Combo Program

★★★★★

(2,088 ratings) 50,000+ Student

LINUX | AWS | DEVOPS | PYTHON | DOCKER & KUBERNETES | TERRAFORM – COMBO Training in Pune

The Linux | Cloud | DevOps | Python | Docker & Kubernetes | Terraform Combo Program is a comprehensive, all-in-one training track designed for IT professionals and aspirants aiming to build expertise across multiple domains of modern infrastructure management and automation. This 6-month, 280-hour practical training offers a foundational-to-advanced roadmap covering operating systems, programming, cloud platforms, containers, and infrastructure as code (IaC). Whether you're a beginner stepping into IT or a system/network/cloud engineer upgrading to a DevOps role, this program is tailored to make you deployment-ready, automation-efficient, and cloud-capable. Total Hours: 280+ Hours Duration: 6 Months Batch type : Weekdays/Weekends Mode of Training : Classroom/Online/Corporate Training Project-Based: Includes 10+ Capstone Projects & Assignments

Radical Technologies

50,000+ English 170 Modules · 36 Sections

Online / Classroom

LINUX | AWS | DEVOPS | PYTHON | DOCKER & KUBERNETES | TERRAFORM – COMBO + 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 + AWS Cloud Administration – Basic to Advanced Training (80–100 Hours) + 1. Version Control & Source Code Management + 2. Continuous Integration/Delivery Jenkins + 3. Containerization & Orchestration + 4. GitOps and Deployment Automation + 5. Secrets & Configuration Management + 6. Monitoring & Logging + 7. Artifact Management + 8. Agile and Ticketing Tools + 9. Infrastructure as Code + 10. DevOps in Cloud Pipelines + 11. ChatOps and Collaboration + 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) + Part 1: Docker & Container Fundamentals (15 Hours) + Part 2: Kubernetes – CKA Aligned (50+ Hours) + Terraform Job-Oriented Training Syllabus (40–50 Hours)

Sections Included 36 Sections 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 Terraform Jenkins Git Kubernetes Ansible Python Linux Azure

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What you'll learn

💡 Why Choose This Combo Course?

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

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

Mode :Classroom / Online / Self-paced

Format: Theory + Labs + Assignments + Projects

Programme Overview

170 modules across LINUX | AWS | DEVOPS | PYTHON | DOCKER & KUBERNETES | TERRAFORM – COMBO, 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, AWS Cloud Administration – Basic to Advanced Training (80–100 Hours), 1. Version Control & Source Code Management, 2. Continuous Integration/Delivery Jenkins, 3. Containerization & Orchestration, 4. GitOps and Deployment Automation, 5. Secrets & Configuration Management, 6. Monitoring & Logging, 7. Artifact Management, 8. Agile and Ticketing Tools, 9. Infrastructure as Code, 10. DevOps in Cloud Pipelines, 11. ChatOps and Collaboration, 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), Part 1: Docker & Container Fundamentals (15 Hours), Part 2: Kubernetes – CKA Aligned (50+ Hours), Terraform Job-Oriented Training Syllabus (40–50 Hours) — a single, progressive learning arc from foundational concepts to real-world projects.

Programme Sections

170

Total Modules

1023

Total Topics

4.8★

Average Rating

50K+

Students Trained

Terraform Linux AWS

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

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

Master the core concepts and hands-on skills of Phase 2: Red Hat Linux Advanced (RHCE - Level 2) Duration: 40 Hours — from fundamentals to real-world application.

Bash

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

Master the core concepts and hands-on skills of Phase 3: Automation with Ansible (RHCE + DevOps Ready) Duration: 20 Hours — from fundamentals to real-world application.

Ansible Linux Bash

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

Master the core concepts and hands-on skills of AWS Cloud Administration – Basic to Advanced Training (80–100 Hours) — from fundamentals to real-world application.

AWS Terraform Networking

1. Version Control & Source Code Management

Master the core concepts and hands-on skills of 1. Version Control & Source Code Management — from fundamentals to real-world application.

