linux aws & devops combo

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In today’s rapidly evolving IT landscape, Linux, Cloud Computing, and DevOps are the backbone of modern infrastructure and application delivery. Enterprises are increasingly relying on open-source operating systems, cloudnative platforms, and automation pipelines to drive efficiency,scalability, and innovation. This comprehensive 250-hour training program is meticulously designed to transform learners — whether freshers, working professionals, or career switchers — into job-ready Linux System Administrators, AWS Cloud Engineers, and DevOps Practitioners. Over a span of 6 months, this instructor-led, practical, and project-driven course delivers hands-on experience with industry-standard tools, real-world deployment scenarios, and job-oriented use cases that reflect current demands in production-grade environments.

• Duration: 250 Hours
• Schedule: Weekdays/Weekends (flexible batches)
• Mode: Instructor-Led Live Sessions / Classroom / Hybrid
• Assignments: 100+ practical tasks
• Projects: 5+ real-time DevOps & Cloud deployment
projects
• Certifications Covered:
o Red Hat RHCSA/RHCE
o AWS Certified Solutions Architect – Associate
o Certified Kubernetes Administrator (CKA)
o Terraform Associate
o Docker Certified Associate
o GitOps & Jenkins CI/CD Certificates

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Overview

The Syllabus

Curriculum Designed by Experts

🚀 Introduction to the Combo Program: Red Hat Linux + AWS + DevOps

In today’s rapidly evolving IT landscape, organizations are no longer relying on a single technology stack. Instead, they are adopting a hybrid, automated, and cloud-driven infrastructure model. This shift has created an unprecedented demand for professionals who understand not just one domain, but a combination of core infrastructure technologies.

The Red Hat Linux + AWS + DevOps combo program is designed to meet exactly this industry demand—preparing learners to become job-ready infrastructure engineers capable of working across on-premise data centers, cloud environments, and automated DevOps pipelines.

Red Hat Linux Training Syllabus (Basic → Advanced)

covering the topics of
**Red Hat Enterprise Linux certifications such as Red Hat Certified System
Administrator (RHCSA) and Red Hat Certified Engineer (RHCE).

Covers each topics with Real Time Examples . Covers More than 250+ Real Time
Scenarios which is divided into L1 (Basic) + L2 (Intermediate) and L3 (Advanced).

Trainer from Real Time Industry. This is completely hands-on training ,which covers 90% Practical And 10% Theory.

We give Combo Pack of RHEL 8 with RHEL 9 and RHEL 10 , to make sure all the candidate will get at least 5+ Year experience knowledge in Redhat Linux after attending this course.

Covers SA1 + SA2 + SA3 topics in Details from the very basic
to advanced level.

Complete RHCSA and RHCE Exam Preparations. Appear for Redhat Global
Certification Exam At any time After the course – No need to wait to get schedule
from Redhat .

At your convenient time , you can book and appear for exam using our
Individual Exam Delivery System called KOALA

Duration of Training : 80 to 100 hrs ( including Theory and Practical )
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training

The syllabus is designed for enterprise system administration roles, including real-world troubleshooting assignments, configuration tasks, and infrastructure projects.

Extra Miles We Go :- Apart from RedHat syllabus , we also focus on Python | AWS & Devops Basic Configuration and Scripting for the system administrators

What You are Going to Gain After Training. – You will get a 3 to 4 + Year
Experienced system Administrators Knowledge after this training . From Day 1 , You can work as confident Linux system administrator

Methodology of Training. : Complete Hands on training with 90% Practical and 10% Theory

Fact & History About Linux Course with Radical – Every One who is having
RHCSA Certification are placed with our client with Minimum Salary of 4.5 Lakhs per Annum . None of them are Jobless .

Part 1: RHCSA (Red Hat Certified System Administrator)

Focus: Core Linux Administration Skills
Red Hat System Administration I (RH124)
Red Hat System Administration II (RH134)

Module 1: Linux Basics and Command Line Tools

Topics
Linux architecture
File system hierarchy
Command-line usage
Text processing tools
File compression and archiving
Input/output redirection
Labs
Navigate file system
Search files
Compress and extract archives
Assignment
Find files larger than 200MB and archive them into a backup file.
Job-Oriented Scenario
A developer accidentally deleted logs.
Recover compressed backup files from archive.

Module 2: User and Group Administration

Topics
Creating users
Managing groups
Password policies
Default user settings
Privilege delegation using sudo
Labs
Create users
Assign groups
Configure sudo access
Assignment
Create users for HR, Finance, and IT departments.
Job Scenario
A developer needs temporary administrative access.
Configure secure sudo access.

Module 3: File Permissions and Access Control

Topics
File permissions
Ownership
Special permissions (SUID, SGID, Sticky bit)
Access Control Lists (ACL)
Labs
Configure permissions for shared directories
Implement ACL rules
Assignment
Create shared project directory accessible by multiple teams.
Job Scenario
Allow read access to one user without changing file ownership.

Module 4: Process Management

Topics
Process monitoring
Process lifecycle
Background jobs
Resource usage monitoring
Commands
ps
top
kill
nice
renice
Labs
Identify high CPU processes
Manage background jobs
Assignment
Write command sequence to identify top memory consuming process.
Job Scenario
Production server is slow.
Find process causing CPU overload.

Module 5: Package Management

Topics
RPM package system
Repository configuration
Installing software packages
Updating packages
Querying packages
Labs
Install packages
Configure local repository
Assignment
Install web server packages from repository.
Job Scenario
Server cannot access internet repository.
Create local package repository.

Module 6: Storage Management (Important RHCSA Topic)

Topics
Disk partitions
File systems
Mounting storage
Persistent mounts
Logical Volume Manager (LVM)
Disk quotas
Labs
Create partitions
Create logical volumes
Extend storage
Assignment
Create 10GB logical volume and mount permanently.
Job Scenario
Database server storage is full.
Extend logical volume without downtime.

Module 7: Networking Configuration

Topics
Configure IP addresses
Configure hostname
DNS configuration
Network troubleshooting
Labs
Configure static IP
Configure hostname
Assignment
Configure two servers to communicate over network.
Job Scenario
Users cannot access server due to incorrect network configuration.

