand Real Production Responsibilities

DevOps, SRE, cloud engineering, and platform engineering roles in live environments.

Build Confidence Across the Full Toolchain

Linux, networking, Git, CI/CD, Docker, Kubernetes, Helm, Terraform & observability tools.

Deploy & Troubleshoot Containerized Apps

Using production-style workflows from build through to deployment.

Create Dashboards, Alerts & Traces

Using OpenTelemetry and the LGTM stack for full-stack observability.

Apply Platform Engineering Concepts

Reusable templates, standardization, GitOps, and self-service delivery patterns.

Deliver an Integrated Real-Time Project

Containerize, pipeline, deploy, provision, instrument, and troubleshoot end to end.

Student Reviews

What Our Students Say

4.5
★★★★
Overall rating from learners across batches
5 ★
72%
4 ★
20%
3 ★
8%
★★★★★

"The Kubernetes, Terraform, and GitOps modules were exceptional. Real production-style scenarios made every concept click, and the integrated project tied everything together."

Rahul Sharma
Platform Engineer · Bangalore
★★★★★

"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."

Priya Menon
DevOps Engineer → SRE · Hyderabad
★★★★

"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."

Karthik Nair
Cloud Infrastructure Engineer · Chennai
Your Instructors

Meet Our Platform Engineering Trainers

Learn from two experienced practitioners who bring real-world DevOps, SRE, and Cloud engineering expertise into every live session.

👨‍💻

Abdhul

Platform Engineering Trainer · DevOps & Cloud Infrastructure Expert
12+
Years Exp.
4+
Yrs Teaching
300+
Students
100%
Hands-on
DevOpsKubernetesDockerTerraformGitOps & ArgoCDCloud InfrastructureAzure & AWS

Engineer. Automation Specialist. Builder of Cloud-Native Platforms.

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.

With 4+ years of teaching experience and 300+ students trained, Abdhul is passionate about sharing real-world knowledge through hands-on labs and production-style use cases. He specializes in container orchestration, infrastructure automation, and GitOps-driven delivery pipelines, helping learners build practical, job-ready skills.

🏗️ Platform & Cloud Engineering

Designing scalable, reliable, automated platforms across Azure and AWS.

☸️ Kubernetes at Scale

Pods, Deployments, Helm charts, and production-grade orchestration.

🔄 GitOps & Automation

ArgoCD, Terraform, GitLab CI/CD — automation-first delivery pipelines.

👨‍🏫

Hari

Platform Engineering Trainer · SRE & Observability Expert
10+
Years Exp.
4+
Yrs Teaching
300+
Students
100%
Hands-on
Platform EngineeringSRECI/CD PipelinesOpenTelemetryMonitoring & ObservabilityLinux & NetworkingSecurity Essentials

Platform Engineer. Reliability Specialist. Champion of Production Excellence.

Hari is an experienced Platform Engineering and Site Reliability professional with 10+ years of industry experience building and operating resilient, observable, and secure cloud-native platforms. He has deep expertise in CI/CD pipeline design, incident management, and monitoring stacks that keep production platforms running smoothly at scale.

With 4+ years of teaching experience and 300+ students trained, Hari brings a Platform Engineer's end-to-end perspective to the classroom — covering industry best practices, SLIs/SLOs, and real-time project scenarios. His engaging, practical teaching style helps students understand complex reliability and observability concepts and apply them confidently in real-world environments.

🏗️ Platform Engineering

Building and operating reliable, production-grade cloud-native platforms.

📊 Observability & SRE

OpenTelemetry, LGTM stack, SLIs/SLOs, and incident management.

🔧 CI/CD Pipelines

GitLab CI/CD design, testing automation, and deployment strategies.

🔐 Security & Reliability

Security essentials, Linux/networking fundamentals, production readiness.

Certification

Your Certificate of Completion

Earn a course completion certificate from Isha Training Solutions upon successfully finishing the 45-day Platform Engineering program.

Isha Training Solutions
Certificate of Completion
This certifies that
[ Your Name Here ]
has successfully completed the 45-day
Platform Engineering program
covering DevOps, SRE, Cloud, Kubernetes, Terraform, GitOps & Observability.

Sample certificate layout — your name will be printed upon completion

🎓
Official & Verifiable
Issued by Isha Training Solutions with a unique registration number — shareable and verifiable by employers.
💼
Resume & LinkedIn Ready
Showcase your DevOps, SRE, Kubernetes, and Platform Engineering expertise on LinkedIn and your resume.
🛠️
Backed by a Real Project
Your certificate reflects completion of the integrated real-time project, not just attendance.
📞
Questions? Reach Us
Call or WhatsApp: +91-9133190573  /  +91-8977922427
⚠️
Important Note

Batch Policy — Please Read Before Enrolling

To maintain the quality of our training and ensure a smooth learning experience for all participants, we do not allow batch repetition or switching between courses.

Moving from one course to another or shifting from one trainer to another (even if it is the same course) is not possible. Changing batches or trainers in any form is strictly not permitted.

We request all learners to attend the scheduled sessions regularly and make the most of their learning journey. Thank you for your understanding and continued support.

✦ Enroll Today ✦

Ready to Become a Platform Engineer?

Join learners transforming their careers with hands-on, production-style training. 45 days. A real integrated project. Real skills.

45 Days Live Training 💰 ₹9,900 / $119 18 Curriculum Modules Free Demo — 3rd August Mon – Fri · 1 hr/session OpenTelemetry with LGTM