Bonus: 10 Simulation Scenarios for Interviews/Labs

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 5 to 8

Module 5: Networking (VPC, Subnets, Route 53) (10 Hours) • 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 Assignment: • Launch a VPC with 2-tier architecture. • Configure Route 53 with custom domain and failover policy. Module 6: Monitoring, Logs & Audit (8 Hours) • AWS CloudWatch (metrics, logs, dashboards, alarms) • CloudTrail for auditing API activity • EC2 log monitoring • Custom metrics and log groups Assignment: • Create CPU alarm for EC2. • Monitor login activities via CloudTrail. Module 7: Security, Compliance & Backup (6 Hours) • AWS KMS and encryption at rest/in-transit • AWS Backup service • Security Hub, GuardDuty basics • Inspector, WAF, Shield (overview) Assignment: • Enable GuardDuty and investigate alerts. • Schedule backup jobs using AWS Backup. Module 8: RDS & Databases (6 Hours) • RDS instance launch (MySQL, PostgreSQL) • Subnet group and parameter group • Automated backups and snapshots • Multi-AZ vs Read Replicas • Amazon Aurora basics Assignment: • Deploy and connect to RDS from EC2. • Restore RDS from snapshot.

Task Domain – L1 – L2 – L3 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 – NA – Budget alerts – Cost optimization, reserved planning

• Docker & Kubernetes training syllabus aligned with the Certified Kubernetes Administrator (CKA) exam by the Cloud Native Computing Foundation (CNCF). This training is designed to cover all official CKA domains with deep hands-on labs using Docker, containerd, and Kubernetes. • Docker & Kubernetes Training Syllabus (CKA Aligned – 70+ Hours) • 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

Combo Program

★★★★★

(2,088 ratings) 50,000+ Student

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

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.

Radical Technologies

50,000+ English 95 Modules · 15 Sections

Online / Classroom

Phase 1: Red Hat Linux Basics (RHCSA - Level 1) Duration: 40 Hours + Phase 1: Red Hat Linux Basics (RHCSA - Level 1) + Phase 2: Red Hat Linux Advanced (RHCE - Level 2) Duration: 40 Hours + Phase 2: Red Hat Linux Advanced (RHCE - Level 2) + Phase 3: Automation with Ansible (RHCE + DevOps Ready) Duration: 20 Hours + 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) + Part 2: Kubernetes – CKA Aligned (50+ Hours)

Sections Included 15 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 Kubernetes Git Python Ansible Linux Azure

Next batch: Contact us ·

Call Now

100% placement assistance

Enquire Now

Get course fees, batch dates & a callback

We never share your details.

What you'll learn

Module 1: Introduction & Installation

Module 2: Filesystem Navigation & File Handling

Module 6: Process & Job Scheduling

Module 7: Networking Basics

Module 1: Bash Shell Scripting

Module 2: Network Services Configuration

Module 5: NTP, Chrony & Time Sync

Module 6: Performance & System Monitoring

Module 1: Introduction to Ansible

Module 2: Ansible Playbooks

Programme Overview

95 modules across Phase 1: Red Hat Linux Basics (RHCSA - Level 1) Duration: 40 Hours, Phase 1: Red Hat Linux Basics (RHCSA - Level 1), Phase 2: Red Hat Linux Advanced (RHCE - Level 2) Duration: 40 Hours, Phase 2: Red Hat Linux Advanced (RHCE - Level 2), Phase 3: Automation with Ansible (RHCE + DevOps Ready) Duration: 20 Hours, 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), Part 2: Kubernetes – CKA Aligned (50+ Hours) — a single, progressive learning arc from foundational concepts to real-world projects.

Programme Sections

Total Modules

1004

Total Topics

4.8★

Average Rating

50K+

Students Trained

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

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

Master the core concepts and hands-on skills of Phase 1: Red Hat Linux Basics (RHCSA - Level 1) — 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 2: Red Hat Linux Advanced (RHCE - Level 2)

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

Module 5: NTP, Chrony & Time Sync Module 6: Performance & System Monitoring Module 7: System Security & Auditing

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.

