Combo Program

★★★★★

(2,088 ratings) 50,000+ Student

LINUX | AWS | DEVOPS | PYTHON – COMBO Training in Pune

The Linux | Cloud | DevOps | Python Combo Program is a career-oriented, hands-on training track designed to build job-ready skills for IT roles in modern infrastructure, automation, and cloud computing. It combines the power of open-source OS,programming, cloud deployment, and DevOps methodologies making it ideal for aspiring Cloud Engineers, DevOps Engineers, System Admins, and Automation Specialists. This intensive course covers Linux administration, Python scripting, AWS cloud administration, and key DevOps tools—equipping learners with the real-world knowledge and capabilities to handle automation, monitoring, CI/CD pipelines, & infrastructure management. Duration: 6 Months Total Hours: 250 Hours Batch type : Weekdays/Weekends Mode of Training : Classroom/Online/Corporate Training

Radical Technologies

50,000+ English 213 Modules · 82 Courses

Online / Classroom

LINUX | AWS | DEVOPS | PYTHON – COMBO

Key Tools & Technologies You Will Learn + What You Will Gain + 👥 Ideal For + Certifications You Can Prepare For + Red Hat Linux Training: Basic to Advanced (100 Hours) + Phase 1: Red Hat Linux Basics (RHCSA - Level 1) Duration: 40 Hours + Phase 2: Red Hat Linux Advanced (RHCE - Level 2) Duration: 40 Hours + Phase 3: Automation with Ansible (RHCE + DevOps Ready) Duration: 20 Hours + Real-Time Linux Scenarios for Data Center & Server Admins + A. Server Provisioning & Boot Scenarios + B. Network Configuration & Troubleshooting + C. Storage & File System Tasks + D. Security & Compliance Tasks + E. Process & Service-Level Troubleshooting + F. Performance & Monitoring + G. Backup, Recovery & Automation + H. HA, Cluster & Virtualization Scenarios + I. Miscellaneous Real-Time Tasks + Bonus: 10 Simulation Scenarios for Interviews/Labs + AWS Cloud Administration – Basic to Advanced Training (80–100 Hours) + Module 1: Introduction to Cloud & AWS (4 Hours) + Module 2: Identity & Access Management (IAM) (6 Hours) + Module 3: Amazon EC2 & AMIs (12 Hours) + Module 4: Amazon S3 & Storage Services (8 Hours) + Module 5: Networking (VPC, Subnets, Route 53) (10 Hours) + Module 6: Monitoring, Logs & Audit (8 Hours) + Module 7: Security, Compliance & Backup (6 Hours) + Module 8: RDS & Databases (6 Hours) + Module 9: Automation & Management (10 Hours) + Module 10: High Availability & Scalability (6 Hours) + Module 11: Migration, Cost & Troubleshooting (6 Hours) + Capstone Projects (Choose 1 or more) + Training Deliverables + AWS Cloud Admin Engineer Tasks by Support Level + L1 – AWS Cloud Admin Engineer Tasks (Entry-Level / Associate) + L2 – AWS Cloud Admin Engineer Tasks (Mid-Level / Support Engineer) + L3 – AWS Solution Architect / Sr. Cloud Admin Tasks (Advanced/Architect Level) + Summary Table + DevOps Master Training Syllabus (With Labs & Projects) + 1. Version Control & Source Code Management Git + 2. Continuous Integration/Delivery Jenkins + 3. Containerization & Orchestration + 4. GitOps and Deployment Automation Argo CD + 5. Secrets & Configuration Management HashiCorp Vault + 6. Monitoring & Logging ELK Stack + 7. Artifact Management Nexus Repository Manager + 8. Agile and Ticketing Tools + 9. Infrastructure as Code + 10. DevOps in Cloud Pipelines + 11. ChatOps and Collaboration + Capstone Projects (Choose 1–2) • Enterprise-grade CI/CD pipeli + Course Duration + Devops + 1. Git, GitHub, GitLab, Bitbucket + 2. Jenkins (CI/CD Automation) + 3. Docker + 4. Kubernetes + 5. HashiCorp Vault + 6. ELK Stack (Elasticsearch, Logstash, Kibana) + 7. Argo CD (GitOps) + 8. Jira + 9. Nexus Repository Manager + 10. Helm + 11. Ansible + 12. Terraform + 13. Vault (Secret Management) + 14. Prometheus + 15. Grafana + 16. Azure DevOps / AWS CodePipeline + 17. ChatOps (Slack / Microsoft Teams) + BONUS: CROSS-FUNCTIONAL RESPONSIBILITIES + Python for AWS, Linux & DevOps Engineers – 60 Hours Practical Training + Module 1: Core Python Programming (6 Hours) + Module 2: File, Log, and Config Handling (6 Hours) + Module 3: Linux System Automation with Python (8 Hours) + Module 4: Python for AWS Cloud Automation (Boto3) (10 Hours) + Module 5: DevOps Tools Automation with Python (10 Hours) + Module 6: REST API Integration + JSON/XML Handling (6 Hours) + Module 7: CLI & Tool Development (4 Hours) + Module 8: Projects & Capstone Labs (10 Hours) + Tools & Libraries Used + Deliverables

Courses Included 82 Courses Combined

Batch Type Weekdays / Weekends

Mode of Training Classroom / Online / Corporate

Locations Pune, Bangalore, Kochi

Language English

Certification Globally Recognized

Tools you'll master

AWS Docker Jenkins Git Ansible Python Linux CI/CD Kubernetes Terraform

Next batch: Contact us ·

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100% placement assistance

What you'll learn

Suitable for: Beginners to Intermediate System Admins, DevOps Aspirants, Cloud Engineers

Versions: RHEL 8 & 9

Module 1: Introduction & Installation

Module 2: Filesystem Navigation & File Handling

Module 1: Bash Shell Scripting

Module 2: Network Services Configuration

Module 1: Introduction to Ansible

Module 2: Ansible Playbooks

Categories: Server Provisioning, Networking, Storage, Security, Performance, Disaster

1. Provision 100+ Bare Metal Servers with Kickstart

Programme Overview

213 modules across Key Tools & Technologies You Will Learn, What You Will Gain, 👥 Ideal For, Certifications You Can Prepare For, Red Hat Linux Training: Basic to Advanced (100 Hours), Phase 1: Red Hat Linux Basics (RHCSA - Level 1) Duration: 40 Hours, Phase 2: Red Hat Linux Advanced (RHCE - Level 2) Duration: 40 Hours, Phase 3: Automation with Ansible (RHCE + DevOps Ready) Duration: 20 Hours, Real-Time Linux Scenarios for Data Center & Server Admins, A. Server Provisioning & Boot Scenarios, B. Network Configuration & Troubleshooting, C. Storage & File System Tasks, D. Security & Compliance Tasks, E. Process & Service-Level Troubleshooting, F. Performance & Monitoring, G. Backup, Recovery & Automation, H. HA, Cluster & Virtualization Scenarios, I. Miscellaneous Real-Time Tasks, Bonus: 10 Simulation Scenarios for Interviews/Labs, AWS Cloud Administration – Basic to Advanced Training (80–100 Hours), Module 1: Introduction to Cloud & AWS (4 Hours), Module 2: Identity & Access Management (IAM) (6 Hours), Module 3: Amazon EC2 & AMIs (12 Hours), Module 4: Amazon S3 & Storage Services (8 Hours), Module 5: Networking (VPC, Subnets, Route 53) (10 Hours), Module 6: Monitoring, Logs & Audit (8 Hours), Module 7: Security, Compliance & Backup (6 Hours), Module 8: RDS & Databases (6 Hours), Module 9: Automation & Management (10 Hours), Module 10: High Availability & Scalability (6 Hours), Module 11: Migration, Cost & Troubleshooting (6 Hours), Capstone Projects (Choose 1 or more), Training Deliverables, AWS Cloud Admin Engineer Tasks by Support Level, L1 – AWS Cloud Admin Engineer Tasks (Entry-Level / Associate), L2 – AWS Cloud Admin Engineer Tasks (Mid-Level / Support Engineer), L3 – AWS Solution Architect / Sr. Cloud Admin Tasks (Advanced/Architect Level), Summary Table, DevOps Master Training Syllabus (With Labs & Projects), 1. Version Control & Source Code Management Git, 2. Continuous Integration/Delivery Jenkins, 3. Containerization & Orchestration, 4. GitOps and Deployment Automation Argo CD, 5. Secrets & Configuration Management HashiCorp Vault, 6. Monitoring & Logging ELK Stack, 7. Artifact Management Nexus Repository Manager, 8. Agile and Ticketing Tools, 9. Infrastructure as Code, 10. DevOps in Cloud Pipelines, 11. ChatOps and Collaboration, Capstone Projects (Choose 1–2) • Enterprise-grade CI/CD pipeli, Course Duration, Devops, 1. Git, GitHub, GitLab, Bitbucket, 2. Jenkins (CI/CD Automation), 3. Docker, 4. Kubernetes, 5. HashiCorp Vault, 6. ELK Stack (Elasticsearch, Logstash, Kibana), 7. Argo CD (GitOps), 8. Jira, 9. Nexus Repository Manager, 10. Helm, 11. Ansible, 12. Terraform, 13. Vault (Secret Management), 14. Prometheus, 15. Grafana, 16. Azure DevOps / AWS CodePipeline, 17. ChatOps (Slack / Microsoft Teams), BONUS: CROSS-FUNCTIONAL RESPONSIBILITIES, Python for AWS, Linux & DevOps Engineers – 60 Hours Practical Training, Module 1: Core Python Programming (6 Hours), Module 2: File, Log, and Config Handling (6 Hours), Module 3: Linux System Automation with Python (8 Hours), Module 4: Python for AWS Cloud Automation (Boto3) (10 Hours), Module 5: DevOps Tools Automation with Python (10 Hours), Module 6: REST API Integration + JSON/XML Handling (6 Hours), Module 7: CLI & Tool Development (4 Hours), Module 8: Projects & Capstone Labs (10 Hours), Tools & Libraries Used, Deliverables — a single, progressive learning arc from foundational concepts to real-world projects.