Git GitLab GitHub

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

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

36 sections • 170 modules • 1023 topics

Programme Sections

100% Practical · Unlimited Doubt Sessions

• 🌍 All-in-One Program — Learn Linux, Python, AWS, DevOps, Docker, K8s & Terraform in a single track

• 🛠️ Real-Time Projects — Apply your skills to real-world deployments

and use cases

• 📜 Certification Guidance — Get prepared for RHCSA, AWS SAA, CKA,

Terraform Associate

• 👨‍🏫 Hands-On + Theory — Lab-intensive curriculum focused on practical

implementation

• 👔 Career-Oriented — Resume support, mock interviews, real-world

assignments

• 📈 High ROI Skills — Demand for DevOps, Cloud & Automation roles is rapidly growing

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

Versions: RHEL 8 & 9

Delivery Mode: Classroom / Online / Self-paced + Labs

Certification Aligned: RHCSA + RHCE + Real-Time System Admin Skills

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

Programme Sections

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

Programme Sections

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

Programme Sections

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)

Project 1: Setup and Harden a Web Server

• Install Apache + Firewall + SELinux

• Automate user creation and backup with Bash scripts

Project 2: NFS + Samba + FTP Integration

• Multi-user file sharing setup with permissions

Project 3: LVM Automation with Ansible

• Create, mount, and manage LVM volumes via playbooks

Certifications This Training Prepares You For

• RHCSA (EX200)

• RHCE (EX294)

• Optional: Entry-level Linux+ or LFCS

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

1. Provision 100+ Bare Metal Servers with Kickstart

o Automate RHEL installations using PXE boot and Kickstart.

2. Change Boot Target from GUI to CLI in Production Server

o Recover from high resource usage due to GNOME GUI.

3. Rescue Unbootable Server due to Corrupt /etc/fstab

o Boot using ISO, mount partitions, and fix fstab manually.

4. Extend / Root Partition Live in LVM

o Use LVM tools to resize root volume without downtime.

5. Convert Static IP to DHCP on Multiple Servers via Script

o Push changes using Bash/Ansible and verify connectivity.

6. Configure Bonding on Dual NICs for Redundancy

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

7. Set Up VLAN Tagged Interfaces for Isolated Traffic

o Configure VLAN interfaces and routing rules per segment.

8. Fix Intermittent Network Drop due to NIC Driver Issues

o Diagnose using dmesg, update driver, blacklist old module.

9. Setup Gatewayless Routing for Multi-NIC Servers

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

10. Configure NFS Server with Secure Access for Application Nodes

o Restrict access with IP ranges, root_squash, SELinux.

11. Mount iSCSI Target from SAN and Format Using LVM

o Discover LUNs, format with XFS and integrate into /data.

12.Recover Deleted Files from Unmounted Disk Using extundelete

o Perform safe recovery on ext3/ext4 partitions.

13.Resize Online XFS Partition with Downtime-Free Expansion

o Extend LVM, use xfs_growfs without rebooting.

14. Harden SSH Access Across 100+ Servers

o Disable root login, change port, enforce key-based auth.

15. Configure Centralized Logging Using Rsyslog Server

o Aggregate logs to central box for audit compliance.

16.Automate Daily Security Patch Installation via yum-cron

o Enable unattended upgrades and reporting.

17. Configure and Troubleshoot SELinux Blocking Apache Access

o Use audit2allow and semanage fcontext for custom paths.

18. Investigate Sudden Apache Downtime

o Analyze logs, systemctl status, verify port conflict.

19. Diagnose High CPU Load from Zombie Processes

o Identify using ps, top, and kill parent PIDs.

20. Fix Server Freezing due to Memory Leaks in Custom App

o Use free, vmstat, valgrind, and sar to analyze.

21.Restart Hung NFS Mount without Reboot

o Kill stale NFS processes and remount manually.

22. Configure Performance Tuning with tuned Profiles

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

23. Implement I/O Monitoring for Disks via iostat and blktrace

o Create reports and alerts for high disk latency.

24. Configure SNMP Monitoring Agent for NOC Dashboards

o Secure SNMPv3 setup with allowed IP ranges.

25. Set Up Email Alerts on Disk Space & Memory Thresholds

o Use cron + mailx + df or shell scripts.

26.Automate Daily Incremental Backup with rsync to NAS

o Log rotation, size limits, and retry on failure logic.

27. Configure Full System Backup with tar + Compression + Encryption

o Use cron jobs, gpg, and remote SFTP storage.