AWS Jenkins Git

1. Git, GitHub, GitLab, Bitbucket & 2. Jenkins (CI/CD Automation)

Master the core concepts and hands-on skills of 1. Git, GitHub, GitLab, Bitbucket & 2. Jenkins (CI/CD Automation) — from fundamentals to real-world application.

Jenkins Git 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

15 sections • 95 modules • 1004 topics

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

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

Programme Sections

100% Practical · Unlimited Doubt Sessions

• 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

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

Programme Sections

100% Practical · Unlimited Doubt Sessions

• 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.

B. Network Configuration & Troubleshooting

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/.

C. Storage & File System Tasks

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.

D. Security & Compliance Tasks

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.

E. Process & Service-Level Troubleshooting

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.

F. Performance & Monitoring

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.

G. Backup, Recovery & Automation

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.

I. Miscellaneous Real-Time Tasks

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

Tools Covered: AWS CLI, IAM, EC2, VPC, S3, CloudWatch, CloudTrail, Route 53, RDS, Backup, Lambda, etc.

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

• 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)

• IAM users, groups, and roles

• IAM policies (JSON policy structure)

• MFA setup and best practices

• IAM roles for EC2, Lambda

• Resource access delegation

Module 3: Amazon EC2 & AMIs (12 Hours)

• 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)

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

• 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: • Create IAM policy to restrict S3 and EC2 access.
› Hands-on: • Assign role to EC2 instance to access S3 bucket.
› Hands-on: • Launch 2-tier app (web & DB) on EC2.
› Hands-on: • Backup & restore an EC2 with AMI.
› Hands-on: • Host a static website on S3 with custom domain.
› Hands-on: • Configure lifecycle policy to move objects to Glacier.

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

• 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

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

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

• CloudTrail for auditing API activity

• EC2 log monitoring

• Custom metrics and log groups

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

• AWS KMS and encryption at rest/in-transit

• AWS Backup service

• Security Hub, GuardDuty basics

• Inspector, WAF, Shield (overview)

Assignment:

• Enable GuardDuty and investigate alerts.

• Schedule backup jobs using AWS Backup.

Module 8: RDS & Databases (6 Hours)

• 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: • Launch a VPC with 2-tier architecture.
› Hands-on: • Configure Route 53 with custom domain and failover policy.
› Hands-on: • Create CPU alarm for EC2.
› Hands-on: • Monitor login activities via CloudTrail.
› Hands-on: • Deploy and connect to RDS from EC2.
› Hands-on: • Restore RDS from snapshot.

Module 9: Automation & Management (10 Hours)

• 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)

Module 10: High Availability & Scalability (6 Hours)

• Elastic Load Balancer (ALB, NLB)

• Auto Scaling Groups

• Launch templates and health checks

• Multi-AZ setup for EC2 & RDS

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

• 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

Hands-On Practice

› Hands-on: • Write CLI script to create EC2 and attach volume.
› Hands-on: • Use SSM to patch multiple EC2s.
› Hands-on: • Create HA web tier with ALB + ASG.
› Hands-on: • Configure scaling policy based on CPU.

Capstone Projects (Choose 1 or more)

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

Training Deliverables

• 100+ Hands-on Labs & Assignments

• 30+ Real-Time Scenarios

• 20+ Troubleshooting Exercises

• Resume Projects + Certification Guidance

• AWS Free Tier Setup Support

Level Title

L1 Cloud Support Associate

Exp 0–1 years

L2 Cloud Support Engineer Exp 2–4 years

L3 Cloud Architect / Sr.