Module 8: Firewall and Security

Topics
Firewall configuration
Allow and block ports
Secure shell configuration
Labs
Configure firewall rules
Enable SSH access
Assignment
Allow web server traffic through firewall.
Job Scenario
Application is running but users cannot access it due to firewall rules.

Module 9: SELinux Administration

Topics
SELinux modes
SELinux policies
File context management
Troubleshooting SELinux issues
Labs
Restore SELinux contexts
Modify SELinux rules
Assignment
Fix web server access issue caused by SELinux.
Job Scenario
Application fails after SELinux policy enforcement.

Module 10: Log Monitoring and Troubleshooting

Topics
System log files
Log monitoring
Troubleshooting system failures
Labs
Analyze logs
Identify errors
Assignment
Identify reason for service failure using log files.

RHCSA Capstone Project

Enterprise Linux Server Deployment
Tasks include:
Install Linux server
Configure users
Configure storage using LVM
Configure networking
Configure firewall and SELinux
Deploy web server
Deliverables
Server documentation
Configuration scripts.

PART 2: RHCE (RED HAT CERTIFIED ENGINEER)

Focus: Automation using Ansible
Uses tool: Ansible
Red Hat System Administration III: Linux Automation with Ansible (RH294)

Module 11: Introduction to Automation

Topics
Automation concepts
Infrastructure automation
Configuration management
Ansible architecture
Labs
Install Ansible
Configure inventory
Assignment
Run commands on multiple servers using Ansible ad-hoc commands.

Module 12: Ansible Playbooks

Topics
YAML syntax
Playbook structure
Tasks and modules
Variables
Labs
Write playbooks
Execute automation tasks
Assignment
Create playbook to install web server on multiple machines.

Module 13: Managing Files with Ansible

Topics
Copy files
Manage configuration files
Template management
Labs
Deploy configuration files to servers
Assignment
Deploy application configuration file to 5 servers.

Module 14: User Management with Ansible

Topics
Manage groups
Manage SSH keys
Labs
Automate user creation
Assignment
Create 10 users across servers using playbook.

Module 15: Service Management with Ansible

Topics
Start and stop services
Enable services
Restart services
Labs
Manage services across multiple servers
Assignment
Ensure web server service is running on all nodes.

Module 16: Ansible Roles

Topics
Role structure
Role variables
Reusable automation roles
Labs
Create reusable roles
Assignment
Create role for installing Apache web server

Module 17: Advanced Ansible Automation

Topics
Loops
Conditionals
Handlers
Error handling
Labs
Implement conditional automation
Assignment
Automate full server configuration using playbooks.

RHCE Capstone Project

Automated Infrastructure Deployment
Using Ansible:
Deploy web servers
Configure firewall
Create users
Deploy application configuration
Start services
Deliverables
Automation scripts
Server configuration reports.

Enterprise Skills Gained

Linux system administration
Server troubleshooting
Storage management
Security configuration
Automation using Ansible
Infrastructure deployment

Job Roles After RHCSA & RHCE

Linux System Administrator
Linux Engineer
DevOps Engineer
Cloud Infrastructure Engineer
Site Reliability Engineer

PYTHON | AWS | DEVOPS FOR SYSTEM ADMINISTRATORS .

PART 1: PYTHON FOR LINUX SYSTEM ADMINISTRATORS

Duration: 7 Hours
Objective
Enable Linux admins to automate system administration tasks using Python scripts.

Module 1: Introduction to Python (1 Hour)

Topics
Introduction to Python
Why Python is popular for DevOps and system administration
Installing Python on Linux
Python interpreter and script execution
Writing first Python program

Lab
Write a script to print:
Hostname
Current date
System uptime
Assignment
Create a Python script that displays:
CPU usage
Memory usage
Disk usage.

Module 2: Python Basics for Automation (2 Hours)

Topics
Variables and data types
Lists, tuples, dictionaries
Conditional statements (if/else)
Loops (for / while)
Functions
Lab
Write scripts to:
Check disk space
List running processes
Assignment
Create a script that monitors disk space and alerts when usage exceeds 80%.

Module 3: File Handling and System Interaction (2 Hours)

Topics
Reading and writing files
Log file analysis
Using OS module
Running Linux commands from Python
Working with environment variables
Lab
Create script to analyze Linux system logs.
Assignment
Write Python script to:
Check log files
Detect error messages
Generate report

Module 4: Automation Scripts for Linux Admins (2 Hours)

Topics
Automating user creation
Backup automation
Monitoring scripts
Scheduling scripts using cron
Mini Project
Create server health monitoring script.

PART 2: AWS FUNDAMENTALS FOR LINUX ADMINISTRATORS

Module 5: Introduction to Cloud Computing (1 Hour)

Topics
Cloud computing concepts
Benefits of cloud
Types of cloud models
Infrastructure as a Service
Overview of Amazon Web Services
Assignment
Compare on-premise infrastructure vs cloud infrastructure.

Module 6: AWS Core Services (3 Hours)

Topics
AWS Global Infrastructure
Core services used by system administrators:
Compute
Amazon EC2
Storage
Amazon S3
Networking
Amazon VPC
Identity and Access Management
AWS Identity and Access Management
Lab
Create EC2 Linux instance
Connect using SSH
Upload files to S3.
Assignment
Launch Linux web server on EC2.

Module 7: AWS for Linux Administrators (3 Hours)

Topics
Key pairs and security groups
Elastic IP
Storage options (EBS)
Monitoring with Amazon CloudWatch
Auto scaling concept
Lab
Configure web server on EC2 instance.
Mini Project
Deploy Linux Apache web server on AWS cloud.

PART 3: DEVOPS FUNDAMENTALS FOR LINUX SYSTEM ADMINISTRATORS

Duration: 6 Hours

Module 8: Introduction to DevOps (1 Hour)

Topics
What is DevOps
DevOps lifecycle
Continuous Integration
Continuous Delivery
Role of Linux administrators in DevOps
Assignment
Explain how DevOps improves software deployment speed.

Module 9: Version Control with Git (2 Hours)

Topics
Introduction to Git
Repository
Commit
Branch
Merge
Git workflow
Lab
Create Git repository
Push code to Git server.
Assignment
Maintain automation scripts in Git repository.