Courses Combined

213

Total Modules

928

Total Topics

4.8★

Average Rating

50K+

Students Trained

Key Tools & Technologies You Will Learn

Master the core concepts and hands-on skills of Key Tools & Technologies You Will Learn — from fundamentals to real-world application.

Python CI/CD Linux

What You Will Gain

Master the core concepts and hands-on skills of What You Will Gain — from fundamentals to real-world application.

Python Linux AWS

👥 Ideal For

Master the core concepts and hands-on skills of 👥 Ideal For — from fundamentals to real-world application.

👥 Ideal For

Certifications You Can Prepare For

Master the core concepts and hands-on skills of Certifications You Can Prepare For — from fundamentals to real-world application.

Terraform Python AWS

Red Hat Linux Training: Basic to Advanced (100 Hours)

Master the core concepts and hands-on skills of Red Hat Linux Training: Basic to Advanced (100 Hours) — from fundamentals to real-world application.

Suitable for: Beginners to Intermediate System Admins, DevOps Aspirants, Cloud Engineers Versions: RHEL 8 & 9 Delivery Mode: Classroom / Online / Self-paced + Labs

Phase 1: Red Hat Linux Basics (RHCSA - Level 1) Duration: 40 Hours

Master the core concepts and hands-on skills of Phase 1: Red Hat Linux Basics (RHCSA - Level 1) Duration: 40 Hours — from fundamentals to real-world application.

Linux Networking

Who is this programme for?

Whether you're starting from scratch, know some SQL, or are already writing code — this programme takes you from database fundamentals through Python programming to real-world data analysis.

Students & Freshers

Build a strong foundation in LINUX | AWS | DEVOPS | PYTHON – COMBO and gain practical, job-ready experience from day one.

Working Professionals

Upskill and combine complementary skills from multiple courses in one structured programme.

Career Switchers

Move into a new technical role with a single, structured path covering everything you need.

IT Professionals

Deepen your expertise and broaden your skill set with hands-on, practical training.

Course Curriculum

82 courses • 213 modules • 928 topics

Key Tools & Technologies You Will Learn

Courses Combined

100% Practical · Unlimited Doubt Sessions

Linux (Red Hat, Ubuntu, CentOS)

💻 Python for DevOps and Cloud Automation

☁️ AWS Cloud (Administration & Automation)

🛠️ DevOps Tools (End-to-End CI/CD & Automation)

What You Will Gain

Courses Combined

100% Practical · Unlimited Doubt Sessions

• 🧑‍💻 Practical Linux System Admin Skills

• 🐍 Automation with Python for Cloud & DevOps

• ☁️ Real-Time Experience in AWS Cloud Services

• 🔁 End-to-End DevOps Lifecycle Knowledge

• 💼 Resume-Ready Projects & Job-Oriented Training

• 📜 Interview Preparation & Certification Support

• 🧭 Soft Skills

Career Guidance & Mock Interviews

• 🧪 10+ Live Projects You can work on

👥 Ideal For

Courses Combined

100% Practical · Unlimited Doubt Sessions

• System Administrators

• DevOps / Cloud Aspirants

• Support Engineers transitioning to Automation

• Final Year Students / Freshers with IT interest

• Professionals with Career Gap

• Anyone seeking job-ready practical exposure

Certifications You Can Prepare For

Courses Combined

100% Practical · Unlimited Doubt Sessions

• RHCSA / RHCE

• AWS Solution Architect

• DevOps Associate and Professional Certification

• Python Automation Certificate

• Terraform Associate (Optional Upgrade)

Red Hat Linux Training: Basic to Advanced (100 Hours)

Courses Combined

100% Practical · Unlimited Doubt Sessions

Phase 1: Red Hat Linux Basics (RHCSA - Level 1) Duration: 40 Hours

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Linux History & Architecture

• CLI vs GUI

• RHEL Installation (manual & automated)

• Virtualization tools (VirtualBox, KVM)

• File system hierarchy (FHS)

• Important directories: /etc

/var

/home

/proc

/tmp

• File manipulation: cp

touch

cat

vim

nano

• Wildcards

find

locate

grep

cut

sort

• Creating

modifying

deleting users

• /etc/passwd

/etc/shadow

/etc/group

• User password policies

• sudo

sudoers file with visudo

• File permissions

ACLs

SUID/SGID/Sticky bit

• RPM and YUM/DNF

• Repositories: local and remote

• Installing

removing

updating packages

• Managing package groups

• Partitioning: fdisk

parted

• Mounting filesystems: mount

umount

• LVM Concepts: PV

• Filesystem types: ext4

XFS

• File system repair: fsck

• Automounting using /etc/fstab

• Managing processes: ps

top

htop

kill

nice

• Background and foreground jobs

• cron

crontab

systemd timers

• ip

nmcli

hostnamectl

• Setting static IPs

• DNS client configuration

• Testing: ping

netstat

traceroute

curl

• System logs: journalctl

/var/log/*

• systemd & targets

• GRUB2 bootloader

• Rescue mode and emergency mode

• SELinux Modes

• Tools: getenforce

setenforce

semanage

restorecon

• Firewalld zones

services

ports

• firewall-cmd usage

• Install and configure a Linux server

• Setup users

partitions

and firewall

• Automate backups and periodic jobs

• RHCSA exam simulations

Phase 2: Red Hat Linux Advanced (RHCE - Level 2) Duration: 40 Hours

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Variables

operators

• Conditional statements: if

case

• Loops: for

while

until

• Functions and command substitution

• Automating system tasks

• SSH Server configuration (key-based auth, chroot)

• Apache Web Server (httpd) setup

• FTP Server (vsftpd)

• NFS & AutoFS

• Samba (Windows file sharing)

• DNS Server (BIND)

• DHCP server (ISC)

• Introduction to LDAP/IPA integration

• Configure SSSD and Kerberos client

• Postfix MTA configuration basics

• Mail logs and troubleshooting

• Configure NTP client and server

• Chrony configuration and status

• Resource monitoring: top

iotop

vmstat

iostat

• Disk usage: df

• Troubleshooting tools: strace

lsof

tcpdump

• TCP wrappers

• Security auditing using aide

• Configure auditing via auditd

Phase 3: Automation with Ansible (RHCE + DevOps Ready) Duration: 20 Hours

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Ansible architecture and installation

• Inventory files

modules

ad-hoc commands

• YAML syntax

playbook structure

• Variables

facts

conditionals

• Loops and handlers

• Role directory structure

• Templates with Jinja2

• Automating user

service

and firewall tasks

• Automate Apache deployment

• Configure NTP

SSH

and services with Ansible

• Advanced tasks (handlers, notify, tags)

• Install Apache + Firewall + SELinux

• Automate user creation and backup with Bash scripts

• Multi-user file sharing setup with permissions

• Create

mount

and manage LVM volumes via playbooks

• RHCSA (EX200)

• RHCE (EX294)

• Optional: Entry-level Linux+ or LFCS

Real-Time Linux Scenarios for Data Center & Server Admins

Courses Combined

100% Practical · Unlimited Doubt Sessions

Recovery

Monitoring

A. Server Provisioning & Boot Scenarios

Courses Combined

100% Practical · Unlimited Doubt Sessions

o Automate RHEL installations using PXE boot and Kickstart.

o Recover from high resource usage due to GNOME GUI.

o Boot using ISO

mount partitions

and fix fstab manually.

o Use LVM tools to resize root volume without downtime.

o Push changes using Bash/Ansible and verify connectivity.