Admin Exp 5+ years

Focus

L1 Basic monitoring, support ticket handling

L2 Configuration, automation, issue resolution

L3 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	L1	L2	L3
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	NA	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

Git

• Basics: init, clone, commit, push/pull, branches, merge

• Conflict resolution, cherry-pick, rebase

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

GitHub / GitLab / Bitbucket

• Repo management, Webhooks

• Issues, Projects, Actions/Pipelines

• CI/CD integration

Lab: Set up Git workflow, merge conflicts

Project: Configure GitHub/GitLab for team collaboration with CI/CD triggers

2. Continuous Integration/Delivery

Jenkins

• Installation, master-agent architecture

• Freestyle & pipeline jobs (Scripted/Declarative)

• Jenkinsfile, parameterized builds

• Integration with Git, Docker, Nexus, Ansible

Lab: Jenkins CI pipeline to build/test Java app

Project: Jenkins → Build Docker image → Push to Nexus → Deploy with Ansible

3. Containerization & Orchestration

Docker

• Dockerfile, images, containers, volumes, networking

• Compose and multi-container applications

Kubernetes

• Pods, Deployments, Services, ConfigMaps, Secrets

• Helm, RBAC, Ingress, Namespaces, Volumes

• Kubernetes Dashboard and K9s

Lab: Containerize app, push to DockerHub, deploy via kubectl

Project: Full CI/CD with Jenkins → Docker → K8s via Helm

4. GitOps and Deployment Automation

Argo CD

• GitOps architecture, application deployment

• Sync, rollback, hooks, SSO/RBAC

Helm

• Install charts, chart structure, upgrades, values

Lab: Argo CD auto-sync with Git-managed K8s manifests

Project: Deploy Helm chart apps with Argo CD GitOps model

5. Secrets & Configuration Management

HashiCorp Vault

• Secrets engines, auth methods, policies, audit logs

Ansible

• Inventory, playbooks, roles, vault, modules

• Cloud provisioning, app config, Docker/K8s automation

Lab: Use Vault to provide secrets in Jenkins & Ansible

Project: Ansible playbook to configure a 3-tier architecture, secrets via Vault

6. Monitoring & Logging

ELK Stack

• Elasticsearch, Logstash, Kibana basics

• Centralized log analysis from K8s, Jenkins, Docker

Prometheus & Grafana

• Node exporter, K8s metrics, custom dashboards, alerts

Lab: Configure Filebeat → Logstash → Kibana

Project: Monitor app metrics in Prometheus; visualize with Grafana

7. Artifact Management

Nexus Repository Manager

• Hosted, proxy, group repositories for Maven, Docker, Helm

• Role-based access

Lab: Upload Docker/Maven artifact; configure pull in Jenkins

Project: Full CI/CD flow with Nexus as artifact store

8. Agile and Ticketing Tools

Jira

• Projects, Epics, Sprints, Boards

• Jira-GitHub/Jenkins integrations

• Reports and team velocity

Lab: Create automated workflows using Jira smart commits

Project: Link Jira tickets with Git commits and Jenkins builds

9. Infrastructure as Code

Terraform

• Providers, resources, variables, modules, workspaces

• AWS, Azure, K8s provisioning

• Terraform Cloud

Lab: Deploy AWS EC2 with VPC using Terraform

Project: Full IaC setup for K8s cluster with Terraform + Helm

10. DevOps in Cloud Pipelines

Azure DevOps

• Repos, Pipelines, Artifacts, Releases, Boards

AWS CodePipeline

• CodeCommit, CodeBuild, CodeDeploy orchestration

• Manual approvals, rollback

Lab: Deploy app via Azure DevOps YAML pipeline

Project: CI/CD pipeline on AWS using CodePipeline for Dockerized app

11. ChatOps and Collaboration

ChatOps (Slack/MS Teams + Bots)

• Integrate Jenkins, GitHub, Argo CD, and Prometheus alerts

• Build your own chatbot with Webhooks/API

Lab: Configure Slack notifications for Jenkins/Argo CD

Project: Trigger deployment via Slack command using Webhooks

Capstone Projects (Choose 1–2)

• 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

• Lab Exercises: 30+

• Real-World Projects: 3–5

1. Git, GitHub, GitLab, Bitbucket & 2. Jenkins (CI/CD Automation)

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.

