AWS DevOps Course in Bangalore

Quick overview

AWS DevOps Course at a Glance

In short

The AWS DevOps course at Ascent Software Training Institute is practical training in cloud infrastructure and automated software delivery on AWS. It is taught in the classroom at BTM 1st Stage, Bangalore, or live online, covers Linux, scripting, Git, AWS services, Jenkins, Docker, Kubernetes (EKS), Ansible and CloudWatch, and ends with a live project, a course completion certificate and Placement & Career Support.

Course: AWS DevOps CourseAWS DevOps certification course in Bangalore
Suitable for: Freshers, job seekers, IT professionals & career switchersBasic computer skills needed; Linux basics help
Training mode: Classroom (BTM 1st Stage) or live onlineGroup, one-to-one and online training options
Duration: 4.5 months, Monday to SaturdayAs listed on the current course page
Format: 30% theory · 70% practicalAssignments for each topic, one-on-one mentorship
Projects: Hands-on labs and a live projectComplete setup from scratch
Certification: Course completion certificate from Ascent Software Training InstituteAWS exams are taken separately
Batches: Weekday & weekend batchesNext batch: starts every 15 days · free demo class
Career support: Resume building, mock interviews, interview preparation & job opportunities

Fees: ask a career advisor for the current fee · Sources for course facts: the DevOps and AWS course pages on ascentcourses.com, the current AWS DevOps course page and the AWS DevOps syllabus PDF

See batch timings

Definition

What Is AWS DevOps?

Direct answer

AWS DevOps is the practice of using Amazon Web Services together with DevOps methods and tools to build, test, release and run software automatically. Teams keep code in Git, use CI/CD pipelines (for example Jenkins or AWS CodePipeline) to build and test every change, package applications in Docker containers, create infrastructure from code, and monitor everything with services such as Amazon CloudWatch.

AWS vs DevOps vs AWS DevOps

Three terms that are often mixed up. Here is how they relate.

Platform

AWS

Where applications run.

Amazon Web Services is a cloud platform that rents out servers (EC2), storage (S3), networking (VPC), databases and more, on demand, instead of buying hardware.

Way of working

DevOps

How software is delivered.

A culture and set of practices that brings development and operations together, automating build, test, release and monitoring so changes ship faster and more safely.

The job skill

AWS DevOps

DevOps practices, run on AWS.

Using AWS services with tools like Git, Jenkins, Docker, Kubernetes and Ansible to automate infrastructure and deployments in the cloud. This is what the course teaches.

What an AWS DevOps engineer actually does

Builds CI/CD pipelinesEvery code change is built, tested and deployed automatically.
Creates infrastructure as codeServers, networks and permissions are defined in templates, not clicked by hand.
Runs containersPackages apps with Docker and runs them on ECS or Kubernetes (EKS).
Automates configurationUses Ansible playbooks and scripts so every server is set up the same way.
Keeps systems availableLoad balancing, Auto Scaling and backups keep apps up when traffic grows.
Monitors and fixesWatches metrics and logs, sets alarms and troubleshoots failures.

Definitions in this section are general industry knowledge. Course coverage is from the published AWS DevOps and DevOps syllabi of Ascent Software Training Institute.

Eligibility

Who Should Learn AWS DevOps?

Starting level

The course is open to freshers, job seekers and working professionals. It starts with DevOps and cloud fundamentals, Linux and scripting, so you do not need prior cloud experience. You will progress faster if you are comfortable with computers and willing to work in a command-line terminal every day.

Freshers & graduates
Engineering, BSc, BCA and MCA graduates aiming for a first cloud or DevOps role.
System administrators
Move from manual server work to cloud automation.
Developers
Java, Python and .NET developers who want to own build and deployment.
Testers & support engineers
Add CI/CD, cloud and automation skills to your profile.
Career switchers
Professionals moving into IT through a structured, practical path.
Working professionals
Weekday and weekend batches fit around work.

Who may need foundational preparation first?

DevOps sits on top of operating systems, networking and some scripting. If any of these apply to you, plan extra practice in the first weeks. A career advisor can suggest where to start.

You have never used a command line (Linux terminal or Windows PowerShell).
Terms like IP address, DNS, port or subnet are new to you.
You come from a non-IT background and have not written any code or scripts before.

Prerequisites: what you need before you start

Required

Basic computer skills: installing software, managing files and folders
Comfort reading technical English (documentation and error messages)
A laptop for practice, and time to practise outside class
Willingness to work in a command-line terminal

Helpful, not required

Linux basics (taught in the course)
Any programming or scripting experience: Python, Bash, Java
Networking basics: IP addresses, DNS, HTTP, ports
An idea of how software is developed and tested

Syllabus

AWS DevOps Course Syllabus: What You Will Learn

The syllabus moves from DevOps and cloud fundamentals, Linux and scripting to AWS services, CI/CD with Jenkins, Docker, Kubernetes on Amazon EKS, infrastructure as code, Ansible and monitoring, ending with a live project and interview preparation. Open a module to see what you learn, what you practise and why it matters on the job.