Module 10: Containerization Basics (2 Hours)

Topics
Introduction to Docker
What is containerization
Containers vs virtual machines
Docker architecture
Docker images and containers
Running containers
Lab
Run Linux container using Docker.
Assignment
Deploy web application inside Docker container.

Module 11: CI/CD Basics (1 Hour)

Topics
Introduction to Jenkins
CI/CD pipeline concept
Automated builds
Integration with Git
Deployment automation overview
Lab
Understand basic CI/CD workflow.

Final Mini Project

Linux DevOps Automation Project
Students will:
Write Python script for system monitoring
Store code in Git repository
Deploy application on AWS EC2
Run application using Docker container

Skills Gained

Linux automation using Python
Basic cloud infrastructure deployment
Version control with Git
Containerization with Docker
Understanding of DevOps workflows

AWS SOLUTION ARCHITECT

Basic → Advanced AWS Solution Architect syllabus, designed to make you a
Job-Ready Advanced Cloud Engineer.
This is much deeper than the AWS SAA-C03 exam syllabus — it includes real-time enterprise scenarios, architectures,troubleshooting, DevOps + Cloud integrations, and hands-on labs used in top MNCs.
Will be also covering Fundamentals of Linux and Devops and Python Scripting along with this course .

AWS Solution Architect – Basic to Advanced (Job-Oriented) Full Syllabus Ideal for:

✔ Cloud Engineer
✔ AWS Solutions Architect
✔ DevOps + Cloud Engineer
✔ Cloud Infrastructure Engineer
✔ SRE / Platform Engineer

Module 1: Cloud Basics & AWS Foundation (4–5 Hours)

Topics
Cloud Computing fundamentals
IaaS, PaaS, SaaS models
AWS Global Infrastructure
Regions, AZs, Edge Locations
Shared Responsibility Model
AWS Well-Architected Framework (all 6 pillars)
Billing & Cost fundamentals
IAM basics — Users, Groups, Policies
Labs
Create AWS account
Configure Billing Alerts
IAM Users + MFA setup

Module 2: Identity & Access Management (IAM) – Deep Dive (3–4 Hours)

Topics
IAM Policies & Policy Evaluation Logic
Roles, STS, Access Keys
Permission Boundaries
Resource Policies, Trust Policies
Cross-Account Access
Organizations & SCP (Service Control Policies)
Identity Center (SSO) Integration
IAM Analyzer
Labs
Create IAM roles with cross-account access
Create SCPs to restrict admin users
IAM Access Analyzer to detect over-permissioned roles

Module 3: VPC & Networking (Advanced Level) – 8–10 Hours

Topics
VPC Core Concepts
Subnets, Route Tables, IGW, NAT, NACL vs SG
VPC Endpoints (Gateway + Interface)
DHCP Options Set
Public vs Private Subnet Design
Advanced VPC
Transit Gateway
VPC Peering (Inter-region, Intra-region)
Hybrid Networking
VPN Site-to-Site
Direct Connect
Multi-VPC Hub & Spoke architectures
IPv6 end-to-end networking
DNS: Route53 deep dive
Private Hosted Zones
Failover Routing
Geolocation Routing
Labs
Build multi-AZ VPC
Create PrivateLink endpoint for internal apps
Connect 2 VPCs using peering
Configure Transit Gateway multi-VPC communication
Job-Oriented Scenarios
“Intermittent packet loss from private subnet” troubleshooting
“Application reachable via IGW but not via internal LB”
“Hybrid network outage RCA”

Module 4: EC2 & Compute Mastery (5–7 Hours)

Topics
EC2 instance families, Nitro architecture
Launch Templates, Auto Scaling Groups (ASG)
Placement Groups (Cluster, Spread, Partition)
Spot Instances — diversification, capacity handling
EBS types, performance tuning (PIOPS)
Instance Store vs EBS vs EFS
EC2 metadata IMDSv2
Elastic Load Balancing (ALB, NLB, GLB)
Autoscaling advanced
Step scaling
Predictive scaling
Target tracking
Labs
Create Auto-Scaling group with ALB
Configure NLB + PrivateLink
EC2 rescue for failed boot
AMI building & automation
Job Scenarios
EC2 instance CPU spikes troubleshooting
ASG not scaling during high load
Root volume corruption recovery

Module 5: Storage & Databases (5–6 Hours)

Topics
Storage
EBS (GP3, IO2) optimization
EFS (performance modes, concurrency)
FSx (Windows, Lustre, OpenZFS)
S3 internals & Security
Object Lock
Lifecycle & Intelligent Tiering
S3 Access Points
Replication (CRR/SSR)
Databases
RDS (Multi-AZ, Read Replicas)
Aurora (Serverless v2, Global DB)
DynamoDB (streams, DAX, on-demand)
ElasticCache (Redis & Memcached)
Redshift architecture
Labs
S3 bucket policy & encryption
Deploy Aurora with automatic failover
EFS for web servers in ASG
DynamoDB with Autoscaling
Job Scenarios
RDS failover troubleshooting
S3 public access blocker bypass recovery
DynamoDB throttling issues

Module 6: Containers, Serverless & Modern Architecture (5–7 Hours)

Topics
Containers
ECS architecture
EC2 vs Fargate launch types
ECR Lifecycle Policies
Service Mesh with App Mesh
Serverless
AWS Lambda: versions, aliases, layers
Step Functions (Standard vs Express)
EventBridge advanced patterns
API Gateway (REST vs HTTP vs WebSocket)
SQS/SNS patterns
Kinesis Data Streams + Firehose
Labs
Deploy a serverless API (API GW → Lambda → DynamoDB)
Deploy ECS service with ALB
Build CI/CD for ECR + ECS
Job Scenarios
Lambda timeout debugging
ECS task stuck in PENDING

Module 7: Infrastructure as Code – Terraform & CloudFormation (4–6 Hours)

Topics
CloudFormation templates
Nested stacks
Drift detection
Terraform:
Modules
Workspaces
State management
Remote state backends
Terraform + AWS integration patterns
Labs
Build VPC using Terraform
Automate ALB + ASG infra using IaC
Migrate manual resources to Terraform
Job Scenarios
Terraform state corruption fix
Drift between manual & IaC deployment

Module 8: Monitoring & Logging (3–4 Hours)