• 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 & 4. Kubernetes

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.

• 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 & 6. ELK Stack (Elasticsearch, Logstash, Kibana)

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.

• 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) & 8. Jira

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.

• 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 , 10. Helm , 11. Ansible

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.

• 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.

• 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 , 13. Vault (Secret Management) ,14. Prometheus

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.

• (Also covered under HashiCorp Vault above)

• 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 , 16. Azure DevOps / AWS CodePipeline, 17. ChatOps (Slack / Microsoft Teams)

Programme Sections

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.

• 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.

• 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.

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 for AWS, Linux & DevOps Engineers – 60 Hours Practical 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.

Module 1: Core Python Programming (6 Hours)

• 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

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

• 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

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

• 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

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

• 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

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

• 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

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

• 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)

Module 7: CLI & Tool Development (4 Hours)

• 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

Module 8: Projects & Capstone Labs (10 Hours)

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

Tools & Libraries Used

• 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

• 60+ hours of training

• 15+ real-time automation scripts

• 4 major projects with documentation

• Resume & interview guidance

• GitHub-ready portfolio

• Docker & Kubernetes training syllabus aligned with the Certified Kubernetes Administrator (CKA) exam by the Cloud Native Computing Foundation

(CNCF). This training is designed to cover all official CKA domains with deep

• Docker & Kubernetes Training Syllabus (CKA Aligned – 70+ Hours)

• 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

Hands-On Practice

› hands-on labs using Docker, containerd, and Kubernetes.

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

• 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

• Labs:

• 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

• Module 7: Pod Scheduling (CKA Domain 3)

• 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

• 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

• Module 9: Storage (CKA Domain 5)

• Volumes

emptyDir

hostPath

• PersistentVolumes and PersistentVolumeClaims

• Storage Classes and dynamic provisioning

• Labs:

• Attach persistent volume to a MySQL pod

• Test ReadWriteMany (RWX) storage with NFS

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

Programme Sections

100% Practical · Unlimited Doubt Sessions

• 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 securityContext

• Debugging pod startup issues

• Network troubleshooting (DNS, connectivity)

• Node failures

• Resource bottlenecks

• Analyze CrashLoopBackOff errors

• Use kubectl exec and logs for RCA

• CKA exam overview and strategy

• Killer.sh and CNCF exam simulator walkthrough

• 20 exam-style questions & scenarios

• Time-saving CLI aliases and kubectl tricks

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

Tools & Technologies Covered

• Docker, Docker Compose, containerd

• Kubernetes (kubeadm/kubectl/kubectl-debug)

• Helm (Intro level)

• Prometheus, Grafana, Metrics Server

• NGINX Ingress Controller

• Calico/Weave Networking

Deliverables

• 70+ hours instructor-led/practical training

• 3 real-time projects

• CKA-aligned assignments for each module

• Resume & interview prep

• CKA practice exam simulator support

Job-Oriented Terraform Training Syllabus designed for Cloud, DevOps, and Infrastructure Engineers. It’s hands-on and aligned with real-time scenarios, multi cloud provisioning, and team-based collaboration, covering from basics to advanced infrastructure automation with projects and DevOps integrations.

Audience: DevOps Engineers, Cloud Admins, SREs, Infra Engineers

Tools: AWS, Azure, GCP, GitHub, Jenkins, Terraform Cloud, Vault, Ansible, Docker

Module 1: Introduction to IaC & Terraform (2 Hours)

• What is Infrastructure as Code (IaC)?