28.Restore Crashed Server Using Bare-Metal Backup

o Use Clonezilla / Rescue ISO with RAID rebuilding.

29. Schedule and Monitor Server Tasks with cronie and atd

o Alert on failures using MAILTO.

30. Configure HAProxy Load Balancer with Apache Servers

o Failover, health checks, and weighted load balancing.

31. Setup and Manage KVM Guests from CLI

o Use virt-install, virsh, and image templates.

32. Troubleshoot Shared Storage Conflict in Cluster Nodes

o Fence failed nodes and recover safely.

33. Migrate KVM VM from One Host to Another (Cold + Live)

o Use virt-clone, rsync, or virsh migrate.

34. Find Top 10 Disk Space Consuming Files/Dirs

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

35.Audit Server for PCI-DSS / CIS Linux Hardening

o Generate Lynis or OpenSCAP reports.

36. Create Central Shell Script to Push Configs to All Servers

o Use sshpass, for loop or Ansible playbook.

Scenario

Challenge

Clone & configure 10 servers with specific user, network, and firewall rules

Scripting + CLI Config

One NIC drops intermittently on heavy load

NIC driver, 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)

Programme Sections

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

• IAM users, groups, and roles

• IAM policies (JSON policy structure)

• MFA setup and best practices

• IAM roles for EC2, Lambda

• Resource access delegation

Hands-On Practice

› Hands-on: • Create IAM policy to restrict S3 and EC2 access.
› Hands-on: • Assign role to EC2 instance to access S3 bucket.

• 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)

Hands-On Practice

› Hands-on: • Launch 2-tier app (web & DB) on EC2.
› Hands-on: • Backup & restore an EC2 with AMI.

• 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

Hands-On Practice

› Hands-on: • Host a static website on S3 with custom domain.
› Hands-on: • Configure lifecycle policy to move objects to Glacier.

• 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

Hands-On Practice

› Hands-on: • Launch a VPC with 2-tier architecture.
› Hands-on: • Configure Route 53 with custom domain and failover policy.

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

• CloudTrail for auditing API activity

• EC2 log monitoring

• Custom metrics and log groups

Hands-On Practice

› Hands-on: • Create CPU alarm for EC2.
› Hands-on: • Monitor login activities via CloudTrail.

• AWS KMS and encryption at rest/in-transit

• AWS Backup service

• Security Hub, GuardDuty basics

• Inspector, WAF, Shield (overview)

Hands-On Practice

› Hands-on: • Enable GuardDuty and investigate alerts.
› Hands-on: • Schedule backup jobs using AWS Backup.

• RDS instance launch (MySQL, PostgreSQL)

• Subnet group and parameter group

• Automated backups and snapshots

• Multi-AZ vs Read Replicas

• Amazon Aurora basics

Hands-On Practice

› Hands-on: • Deploy and connect to RDS from EC2.
› Hands-on: • Restore RDS from snapshot.

• 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)

Hands-On Practice

› Hands-on: • Write CLI script to create EC2 and attach volume.
› Hands-on: • Use SSM to patch multiple EC2s.

• Elastic Load Balancer (ALB, NLB)

• Auto Scaling Groups

• Launch templates and health checks

• Multi-AZ setup for EC2 & RDS

Hands-On Practice

› Hands-on: • Create HA web tier with ALB + ASG.
› Hands-on: • Configure scaling policy based on CPU.

• AWS Migration Hub and Application Discovery

• AWS Cost Explorer and budgets

• Trusted Advisor usage

• Billing alarms and optimization strategies

• Troubleshooting EC2, S3, VPC, IAM issues

Project 1: Deploy a Secure 3-Tier Web App on AWS

• EC2 (web), RDS (DB), S3 (static files), ALB, ASG, Route 53

Project 2: Backup & Disaster Recovery Solution

• Use AWS Backup, AMIs, and S3 Glacier for long-term backup

Project 3: Monitoring & Alerting System

• Setup CloudWatch dashboards and alerts for web and DB layers

• 100+ Hands-on Labs & Assignments

• 30+ Real-Time Scenarios

• 20+ Troubleshooting Exercises

• Resume Projects + Certification Guidance

• AWS Free Tier Setup Support

Level

Title

Experience

Focus

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

Monitoring & First-Level Support

• 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.