B. Network Configuration & Troubleshooting

Courses Combined

100% Practical · Unlimited Doubt Sessions

o Implement active-backup mode bonding in a 2-port server.

o Configure VLAN interfaces and routing rules per segment.

o Diagnose using dmesg

update driver

blacklist old module.

o Assign routes per interface using /etc/sysconfig/network-scripts/.

C. Storage & File System Tasks

Courses Combined

100% Practical · Unlimited Doubt Sessions

o Restrict access with IP ranges

root_squash

SELinux.

o Discover LUNs

format with XFS and integrate into /data.

o Perform safe recovery on ext3/ext4 partitions.

o Extend LVM

use xfs_growfs without rebooting.

D. Security & Compliance Tasks

Courses Combined

100% Practical · Unlimited Doubt Sessions

o Disable root login

change port

enforce key-based auth.

o Aggregate logs to central box for audit compliance.

o Enable unattended upgrades and reporting.

o Use audit2allow and semanage fcontext for custom paths.

E. Process & Service-Level Troubleshooting

Courses Combined

100% Practical · Unlimited Doubt Sessions

o Analyze logs

systemctl status

verify port conflict.

o Identify using ps

top

and kill parent PIDs.

o Use free

vmstat

valgrind

and sar to analyze.

o Kill stale NFS processes and remount manually.

F. Performance & Monitoring

Courses Combined

100% Practical · Unlimited Doubt Sessions

o Use tuned-adm for virtual/throughput-latency profiles.

o Create reports and alerts for high disk latency.

o Secure SNMPv3 setup with allowed IP ranges.

o Use cron + mailx + df or shell scripts.

G. Backup, Recovery & Automation

Courses Combined

100% Practical · Unlimited Doubt Sessions

o Log rotation

size limits

and retry on failure logic.

o Use cron jobs

gpg

and remote SFTP storage.

o Use Clonezilla / Rescue ISO with RAID rebuilding.

o Alert on failures using MAILTO.

H. HA, Cluster & Virtualization Scenarios

Courses Combined

100% Practical · Unlimited Doubt Sessions

o Failover

health checks

and weighted load balancing.

o Use virt-install

virsh

and image templates.

o Fence failed nodes and recover safely.

o Use virt-clone

rsync

or virsh migrate.

I. Miscellaneous Real-Time Tasks

Courses Combined

100% Practical · Unlimited Doubt Sessions

o du -sh * | sort -rh | head -10

o Generate Lynis or OpenSCAP reports.

o Use sshpass

for loop or Ansible playbook.

o Use virt-clone

rsync

or virsh migrate.

Bonus: 10 Simulation Scenarios for Interviews/Labs

Courses Combined

100% Practical · Unlimited Doubt Sessions

Clone & configure 10 servers with specific user

network

and firewall rules

Scripting + CLI Config

One NIC drops intermittently on heavy load

NIC driver tuning

interrupt affinity

Restore server boot with broken GRUB

Rescue ISO

chroot

grub2-install

Resize and remount /opt with zero downtime

LVM & live filesystem expansion

Configure server to auto reboot on kernel panic

sysctl + GRUB parameter

Auto restart Apache if it crashes

systemd unit + watchdog

Identify failing NFS mounts affecting app startup

Logs

mount settings

fstab

Encrypt /data with LUKS and auto-unlock via keyfile

Secure keyfile integration

Block all IPs except internal subnets using firewalld

firewalld + zones

Perform kernel upgrade with fallback option

Keep old kernels

grub set-default

AWS Cloud Administration – Basic to Advanced Training (80–100 Hours)

Courses Combined

100% Practical · Unlimited Doubt Sessions

Module 1: Introduction to Cloud & AWS (4 Hours)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Cloud computing concepts: IaaS

PaaS

SaaS

• AWS global infrastructure: Regions

AZs

Edge locations

• Shared responsibility model

• Pricing models: On-demand

Reserved

Spot

Module 2: Identity & Access Management (IAM) (6 Hours)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• IAM users

groups

and roles

• IAM policies (JSON policy structure)

• MFA setup and best practices

• IAM roles for EC2

Lambda

• Resource access delegation

• Create IAM policy to restrict S3 and EC2 access.

• Assign role to EC2 instance to access S3 bucket.

Module 3: Amazon EC2 & AMIs (12 Hours)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Launching EC2 instances (Linux & Windows)

• Key pair generation

SSH & RDP

• Security groups and NACLs

• AMI creation and backup

• EC2 Instance Connect

SSM usage

• Instance types (T, M, C series)

• Launch 2-tier app (web & DB) on EC2.

• Backup & restore an EC2 with AMI.

Module 4: Amazon S3 & Storage Services (8 Hours)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• S3 bucket creation and management

• Object lifecycle policies and versioning

• Bucket policies vs IAM policies

• Storage classes (Standard, IA, Glacier)

• Multipart upload

S3 Transfer Acceleration

• EBS vs EFS vs S3 comparison

• Host a static website on S3 with custom domain.

• Configure lifecycle policy to move objects to Glacier.

Module 5: Networking (VPC, Subnets, Route 53) (10 Hours)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• VPC creation and CIDR planning

• Public and private subnets

• Internet Gateway & NAT Gateway

• Elastic IPs and route tables

• Security groups vs NACLs

• DNS with Route 53: A

CNAME

Alias records

• Launch a VPC with 2-tier architecture.

• Configure Route 53 with custom domain and failover policy

Module 6: Monitoring, Logs & Audit (8 Hours)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• AWS CloudWatch (metrics, logs, dashboards, alarms)

• CloudTrail for auditing API activity

• EC2 log monitoring

• Custom metrics and log groups

• Create CPU alarm for EC2.

• Monitor login activities via CloudTrail.

Module 7: Security, Compliance & Backup (6 Hours)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• AWS KMS and encryption at rest/in-transit

• AWS Backup service

• Security Hub

GuardDuty basics

• Inspector

WAF

Shield (overview)

• Enable GuardDuty and investigate alerts.

• Schedule backup jobs using AWS Backup.

Module 8: RDS & Databases (6 Hours)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• RDS instance launch (MySQL, PostgreSQL)

• Subnet group and parameter group

• Automated backups and snapshots

• Multi-AZ vs Read Replicas

• Amazon Aurora basics

• Deploy and connect to RDS from EC2.

• Restore RDS from snapshot.

Module 9: Automation & Management (10 Hours)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• AWS CLI and SDK intro

• EC2 automation with User Data scripts

• AWS Systems Manager (SSM): Patch Manager

Run Command

• S3 and EC2 automation with Lambda

• CloudFormation intro (infrastructure as code)

• Write CLI script to create EC2 and attach volume.

• Use SSM to patch multiple EC2s.

Module 10: High Availability & Scalability (6 Hours)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Elastic Load Balancer (ALB, NLB)

• Auto Scaling Groups

• Launch templates and health checks

• Multi-AZ setup for EC2 & RDS

• Create HA web tier with ALB + ASG.

• Configure scaling policy based on CPU.

Module 11: Migration, Cost & Troubleshooting (6 Hours)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• AWS Migration Hub and Application Discovery

• AWS Cost Explorer and budgets

• Trusted Advisor usage

• Billing alarms and optimization strategies

• Troubleshooting EC2

VPC

IAM issues

Capstone Projects (Choose 1 or more)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• EC2 (web)

RDS (DB)

S3 (static files)

ALB

ASG

Route 53

• Use AWS Backup

AMIs

and S3 Glacier for long-term backup

• Setup CloudWatch dashboards and alerts for web and DB layers

Training Deliverables

Courses Combined

100% Practical · Unlimited Doubt Sessions

• 100+ Hands-on Labs & Assignments

• 30+ Real-Time Scenarios

• 20+ Troubleshooting Exercises

• Resume Projects + Certification Guidance

• AWS Free Tier Setup Support

AWS Cloud Admin Engineer Tasks by Support Level

Courses Combined

100% Practical · Unlimited Doubt Sessions

Cloud Support Associate

0–1 years

Basic monitoring

support ticket handling

Cloud Support Engineer

2–4 years

Configuration

automation

issue resolution

Cloud Architect / Sr. Admin

5+ years

Design

performance tuning

cost optimization

L1 – AWS Cloud Admin Engineer Tasks (Entry-Level / Associate)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Monitor AWS services (EC2, RDS, ALB, etc.) via CloudWatch.

• Basic health checks for servers and applications.

• Respond to support tickets and alerts (CPU, disk, memory).

• Restart instances or services when needed.

• Add/remove IAM users with pre-approved policies.

• Assign EC2 security groups as per standard templates.

• Attach/detach EBS volumes.

• Snapshot EC2 instances on schedule.

• Follow SOPs to execute AWS CLI commands or AWS Console tasks.

• Maintain ticket documentation and logs.