M1

DevOps & Cloud Fundamentals

DevOps principles, Agile vs DevOps, CI/CD, cloud models

What DevOps is and why teams adopt it
SDLC vs Agile vs DevOps
Continuous integration, delivery, deployment and feedback
DevOps toolchain: practices and tools
Cloud computing: IaaS, PaaS, SaaS
CAPEX vs OPEX, elasticity, pay as you use
Advantages of AWS for DevOps

You learn

How DevOps and the cloud change the way software is delivered.

You practise

Mapping a manual release process onto a DevOps toolchain.

Why it matters

Interviewers start with these concepts, and every later module builds on them.

M2

Linux for DevOps

Architecture, commands, file systems, administration

Linux architecture: kernel, shell, utilities
Linux boot process and flavours
Directory structure and editors
Everyday and admin-level commands
Reading files and redirection operators
File system management and Linux volume manager (LVM)

You learn

How to work confidently on the Linux servers that run most cloud workloads.

You practise

Managing users, files, permissions and disks on a Linux EC2 instance.

Why it matters

Almost every DevOps task happens in a Linux terminal.

M3

Shell & Python Scripting

Automate repetitive tasks

Shell scripts: she-bang, variables, loops, case, functions
Command-line arguments and getopts
Regular expressions with grep, awk and sed
Python basics: data types, loops, functions, modules
Files and exception handling in Python
Real-time automation scripts

You learn

How to automate server and pipeline tasks with scripts.

You practise

Writing a script that checks disk usage and cleans up old log files.

Why it matters

Scripting is how DevOps engineers remove manual, error-prone work.

M4

Version Control with Git & GitHub

Branching, merging, collaboration

Git installation and configuration
Clone, commit, push and pull
Master and branch concepts, branching strategies, GitFlow
Stash area, check-in and check-out
Merge conflicts and resolution
Centralised repository on GitHub or AWS CodeCommit
Git hooks and release versioning

You learn

How teams track, review and release code safely.

You practise

Running a feature-branch workflow with pull requests and fixing a merge conflict.

Why it matters

Every CI/CD pipeline starts from a Git repository.

M5

AWS Core Services: IAM, EC2, S3, EBS & VPC

Accounts, access, compute, storage, networking

Setting up an AWS account, billing and the AWS CLI
IAM users, groups, roles and policies
EC2 instance types, pricing, AMIs, key pairs, Elastic IPs
S3 buckets, policies, versioning and lifecycle rules
EBS volumes and snapshots
VPC, subnets, route tables, security groups and NACLs

You learn

The AWS building blocks every DevOps setup uses.

You practise

Launching an EC2 web server in your own VPC with least-privilege IAM access.

Why it matters

You cannot automate AWS until you can build it by hand.

M6

High Availability: ELB, Auto Scaling & Recovery

Load balancing, scaling, backup and DR

Elastic Load Balancer: configuration and targets
Auto Scaling groups and launch configuration
Multi-AZ deployments
AWS Backup and recovery services
Disaster recovery planning and failover
Elastic Beanstalk for platform-as-a-service

You learn

How to keep applications running when traffic grows or servers fail.

You practise

Putting EC2 instances behind a load balancer and watching Auto Scaling replace a stopped instance.

Why it matters

Uptime is one of the main things DevOps teams are measured on.

M7

CI/CD with Jenkins & AWS Code Services

Pipelines, plugins, deployments

Jenkins installation, dashboard and authentication
Jenkins jobs, scheduling and parameterised builds
Plugins and integration with Maven, shell and Python scripts
Creating a complete CI/CD pipeline and lab setup
AWS CodePipeline, CodeBuild and CodeDeploy
Rolling and blue-green deployments, deploying to production

You learn

How to build, test and deploy every change automatically.

You practise

Building a Jenkins pipeline that runs on every GitHub push and deploys to AWS.

Why it matters

CI/CD pipelines are the core deliverable of a DevOps engineer.

M8

Docker & Amazon ECS

Containers, images, clusters, Fargate

Containers and Docker fundamentals
Docker install, pull, run and attach; Docker Hub
Building Docker images
ECS clusters, task definitions and services
Networking, load balancing and scaling on ECS
AWS Fargate: serverless containers

You learn

How to package applications so they run the same everywhere.

You practise

Containerising a web app and running it on ECS with Fargate.

Why it matters

Most modern applications are shipped as containers.