Routine Operational Tasks

• 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.

Documentation & SOPs

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

• Maintain ticket documentation and logs.

• Escalate issues to L2/L3 based on SLA.

Tools Used: AWS Console, AWS CLI, CloudWatch, ITSM tools (ServiceNow, Jira),Putty/Mobaxterm

Infrastructure Management

• Design and implement VPC with public/private subnets.

• Configure NAT Gateways, Route Tables, IGWs.

• Automate EC2 provisioning with User Data and Launch Templates.

Security & Access

• 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.

Networking & Troubleshooting

• Troubleshoot VPC connectivity issues, security group/NACL conflicts.

• Configure VPN/Direct Connect interfaces.

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

Backup & Recovery

• Implement backup strategies with AWS Backup.

• Automate snapshot rotation for EC2/EBS.

• Restore instances or volumes from snapshots.

Monitoring & Logging

• Create CloudWatch Alarms and dashboards.

• Setup custom log monitoring with CloudWatch Logs Insights.

• Review CloudTrail logs for unusual activities.

Automation & Scripting

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

automation).

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

Tools Used: AWS CLI, CloudFormation (basic), SSM, Lambda (trigger-based), Bash/Python, Git

Architecture & Design

• Design scalable, HA cloud architectures with Auto Scaling, Multi-AZ

deployments.

• Create DR strategies using cross-region replication, Route 53 failover.

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

Infrastructure as Code (IaC)

• Design & deploy AWS CloudFormation, Terraform templates.

• Create reusable modules for EC2, VPC, RDS, ALB, etc.

DevOps Integration

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

• Manage container orchestration (ECS, EKS).

• Implement GitOps and ChatOps practices.

Security & Governance

• 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).

Cost Optimization & Billing

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

• Set budgets and alerts.

• Optimize Reserved Instances and Spot usage strategies.

Incident Management & RCA

• Lead P1 incident resolution and RCA documentation.

• Work closely with AWS Support and escalate SRs.

Tools Used: Terraform, CloudFormation, IAM Federation, Security Hub, Cost Explorer, Config Rules, AWS Well-Architected Tool

Task Domain

Monitoring

Basic checks, alerts

Setup alarms, log groups

Custom dashboards, anomaly detection

EC2/Infrastructure

Launch, stop, reboot

Configure ASG, ELB, backups

Architect HA, Multi-AZ/region apps

IAM

Create users, roles

Write/manage IAM policies

IAM Federation, SCP

Networking

Security groups

VPC/Subnets, VPN config

Multi-region, Direct Connect

Storage (S3/EBS/EFS)

Upload/download

Lifecycle policies, encryption

Storage tiering, cross-region replication

Automation

Manual execution

AWS CLI scripting, SSM

Terraform, CloudFormation

Backup & DR

Snapshots, restore

Backup policies, automation

DR design, cross-region failover

Compliance/Security

Basic patching

GuardDuty, Config rules

Org-wide guardrails, Security Hub

Cost Management

Budget alerts

Cost optimization, reserved planning

Tools Covered

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

Syllabus Overview

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.

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. Version Control & Source Code Management

Programme Sections

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

Programme Sections

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

Programme Sections

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

Programme Sections

100% Practical · Unlimited Doubt Sessions

• GitOps architecture

application deployment

• Sync

rollback

hooks

SSO/RBAC

• Install charts

chart structure

upgrades

values

5. Secrets & Configuration Management

Programme Sections

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

Programme Sections

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

Programme Sections

100% Practical · Unlimited Doubt Sessions

• Hosted

proxy

group repositories for Maven

Docker

Helm

• Role-based access

8. Agile and Ticketing Tools

Programme Sections

100% Practical · Unlimited Doubt Sessions

• Projects

Epics

Sprints

Boards

• Jira-GitHub/Jenkins integrations

• Reports and team velocity

9. Infrastructure as Code

Programme Sections

100% Practical · Unlimited Doubt Sessions

• Providers

resources

variables

modules

workspaces

• AWS

Azure

K8s provisioning

• Terraform Cloud

10. DevOps in Cloud Pipelines

Programme Sections

100% Practical · Unlimited Doubt Sessions

• Repos

Pipelines

Artifacts

Releases

Boards

• CodeCommit

CodeBuild

CodeDeploy orchestration

• Manual approvals

rollback

11. ChatOps and Collaboration

Programme Sections

100% Practical · Unlimited Doubt Sessions

• Integrate Jenkins

GitHub

Argo CD

and Prometheus alerts

• Build your own chatbot with Webhooks/API

• 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

• Lab Exercises: 30+

• Real-World Projects: 3–5

1. Git, GitHub, GitLab, Bitbucket

Programme Sections

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)