• Escalate issues to L2/L3 based on SLA.

L2 – AWS Cloud Admin Engineer Tasks (Mid-Level / Support Engineer)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Design and implement VPC with public/private subnets.

• Configure NAT Gateways

Route Tables

IGWs.

• Automate EC2 provisioning with User Data and Launch Templates.

• Design and enforce IAM policies for teams.

• Implement and audit MFA

IAM Roles for services (e.g., Lambda, EC2).

• Enforce S3 bucket policies

block public access

configure encryption.

• Troubleshoot VPC connectivity issues

security group/NACL conflicts.

• Configure VPN/Direct Connect interfaces.

• Resolve DNS/Routing issues with Route 53 and EC2.

• Implement backup strategies with AWS Backup.

• Automate snapshot rotation for EC2/EBS.

• Restore instances or volumes from snapshots.

• Create CloudWatch Alarms and dashboards.

• Setup custom log monitoring with CloudWatch Logs Insights.

• Review CloudTrail logs for unusual activities.

• Write AWS CLI/Bash/Python scripts for tasks (start/stop EC2

backup

automation).

• Use AWS Systems Manager (SSM) for patching and Run Commands.

L3 – AWS Solution Architect / Sr. Cloud Admin Tasks (Advanced/Architect Level)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Design scalable

HA cloud architectures with AutoScaling

Multi-AZ deployments.

• Create DR strategies using cross-region replication

Route 53 failover.

• Architect 3-tier or microservices-based cloud-native applications.

• Design & deploy AWS CloudFormation

Terraform templates.

• Create reusable modules for EC2

VPC

RDS

ALB

etc.

• Work with DevOps teams to integrate CI/CD pipelines (CodePipeline, Jenkins).

• Manage container orchestration (ECS, EKS).

• Implement GitOps and ChatOps practices.

• Enforce organization-wide guardrails via AWS Organizations and SCPs.

• Integrate AWS Config

Security Hub

and GuardDuty for continuous compliance.

• Manage IAM federation with AD/Azure AD or Okta (SSO).

• Use AWS Cost Explorer and Trusted Advisor for right-sizing.

• Set budgets and alerts.

• Optimize Reserved Instances and Spot usage strategies.

• Lead P1 incident resolution and RCA documentation.

• Work closely with AWS Support and escalate SRs.

Summary Table

Courses Combined

100% Practical · Unlimited Doubt Sessions

Basic checks

alerts

Setup alarms

log groups

Custom dashboards

anomaly detection

Launch

stop

reboot

Configure ASG

ELB

backups

Architect HA

Multi-AZ/region apps

Create users

roles

Write/manage IAM policies

IAM Federation

SCP

Security groups

VPC/Subnets

VPN config

Multi-region

Direct Connect

Upload/download

Lifecycle policies

encryption

Storage tiering

cross-region replication

Manual execution

AWS CLI scripting

SSM

Terraform

CloudFormation

Snapshots

restore

Backup policies

automation

DR design

cross-region failover

Basic patching

GuardDuty

Config rules

Org-wide guardrails

Security Hub

Budget alerts

Cost optimization

reserved planning

DevOps Master Training Syllabus (With Labs & Projects)

Courses Combined

100% Practical · Unlimited Doubt Sessions

Git

GitHub / GitLab / Bitbucket

Jenkins

Docker

Kubernetes

HashiCorp Vault

ELK Stack

Argo CD

Jira

Nexus

Helm

Ansible

Terraform

Vault

Prometheus

Grafana

Azure DevOps / AWS Code Pipeline

ChatOps

DevOps Master Training Syllabus designed for System Administrators

DevOps Engineers

Cloud Engineers

and Platform Engineers

covering 20+ DevOps tools with hands-on labs and real-time projects.

1. Version Control & Source Code Management Git

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Basics: init

clone

commit

push/pull

branches

merge

• Conflict resolution

cherry-pick

rebase

• Git hooks and workflows (Git Flow, Trunk-based)

• Repo management

Webhooks

• Issues

Projects

Actions/Pipelines

• CI/CD integration

2. Continuous Integration/Delivery Jenkins

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Installation

master-agent architecture

• Freestyle & pipeline jobs (Scripted/Declarative)

• Jenkinsfile

parameterized builds

• Integration with Git

Docker

Nexus

Ansible

3. Containerization & Orchestration

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Dockerfile

images

containers

volumes

networking

• Compose and multi-container applications

• Pods

Deployments

Services

ConfigMaps

Secrets

• Helm

RBAC

Ingress

Namespaces

Volumes

• Kubernetes Dashboard and K9s

4. GitOps and Deployment Automation Argo CD

Courses Combined

100% Practical · Unlimited Doubt Sessions

• GitOps architecture

application deployment

• Sync

rollback

hooks

SSO/RBAC

• Install charts

chart structure

upgrades

values

5. Secrets & Configuration Management HashiCorp Vault

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Secrets engines

auth methods

policies

audit logs

• Inventory

playbooks

roles

vault

modules

• Cloud provisioning

app config

Docker/K8s automation

6. Monitoring & Logging ELK Stack

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Elasticsearch

Logstash

Kibana basics

• Centralized log analysis from K8s

Jenkins

Docker

• Node exporter

K8s metrics

custom dashboards

alerts

7. Artifact Management Nexus Repository Manager

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Hosted

proxy

group repositories for Maven

Docker

Helm

• Role-based access

8. Agile and Ticketing Tools

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Projects

Epics

Sprints

Boards

• Jira-GitHub/Jenkins integrations

• Reports and team velocity

9. Infrastructure as Code

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Providers

resources

variables

modules

workspaces

• AWS

Azure

K8s provisioning

• Terraform Cloud

10. DevOps in Cloud Pipelines

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Repos

Pipelines

Artifacts

Releases

Boards

AWS CodePipeline

• CodeCommit

CodeBuild

CodeDeploy orchestration

• Manual approvals

rollback

11. ChatOps and Collaboration

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Integrate Jenkins

GitHub

Argo CD

and Prometheus alerts

• Build your own chatbot with Webhooks/API

Capstone Projects (Choose 1–2) • Enterprise-grade CI/CD pipeli

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Enterprise-grade CI/CD pipeline using Jenkins

Docker

K8s

Argo CD

• GitOps deployment with Vault-secured secrets

• Real-time monitoring/logging setup with ELK + Prometheus + Grafana

• Cloud-native deployment using Terraform + AWS CodePipeline

Course Duration

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Lab Exercises: 30+

• Real-World Projects: 3–5

Devops

Courses Combined

100% Practical · Unlimited Doubt Sessions

DevOps Job Responsibilities aligned with major DevOps tools

covering daily tasks

configurations

integrations

and automation workflows. These are categorized by tool and are ideal for resumes

job descriptions

and real-time practice.

1. Git, GitHub, GitLab, Bitbucket

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Maintain

version

and manage infrastructure and application code

repositories.

• Create and manage branching strategies (Git Flow, trunk-based).

• Implement PR (Pull Request) workflows with code reviews and approvals.

• Integrate repositories with CI/CD tools (Jenkins, GitHub Actions, etc.).

• Set up and manage Git webhooks and GitOps triggers.

• Enforce code quality and commit conventions.

2. Jenkins (CI/CD Automation)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Configure Jenkins masters

nodes

and pipeline libraries.

• Create freestyle and declarative pipeline jobs for build

test

and deploy

stages.

• Integrate Jenkins with GitHub

Bitbucket

Nexus

SonarQube

and Docker.

• Secure Jenkins with role-based access and credentials.

• Automate artifact packaging and deployment with parameters.

• Schedule pipelines with triggers (SCM, cron, webhook).

• Store and manage credentials using Jenkins Credentials plugin or Vault.

3. Docker

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Create Dockerfiles to containerize applications and services.

• Build

tag

push

and pull Docker images from Docker Hub or private registries.

• Optimize multi-stage Docker builds for performance and size.

• Manage container volumes

networks

and health checks.

• Use Docker Compose to run multi-container applications.

• Scan images for vulnerabilities and harden containers.

4. Kubernetes

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Create and manage Kubernetes resources (Pods

Deployments

Services

etc.).

• Configure Ingress

ConfigMaps

Secrets

and RBAC policies.

• Implement readiness/liveness probes and autoscaling.

• Monitor workloads and troubleshoot with kubectl

k9s

and logs.

• Automate cluster deployments via Helm or Argo CD.

• Manage namespaces

node affinity

and resource quotas.

5. HashiCorp Vault

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Store and retrieve dynamic secrets and credentials securely.

• Create Vault policies

tokens

and namespaces.

• Enable secret engines (KV, AWS, database) and dynamic secrets.

• Integrate Vault with Jenkins

Ansible

and Kubernetes.

• Automate secret rotation and access audit.