• Terraform vs CloudFormation vs ARM

• Terraform features & architecture

• Installing Terraform on Linux/Windows

Module 2: Terraform Basics & Workflow (4 Hours)

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

• Terraform directory structure and workspace concept

• Providers & backend overview

• Resource, variable, output, data, locals blocks

Module 3: Variables, Data Sources & Outputs (4 Hours)

• Input variables: types, defaults, descriptions

• Variable files & dynamic assignment

• Data sources: usage and dependencies

• Output values and formatting

Hands-On Practice

› Hands-on: • Install Terraform and deploy a test resource in AWS
› Hands-on: • Create AWS VPC, subnet, and EC2 instance using variables and outputs
› Hands-on: • Use AWS AMI as a data source and deploy an EC2 instance
› Hands-on: • Output public IP and instance tags

Module 4: State Management & Backend (5 Hours)

• Understanding terraform.tfstate

• terraform state commands

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

• State locking and file consistency

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

Module 5: Terraform Functions, Loops & Conditionals (4 Hours)

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

• count, for_each, and for expressions

• Conditional expressions and dynamic blocks

Module 6: Terraform Modules (5 Hours)

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

• Using public modules (Terraform Registry)

• Writing reusable custom modules

• Nested modules

Hands-On Practice

› Hands-on: • Configure remote backend with AWS S3 + DynamoDB locking
› Hands-on: • Deploy multiple EC2s using count and for_each with dynamic tagging
› Hands-on: • Create reusable VPC + EC2 + S3 module
› Hands-on: • Deploy 3-tier architecture using modules

Module 7: Terraform Provisioners & Meta-Arguments (4 Hours)

• Local and remote-exec provisioners

• Connection blocks (SSH, WinRM)

• depends_on, lifecycle, ignore_changes

Module 8: Terraform Cloud & Collaboration (3 Hours)

• Terraform Cloud vs Terraform CLI

• Workspaces, teams, and variables in TFC

• Remote execution and state storage

• Version control integration (GitHub/GitLab)

Module 9: Terraform with AWS, Azure & GCP (6 Hours)

• 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: • Install Apache on EC2 via remote-exec
› Hands-on: • Prevent resource destruction using lifecycle
› Hands-on: • Connect TFC to GitHub and auto-deploy on changes
› Hands-on: • Deploy identical infrastructure in AWS, Azure, and GCP

Module 10: Terraform with DevOps Tools (5 Hours)

• Jenkins integration with Terraform

• Ansible and Terraform workflow (pre/post config)

• Docker provisioning with Terraform

• Vault secrets integration

Module 11: Security, Validation & Testing (2 Hours)

• Input validation

• Sensitive values and secrets management

• Terraform validate, fmt, graph, taint

• Using tflint and checkov for security scans

Module 12: Troubleshooting, Optimization & Best Practices (2 Hours)

• Debugging and log tracing

• Handling dependency and version conflicts

• Code structuring tips

• Team workflows and GitOps

Hands-On Practice

› Hands-on: • Create Jenkins pipeline to deploy Terraform infrastructure
› Hands-on: • Pull secrets from Vault to provision EC2
› Hands-on: • Write policies to prevent open S3 buckets
› Hands-on: • Lint Terraform code and fix errors
› Hands-on: • Resolve broken module dependency
› Hands-on: • Refactor spaghetti Terraform codebase

Capstone Projects (5–7 Hours)

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

Certification & Interview Support

• Terraform Associate (HashiCorp Certified) preparation tips

• 30+ real-world scenarios with solutions

• Mock interview questions & GitHub resume portfolio

Deliverables

• 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.