Topics
CloudWatch Metrics, Logs, Alarms
Container Insights
CloudTrail advanced logging
OpenSearch for log analytics
X-Ray tracing for distributed apps
Labs
Create metric alarms for ASG & RDS
Centralized logging using CloudWatch + OpenSearch
Trace application latency using X-Ray
Scenarios
Disk burst on EC2 leading to slow website
Lambda cold-start monitoring

Module 9: Security, Compliance & Governance (5–6 Hours)

Topics
KMS CMKs, Auto-Key Rotation
Secrets Manager & Parameter Store
Inspector, GuardDuty, Macie
WAF + Shield Advanced
S3 bucket hardening
Zero Trust in AWS
IAM Access Analyzer
Config + Security Hub
CloudTrail multi-region setup
AWS Organizations & Governance
Labs
Encrypt EC2, RDS, and S3 with KMS
WAF rules for OWASP Top 10
Enable GuardDuty and detect threats
Scenarios
Breached IAM keys rotation & containment
S3 accidental public exposure fix

Module 10: High Availability, DR & Migration Strategies (6–8 Hours)

Topics
Multi-AZ vs Multi-Region design
Pilot Light, Warm Standby, Multi-Site DR
RPO/RTO calculations
AWS Backup strategies
Migration tools: SMS, DMS, Application Migration Service
Blue/Green & Canary deployments
Hybrid Cloud architectures
Global Accelerator
Failover Testing methodologies
Labs
Multi-Region failover using Route53
DMS for database migration
Lift & Shift migration of on-prem application
Scenarios
Application outage in one region – failover to another
Database migration with zero downtime

⭐ Outputs (What You’ll Gain)

✔ Real-world Solution Architect skills
✔ Enterprise Architecture Design capability
✔ Advanced VPC / Networking mastery
✔ Serverless + Containers production-level skills
✔ IaC automation (Terraform + CloudFormation)
✔ DR, Migration, HA expertise
✔ Troubleshooting experience (L1 → L3)
✔ Job-oriented tasks performed in MNCs

Linux Fundamentals for Cloud Engineers

Duration: 12–15 Hours
Level: Beginner to Early-Intermediate
Pre-requisites: Basic IT knowledge

1. Linux & Cloud Overview

• Why Linux dominates Cloud platforms
• Linux distributions in Cloud
o Amazon Linux, RHEL, Ubuntu
• Linux vs Windows in cloud workloads
• SSH & key-based access concept

2. Linux Installation & Access (Cloud Context)

• Cloud VM concepts (EC2 / VM / Compute Engine)
• Connecting to Linux Cloud VMs
o SSH
o Key pairs (.pem / .ppk)
• Terminal basics
Hands-On
• SSH to cloud Linux VM
• Understand directory structure

3. Linux File System & Commands (Must-Know)

• Linux directory structure
• File & directory commands
o ls, cd, pwd
o cp, mv, rm
o touch, mkdir
• Viewing files
o cat, less, more, head, tail
• Search & filters
o grep, find
• File permissions
o chmod, chown

4. Users, Groups & Permissions

• Users & groups
• /etc/passwd, /etc/shadow, /etc/group
• Sudo access
• Secure permission practices in cloud
Hands-On
• Create cloud admin user
• Configure sudo access

5. Package Management

• Package managers
o yum, dnf, apt
• Installing, updating & removing packages
• Repositories concept
Hands-On
• Install Apache / Nginx
• Verify running services

6. Process & Service Management

• Linux processes
o ps, top, htop
• Service management
o systemctl
• Enable services at boot
• Troubleshooting crashed services

7. Networking Basics (Cloud-Relevant)

• IP addressing basics
• Check network info
o ip, ss, netstat
• DNS resolution
• Ports & firewall basics
o firewalld, iptables (intro)
• Security Groups vs Linux firewall

8. Storage & Disk Management

• Linux disk concepts
• Mounting file systems
• Cloud disks (EBS / Persistent Disk)
• Resize disks & file systems
Hands-On
• Attach new disk & mount
• Extend file system

9. Logs & Troubleshooting

• Log locations
o /var/log
• Important logs
o messages, secure, syslog
• Journal logs
o journalctl
• Basic troubleshooting approach

10. Automation Basics for Cloud

• Shell scripting fundamentals
• Environment variables
• Cron jobs
• Startup scripts (cloud bootstrapping)

11. Security Basics for Cloud Linux

• SSH hardening
• Disable root login
• Key-based authentication
• File permission best practices

12. Linux for DevOps & Cloud Tools

• Linux + Git basics
• Linux + Docker (intro)
• Linux + Cloud CLI tools
o AWS CLI / Azure CLI (concept)

DevOps Fundamentals for Cloud Engineers

Duration: 10–12 Hours
Level: Beginner → Early-Intermediate
Pre-requisites:
• Basic Linux
• Basic Cloud (AWS/Azure/GCP fundamentals)

1. DevOps for Cloud Engineers (Mindset + Reality)

• Why DevOps is critical in Cloud
• Traditional Ops vs Cloud Ops vs DevOps
• DevOps Culture (CALMS)
• Cloud Engineer vs DevOps Engineer vs SRE
• Real DevOps responsibilities in cloud teams

2. Cloud-Native DevOps Lifecycle

• CI/CD in Cloud environments
• Infrastructure lifecycle in cloud
• Immutable vs mutable infrastructure
• Blue-Green & Canary deployments (concept)
• DevOps lifecycle mapped to AWS/Azure/GCP

3. Version Control (Mandatory Skill)

• Git fundamentals (Ops-focused)
o Repos, commits, branches, tags
• Git workflow for Cloud Engineers
• GitHub / GitLab / Bitbucket overview
Hands-On
• Create repo
• Push infra/config files
• Rollback using Git

4. CI/CD Fundamentals (Cloud Perspective)

• Continuous Integration vs Continuous Delivery vs Deployment
• Pipeline stages
• Jenkins / GitHub Actions / GitLab CI (overview)
• Cloud-native CI/CD tools
• AWS CodePipeline
• Azure DevOps
Demo
• CI pipeline flow walkthrough

5. Containers for Cloud Engineers

• Why containers dominate cloud
• Docker architecture
• Image vs Container
• Container registry (ECR / ACR / Docker Hub)
Hands-On
• Run containerized application
• Push image to registry (demo)