Programme Sections

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

Programme Sections

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

Programme Sections

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

Programme Sections

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)

Programme Sections

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)

Programme Sections

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

Programme Sections

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

Programme Sections

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

Programme Sections

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

Programme Sections

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

Programme Sections

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)

Programme Sections

100% Practical · Unlimited Doubt Sessions

• (Also covered under HashiCorp Vault above)

14. Prometheus

Programme Sections

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

Programme Sections

100% Practical · Unlimited Doubt Sessions

• (Also covered under HashiCorp Vault above)

16. Azure DevOps / AWS CodePipeline

Programme Sections

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)

Programme Sections

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.

• 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.

Objective

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.

Syllabus Overview

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.

• Python installation (Linux/Windows/macOS)

• Variables, Data Types, Operators

• Control flow (if, else, loops)

• Functions and Lambda

• Modules and packages

• Exception handling

Lab

• Create simple calculator & log parser script

• Automate system update notifier

• File I/O operations

• Working with .log, .ini, .conf, .yaml, .json files

• Log rotation script

• Config validation script

Lab

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

• Modify JSON-based AWS policy templates

• Automating user creation, groups, disk monitoring

• Process monitoring & systemd integration

• os, shutil, subprocess, platform modules

• Automate crontab entries

Lab

• Write a disk threshold alert script

• Bulk user creation using CSV and Python

• 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)

Lab

• Write a script to create EC2 instances with tags

• Backup files to S3 using Python + Boto3

• Auto-delete S3 objects older than 30 days

• 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

Lab

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

• Deploy Kubernetes pods using Python script

• Trigger Jenkins job and fetch console logs

• Using requests to call external/internal APIs

• Auth (token, basic)

• GET/POST/PUT/DELETE

• Work with JSON responses and headers

Lab

• Get AWS billing data from Cost Explorer API

• Consume a public API (weather, IP lookup)

• Command-line arguments using argparse and click

• Logging and error handling

• Environment detection

• Custom utilities and small Python tools

Lab

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

• Write a CLI tool to deploy apps to Docker

Project 1: AWS Infra Provisioner Tool

• Launch EC2, assign tags, attach volume, add to ELB

Project 2: Linux Audit Script

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

Project 3: CI/CD Automation Script

• Trigger Jenkins job, build Docker image, deploy to K8s

Project 4: S3 Lifecycle Manager

• Automatically clean logs older than 30 days from S3

• 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

• 60+ hours of training

• 15+ real-time automation scripts

• 4 major projects with documentation

• Resume & interview guidance

• GitHub-ready portfolio

Audience: System Admins, DevOps Engineers, Cloud Admins, Developers

Format: Practical labs + Certification prep + Projects

Outcome: Prepare for CKA exam + Master real-time Kubernetes use cases

Part 1: Docker & Container Fundamentals (15 Hours)

Programme Sections

100% Practical · Unlimited Doubt Sessions

• Containers vs VMs

• Docker architecture

• Installing Docker CE

• Docker run

exec

logs

stop

• Docker images

build

tag

push

• Docker volumes

bind mounts

• Docker networks

• Writing Dockerfiles

• Layering

caching

ENTRYPOINT vs CMD

• Multi-stage builds

• Pushing images to Docker Hub/Harbor

• docker-compose.yml structure

• Managing multi-container apps

• Volumes & environment variables

• Compose up/down/restart logs

• Assignments:

• Containerize a Node.js/Java/Python app

• Dockerize MySQL with persistent volume

• Docker Compose: Nginx + App + DB

Part 2: Kubernetes – CKA Aligned (50+ Hours)