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

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

Linux

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

Networking

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

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 2: Red Hat Linux Advanced (RHCE - Level 2)

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

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

AWS

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

Jenkins

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

Git

Covered in 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

1. Git, GitHub, GitLab, Bitbucket & 2. Jenkins (CI/CD Automation)

Jenkins

Covered in 1. Git, GitHub, GitLab, Bitbucket & 2. Jenkins (CI/CD Automation)

Git

Covered in 1. Git, GitHub, GitLab, Bitbucket & 2. Jenkins (CI/CD Automation)

GitHub

Covered in 1. Git, GitHub, GitLab, Bitbucket & 2. Jenkins (CI/CD Automation)

Bitbucket

Covered in 1. Git, GitHub, GitLab, Bitbucket & 2. Jenkins (CI/CD Automation)

3. Docker & 4. Kubernetes

Docker

Covered in 3. Docker & 4. Kubernetes

Kubernetes

Covered in 3. Docker & 4. Kubernetes

5. HashiCorp Vault & 6. ELK Stack (Elasticsearch, Logstash, Kibana)

Elasticsearch

Covered in 5. HashiCorp Vault & 6. ELK Stack (Elasticsearch, Logstash, Kibana)

Kubernetes

Covered in 5. HashiCorp Vault & 6. ELK Stack (Elasticsearch, Logstash, Kibana)

Jenkins

Covered in 5. HashiCorp Vault & 6. ELK Stack (Elasticsearch, Logstash, Kibana)

Ansible

Covered in 5. HashiCorp Vault & 6. ELK Stack (Elasticsearch, Logstash, Kibana)

7. Argo CD (GitOps) & 8. Jira

JIRA

Covered in 7. Argo CD (GitOps) & 8. Jira

Git

Covered in 7. Argo CD (GitOps) & 8. Jira

Kubernetes

Covered in 7. Argo CD (GitOps) & 8. Jira

CI/CD

Covered in 7. Argo CD (GitOps) & 8. Jira

9. Nexus Repository Manager , 10. Helm , 11. Ansible

Ansible

Covered in 9. Nexus Repository Manager , 10. Helm , 11. Ansible

Jenkins

Covered in 9. Nexus Repository Manager , 10. Helm , 11. Ansible

Git

Covered in 9. Nexus Repository Manager , 10. Helm , 11. Ansible

Kubernetes

Covered in 9. Nexus Repository Manager , 10. Helm , 11. Ansible

12. Terraform , 13. Vault (Secret Management) ,14. Prometheus

Terraform

Covered in 12. Terraform , 13. Vault (Secret Management) ,14. Prometheus

Azure

Covered in 12. Terraform , 13. Vault (Secret Management) ,14. Prometheus

Prometheus

Covered in 12. Terraform , 13. Vault (Secret Management) ,14. Prometheus

Jenkins

Covered in 12. Terraform , 13. Vault (Secret Management) ,14. Prometheus

15. Grafana , 16. Azure DevOps / AWS CodePipeline, 17. ChatOps (Slack / Microsoft Teams)

Python

Covered in 15. Grafana , 16. Azure DevOps / AWS CodePipeline, 17. ChatOps (Slack / Microsoft Teams)

Docker

Covered in 15. Grafana , 16. Azure DevOps / AWS CodePipeline, 17. ChatOps (Slack / Microsoft Teams)

Kubernetes

Covered in 15. Grafana , 16. Azure DevOps / AWS CodePipeline, 17. ChatOps (Slack / Microsoft Teams)

AWS

Covered in 15. Grafana , 16. Azure DevOps / AWS CodePipeline, 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)

Networking

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

MySQL

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

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

Terraform

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

AWS

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

Kubernetes

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

Jenkins

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

10+

Tools & Libraries

1004+

Hands-On Topics

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 15 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 1: Red Hat Linux Basics (RHCSA - Level 1)

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

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

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

→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)

Capstone Project Combined

Apply everything you learn across Phase 1: Red Hat Linux Basics (RHCSA - Level 1) Duration: 40 Hours, Phase 1: Red Hat Linux Basics (RHCSA - Level 1), Phase 2: Red Hat Linux Advanced (RHCE - Level 2) Duration: 40 Hours, Phase 2: Red Hat Linux Advanced (RHCE - Level 2), Phase 3: Automation with Ansible (RHCE + DevOps Ready) Duration: 20 Hours and 10 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 Kubernetes Git Python Ansible Linux Azure

