DevOps & AWS Course & Internship in Chennai | UNIQ Technologies

AI-Powered DevOps & AWS Training & Internship in Chennai

Master cloud automation and continuous delivery with a structured 150-day learning path covering Linux, AWS Cloud, Git, Python/Shell scripting, Jenkins, Docker, Kubernetes, Terraform, Ansible, CloudWatch and real-world DevOps projects at UNIQ Technologies.

150
Days Path
AWS Cloud
EC2, VPC, IAM, S3
Docker + K8s
Container Cluster
Jenkins + Terraform
CI/CD & IaC
devops-aws.dev
Full Stack DevelopmentLearning Path
class DevOpsEngineer {
build() {
Git Commit -> Jenkins Pipeline -> Docker Build
Terraform Apply -> Kubernetes Deploy -> CloudWatch
}
}
AWS
Cloud Infra
Docker
Containers
Kubernetes
Orchestration
CHAPTER 02Why Choose

Why Choose a DevOps & AWS Course & Internship in Chennai?

Looking for a DevOps and AWS course in Chennai that combines Linux, Cloud Computing, AWS, CI/CD, Docker, Kubernetes, Infrastructure as Code and real-world project experience? The DevOps & AWS course at UNIQ Technologies is structured to help students, freshers and working professionals build modern cloud deployment skills.

From Code Commits to Cloud Kubernetes Clusters

DevOps engineers automate continuous delivery pipelines, cloud infrastructure and container orchestration using AWS, Docker, K8s and Terraform.

01
Systems & Networking
Linux, Networking & Git
02
Cloud Infrastructure
AWS EC2, VPC, IAM, S3 & RDS
03
Automation & CI/CD
Jenkins, Docker & Kubernetes
04
IaC & Capstone Project
Terraform, Ansible & 20-Day Project
Module 01

Linux Fundamentals

Master Linux administration, user permissions, processes, environment variables and log troubleshooting.

Module 02

Networking Fundamentals

Understand TCP/IP, IP addressing, Subnets, DNS, Ports, HTTP/HTTPS and network firewalls.

Module 03

Git & GitHub

Learn version control, branching strategies, code commits, pull requests and repository workflows.

Module 04

Python & Shell Scripting

Automate repetitive sysadmin tasks and infrastructure workflows using Bash and Python scripts.

Module 05

AWS Cloud Fundamentals

Understand AWS global infrastructure, Regions, Availability Zones, AWS CLI and cloud pricing models.

Module 06

AWS EC2, VPC & IAM

Configure virtual servers, isolated cloud networks, subnets, gateways, security groups and IAM roles.

Module 07

AWS S3, RDS & Databases

Manage scalable cloud object storage, buckets, lifecycle policies, and managed relational databases.

Module 08

AWS Load Balancers & Auto Scaling

Set up Application Load Balancers, target groups, health checks and automatic scaling policies.

Module 09

Jenkins & CI/CD

Build automated Continuous Integration and Continuous Delivery pipelines with Jenkins syntax.

Module 10

Docker & Containerization

Create Dockerfiles, build container images, run containers, configure volumes and Docker Compose.

Module 11

Kubernetes Orchestration

Manage container clusters, Deployments, Pods, Services, Ingress controllers and rolling updates.

Module 12

Terraform & Ansible

Define Infrastructure as Code (IaC) with Terraform and automate server configurations with Ansible.

Module 13

Monitoring, Logging & Projects

Monitor cloud metrics with CloudWatch, master production support concepts, and build a 20-day capstone project.

💡
Program Objective

Provide a practical pathway from Linux and cloud fundamentals to container orchestration and automated infrastructure, helping learners understand end-to-end software deployment.

CHAPTER 03Eligibility

Who Can Join DevOps & AWS Training?

The program starts with core fundamentals and moves towards full stack development—designed for anyone eager to build a career in software development.

01

BE / B.Tech Graduates

Engineering graduates looking to enter Cloud, SRE and DevOps engineering.

02

BCA & MCA Graduates

Computer application graduates ready for practical AWS, Docker and CI/CD skills.

03

B.Sc & M.Sc Graduates

Science graduates interested in modern cloud infrastructure and automation.

04

Software Developers

Developers expanding into containerization, Kubernetes clusters and automated CI/CD.

05

System Administrators

SysAdmins transitioning from traditional IT management to Cloud and DevOps.

06

Linux Administrators

Linux specialists building cloud architecture, Ansible automation and Terraform IaC skills.

07

Cloud Enthusiasts

Learners focused on AWS global cloud architecture and serverless automation.

08

Final-Year Students & Freshers

Students seeking hands-on project exposure before entering the IT industry.

09

Career Switchers

Professionals looking to transition into high-growth Cloud & DevOps engineering roles.

CHAPTER 04Roadmap Syllabus

DevOps & AWS Roadmap

A structured learning path that moves from fundamentals and backend frameworks to AI, cloud concepts, professional tools and job preparation.