6. Kubernetes Fundamentals (Cloud-Native Ops)

• Why Kubernetes in cloud
• Cluster architecture
• Nodes, Pods, Services
• Managed Kubernetes
o EKS / AKS / GKE
• Kubernetes vs VM-based deployments

7. Infrastructure as Code (IaC)

• Why IaC is mandatory for cloud
• Terraform overview
• CloudFormation / ARM templates (concept)
• State management
• IaC best practices
Use Case
• Provision cloud infra using IaC (concept flow)

8. Monitoring, Logging & Reliability

• Observability basics
o Metrics, Logs, Traces
• Cloud monitoring tools
o CloudWatch / Azure Monitor
• Prometheus & Grafana overview
• Incident response basics
• SRE principles (intro)

9. Security in Cloud DevOps (DevSecOps)

• Shared Responsibility Model
• Secrets management
• IAM & RBAC in pipelines
• Shift-Left Security
• Vulnerability scanning (concept)

10. Cost, Governance & Automation

• Cost optimization mindset
• Auto-scaling & right-sizing
• Policy as Code (concept)
• Automation with cloud CLIs & scripts

11. Real-World Cloud DevOps Scenarios

• CI/CD pipeline failure troubleshooting
• Application not reachable after deployment
• Kubernetes pod crash loop
• Infrastructure drift detection
• Rollback strategies in production

Tools Covered (Concept + Demo)

• Git
• Jenkins / GitHub Actions
• Docker
• Kubernetes
• Terraform
• Cloud Monitoring Tools

Python for System Administrators

Duration: 7 Hours
Objective
Enable Linux admins to automate system administration tasks using Python
scripts.

Module 1: Introduction to Python (1 Hour)

Topics
Introduction to Python
Why Python is popular for DevOps and system administration
Installing Python on Linux
Python interpreter and script execution
Writing first Python program
Lab
Write a script to print:
Hostname
Current date
System uptime
Assignment
Create a Python script that displays:
CPU usage
Memory usage
Disk usage.

Module 2: Python Basics for Automation (2 Hours)

Module 3: File Handling and System Interaction (2 Hours)

Topics
Reading and writing files
Log file analysis
Using OS module
Running Linux commands from Python
Working with environment variables
Lab
Create script to analyze Linux system logs.
Assignment
Write Python script to:
Check log files
Detect error messages
Generate report.

Module 4: Automation Scripts for Linux Admins (2 Hours)

Topics
Automating user creation
Backup automation
Monitoring scripts
Scheduling scripts using cron
Mini Project
Create server health monitoring script.

DEVOPS COURSE CONTENT

Mode: Mixed (Pre-recorded + Live)
Duration: 70Hours
Audience: Developers, Network Admins, Database Admins, System
Admins, Application Support, or anyone transitioning into DevOps

Linux Fundamentals for Devops Engineers

Duration: 12–15 Hours
Level: Beginner to Early-Intermediate
Pre-requisites: Basic IT knowledge

1. Linux & Cloud Overview

• Why Linux dominates Cloud platforms
• Linux distributions in Cloud
o Amazon Linux, RHEL, Ubuntu
• Linux vs Windows in cloud workloads
• SSH & key-based access concept

2. Linux Installation & Access (Cloud Context)

3. Linux File System & Commands (Must-Know)

4. Users, Groups & Permissions

• Users & groups
• /etc/passwd, /etc/shadow, /etc/group
• Sudo access
• Secure permission practices in cloud
Hands-On
• Create cloud admin user
• Configure sudo access

5. Package Management

• Package managers
o yum, dnf, apt
• Installing, updating & removing packages
• Repositories concept
Hands-On
• Install Apache / Nginx
• Verify running services

6. Process & Service Management

• Linux processes
o ps, top, htop
• Service management
o systemctl
• Enable services at boot
• Troubleshooting crashed services

7. Networking Basics (Cloud-Relevant)

• IP addressing basics
• Check network info
o ip, ss, netstat
• DNS resolution
• Ports & firewall basics
o firewalld, iptables (intro)
• Security Groups vs Linux firewall

8. Storage & Disk Management

• Linux disk concepts
• Mounting file systems
• Cloud disks (EBS / Persistent Disk)
• Resize disks & file systems
Hands-On
• Attach new disk & mount
• Extend file system

9. Logs & Troubleshooting

• Log locations
o /var/log
• Important logs
o messages, secure, syslog
• Journal logs
o journalctl
• Basic troubleshooting approach

10. Automation Basics for Cloud

• Shell scripting fundamentals
• Environment variables
• Cron jobs
• Startup scripts (cloud bootstrapping)

11. Security Basics for Cloud Linux

• SSH hardening
• Disable root login
• Key-based authentication
• File permission best practices

12. Linux for DevOps & Cloud Tools

• Linux + Git basics
• Linux + Docker (intro)
• Linux + Cloud CLI tools
o AWS CLI / Azure CLI (concept)

Real-World Cloud Scenarios

• VM not reachable via SSH
• Disk full on cloud VM
• Service not starting after reboot
• High CPU usage troubleshooting
• Securing production Linux VM

Cloud Computing: AWS Fundamentals for Devops Engineers

• What is Cloud Computing
• What are different cloud vendors
• IAAS, PAAS, SAAS
• Public and Private Cloud
• AWS Infrastructure
• AWS Billing
• AWS Account Types
• AWS Support Center
• GitHub: https://github.com/aws

AWS Services

• IAM User, Group, Role, Policy Document, Access Key, Secret Access
Key
• S3 Bucket and Object
• EC2 Provisioning Linux virtual machine on AWS
• VPC Provisioning virtual network on AWS cloud

Module 1: Development Environment Setup

1. Install and configure Java 21 on Windows
2. Install and configure Maven
3. Install Git
4. Install Visual Studio Code (VSCode)
5. Install IntelliJ IDEA
6. Create a GitHub Account
7. Create a Free AWS Account
8. Install and configure AWS CLI
9. Create an IAM User and configure credentials
10. Generate GitHub Token
11. Create and initialize a GitHub Repository

🚀 Python Fundamentals for DevOps Engineers (15 Hours)