6. ELK Stack (Elasticsearch, Logstash, Kibana)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Configure Logstash pipelines to parse application and infrastructure logs.

• Deploy Elasticsearch clusters and fine-tune indexing and retention.

• Build Kibana dashboards for real-time log visualization.

• Integrate logs from Docker/Kubernetes using Beats or Fluentd.

• Set alerts and filters for critical logs and anomalies.

7. Argo CD (GitOps)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Deploy applications declaratively from Git repositories to Kubernetes.

• Manage Argo CD apps via CLI/UI/API.

• Use sync policies and hooks to control release timing.

• Integrate Helm or Kustomize into Argo pipelines.

• Monitor application status and auto-heal via Git state reconciliation.

8. Jira

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Track development and infrastructure tasks using Agile boards.

• Link CI/CD activities and commits to Jira issues.

• Use Jira automation rules to trigger workflows or alerts.

• Create change requests and document deployment runbooks.

• Generate release notes and audit reports.

9. Nexus Repository Manager

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Store and manage build artifacts (JARs, WARs, Docker images).

• Configure Maven/Gradle repositories and proxy upstreams.

• Implement cleanup policies for old builds and snapshots.

• Manage access controls and credentials.

• Integrate Nexus with Jenkins or GitLab CI/CD.

10. Helm

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Create Helm charts to package Kubernetes applications.

• Use templating and values files to manage environment-specific configurations.

• Publish and pull charts from Helm repositories.

• Integrate Helm with GitOps workflows (Argo CD or Flux).

• Perform dry-runs and rollback deployments.

11. Ansible

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Automate server provisioning and software installations.

• Write reusable playbooks and roles for different environments.

• Manage inventory (static/dynamic) and host variables.

• Integrate Ansible with Jenkins

Git

and Vault.

• Use Ansible Tower/AWX for RBAC and job scheduling.

12. Terraform

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Define cloud infrastructure (AWS, Azure, GCP) using HCL.

• Use modules and workspaces for reusable

multi-environment IaC.

• Manage Terraform state remotely (S3, Azure Blob, Terraform Cloud).

• Automate Terraform pipelines with Jenkins/Azure DevOps.

• Integrate with Vault for secure secrets injection.

13. Vault (Secret Management)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• (Also covered under HashiCorp Vault above)

14. Prometheus

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Collect metrics using exporters (Node Exporter, kube-state-metrics, etc.).

• Configure PromQL alerts and thresholds.

• Monitor app performance

container metrics

and resource usage.

• Integrate with Grafana for visualization and alerting.

15. Grafana

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Create dashboards from Prometheus

InfluxDB

Loki

etc.

• Set up templated dashboards for different environments.

• Configure alert channels (email, Slack, Teams).

• Use provisioning as code for dashboard and datasource automation.

16. Azure DevOps / AWS CodePipeline

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Manage build and release pipelines using YAML and Classic Editor.

• Use Azure Repos and Artifacts.

• Implement gated check-ins and approvals.

• Deploy apps to Azure AKS

Web Apps

or VMs.

• Create CI/CD pipelines for Lambda

ECS

and EC2-based apps.

• Use CodeBuild

CodeDeploy for build and release automation.

• Manage IAM roles and permissions for DevOps tools.

• Integrate pipelines with GitHub or CodeCommit.

17. ChatOps (Slack / Microsoft Teams)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Integrate CI/CD pipeline notifications into Slack/Teams.

• Use bots to trigger deployments or query status.

• Alert incidents and metrics to ChatOps channels.

• Implement approval workflows using chat commands.

• Trigger incident response playbooks from chat.

BONUS: CROSS-FUNCTIONAL RESPONSIBILITIES

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Build and maintain CI/CD templates for repeatable use.

• Develop and maintain internal DevOps tools or dashboards.

• Participate in incident response and root cause analysis (RCA).

• Work with InfoSec on vulnerability assessments.

• Perform knowledge transfers and DevOps enablement training

Python for AWS, Linux & DevOps Engineers – 60 Hours Practical Training

Courses Combined

100% Practical · Unlimited Doubt Sessions

Python Training Syllabus specifically tailored for AWS

Linux

and DevOps

Engineers. This course is hands-on

project-driven

and aligns with real-world

automation

cloud infrastructure

and DevOps pipelines.

To equip Linux system admins

cloud engineers

and DevOps professionals with Python scripting skills to automate infrastructure

cloud services (AWS)

DevOps workflows (Jenkins, Docker, Kubernetes)

and system monitoring.

Module 1: Core Python Programming (6 Hours)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Python installation (Linux/Windows/macOS)

• Variables

Data Types

Operators

• Control flow (if, else, loops)

• Functions and Lambda

• Modules and packages

• Exception handling

Module 2: File, Log, and Config Handling (6 Hours)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• File I/O operations

• Working with .log

.ini

.conf

.yaml

.json files

• Log rotation script

• Config validation script

• Parse and extract errors from /var/log/messages

• Modify JSON-based AWS policy templates

Module 3: Linux System Automation with Python (8 Hours)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Automating user creation

groups

disk monitoring

• Process monitoring & systemd integration

• os

shutil

subprocess

platform modules

• Automate crontab entries

• Write a disk threshold alert script

• Bulk user creation using CSV and Python

Module 4: Python for AWS Cloud Automation (Boto3) (10 Hours)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Boto3 setup & authentication

• EC2: Launch

start/stop

tag

delete

• S3: Upload

download

lifecycle

public access block

• IAM: User

role

policy management

• CloudWatch: Logs

metrics

alarms

• Lambda and SNS integration (intro level)

• Write a script to create EC2 instances with tags

• Backup files to S3 using Python + Boto3

• Auto-delete S3 objects older than 30 days

Module 5: DevOps Tools Automation with Python (10 Hours)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Git operations using GitPython

• Jenkins API integration (trigger builds, get status)

• Docker automation via Docker SDK for Python

• Kubernetes automation using kubernetes client

• Parsing and updating Ansible/K8s YAML files

• Python script to build Docker image & push to Docker Hub

• Deploy Kubernetes pods using Python script

• Trigger Jenkins job and fetch console logs

Module 6: REST API Integration + JSON/XML Handling (6 Hours)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Using requests to call external/internal APIs

• Auth (token, basic)

• GET/POST/PUT/DELETE

• Work with JSON responses and headers

• Get AWS billing data from Cost Explorer API

• Consume a public API (weather, IP lookup)

Module 7: CLI & Tool Development (4 Hours)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Command-line arguments using argparse and click

• Logging and error handling

• Environment detection

• Custom utilities and small Python tools

• Create a CLI tool to manage EC2 + S3 from terminal

• Write a CLI tool to deploy apps to Docker

Module 8: Projects & Capstone Labs (10 Hours)

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Launch EC2

assign tags

attach volume

add to ELB

• Inventory report (disk, memory, packages, users)

• Trigger Jenkins job

build Docker image

deploy to K8s

• Automatically clean logs older than 30 days from S3

Tools & Libraries Used

Courses Combined

100% Practical · Unlimited Doubt Sessions

• Boto3 – AWS automation

• Paramiko – SSH automation

• Requests – API calls

• GitPython – Git integration

• Docker SDK – Docker control

• Kubernetes Python Client – K8s API

• pyYAML/json – Configuration file parsing

• Click/Argparse – Command-line tool creation

Deliverables

Courses Combined

100% Practical · Unlimited Doubt Sessions

• 60+ hours of training

• 15+ real-time automation scripts

• 4 major projects with documentation

• Resume & interview guidance

• GitHub-ready portfolio

Tools & Technologies

Every tool and library listed here is installed, configured and used in a hands-on lab session.