17
Learning Modules
100–130
Learning Days
Tech + AI
Modern Skillset
Job Ready
Career Preparation

Learning Path

Course Modules

MODULE 0110 DaysSystems Foundation

Linux Fundamentals

Linux is one of the core technologies used in DevOps and Cloud environments. Students build a strong command-line and system administration foundation.

Key Topics

What you'll learn

01
Linux Commands & Structure

File system hierarchy, directory navigation and commands

02
Permissions & Ownership

chmod, chown, user accounts and group management

03
Process & Package Management

ps, top, systemctl, system services and package managers

04
Log & Disk Management

Viewing system logs, disk space monitoring and troubleshooting

Learning Focus

Command-line proficiency enables DevOps engineers to manage remote cloud servers and containerized operating systems.

1 / 17
CHAPTER 05Course Timeline

A structured path. No rushed learning.

The learning program distributes time across programming, databases, backend development, AI, professional tools, and career preparation.

Overall Program

100
–130
Days

The duration is intentionally spread across the complete learning journey instead of compressing the syllabus into a short-term crash course.

ProgrammingDatabasesBackendAICloudCareer
01

Linux Fundamentals

Systems
10
Days
02

Networking Fundamentals

Networking
5
Days
03

Git & GitHub

Version Control
5
Days
04

Python & Shell Scripting

Automation
10
Days
05

AWS Cloud Fundamentals

Cloud
10
Days
06

AWS EC2, VPC & IAM

AWS Compute
10
Days
07

AWS S3, RDS & Storage

AWS Storage
5
Days
08

AWS Load Balancers & Auto Scaling

High Availability
5
Days
09

Jenkins & CI/CD

CI/CD
10
Days
10

Docker

Containers
10
Days
11

Kubernetes

Orchestration
15
Days
12

Terraform

IaC
10
Days
13

Ansible

Config Mgmt
5
Days
14

Monitoring & CloudWatch

Observability
5
Days
15

DevOps & Production Concepts

Operations
5
Days
16

Resume & Mock Interviews

Career Prep
5
Days
17

DevOps & AWS Capstone Project

Capstone Project
20
Days
40%

Core programming receives one of the largest portions of the learning timeline.

45–65

Approximate days across frontend, core programming, databases, and web foundations.

100–130

Overall program duration covering technical and career preparation.

CHAPTER 06Core Skills

What Skills Can You Develop During the Full Stack Internship?

Progress through the syllabus and understand how the major parts of a modern application connect—from the user interface to backend services and databases.

01Infra Layer

Cloud Infrastructure

Provision AWS cloud servers, private VPC networks, security groups and storage buckets.

AWS EC2 & VPC
IAM & S3
Terraform IaC
02Automation Layer

Build & Containers

Automate code compilation, test executions, and package container images.

Git & GitHub
Jenkins Pipelines
Docker Containers
03Deployment Layer

Orchestration & Ops

Deploy microservices across Kubernetes clusters, configure auto-scaling and monitor logs.

Kubernetes
Ansible
CloudWatch Monitoring
Beyond the Core Stack

Supporting skills for modern development

The core application stack is supplemented by exposure to modern development practices, cloud technologies, AI and software delivery tools.

01AWS EC2 / VPC / IAM
02Jenkins CI/CD
03Docker Containers
04Kubernetes Clusters
05Terraform IaC
06Ansible
07CloudWatch
CHAPTER 07Practical Training

Practical DevOps & AWS Training for Freshers

Freshers often face a particular problem when applying for their first software job: employers expect practical understanding even when candidates have no professional experience. An internship-oriented training environment helps bridge this gap.

At UNIQ Technologies, the emphasis is on learning concepts through coding and practical implementation rather than depending exclusively on theory.

Students should be able to explain:

Essential topics for fresher technical interviews

01

How to automate builds with Jenkins CI/CD

Triggering automated pipeline builds on Git pushes to compile, test, and package applications.

02

How to containerize applications using Docker

Writing multi-stage Dockerfiles and containerizing application dependencies for uniform runtimes.

03

How Kubernetes manages cluster auto-healing

Configuring Pod deployments, Services, and ingress rules that automatically recover failed containers.

04

How to provision AWS infrastructure with Terraform

Writing declarative HCL files to automate AWS VPC, EC2, and S3 provisioning in minutes.

05

How AWS Load Balancers and Auto Scaling work

Distributing incoming traffic across EC2 instances and dynamically scaling based on CPU metrics.

06

How Ansible manages server configurations

Running agentless YAML playbooks to configure hundreds of Linux servers simultaneously.

07

How CloudWatch monitors infrastructure health

Setting up metrics alarms, log groups, and notification alerts for cloud instances.

08

How to troubleshoot pipeline and cluster failures

Inspecting Jenkins console logs, kubectl describe pod commands, and AWS CloudWatch events.

CHAPTER 08Real Projects

Full Stack Projects That Connect the Full Stack

Project-based learning is an important part of becoming comfortable with Full Stack development. A practical project helps students understand how individual technologies work together as one complete application.

Project Architecture

One application. Multiple technologies. One workflow.

Full Stack Application
🐙01

Version Control

Git + GitHub

Maintain application code and trigger webhooks on new commits.