Programme Sections

100% Practical · Unlimited Doubt Sessions

• Kubernetes architecture: master & worker nodes

• kubelet

kube-apiserver

etcd

controller-manager

scheduler

• Pods

ReplicaSets

Deployments

• Labels

Selectors

Namespaces

• Deploy pods and manage replicas

• Label-based pod selection

• Create multiple namespaces and isolate resources

• ConfigMaps and Secrets

• Environment variables from ConfigMaps

• Mounting ConfigMaps/Secrets as volumes

• Resource limits (CPU/memory)

• Inject secrets into pods securely

• Control pod resource usage with limits

• Manual pod scheduling

• Taints and tolerations

• NodeSelector

affinity & anti-affinity

• DaemonSets

static pods

• Labs:

• Schedule pods on specific nodes using labels

• Configure DaemonSets for node monitoring

•

• Module 8: Networking (CKA Domain 4)

• Kubernetes networking model

• Services: ClusterIP

NodePort

LoadBalancer

• DNS

headless services

• NetworkPolicies (calico/weave)

• Ingress Controllers (NGINX)

• Labs:

• Expose app using Service and Ingress

• Apply NetworkPolicy to restrict traffic

• Volumes

emptyDir

hostPath

• PersistentVolumes and PersistentVolumeClaims

• Storage Classes and dynamic provisioning

• Attach persistent volume to a MySQL pod

• Test ReadWriteMany (RWX) storage with NFS

• Logging architecture

• kubectl logs

events

and describe

• Monitoring with Prometheus & Grafana

• Metrics Server

• Setup metrics-server for HPA

• View pod logs

restart crashloop containers

• OS-level patching

• Certificate management (kubeadm)

• Backup & restore etcd

• Upgrade Kubernetes cluster

• Backup and restore etcd manually

• Rotate Kubernetes certificates

• Role-Based Access Control (RBAC)

• ServiceAccounts and Security Context

• Pod Security Policies (PSP)

• Network Policies revisited

• Create roles and rolebindings

• Limit pod access using security Context

• Debugging pod startup issues

• Network troubleshooting (DNS, connectivity)

• Node failures

• Resource bottlenecks

• Analyze CrashLoopBackOff errors

• Use kubectl exec and logs for RCA

Project 1: Production-Grade App Deployment

• Dockerize app + Deploy using K8s + Expose via Ingress

• Use secrets, HPA, and persistent storage

Project 2: CI/CD on Kubernetes

• Deploy Jenkins in Kubernetes

• Auto-deploy app using Jenkins + GitHub + Docker

Project 3: Secure & Scalable Kubernetes Cluster

• Implement RBAC, NetworkPolicy, TLS

• Setup monitoring and alerting with Prometheus/Grafana

• Docker, Docker Compose, containerd

• Kubernetes (kubeadm/kubectl/kubectl-debug)

• Helm (Intro level)

• Prometheus, Grafana, Metrics Server

• NGINX Ingress Controller

• Calico/Weave Networking

• 70+ hours instructor-led/practical training

• 3 real-time projects

• CKA-aligned assignments for each module

• Resume & interview prep

• CKA practice exam simulator support

Terraform Job-Oriented Training Syllabus (40–50 Hours)

Programme Sections

100% Practical · Unlimited Doubt Sessions

Job-Oriented Terraform Training Syllabus designed for Cloud

DevOps

and

Infrastructure Engineers. It’s hands-on and aligned with real-time scenarios

multicloud provisioning

and team-based collaboration

covering from basics to advanced infrastructure automation with projects and DevOps integrations.

• What is Infrastructure as Code (IaC)?

• Terraform vs CloudFormation vs ARM

• Terraform features & architecture

• Installing Terraform on Linux/Windows

Hands-On Practice

› Hands-on: • Install Terraform and deploy a test resource in AWS

• Terraform CLI workflow: init, plan, apply, destroy

• Terraform directory structure and workspace concept

• Providers & backend overview

• Resource, variable, output, data, locals blocks

Hands-On Practice

› Hands-on: • Create AWS VPC, subnet, and EC2 instance using variables and outputs

• Input variables: types, defaults, descriptions

• Variable files & dynamic assignment

• Data sources: usage and dependencies

• Output values and formatting

Hands-On Practice

› Hands-on: • Use AWS AMI as a data source and deploy an EC2 instance
› Hands-on: • Output public IP and instance tags

• Understanding terraform.tfstate

• terraform state commands

• Remote backends: S3 + DynamoDB + GCS + Azure Blob

• State locking and file consistency

• Workspaces (multi-env: dev, qa, prod)

Hands-On Practice

› Hands-on: • Configure remote backend with AWS S3 + DynamoDB locking

• Built-in functions: lookup, join, concat, length, toset, etc.