Hands-on Practice Areas

Hands-on Practice: Phase 1: Red Hat Linux Basics (RHCSA - Level 1) Duration: 40 Hours Hands-on Practice: Phase 1: Red Hat Linux Basics (RHCSA - Level 1) Hands-on Practice: Phase 2: Red Hat Linux Advanced (RHCE - Level 2) Duration: 40 Hours Hands-on Practice: Phase 2: Red Hat Linux Advanced (RHCE - Level 2) Hands-on Practice: Phase 3: Automation with Ansible (RHCE + DevOps Ready) Duration: 20 Hours Hands-on Practice: 1. Git, GitHub, GitLab, Bitbucket & 2. Jenkins (CI/CD Automation) Hands-on Practice: 3. Docker & 4. Kubernetes Hands-on Practice: 5. HashiCorp Vault & 6. ELK Stack (Elasticsearch, Logstash, Kibana) Hands-on Practice: 7. Argo CD (GitOps) & 8. Jira Hands-on Practice: 9. Nexus Repository Manager , 10. Helm , 11. Ansible Hands-on Practice: 12. Terraform , 13. Vault (Secret Management) ,14. Prometheus Hands-on Practice: 15. Grafana , 16. Azure DevOps / AWS CodePipeline, 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: Part 2: Kubernetes – CKA Aligned (50+ Hours)

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

See Sample Project Reports

Upcoming Batches

No upcoming batches scheduled right now. Enquire to get notified.

Why Radical Technologies

Live Online Training

Highly practical oriented training
Installation support on your system
24/7 Email and Phone support
100% Placement Assistance
Global Certification Preparation
Trainer-Student Interactive Portal
Assignments and Projects by Mentors

Live Classroom Training

Weekend / Weekdays / Morning / Evening batches
80:20 Practical and Theory ratio
Real-life Case Studies
Easy make-up for missed sessions
PSI | Kryterion | Redhat Test Centers
Lifetime Video Classroom Access (coming soon)
Resume Prep and Mock Interviews

Self-Paced Training

Learn 300+ courses at your own time
50,000+ Satisfied Learners
Course Completion Certificate
Practical Labs available
Mentor Support available
Doubt Clearing Session available
10% Discounted Global Certification

Like the Curriculum? Let's Get Started

Join 50,000+ students already enrolled at Radical Technologies

Enroll Now

Global Certification

Radical Technologies is the leading IT certification institute in Kochi, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.

Career Support

Course Completed? Need next steps?

Need Interview Supports?

Need Job Assistance?

Came from any other Institute?

Join our Brush-up Session & get support until you find a job!

Get Started

Radical Learning Eco-System

Exam Simulator

Cloud SandBox

Hands-on Cloud Lab

Developer Coding Ground

Student Reviews

4.8★

Average learner rating

50K+

Students trained

30+

Hiring companies alumni work at

100%

Placement assistance

4.8

★★★★★

Course Rating

★★★★★

85%

★★★★☆

12%

★★★☆☆

★★☆☆☆

★☆☆☆☆

Our Alumni Work At

Linux | Cloud | Devops | Python | Docker & Kubernetes | Terraform – Combo Course Certification With Training In Kochi

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

Module 1: Introduction & Installation • Linux History & Architecture • CLI vs GUI • RHEL Installation (manual & automated) • Virtualization tools (VirtualBox, KVM) Module 2: Filesystem Navigation & File Handling • File system hierarchy (FHS) • Important directories: /etc, /var, /home, /proc, /tmp • File manipulation: cp, mv, rm, touch, cat, vim, nano • Wildcards, find, locate, grep, cut, sort Module 3: User and Group Management • 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 Module 4: Package Management • RPM and YUM/DNF • Repositories: local and remote • Installing, removing, updating packages • Managing package groups Module 5: File System & Storage Management • Partitioning: fdisk, parted • Mounting filesystems: mount, umount • LVM Concepts: PV, VG, LV • Filesystem types: ext4, XFS • File system repair: fsck • Automounting using /etc/fstab