🚀 Focus:
Automation | Scripting | CI/CD | Cloud | Real-Time DevOps Tasks
Level: Beginner → Job-ready Basics
Approach: 70% Hands-on + 30% Theory
🚀 15-HOUR TRAINING BREAKDOWN

Module 1: Python Basics (Quick Start)

Duration: 2 Hours
Topics:
• Python installation & execution
• Variables, data types (int, string, boolean)
• Input/output operations
• Type casting
🚀 Assignments:
• Script to print server details
• Convert storage units (GB → MB)
🚀 Mini Task:
👉 CLI script to accept environment name (Dev/QA/Prod)

Module 2: Control Flow & Loops

Duration: 2 Hours
Topics:
• if-else conditions
• for & while loops
• Logical operators
🚀 Assignments:
• Check server status (UP/DOWN simulation)
• Loop through list of IPs
🚀 Mini Task:
👉 Basic server monitoring script

Module 3: Data Structures (DevOps Usage)

Duration: 2 Hours
Topics:
• Lists, dictionaries (most important)
• JSON handling (API responses)
🚀 Assignments:
• Store server inventory in dictionary
• Parse JSON data
🚀 Mini Task:
👉 Create mini inventory system (like Ansible)

Module 4: Functions & Reusability

Duration: 1.5 Hours
Topics:
• Functions, arguments, return values
• Code modularization
🚀 Assignments:
• Function to check disk usage
• Function to restart service

Module 5: File Handling & Logs

Duration: 2 Hours
Topics:
• Read/write files
• Log file parsing
🚀 Assignments:
• Extract ERROR logs from file
• Count failed login attempts
🚀 Mini Project:
👉 Log analyzer script

Module 6: OS & System Automation

Duration: 2 Hours
Topics:
• os, subprocess
• Running Linux commands via Python
• Environment variables
🚀 Assignments:
• Check disk/memory usage
• Restart services via script
🚀 Mini Project:
👉 System health check automation

Module 7: API Automation (Critical Skill)

Duration: 2 Hours
Topics:
• REST API basics
• requests module
• GET/POST calls
🚀 Assignments:
• Fetch API data
• Trigger Jenkins job using API
🚀 Mini Project:
👉 API-based deployment trigger tool

Module 8: Python with AWS (Intro)

Duration: 1.5 Hours
Topics:
• Introduction to Boto3
• EC2 & S3 automation basics
🚀 Assignments:
• Launch EC2 (demo script)
• Upload file to S3

🚀 Final Capstone (hands-on –1 Hour)

🚀 Project:
👉 “DevOps Automation Script”
Features:
• Read server list from file
• Check server health
• Log output
• Trigger deployment via API

Module 1: Development Environment Setup

✅Assignments:
• Install Java, Maven, Git, AWS CLI
• Create GitHub repo & push sample code
• Configure IAM user with CLI access
🚀 Mini Project:
👉 Setup complete DevOps developer environment and push a sample Java
app
🚀 Scenario:
• Onboarding new developer into enterprise DevOps environment

Module 2: Monolith and Microservices

Overview: Learn to develop microservices from scratch using Java,
compile, package, and run microservices locally using Maven.
Hands-on: Build and test your microservices in a local environment with
practical implementation exercises.
• Develop microservices from scratch using Java
• Compile, package, and run microservices on local machine using
Maven
• Test your microservices locally
• GitHub: https://github.com/spring-projects/spring-boot
✅Assignments:
• Convert monolithic app into 2 microservices
• Build using Maven
🚀 Project:
👉 Build E-commerce Microservices (Product + Order Service)
🚀 Scenario:
• Migrating legacy banking application to microservices

Module 3: Source Version Control

Git: Essential distributed version control system for tracking code changes
and collaboration.
Skills: Master virtual staging area, branching, merging, and essential Git
operations for professional development workflows.
• Git: DVCS, virtual area, Git operations
• GitHub: https://github.com/git/git
✅Assignments:
• Branching strategies (feature, release, hotfix)
• Pull request + code review workflow
🚀 Project:
👉 Implement GitFlow strategy for microservices project
🚀 Scenario:
• Handling multiple developers working on same repo

Module 4: Source Code Management

GitHub: Industry-standard platform for hosting Git repositories and
enabling team collaboration.
Features: Learn repository management, branching strategies, code
reviews, and automated workflows for efficient project delivery.
• GitHub: Public and Private Repositories, branching strategies, code
promotions, webhooks, branch permissions, best practices
• GitHub: https://github.com/github

Module 5: Build Tools

Maven: Powerful build automation tool that simplifies Java project
management and dependency resolution.
Mastery: Configure POM files, manage dependencies, plugins, and
repositories for streamlined development and deployment processes.
• Maven: Build automation using pom.xml, dependencies, plugins,
settings.xml, repository
• Compile, package, and run Java-based microservices using Maven
• Local repo, central repo, remote repo
• GitHub: https://github.com/apache/maven
✅Assignments:
• Create custom pom.xml
• Dependency management
🚀 Project:
👉 Automate build & packaging for microservices
🚀 Scenario:
• Fixing build failures due to dependency conflicts

Module 6: Core CI/CD with Jenkins

Jenkins: Leading open-source automation server that enables continuous
integration and deployment pipelines.
Implementation: Set up Jenkins on AWS EC2, configure plugins, manage
secrets, and create automated build triggers for efficient software delivery.
• Jenkins: Installation of Jenkins on AWS EC2
• Jenkins Plugins, Tools Configuration, Secrets Configuration, Build
triggers
• Jenkins CLI
• Declarative Pipeline: Syntax for defining Jenkins CI/CD steps using
code
• Parameterized Pipeline
• Jenkins Master-Slave Architecture
• Jenkins User Administration
• GitHub: https://github.com/jenkinsci/jenkins
✅Assignments:
• Create freestyle + pipeline jobs
• Parameterized builds
🚀 Project:
👉 Build End-to-End CI Pipeline
• Code → Build → Test → Package
🚀 Scenario:
• Fix broken CI pipeline in production