Project Layer
02

CI/CD & Containers

Jenkins + Docker

Automate test builds and create Docker container images.

Project Layer
03

Cloud Infrastructure

AWS EC2 + VPC + IAM

Provision virtual compute, isolated networks and security policies.

Project Layer
04

IaC & Orchestration

Terraform + Kubernetes

Provision infra via Terraform and deploy container clusters with K8s.

Project Layer
📈05

Monitoring & Observability

AWS CloudWatch

Track CPU/memory usage, aggregate log events and send alerts.

Project Layer
CHAPTER 09Career Pathways

DevOps & AWS Career Opportunities

Depending on skills, project knowledge, interview performance, and employer requirements, learners can explore various entry-level opportunities across the software industry.

Core#01

DevOps Engineer

Explore Role
Entry-Level#02

Junior DevOps Engineer

Explore Role
Cloud#03

AWS Cloud Engineer

Explore Role
Cloud Operations#04

Cloud Support Engineer

Explore Role
AWS Specialist#05

AWS DevOps Engineer

Explore Role
CI/CD#06

Build & Release Engineer

Explore Role
SRE#07

Site Reliability Engineer

Explore Role
IaC & Automation#08

Infrastructure Engineer

Explore Role
Scripting#09

Automation Engineer

Explore Role
Pipelines#10

CI/CD Engineer

Explore Role
Freshers#11

DevOps Intern

Explore Role
CHAPTER 10Frequently Asked Questions

Frequently Asked Questions

Everything you need to know about the internship, learning path, technologies, practical training and career preparation.

A DevOps course teaches practices and technologies used to automate software development, testing, deployment, infrastructure management and monitoring.

AWS (Amazon Web Services) is a cloud computing platform offering infrastructure, storage, databases, networking, security and cloud services.

UNIQ Technologies offers DevOps and AWS training in Chennai with a curriculum covering Linux, AWS, CI/CD, Docker, Kubernetes, Terraform and related technologies.

Yes. Freshers can learn DevOps by starting with Linux, networking, Git, scripting and cloud fundamentals before progressing to CI/CD and automation.

Yes. AWS is a major component of the proposed curriculum.

Linux is highly useful for DevOps because many servers, cloud environments and DevOps tools run on Linux-based systems.

Yes. Git and GitHub are included.

Yes. Jenkins and CI/CD are included for 10 days.

CI/CD refers to practices and automation used to continuously integrate code changes and deliver or deploy applications efficiently.

Yes. Docker is included for 10 days.

Docker is a containerization platform used to package applications and their dependencies into portable containers.

Yes. Kubernetes is included for 15 days.

Kubernetes is used to orchestrate and manage containerized applications across clusters.

Yes. Terraform is included for 10 days.

Infrastructure as Code (IaC) is the practice of defining and managing infrastructure using configuration files and automation tools such as Terraform.

Yes. Ansible is included for 5 days.

Yes. EC2 is included as part of the AWS infrastructure module.

Yes. S3 is included in the AWS storage module.

Yes. VPC concepts are included.

Yes. IAM is included for understanding identity and access management in AWS.

Yes. RDS is included as part of the AWS database module.

Yes. AWS Load Balancing concepts are included.

Yes. Auto Scaling is included.

Yes. CloudWatch and monitoring concepts are included.

Yes. Shell scripting is included along with Python-based automation.

Python is useful for automation and scripting, although DevOps professionals work with multiple technologies depending on the environment.

DevOps does not necessarily require software-development-level coding skills, but scripting and automation skills are highly useful.

Yes. Understanding networking concepts such as IP addresses, DNS, ports, subnets and routing helps when working with AWS infrastructure.

No. Cloud Computing is the broader concept, while AWS is one of the major cloud service providers.

No. Cloud Computing provides infrastructure, while DevOps focuses on collaboration, automation, CI/CD, deployment and infrastructure management.

No. Docker is used for containerization, while Kubernetes is used to orchestrate and manage containers at scale.

No. Jenkins is an automation server commonly used to create CI/CD pipelines.

Terraform is used to define and provision infrastructure using Infrastructure as Code.

Ansible can automate server configuration, software installation and deployment tasks.

Yes. The program includes a dedicated 20-day DevOps & AWS project.

A project allows learners to combine AWS, Git, CI/CD, Docker, Kubernetes, Terraform and monitoring into an end-to-end workflow.

Yes. The curriculum is positioned for freshers searching for DevOps training in Chennai.

Yes. Software developers benefit from learning Git, CI/CD, Docker, Kubernetes, cloud and infrastructure automation.

Yes. Linux administration provides a useful foundation for learning DevOps and Cloud technologies.

Yes. The AWS section begins with Cloud fundamentals before progressing into infrastructure and DevOps automation.

The curriculum has a total duration of approximately 150 days.

Yes. The page is structured around DevOps & AWS course and internship-oriented training at UNIQ Technologies.

The curriculum brings together Linux, Git, AWS, Jenkins, CI/CD, Docker, Kubernetes, Terraform, Ansible, monitoring and a practical 20-day DevOps project.

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