Key Tools & Technologies You Will Learn

Python

Covered in Key Tools & Technologies You Will Learn

CI/CD

Covered in Key Tools & Technologies You Will Learn

Linux

Covered in Key Tools & Technologies You Will Learn

AWS

Covered in Key Tools & Technologies You Will Learn

What You Will Gain

Python

Covered in What You Will Gain

Linux

Covered in What You Will Gain

AWS

Covered in What You Will Gain

👥 Ideal For

Covered in 👥 Ideal For

Certifications You Can Prepare For

Terraform

Covered in Certifications You Can Prepare For

Python

Covered in Certifications You Can Prepare For

AWS

Covered in Certifications You Can Prepare For

Red Hat Linux Training: Basic to Advanced (100 Hours)

Covered in Red Hat Linux Training: Basic to Advanced (100 Hours)

Phase 1: Red Hat Linux Basics (RHCSA - Level 1) Duration: 40 Hours

Linux

Covered in Phase 1: Red Hat Linux Basics (RHCSA - Level 1) Duration: 40 Hours

Networking

Covered in Phase 1: Red Hat Linux Basics (RHCSA - Level 1) Duration: 40 Hours

Phase 2: Red Hat Linux Advanced (RHCE - Level 2) Duration: 40 Hours

Bash

Covered in Phase 2: Red Hat Linux Advanced (RHCE - Level 2) Duration: 40 Hours

Phase 3: Automation with Ansible (RHCE + DevOps Ready) Duration: 20 Hours

Ansible

Covered in Phase 3: Automation with Ansible (RHCE + DevOps Ready) Duration: 20 Hours

Linux

Covered in Phase 3: Automation with Ansible (RHCE + DevOps Ready) Duration: 20 Hours

Bash

Covered in Phase 3: Automation with Ansible (RHCE + DevOps Ready) Duration: 20 Hours

Real-Time Linux Scenarios for Data Center & Server Admins

Networking

Covered in Real-Time Linux Scenarios for Data Center & Server Admins

A. Server Provisioning & Boot Scenarios

Ansible

Covered in A. Server Provisioning & Boot Scenarios

Bash

Covered in A. Server Provisioning & Boot Scenarios

B. Network Configuration & Troubleshooting

Covered in B. Network Configuration & Troubleshooting

C. Storage & File System Tasks

Linux

Covered in C. Storage & File System Tasks

D. Security & Compliance Tasks

Linux

Covered in D. Security & Compliance Tasks

E. Process & Service-Level Troubleshooting

Covered in E. Process & Service-Level Troubleshooting

F. Performance & Monitoring

Covered in F. Performance & Monitoring

G. Backup, Recovery & Automation

Covered in G. Backup, Recovery & Automation

H. HA, Cluster & Virtualization Scenarios

Covered in H. HA, Cluster & Virtualization Scenarios

I. Miscellaneous Real-Time Tasks

Ansible

Covered in I. Miscellaneous Real-Time Tasks

Linux

Covered in I. Miscellaneous Real-Time Tasks

Bonus: 10 Simulation Scenarios for Interviews/Labs

Covered in Bonus: 10 Simulation Scenarios for Interviews/Labs

AWS Cloud Administration – Basic to Advanced Training (80–100 Hours)

AWS

Covered in AWS Cloud Administration – Basic to Advanced Training (80–100 Hours)

Module 1: Introduction to Cloud & AWS (4 Hours)

Cloud Computing

Covered in Module 1: Introduction to Cloud & AWS (4 Hours)

AWS

Covered in Module 1: Introduction to Cloud & AWS (4 Hours)

Module 2: Identity & Access Management (IAM) (6 Hours)

Covered in Module 2: Identity & Access Management (IAM) (6 Hours)

Module 3: Amazon EC2 & AMIs (12 Hours)

Linux

Covered in Module 3: Amazon EC2 & AMIs (12 Hours)

Module 4: Amazon S3 & Storage Services (8 Hours)

Covered in Module 4: Amazon S3 & Storage Services (8 Hours)

Module 5: Networking (VPC, Subnets, Route 53) (10 Hours)

Covered in Module 5: Networking (VPC, Subnets, Route 53) (10 Hours)

Module 6: Monitoring, Logs & Audit (8 Hours)

AWS

Covered in Module 6: Monitoring, Logs & Audit (8 Hours)

Module 7: Security, Compliance & Backup (6 Hours)

AWS

Covered in Module 7: Security, Compliance & Backup (6 Hours)

Module 8: RDS & Databases (6 Hours)

PostgreSQL

Covered in Module 8: RDS & Databases (6 Hours)

MySQL

Covered in Module 8: RDS & Databases (6 Hours)

Module 9: Automation & Management (10 Hours)

AWS

Covered in Module 9: Automation & Management (10 Hours)

Module 10: High Availability & Scalability (6 Hours)

Covered in Module 10: High Availability & Scalability (6 Hours)

Module 11: Migration, Cost & Troubleshooting (6 Hours)

AWS

Covered in Module 11: Migration, Cost & Troubleshooting (6 Hours)

Capstone Projects (Choose 1 or more)

AWS

Covered in Capstone Projects (Choose 1 or more)

Training Deliverables

AWS

Covered in Training Deliverables

AWS Cloud Admin Engineer Tasks by Support Level

Covered in AWS Cloud Admin Engineer Tasks by Support Level

L1 – AWS Cloud Admin Engineer Tasks (Entry-Level / Associate)

AWS

Covered in L1 – AWS Cloud Admin Engineer Tasks (Entry-Level / Associate)

ServiceNow

Covered in L1 – AWS Cloud Admin Engineer Tasks (Entry-Level / Associate)

JIRA

Covered in L1 – AWS Cloud Admin Engineer Tasks (Entry-Level / Associate)

L2 – AWS Cloud Admin Engineer Tasks (Mid-Level / Support Engineer)

AWS

Covered in L2 – AWS Cloud Admin Engineer Tasks (Mid-Level / Support Engineer)

Python

Covered in L2 – AWS Cloud Admin Engineer Tasks (Mid-Level / Support Engineer)

Bash

Covered in L2 – AWS Cloud Admin Engineer Tasks (Mid-Level / Support Engineer)

Networking

Covered in L2 – AWS Cloud Admin Engineer Tasks (Mid-Level / Support Engineer)

L3 – AWS Solution Architect / Sr. Cloud Admin Tasks (Advanced/Architect Level)

AWS

Covered in L3 – AWS Solution Architect / Sr. Cloud Admin Tasks (Advanced/Architect Level)

Terraform

Covered in L3 – AWS Solution Architect / Sr. Cloud Admin Tasks (Advanced/Architect Level)

Microservices

Covered in L3 – AWS Solution Architect / Sr. Cloud Admin Tasks (Advanced/Architect Level)

Jenkins

Covered in L3 – AWS Solution Architect / Sr. Cloud Admin Tasks (Advanced/Architect Level)

Summary Table

Networking

Covered in Summary Table

Terraform

Covered in Summary Table

AWS

Covered in Summary Table

DevOps Master Training Syllabus (With Labs & Projects)

Kubernetes

Covered in DevOps Master Training Syllabus (With Labs & Projects)

Prometheus

Covered in DevOps Master Training Syllabus (With Labs & Projects)

Terraform

Covered in DevOps Master Training Syllabus (With Labs & Projects)

Bitbucket

Covered in DevOps Master Training Syllabus (With Labs & Projects)