Module 7: Containerization using Docker

Docker: Revolutionary containerization platform that packages
applications with their dependencies for consistent deployment across
environments.
Expertise: Master Dockerfile creation, image management, container
orchestration, networking, and storage solutions for modern application
deployment.
• Dockerfile
• Docker images
• Docker containers
• Docker registry
• Docker daemon
• Docker network
• Docker volume
• Docker operations
• Linux Kernel Features: Namespace, Cgroup, IPTables
• GitHub: https://github.com/docker/docker-ce
✅Assignments:
• Create Dockerfile for Java app
• Manage volumes, networks
🚀 Project:
👉 Containerize microservices application
🚀 Scenario:
• Debug container crash in production

Module 8: Managed and Unmanaged Artifact Repositories

Docker Hub: Cloud-based registry service for sharing and managing
Docker container images globally.
Features: Learn image publishing, automated builds, and integration with
CI/CD pipelines for seamless container distribution.
• Create repository on Docker Hub and manually update Docker
images
• Integrate with Jenkins CI pipeline to push images automatically
• GitHub: https://github.com/docker/hub-feedback
AWS ECR: Amazon’s fully managed Docker container registry with
integrated security scanning and seamless AWS service integration.
• Create repository on AWS ECR and push images manually
• Integrate with Jenkins CI pipeline to push images automatically
• GitHub: https://github.com/aws/amazon-ecr-cli
Nexus: Universal artifact repository manager that supports multiple
package formats and provides advanced security features.
• Install and configure Nexus on AWS EC2
• Configure S3 backend for Nexus
• Create Docker repository on Nexus
• GitHub: https://github.com/sonatype/nexus-public
✅Assignments:
• Push images to Docker Hub & AWS ECR
• Configure Nexus repo
🚀 Project:
👉 Centralized artifact management system
🚀 Scenario:
• Secure artifact storage for enterprise apps

Module 9: Continuous Code Inspection Tool

SonarǪube: Comprehensive code quality platform that performs static
analysis to detect bugs, vulnerabilities, and technical debt.
• Install and configure SonarǪube on AWS EC2
• Integrate SonarǪube with Jenkins CI pipeline for automated code
quality analysis
• GitHub: https://github.com/SonarSource/sonarqube
✅Assignments:
• Setup SonarQube
• Analyze code via Jenkins
🚀 Project:
👉 Integrate Quality Gates in CI/CD
🚀 Scenario:
• Reject deployment due to code vulnerabilities

Module 10 Infrastructure as Code with Terraform

Terraform: HashiCorp’s infrastructure provisioning tool that enables
declarative resource management across multiple cloud providers.
Automation: Build scalable, version-controlled infrastructure using HCL
syntax, modules, and state management for reliable deployment
processes
• Terraform: IaC tool to provision and manage cloud resources
declaratively
• Terraform providers
• Terraform blocks: provider{}, terraform{}, resource{}, variable{},
data{}, output{}
• Terraform alias
• Terraform tfvars
• Terraform dependency: implicit and explicit
• Terraform provisioning: local and remote
• Terraform Modules C Backend: Modular, reusable infrastructure with
remote state using S3
• Terraform Jenkins Integration: Automate provisioning using Jenkins
pipelines
GitHub: https://github.com/hashicorp/terraform
✅Assignments:
• Create EC2, VPC via Terraform
• Use variables & modules
🚀 Project:
👉 Build Reusable Terraform Modules
🚀 Scenario:
• Provision infra for 10 environments (dev, QA, prod)

Module 11: Configuration Management with Ansible

Ansible: Red Hat’s agentless automation platform that simplifies
configuration management, application deployment, and orchestration.
Automation: Implement infrastructure automation using YAML playbooks,
roles, and inventories for consistent system configuration and deployment.
Ansible Concepts:
• Ansible architecture and components
• Ansible installation and setup
• Ansible ad-hoc commands for quick tasks
• Ansible playbooks for complex automation workflows
• Ansible roles for reusable automation components
GitHub: https://github.com/ansible/ansible
✅Assignments:
• Write playbooks for server setup
• Configure roles
🚀 Project:
👉 Automated server configuration (Web + DB servers)
🚀 Scenario:
• Patch 100 servers automatically

Module 12: Container Orchestration with Kubernetes

Kubernetes: Google-originated container orchestration platform that
automates deployment, scaling, and management of containerized
applications.
Orchestration: Master cluster architecture, workload management,
service discovery, and auto-scaling for production-ready container
environments.
1. Kubernetes Architecture
• Control Plane C Worker Nodes
• Kube API Server, Kube Scheduler, Kube Controller, Cloud Controller,
etcd
• Container Runtime, Kubelet, Kube-Proxy
• Kubectl C Kubeconfig
2. Kubernetes Cluster Setup
• Cluster Creation on AWS EKS and kops
• Private AWS EKS Cluster Creation using Terraform
3. Kubernetes Objects
• Namespace, Service, Ingress
• Deployment, Pod Management (create, scale, update)
• ConfigMap, DaemonSet, StatefulSet
• NodeSelector, PersistentVolume (PV), PersistentVolumeClaim (PVC)
• Horizontal Pod Autoscaler (HPA)
4. Scaling G Autoscaling: Cluster Autoscaler , Karpenter and KEDA
(Kubernetes Event-driven Autoscaling)
5. Kubernetes Upgrades: Cluster Upgrade and Rolling Upgrade
GitHub: https://github.com/kubernetes/kubernetes
✅Assignments:
• Deploy pods, services, ingress
• Setup HPA
🚀 Project:
👉 Deploy microservices on AWS EKS
🚀 Scenario:
• Fix pod crashloop / memory issues

Module 13: Observability and Monitoring

Prometheus: Open-source monitoring system with powerful time-series
database and flexible query language for metrics collection.
Monitoring: Implement comprehensive application and infrastructure
monitoring with alerting capabilities for proactive system management.
Prometheus:
• Installation of Prometheus on AWS EKS using Helm 3
• Configure ingress endpoint for Prometheus
• Monitoring system for collecting and querying metrics
GitHub: https://github.com/prometheus/prometheus
Grafana: Feature-rich visualization platform that creates interactive
dashboards and alerts from multiple data sources.
Visualization: Build stunning, real-time dashboards that provide
actionable insights into system performance and business metrics.
Grafana:
• Installation of Grafana on AWS EKS using Helm 3
• Configure ingress endpoint for Grafana
• Visualization tool to create dashboards from various data sources
GitHub: https://github.com/grafana/grafana
✅Assignments:
• Setup dashboards
• Configure alerts
🚀 Project:
👉 End-to-End Monitoring Dashboard
🚀 Scenario:
• Detect CPU spike and alert SRE team