• count, for_each, and for expressions

• Conditional expressions and dynamic blocks

Hands-On Practice

› Hands-on: • Deploy multiple EC2s using count and for_each with dynamic tagging

• Module structure: main.tf, variables.tf, outputs.tf

• Using public modules (Terraform Registry)

• Writing reusable custom modules

• Nested modules

Hands-On Practice

› Hands-on: • Create reusable VPC + EC2 + S3 module
› Hands-on: • Deploy 3-tier architecture using modules

• Local and remote-exec provisioners

• Connection blocks (SSH, WinRM)

• depends_on, lifecycle, ignore_changes

Hands-On Practice

› Hands-on: • Install Apache on EC2 via remote-exec
› Hands-on: • Prevent resource destruction using lifecycle

• Terraform Cloud vs Terraform CLI

• Workspaces, teams, and variables in TFC

• Remote execution and state storage

• Version control integration (GitHub/GitLab)

Hands-On Practice

› Hands-on: • Connect TFC to GitHub and auto-deploy on changes

• Provision resources in AWS: EC2, S3, RDS, VPC, IAM

• Azure: Resource groups, VMs, storage, NSG

• GCP: Compute Engine, Storage Buckets, IAM

Hands-On Practice

› Hands-on: • Deploy identical infrastructure in AWS, Azure, and GCP

• Jenkins integration with Terraform

• Ansible and Terraform workflow (pre/post config)

• Docker provisioning with Terraform

• Vault secrets integration

Hands-On Practice

› Hands-on: • Create Jenkins pipeline to deploy Terraform infrastructure
› Hands-on: • Pull secrets from Vault to provision EC2

• Input validation

• Sensitive values and secrets management

• Terraform validate, fmt, graph, taint

• Using tflint and checkov for security scans

Hands-On Practice

› Hands-on: • Write policies to prevent open S3 buckets
› Hands-on: • Lint Terraform code and fix errors

• Debugging and log tracing

• Handling dependency and version conflicts

• Code structuring tips

• Team workflows and GitOps

Hands-On Practice

› Hands-on: • Resolve broken module dependency
› Hands-on: • Refactor spaghetti Terraform codebase

Project 1: AWS Highly Available Web App Deployment

• VPC with public/private subnets, EC2, ALB, Auto Scaling, RDS

• Remote state backend, multiple modules, Jenkins pipeline

Project 2: Azure AKS Cluster with Terraform + Ansible

• Provision AKS using Terraform

• Configure K8s cluster using Ansible and kubectl via remote-exec

Project 3: Multi-Cloud S3/GCS Storage & Alerting

• Deploy S3/GCS with alerting, tagging, encryption, versioning

• Terraform Associate (HashiCorp Certified) preparation tips

• 30+ real-world scenarios with solutions

• Mock interview questions & GitHub resume portfolio

• 50+ hours instructor-led/practical training

• 3 real-world projects

• 30+ scripts, modules, and assignments

• Resume, GitHub repo, and certification prep support

Tools & Technologies

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

Terraform

Linux

AWS

Docker

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

Networking

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

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

AWS

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

Terraform

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

Networking

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

Git

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

1. Version Control & Source Code Management

Git

Covered in 1. Version Control & Source Code Management

GitLab

Covered in 1. Version Control & Source Code Management

GitHub

Covered in 1. Version Control & Source Code Management

CI/CD

Covered in 1. Version Control & Source Code Management

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

Git

Covered in 4. GitOps and Deployment Automation

5. Secrets & Configuration Management

Ansible

Covered in 5. Secrets & Configuration Management

Jenkins

Covered in 5. Secrets & Configuration Management

Docker

Covered in 5. Secrets & Configuration Management

6. Monitoring & Logging

Prometheus

Covered in 6. Monitoring & Logging

Grafana

Covered in 6. Monitoring & Logging

Elasticsearch

Covered in 6. Monitoring & Logging

Jenkins

Covered in 6. Monitoring & Logging

7. Artifact Management

Docker

Covered in 7. Artifact Management

Jenkins

Covered in 7. Artifact Management

CI/CD

Covered in 7. Artifact Management

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

Terraform

Covered in 11. ChatOps and Collaboration

Grafana

Covered in 11. ChatOps and Collaboration

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

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)