1. Version Control & Source Code Management Git

Git

Covered in 1. Version Control & Source Code Management Git

GitLab

Covered in 1. Version Control & Source Code Management Git

GitHub

Covered in 1. Version Control & Source Code Management Git

CI/CD

Covered in 1. Version Control & Source Code Management Git

2. Continuous Integration/Delivery Jenkins

Jenkins

Covered in 2. Continuous Integration/Delivery Jenkins

Ansible

Covered in 2. Continuous Integration/Delivery Jenkins

Docker

Covered in 2. Continuous Integration/Delivery Jenkins

Java

Covered in 2. Continuous Integration/Delivery Jenkins

3. Containerization & Orchestration

Docker

Covered in 3. Containerization & Orchestration

Kubernetes

Covered in 3. Containerization & Orchestration

Networking

Covered in 3. Containerization & Orchestration

Jenkins

Covered in 3. Containerization & Orchestration

4. GitOps and Deployment Automation Argo CD

Git

Covered in 4. GitOps and Deployment Automation Argo CD

5. Secrets & Configuration Management HashiCorp Vault

Ansible

Covered in 5. Secrets & Configuration Management HashiCorp Vault

Jenkins

Covered in 5. Secrets & Configuration Management HashiCorp Vault

Docker

Covered in 5. Secrets & Configuration Management HashiCorp Vault

6. Monitoring & Logging ELK Stack

Prometheus

Covered in 6. Monitoring & Logging ELK Stack

Grafana

Covered in 6. Monitoring & Logging ELK Stack

Elasticsearch

Covered in 6. Monitoring & Logging ELK Stack

Jenkins

Covered in 6. Monitoring & Logging ELK Stack

7. Artifact Management Nexus Repository Manager

Docker

Covered in 7. Artifact Management Nexus Repository Manager

Jenkins

Covered in 7. Artifact Management Nexus Repository Manager

CI/CD

Covered in 7. Artifact Management Nexus Repository Manager

8. Agile and Ticketing Tools

JIRA

Covered in 8. Agile and Ticketing Tools

Jenkins

Covered in 8. Agile and Ticketing Tools

GitHub

Covered in 8. Agile and Ticketing Tools

Git

Covered in 8. Agile and Ticketing Tools

9. Infrastructure as Code

Terraform

Covered in 9. Infrastructure as Code

AWS

Covered in 9. Infrastructure as Code

Azure

Covered in 9. Infrastructure as Code

10. DevOps in Cloud Pipelines

Azure

Covered in 10. DevOps in Cloud Pipelines

AWS

Covered in 10. DevOps in Cloud Pipelines

Docker

Covered in 10. DevOps in Cloud Pipelines

CI/CD

Covered in 10. DevOps in Cloud Pipelines

11. ChatOps and Collaboration

Jenkins

Covered in 11. ChatOps and Collaboration

Prometheus

Covered in 11. ChatOps and Collaboration

GitHub

Covered in 11. ChatOps and Collaboration

Capstone Projects (Choose 1–2) • Enterprise-grade CI/CD pipeli

Prometheus

Covered in Capstone Projects (Choose 1–2) • Enterprise-grade CI/CD pipeli

Terraform

Covered in Capstone Projects (Choose 1–2) • Enterprise-grade CI/CD pipeli

Jenkins

Covered in Capstone Projects (Choose 1–2) • Enterprise-grade CI/CD pipeli

Grafana

Covered in Capstone Projects (Choose 1–2) • Enterprise-grade CI/CD pipeli

Course Duration

Covered in Course Duration

Devops

Covered in Devops

1. Git, GitHub, GitLab, Bitbucket

Git

Covered in 1. Git, GitHub, GitLab, Bitbucket

Jenkins

Covered in 1. Git, GitHub, GitLab, Bitbucket

GitHub

Covered in 1. Git, GitHub, GitLab, Bitbucket

CI/CD

Covered in 1. Git, GitHub, GitLab, Bitbucket

2. Jenkins (CI/CD Automation)

Jenkins

Covered in 2. Jenkins (CI/CD Automation)

Bitbucket

Covered in 2. Jenkins (CI/CD Automation)

Docker

Covered in 2. Jenkins (CI/CD Automation)

GitHub

Covered in 2. Jenkins (CI/CD Automation)

3. Docker

Docker

Covered in 3. Docker

4. Kubernetes

Kubernetes

Covered in 4. Kubernetes

5. HashiCorp Vault

Kubernetes

Covered in 5. HashiCorp Vault

Jenkins

Covered in 5. HashiCorp Vault

Ansible

Covered in 5. HashiCorp Vault

AWS

Covered in 5. HashiCorp Vault

6. ELK Stack (Elasticsearch, Logstash, Kibana)

Elasticsearch

Covered in 6. ELK Stack (Elasticsearch, Logstash, Kibana)

Kubernetes

Covered in 6. ELK Stack (Elasticsearch, Logstash, Kibana)

Docker

Covered in 6. ELK Stack (Elasticsearch, Logstash, Kibana)

7. Argo CD (GitOps)

Git

Covered in 7. Argo CD (GitOps)

Kubernetes

Covered in 7. Argo CD (GitOps)

8. Jira

JIRA

Covered in 8. Jira

CI/CD

Covered in 8. Jira

9. Nexus Repository Manager

Jenkins

Covered in 9. Nexus Repository Manager

GitLab

Covered in 9. Nexus Repository Manager

Docker

Covered in 9. Nexus Repository Manager

CI/CD

Covered in 9. Nexus Repository Manager

10. Helm

Kubernetes

Covered in 10. Helm

Git

Covered in 10. Helm

11. Ansible

Ansible

Covered in 11. Ansible

Jenkins

Covered in 11. Ansible

Git

Covered in 11. Ansible

12. Terraform

Terraform

Covered in 12. Terraform

Azure

Covered in 12. Terraform

Jenkins

Covered in 12. Terraform

AWS

Covered in 12. Terraform

13. Vault (Secret Management)

Covered in 13. Vault (Secret Management)

14. Prometheus

Grafana

Covered in 14. Prometheus

15. Grafana

Prometheus

Covered in 15. Grafana

16. Azure DevOps / AWS CodePipeline

Azure

Covered in 16. Azure DevOps / AWS CodePipeline

GitHub

Covered in 16. Azure DevOps / AWS CodePipeline

CI/CD

Covered in 16. Azure DevOps / AWS CodePipeline

AWS

Covered in 16. Azure DevOps / AWS CodePipeline

17. ChatOps (Slack / Microsoft Teams)

CI/CD

Covered in 17. ChatOps (Slack / Microsoft Teams)

BONUS: CROSS-FUNCTIONAL RESPONSIBILITIES

CI/CD

Covered in BONUS: CROSS-FUNCTIONAL RESPONSIBILITIES

Python for AWS, Linux & DevOps Engineers – 60 Hours Practical Training

Python

Covered in Python for AWS, Linux & DevOps Engineers – 60 Hours Practical Training

Linux

Covered in Python for AWS, Linux & DevOps Engineers – 60 Hours Practical Training

AWS

Covered in Python for AWS, Linux & DevOps Engineers – 60 Hours Practical Training

Kubernetes

Covered in Python for AWS, Linux & DevOps Engineers – 60 Hours Practical Training

Module 1: Core Python Programming (6 Hours)

Python

Covered in Module 1: Core Python Programming (6 Hours)

Linux

Covered in Module 1: Core Python Programming (6 Hours)

Module 2: File, Log, and Config Handling (6 Hours)

AWS

Covered in Module 2: File, Log, and Config Handling (6 Hours)

Module 3: Linux System Automation with Python (8 Hours)

Python

Covered in Module 3: Linux System Automation with Python (8 Hours)

Module 4: Python for AWS Cloud Automation (Boto3) (10 Hours)

Python

Covered in Module 4: Python for AWS Cloud Automation (Boto3) (10 Hours)

Module 5: DevOps Tools Automation with Python (10 Hours)

Docker

Covered in Module 5: DevOps Tools Automation with Python (10 Hours)

Python

Covered in Module 5: DevOps Tools Automation with Python (10 Hours)

Kubernetes

Covered in Module 5: DevOps Tools Automation with Python (10 Hours)

Jenkins

Covered in Module 5: DevOps Tools Automation with Python (10 Hours)

Module 6: REST API Integration + JSON/XML Handling (6 Hours)

AWS

Covered in Module 6: REST API Integration + JSON/XML Handling (6 Hours)

Module 7: CLI & Tool Development (4 Hours)

Docker

Covered in Module 7: CLI & Tool Development (4 Hours)

Python

Covered in Module 7: CLI & Tool Development (4 Hours)

Module 8: Projects & Capstone Labs (10 Hours)

Jenkins

Covered in Module 8: Projects & Capstone Labs (10 Hours)

Docker

Covered in Module 8: Projects & Capstone Labs (10 Hours)

CI/CD

Covered in Module 8: Projects & Capstone Labs (10 Hours)

Linux

Covered in Module 8: Projects & Capstone Labs (10 Hours)

Tools & Libraries Used

Docker

Covered in Tools & Libraries Used

Python

Covered in Tools & Libraries Used

Git

Covered in Tools & Libraries Used

Kubernetes

Covered in Tools & Libraries Used

Deliverables

GitHub

Covered in Deliverables

10+

Tools & Libraries

928+

Hands-On Topics

213

Total Modules

Courses Combined

You don't just learn LINUX | AWS | DEVOPS | PYTHON – COMBO. You apply it.

A combined capstone project across all 82 courses — the same way you'd apply these skills on the job.

PROJECT // 01

LINUX | AWS | DEVOPS | PYTHON – COMBO Capstone Project

→Key Tools & Technologies You Will Learn

→What You Will Gain

→👥 Ideal For

→Certifications You Can Prepare For

→Red Hat Linux Training: Basic to Advanced (100 Hours)

→Phase 1: Red Hat Linux Basics (RHCSA - Level 1) Duration: 40 Hours

→Phase 2: Red Hat Linux Advanced (RHCE - Level 2) Duration: 40 Hours

→Phase 3: Automation with Ansible (RHCE + DevOps Ready) Duration: 20 Hours

→Real-Time Linux Scenarios for Data Center & Server Admins

→A. Server Provisioning & Boot Scenarios

→B. Network Configuration & Troubleshooting

→C. Storage & File System Tasks

→D. Security & Compliance Tasks

→E. Process & Service-Level Troubleshooting

→F. Performance & Monitoring

→G. Backup, Recovery & Automation

→H. HA, Cluster & Virtualization Scenarios

→I. Miscellaneous Real-Time Tasks

→Bonus: 10 Simulation Scenarios for Interviews/Labs

→AWS Cloud Administration – Basic to Advanced Training (80–100 Hours)

→Module 1: Introduction to Cloud & AWS (4 Hours)

→Module 2: Identity & Access Management (IAM) (6 Hours)

→Module 3: Amazon EC2 & AMIs (12 Hours)

→Module 4: Amazon S3 & Storage Services (8 Hours)

→Module 5: Networking (VPC, Subnets, Route 53) (10 Hours)

→Module 6: Monitoring, Logs & Audit (8 Hours)

→Module 7: Security, Compliance & Backup (6 Hours)

→Module 8: RDS & Databases (6 Hours)

→Module 9: Automation & Management (10 Hours)

→Module 10: High Availability & Scalability (6 Hours)