Q: Phase 1: Red Hat Linux Basics (RHCSA - Level 1)

Module 6: Process & Job Scheduling • Managing processes: ps, top, htop, kill, nice • Background and foreground jobs • cron, crontab, at, systemd timers Module 7: Networking Basics • ip, nmcli, hostnamectl • Setting static IPs • DNS client configuration • Testing: ping, netstat, ss, traceroute, curl Module 8: Logging & Boot Management • System logs: journalctl, /var/log/* • systemd & targets • GRUB2 bootloader • Rescue mode and emergency mode Module 9: SELinux & Firewall • SELinux Modes • Tools: getenforce, setenforce, semanage, restorecon • Firewalld zones, services, ports • firewall-cmd usage RHCSA Practicals & Mini Project • Install and configure a Linux server • Setup users, partitions, and firewall • Automate backups and periodic jobs • RHCSA exam simulations

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

Module 1: Bash Shell Scripting • Variables, operators • Conditional statements: if, case • Loops: for, while, until • Functions and command substitution • Automating system tasks Module 2: Network Services Configuration • 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) Module 3: Centralized Authentication (Optional) • Introduction to LDAP/IPA integration • Configure SSSD and Kerberos client Module 4: Mail Server (Optional) • Postfix MTA configuration basics • Mail logs and troubleshooting

Q: Phase 2: Red Hat Linux Advanced (RHCE - Level 2)

Module 5: NTP, Chrony & Time Sync • Configure NTP client and server • Chrony configuration and status Module 6: Performance & System Monitoring • Resource monitoring: top, iotop, vmstat, iostat • Disk usage: df, du • Troubleshooting tools: strace, lsof, tcpdump Module 7: System Security & Auditing • TCP wrappers • Security auditing using aide • Configure auditing via auditd

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

Module 1: Introduction to Ansible • Ansible architecture and installation • Inventory files, modules, ad-hoc commands Module 2: Ansible Playbooks • YAML syntax, playbook structure • Variables, facts, conditionals • Loops and handlers Module 3: Roles and Automation • Role directory structure • Templates with Jinja2 • Automating user, service, and firewall tasks Module 4: RHCE Exam-Based Playbook Scenarios • Automate Apache deployment • Configure NTP, SSH, and services with Ansible • Advanced tasks (handlers, notify, tags)

Related Combo Courses

LINUX | AWS | DEVOPS COMBO

Combo Program

LINUX | AWS | DEVOPS COMBO

In today’s rapidly evolving IT landscape, Linux, Cloud Computing, and DevOps are the backbone of modern infrastructure and application deliv...

LINUX | AWS | DEVOPS COMBO

Combo Program

LINUX | AWS | DEVOPS COMBO

In today’s rapidly evolving IT landscape, Linux, Cloud Computing, and DevOps are the backbone of modern infrastructure and application deliv...

AI & DATA SCIENCE COMBO

Combo Program

AI & DATA SCIENCE COMBO

An AI (Artificial Intelligence) and Data Science combo is a highly synergistic skill set that empowers individuals to excel in extracting va...

DATA ANALYTICS WITH GEN AI – COMBO PROGRAM

Combo Program

DATA ANALYTICS WITH GEN AI – COMBO PROGRAM

The Data Analytics with GenAI – Combo Program is designed for learners who want to combine data analytics skills with the power of Generativ...

Combo Course In Other Cities

Bangalore

Kochi

Online Batches Available For These Areas

Online / Classroom

Sections Included 15 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 Kubernetes Git Python Ansible Linux Azure

Next batch: Contact us ·

Call Now

100% placement assistance

Enquire Now

Get course fees, batch dates & a callback

We never share your details.