M9

Kubernetes with Amazon EKS

Clusters, pods, scaling, Helm

Building an EKS cluster with the AWS CLI and CloudFormation
Pods, services, ReplicaSets and replication controllers
Deployments: roll out and roll back
Horizontal Pod Autoscaler (HPA)
Ingress controller, load balancer and headless services
StatefulSets, database connectivity and security
Helm charts and maintaining worker nodes

You learn

How to run and scale containerised services with Kubernetes on AWS.

You practise

Deploying a multi-service app to EKS with Helm, then scaling it with HPA.

Why it matters

Kubernetes skills are expected in many mid-level DevOps roles.

M10

Infrastructure as Code & Configuration Management

CloudFormation, Ansible, Systems Manager

Infrastructure as code principles
CloudFormation templates, parameters, stacks and stack sets
Ansible setup, inventory and YAML
Ansible playbooks, ad-hoc commands, modules and roles
Ansible Galaxy and real-time playbooks
AWS Systems Manager: Run Command, patching, Parameter Store

You learn

How to create and configure infrastructure from code instead of by hand.

You practise

Creating a VPC and servers from a CloudFormation template, then configuring them with an Ansible playbook.

Why it matters

Code-defined infrastructure is repeatable, reviewable and fast to rebuild.

M11

Monitoring, Security & Serverless

CloudWatch, Nagios, IAM best practices, Lambda

CloudWatch metrics, custom metrics and dashboards
Alarms, thresholds and notifications
CloudWatch Logs: log groups and streams
Nagios architecture, plugins and NRPE
IAM best practices, KMS encryption, AWS WAF
AWS Lambda functions and event triggers
Cost management and troubleshooting

You learn

How to watch, secure and troubleshoot systems in production.

You practise

Setting a CloudWatch alarm on high CPU and tracing the cause through logs.

Why it matters

Finding and fixing problems fast is what keeps services reliable.

M12

Live Project & Interview Preparation

Complete setup from scratch

Live project: complete setup from scratch
Project implementation using DevOps
Preparing for AWS DevOps certifications
FAQs and interview preparation

You learn

How to bring every tool together in one working project.

You practise

Building the full pipeline and infrastructure for an application, then presenting it.

Why it matters

A project you can explain end to end is your strongest interview evidence.

Is Terraform included?

Terraform is not listed in the published AWS DevOps syllabus. Infrastructure as code is taught with AWS CloudFormation, and configuration management with Ansible. Ask a career advisor whether Terraform is covered in your batch.

About this syllabus: topics come from the AWS DevOps syllabus PDF, the current AWS DevOps course page, and the DevOps and AWS course pages on ascentcourses.com, grouped here into 12 modules. The "you practise" examples describe typical lab exercises.

AWS services

AWS Services You Will Use, and Why DevOps Needs Them

In one line

DevOps on AWS relies on a core set of services: IAM for access, EC2, EBS and S3 for compute and storage, VPC, ELB and Auto Scaling for networking and availability, CloudFormation for infrastructure as code, the Code* tools, ECS and EKS for delivery and containers, and CloudWatch for monitoring.

AWS service	What it does	Why DevOps uses it
IAMIdentity and Access Management	Controls who can access which AWS resources, using users, groups, roles and policies.	Gives pipelines, servers and people only the permissions they need (least privilege), without sharing passwords.
EC2Elastic Compute Cloud	Virtual servers in the cloud, sized and priced to the workload.	Hosts applications, Jenkins servers and build agents.
EBSElastic Block Store	Disk volumes attached to EC2 instances, with snapshots.	Persistent storage and backups for servers.
S3Simple Storage Service	Highly durable object storage for files of any size.	Stores build artifacts, logs, backups and static website files.
VPCVirtual Private Cloud	Your own isolated network with subnets, route tables, security groups and NACLs.	Separates application tiers and controls which traffic is allowed.
ELBElastic Load Balancing	Spreads incoming traffic across healthy servers or containers.	Makes rolling and blue-green deployments possible without downtime.
Auto ScalingEC2 Auto Scaling	Adds or removes EC2 instances automatically based on demand.	Handles traffic spikes and replaces failed servers without manual work.
CloudFormationAWS CloudFormation	Creates and updates AWS resources from templates.	Infrastructure as code: repeatable, version-controlled environments.
CodePipeline · CodeBuild · CodeDeployAWS developer tools	Managed services for pipelines, builds and deployments.	CI/CD on AWS without running your own build servers.
ECS & FargateElastic Container Service	Runs Docker containers; Fargate removes the need to manage servers.	A simple way to deploy and scale containerised apps.
EKSElastic Kubernetes Service	Managed Kubernetes control plane on AWS.	Runs microservices at scale with rollouts, rollbacks and autoscaling.
LambdaAWS Lambda	Runs code without servers, triggered by events.	Event-driven automation and small tasks around pipelines.
CloudWatchAmazon CloudWatch	Collects metrics and logs, shows dashboards and raises alarms.	Spots problems early and alerts the team before users notice.
Systems ManagerAWS Systems Manager	Runs commands, patches servers and stores configuration parameters.	Manages fleets of servers and keeps settings and secrets out of code.
KMSKey Management Service	Creates and controls encryption keys.	Encrypts data and secrets used by applications and pipelines.