→Module 11: Migration, Cost & Troubleshooting (6 Hours)

→Capstone Projects (Choose 1 or more)

→Training Deliverables

→AWS Cloud Admin Engineer Tasks by Support Level

→L1 – AWS Cloud Admin Engineer Tasks (Entry-Level / Associate)

→L2 – AWS Cloud Admin Engineer Tasks (Mid-Level / Support Engineer)

→L3 – AWS Solution Architect / Sr. Cloud Admin Tasks (Advanced/Architect Level)

→Summary Table

→DevOps Master Training Syllabus (With Labs & Projects)

→1. Version Control & Source Code Management Git

→2. Continuous Integration/Delivery Jenkins

→3. Containerization & Orchestration

→4. GitOps and Deployment Automation Argo CD

→5. Secrets & Configuration Management HashiCorp Vault

→6. Monitoring & Logging ELK Stack

→7. Artifact Management Nexus Repository Manager

→8. Agile and Ticketing Tools

→9. Infrastructure as Code

→10. DevOps in Cloud Pipelines

→11. ChatOps and Collaboration

→Capstone Projects (Choose 1–2) • Enterprise-grade CI/CD pipeli

→Course Duration

→Devops

→1. Git, GitHub, GitLab, Bitbucket

→2. Jenkins (CI/CD Automation)

→3. Docker

→4. Kubernetes

→5. HashiCorp Vault

→6. ELK Stack (Elasticsearch, Logstash, Kibana)

→7. Argo CD (GitOps)

→8. Jira

→9. Nexus Repository Manager

→10. Helm

→11. Ansible

→12. Terraform

→13. Vault (Secret Management)

→14. Prometheus

→15. Grafana

→16. Azure DevOps / AWS CodePipeline

→17. ChatOps (Slack / Microsoft Teams)

→BONUS: CROSS-FUNCTIONAL RESPONSIBILITIES

→Python for AWS, Linux & DevOps Engineers – 60 Hours Practical Training

→Module 1: Core Python Programming (6 Hours)

→Module 2: File, Log, and Config Handling (6 Hours)

→Module 3: Linux System Automation with Python (8 Hours)

→Module 4: Python for AWS Cloud Automation (Boto3) (10 Hours)

→Module 5: DevOps Tools Automation with Python (10 Hours)

→Module 6: REST API Integration + JSON/XML Handling (6 Hours)

→Module 7: CLI & Tool Development (4 Hours)

→Module 8: Projects & Capstone Labs (10 Hours)

→Tools & Libraries Used

→Deliverables

Capstone Project Combined

Apply everything you learn across Key Tools & Technologies You Will Learn, What You Will Gain, 👥 Ideal For, Certifications You Can Prepare For, Red Hat Linux Training: Basic to Advanced (100 Hours) and 77 more to one real-world project

Bring together every course in this programme into a single, end-to-end project — the same way you would apply these combined skills on the job.

A working project combining all course modules

Added directly to your project portfolio

Reviewed by mentors before you graduate

Stack AWS Docker Jenkins Git Ansible Python Linux CI/CD Kubernetes Terraform

Hands-on Practice Areas

Hands-on Practice: Key Tools & Technologies You Will Learn Hands-on Practice: What You Will Gain Hands-on Practice: 👥 Ideal For Hands-on Practice: Certifications You Can Prepare For Hands-on Practice: Red Hat Linux Training: Basic to Advanced (100 Hours) Hands-on Practice: Phase 1: Red Hat Linux Basics (RHCSA - Level 1) Duration: 40 Hours Hands-on Practice: Phase 2: Red Hat Linux Advanced (RHCE - Level 2) Duration: 40 Hours Hands-on Practice: Phase 3: Automation with Ansible (RHCE + DevOps Ready) Duration: 20 Hours Hands-on Practice: Real-Time Linux Scenarios for Data Center & Server Admins Hands-on Practice: A. Server Provisioning & Boot Scenarios Hands-on Practice: B. Network Configuration & Troubleshooting Hands-on Practice: C. Storage & File System Tasks Hands-on Practice: D. Security & Compliance Tasks Hands-on Practice: E. Process & Service-Level Troubleshooting Hands-on Practice: F. Performance & Monitoring Hands-on Practice: G. Backup, Recovery & Automation Hands-on Practice: H. HA, Cluster & Virtualization Scenarios Hands-on Practice: I. Miscellaneous Real-Time Tasks Hands-on Practice: Bonus: 10 Simulation Scenarios for Interviews/Labs Hands-on Practice: AWS Cloud Administration – Basic to Advanced Training (80–100 Hours) Hands-on Practice: Module 1: Introduction to Cloud & AWS (4 Hours) Hands-on Practice: Module 2: Identity & Access Management (IAM) (6 Hours) Hands-on Practice: Module 3: Amazon EC2 & AMIs (12 Hours) Hands-on Practice: Module 4: Amazon S3 & Storage Services (8 Hours) Hands-on Practice: Module 5: Networking (VPC, Subnets, Route 53) (10 Hours) Hands-on Practice: Module 6: Monitoring, Logs & Audit (8 Hours) Hands-on Practice: Module 7: Security, Compliance & Backup (6 Hours) Hands-on Practice: Module 8: RDS & Databases (6 Hours) Hands-on Practice: Module 9: Automation & Management (10 Hours) Hands-on Practice: Module 10: High Availability & Scalability (6 Hours) Hands-on Practice: Module 11: Migration, Cost & Troubleshooting (6 Hours) Hands-on Practice: Capstone Projects (Choose 1 or more) Hands-on Practice: Training Deliverables Hands-on Practice: AWS Cloud Admin Engineer Tasks by Support Level Hands-on Practice: L1 – AWS Cloud Admin Engineer Tasks (Entry-Level / Associate) Hands-on Practice: L2 – AWS Cloud Admin Engineer Tasks (Mid-Level / Support Engineer) Hands-on Practice: L3 – AWS Solution Architect / Sr. Cloud Admin Tasks (Advanced/Architect Level) Hands-on Practice: Summary Table Hands-on Practice: DevOps Master Training Syllabus (With Labs & Projects) Hands-on Practice: 1. Version Control & Source Code Management Git Hands-on Practice: 2. Continuous Integration/Delivery Jenkins Hands-on Practice: 3. Containerization & Orchestration Hands-on Practice: 4. GitOps and Deployment Automation Argo CD Hands-on Practice: 5. Secrets & Configuration Management HashiCorp Vault Hands-on Practice: 6. Monitoring & Logging ELK Stack Hands-on Practice: 7. Artifact Management Nexus Repository Manager Hands-on Practice: 8. Agile and Ticketing Tools Hands-on Practice: 9. Infrastructure as Code Hands-on Practice: 10. DevOps in Cloud Pipelines Hands-on Practice: 11. ChatOps and Collaboration Hands-on Practice: Capstone Projects (Choose 1–2) • Enterprise-grade CI/CD pipeli Hands-on Practice: Course Duration Hands-on Practice: Devops Hands-on Practice: 1. Git, GitHub, GitLab, Bitbucket Hands-on Practice: 2. Jenkins (CI/CD Automation) Hands-on Practice: 3. Docker Hands-on Practice: 4. Kubernetes Hands-on Practice: 5. HashiCorp Vault Hands-on Practice: 6. ELK Stack (Elasticsearch, Logstash, Kibana) Hands-on Practice: 7. Argo CD (GitOps) Hands-on Practice: 8. Jira Hands-on Practice: 9. Nexus Repository Manager Hands-on Practice: 10. Helm Hands-on Practice: 11. Ansible Hands-on Practice: 12. Terraform Hands-on Practice: 13. Vault (Secret Management) Hands-on Practice: 14. Prometheus Hands-on Practice: 15. Grafana Hands-on Practice: 16. Azure DevOps / AWS CodePipeline Hands-on Practice: 17. ChatOps (Slack / Microsoft Teams) Hands-on Practice: BONUS: CROSS-FUNCTIONAL RESPONSIBILITIES Hands-on Practice: Python for AWS, Linux & DevOps Engineers – 60 Hours Practical Training Hands-on Practice: Module 1: Core Python Programming (6 Hours) Hands-on Practice: Module 2: File, Log, and Config Handling (6 Hours) Hands-on Practice: Module 3: Linux System Automation with Python (8 Hours) Hands-on Practice: Module 4: Python for AWS Cloud Automation (Boto3) (10 Hours) Hands-on Practice: Module 5: DevOps Tools Automation with Python (10 Hours) Hands-on Practice: Module 6: REST API Integration + JSON/XML Handling (6 Hours) Hands-on Practice: Module 7: CLI & Tool Development (4 Hours) Hands-on Practice: Module 8: Projects & Capstone Labs (10 Hours) Hands-on Practice: Tools & Libraries Used Hands-on Practice: Deliverables

All projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

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