🚀 Final Capstone Projects (Industry Level)

🚀 Project 1: End-to-End DevOps Pipeline
• Git → Jenkins → Docker → ECR → Kubernetes → Monitoring
🚀 Project 2: Terraform + Jenkins Automation
• Infra provisioning via pipeline
🚀 Project 3: Microservices Deployment on Kubernetes
• Multi-branch CI/CD pipeline
🚀 Project 4 (ADVANCED – HIGH VALUE)
👉 Production Simulation Project
• High traffic simulation
• DB tuning
• Auto scaling
• Incident handling

🚀 EXTRA 50+ REAL-TIME SCENARIOS

🚀 Examples:
• Jenkins pipeline failure after plugin update
• Kubernetes node failure
• Docker image vulnerability
• AWS billing spike issue
• PostgreSQL slow query during peak hours
• Replica lag in production
• Terraform state corruption

🚀 Deliverables

• ✅Resume-ready 4 Projects
• ✅CI/CD Pipeline Templates
• ✅Terraform Modules
• ✅Kubernetes YAMLs
• ✅Incident Runbook
• ✅Monitoring Dashboards

🚀 Final Outcome

After this training, candidates can apply for:
• DevOps Engineer
• Site Reliability Engineer (SRE)
• Cloud Engineer
• Platform Engineer
• Production Support Engineer

🚀 BONUS (If you want next level)

I can further enhance this into:
• 👉 Day-wise 100-hour trainer plan
• 👉 Lab manual (step-by-step commands)
• 👉 Interview Q&A (200+ questions)
• 👉 Hands-on exam / mock assessment
• 👉👉 Placement-focused resume + LinkedIn kit

Additional Tools (if batch will perform all labs only then)

Packer: HashiCorp’s tool for creating identical machine images across
multiple platforms from a single source configuration.
Image Management: Automate the creation of golden AMIs with preinstalled software and configurations for consistent, secure deployments.
• Automatesthe creation of Golden AMI on AWS
GitHub: https://github.com/hashicorp/packer
ArgoCD: GitOps continuous delivery tool that automatically synchronizes
Kubernetes applications with Git repository configurations.
GitOps: Implement declarative application delivery with automated
synchronization, rollback capabilities, and visual deployment tracking for
Kubernetes environments.
ArgoCD:
• Deploy ArgoCD on AWS EKS cluster
• Configure ingress endpoint for ArgoCD
• GitOps continuous delivery for Kubernetes
GitHub: https://github.com/argoproj/argo-cd

Major Projects

Project 1: Private AWS EKS Cluster using Terraform
Objective: Build a production-ready private EKS cluster with complete
infrastructure automation.
Skills: Advanced Terraform configuration, AWS networking, Kubernetes
cluster setup, and security best practices.

Project 2: Terraform Module Development and AWS Resource Deployment
via Jenkins Pipeline
Objective: Create reusable Terraform modules and automate
infrastructure deployment through Jenkins CI/CD pipelines.
Skills: Modular infrastructure design, Jenkins integration, automated
testing, and Infrastructure as Code best practices.

Project 3: Multi-branch Jenkins Pipeline for Container Microservices
Deployment on Kubernetes
Objective: Implement a complete CI/CD pipeline that automatically
builds, tests, and deploys microservices to Kubernetes based on Git
branch strategies.
Skills: Advanced Jenkins pipelines, containerization, Kubernetes
deployments, and GitOps workflows.

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Linux, Aws & Devops Combo Course Certification With Training In Bangalore

Q: Part 1: RHCSA (Red Hat Certified System Administrator)

Focus: Core Linux Administration Skills Red Hat System Administration I (RH124) Red Hat System Administration II (RH134)

Q: Module 1: Linux Basics and Command Line Tools

Topics Linux architecture File system hierarchy Command-line usage Text processing tools File compression and archiving Input/output redirection Labs Navigate file system Search files Compress and extract archives Assignment Find files larger than 200MB and archive them into a backup file . Job-Oriented Scenario A developer accidentally deleted logs. Recover compressed backup files from archive.

Q: Module 2: User and Group Administration

Topics Creating users Managing groups Password policies Default user settings Privilege delegation using sudo Labs Create users Assign groups Configure sudo access Assignment Create users for HR, Finance, and IT departments . Job Scenario A developer needs temporary administrative access . Configure secure sudo access.

Q: Module 3: File Permissions and Access Control

Topics File permissions Ownership Special permissions (SUID, SGID, Sticky bit) Access Control Lists (ACL) Labs Configure permissions for shared directories Implement ACL rules Assignment Create shared project directory accessible by multiple teams . Job Scenario Allow read access to one user without changing file ownership .

Q: Module 4: Process Management

Topics Process monitoring Process lifecycle Background jobs Resource usage monitoring Commands ps top kill nice renice Labs Identify high CPU processes Manage background jobs Assignment Write command sequence to identify top memory consuming process . Job Scenario Production server is slow. Find process causing CPU overload.

Q: Module 5: Package Management

Topics RPM package system Repository configuration Installing software packages Updating packages Querying packages Labs Install packages Configure local repository Assignment Install web server packages from repository . Job Scenario Server cannot access internet repository. Create local package repository .

Q: Module 6: Storage Management (Important RHCSA Topic)

Topics Disk partitions File systems Mounting storage Persistent mounts Logical Volume Manager (LVM) Disk quotas Labs Create partitions Create logical volumes Extend storage Assignment Create 10GB logical volume and mount permanently . Job Scenario Database server storage is full. Extend logical volume without downtime.

Q: Module 7: Networking Configuration

Topics Configure IP addresses Configure hostname DNS configuration Network troubleshooting Labs Configure static IP Configure hostname Assignment Configure two servers to communicate over network . Job Scenario Users cannot access server due to incorrect network configuration.

Q: Module 8: Firewall and Security

Topics Firewall configuration Allow and block ports Secure shell configuration Labs Configure firewall rules Enable SSH access Assignment Allow web server traffic through firewall . Job Scenario Application is running but users cannot access it due to firewall rules.

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