Python

Covered in 17. ChatOps (Slack / Microsoft Teams)

Docker

Covered in 17. ChatOps (Slack / Microsoft Teams)

AWS

Covered in 17. ChatOps (Slack / Microsoft Teams)

Kubernetes

Covered in 17. ChatOps (Slack / Microsoft Teams)

Part 1: Docker & Container Fundamentals (15 Hours)

Docker

Covered in Part 1: Docker & Container Fundamentals (15 Hours)

Node.js

Covered in Part 1: Docker & Container Fundamentals (15 Hours)

Python

Covered in Part 1: Docker & Container Fundamentals (15 Hours)

MySQL

Covered in Part 1: Docker & Container Fundamentals (15 Hours)

Part 2: Kubernetes – CKA Aligned (50+ Hours)

Kubernetes

Covered in Part 2: Kubernetes – CKA Aligned (50+ Hours)

Docker

Covered in Part 2: Kubernetes – CKA Aligned (50+ Hours)

Prometheus

Covered in Part 2: Kubernetes – CKA Aligned (50+ Hours)

Networking

Covered in Part 2: Kubernetes – CKA Aligned (50+ Hours)

Terraform Job-Oriented Training Syllabus (40–50 Hours)

Terraform

Covered in Terraform Job-Oriented Training Syllabus (40–50 Hours)

AWS

Covered in Terraform Job-Oriented Training Syllabus (40–50 Hours)

Azure

Covered in Terraform Job-Oriented Training Syllabus (40–50 Hours)

GitHub

Covered in Terraform Job-Oriented Training Syllabus (40–50 Hours)

10+

Tools & Libraries

1023+

Hands-On Topics

170

Total Modules

Programme Sections

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

A combined capstone project across all 36 sections — the same way you'd apply these skills on the job.

PROJECT // 01

→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

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

→1. Version Control & Source Code Management

→2. Continuous Integration/Delivery Jenkins

→3. Containerization & Orchestration

→4. GitOps and Deployment Automation

→5. Secrets & Configuration Management

→6. Monitoring & Logging

→7. Artifact Management

→8. Agile and Ticketing Tools

→9. Infrastructure as Code

→10. DevOps in Cloud Pipelines

→11. ChatOps and Collaboration

→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)

→Part 1: Docker & Container Fundamentals (15 Hours)

→Part 2: Kubernetes – CKA Aligned (50+ Hours)

→Terraform Job-Oriented Training Syllabus (40–50 Hours)

Capstone Project Combined

Apply everything you learn across LINUX | AWS | DEVOPS | PYTHON | DOCKER & KUBERNETES | TERRAFORM – COMBO, 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, AWS Cloud Administration – Basic to Advanced Training (80–100 Hours) and 31 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 Terraform Jenkins Git Kubernetes Ansible Python Linux Azure

Hands-on Practice Areas

Hands-on Practice: LINUX | AWS | DEVOPS | PYTHON | DOCKER & KUBERNETES | TERRAFORM – COMBO 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: AWS Cloud Administration – Basic to Advanced Training (80–100 Hours) Hands-on Practice: 1. Version Control & Source Code Management Hands-on Practice: 2. Continuous Integration/Delivery Jenkins Hands-on Practice: 3. Containerization & Orchestration Hands-on Practice: 4. GitOps and Deployment Automation Hands-on Practice: 5. Secrets & Configuration Management Hands-on Practice: 6. Monitoring & Logging Hands-on Practice: 7. Artifact Management 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: 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: Part 1: Docker & Container Fundamentals (15 Hours) Hands-on Practice: Part 2: Kubernetes – CKA Aligned (50+ Hours) Hands-on Practice: Terraform Job-Oriented Training Syllabus (40–50 Hours)

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

See Sample Project Reports

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