Services listed are those named in the course syllabi. Descriptions are general AWS knowledge. Ascent Software Training Institute is not affiliated with Amazon Web Services; AWS service names are used only to describe the training.

DevOps toolchain

The DevOps Toolchain on AWS

DevOps is a loop, not a straight line. Each stage has tools, and the course covers at least one tool for every stage.

1
Plan
Agile and DevOps practices, SDLC
Agile · DevOps culture
2
Code
Version control and collaboration
Git · GitHub · CodeCommit
3
Build
Compile and package every change
Jenkins · Maven · CodeBuild
4
Test
Automated tests in the pipeline
Jenkins jobs · CodeBuild
5
Release
Versioned, approved artifacts
Docker · CodePipeline
6
Deploy
Ship to servers or containers
CodeDeploy · ECS · EKS · Helm
7
Operate
Provision and configure infrastructure
CloudFormation · Ansible · SSM
8
Monitor
Metrics, logs, alarms, troubleshooting
CloudWatch · Nagios

Learning journey

Your AWS DevOps Learning Path, Step by Step

Recommended order

Learn Linux first, then Git, then core AWS services. Add Docker, then CI/CD pipelines, then automation with infrastructure as code and Ansible, then monitoring. Finish with projects and interview preparation. Each step depends on the one before it.

01
Linux
Commands, files, users, shell
02
Git
Branches, merges, GitHub
03
AWS
IAM, EC2, S3, VPC, ELB
04
Docker
Images, containers, ECS
05
CI/CD
Jenkins, CodePipeline
06
Automation
CloudFormation, Ansible, EKS
07
Monitoring
CloudWatch, Nagios
08
Projects
Live project from scratch
09
Interview prep
FAQs, mock interviews

Practical labs

Hands-On Labs: From Code to Monitoring

Labs follow the path a real change takes in a DevOps team. You start with a commit and finish by watching the application run in AWS.

01
Code
Commit and branch in Git, push to GitHub.
02
Build
A Jenkins job builds the app on every push.
03
Test
Automated tests run inside the pipeline.
04
Package
Build a Docker image from a Dockerfile.
05
Deploy
Release to EC2, ECS or EKS, with rollback.
06
Monitor
CloudWatch metrics, alarms and notifications.

JenkinsfileExample

// A simple declarative pipeline of the kind written in the Jenkins module
pipeline {
  agent any
  stages {
    stage('Build')   { steps { sh 'mvn -B package' } }
    stage('Test')    { steps { sh 'mvn test' } }
    stage('Package') { steps { sh 'docker build -t app:${BUILD_NUMBER} .' } }
    stage('Deploy')  { steps { sh 'kubectl set image deploy/app app=app:${BUILD_NUMBER}' } }
  }
}

Cloud costs: practising on AWS can incur charges. Many exercises fit within the AWS Free Tier, and the course covers managing costs and cleaning up resources so you avoid unexpected bills.

Projects

AWS DevOps Projects You Can Show Employers

How to read this

The syllabus ends with a live project: a complete setup from scratch. The other cards are example learning projects that show the type of work practised in labs. Ask a career advisor about the projects in the current batch.

From the syllabus

Live Project: Complete Setup from Scratch

BuildSet up the infrastructure, pipeline and tooling yourself
DeployTake an application from code to running on AWS
ExplainWalk through your design and decisions, as in an interview

Highly available web app on EC2

Example learning project

Problem: A website goes down whenever traffic spikes or a server fails.
Task: Launch EC2 instances in two Availability Zones inside a custom VPC, add a load balancer and an Auto Scaling group.
Tools: EC2VPCELBAuto Scaling
Result: The app keeps serving when an instance is stopped and scales out under load.
Skills: AWS networking and high availability

Jenkins CI/CD pipeline

Example learning project

Problem: Developers copy files to servers by hand and releases often break.
Task: Build a Jenkins pipeline, triggered by GitHub pushes, that builds, tests and deploys the app.
Tools: GitGitHubJenkinsMaven
Result: Every push is tested and deployed automatically, with a full build history.
Skills: CI/CD and pipeline as code

Containerise an app and run it on ECS

Example learning project

Problem: The app works on a developer laptop but fails on the server.
Task: Write a Dockerfile, build the image and run it on Amazon ECS with Fargate behind a load balancer.
Tools: DockerECSFargate
Result: The same image runs identically in every environment.
Skills: Containers and container deployment

Microservices on Kubernetes (EKS)

Example learning project

Problem: Several services need to scale independently and release safely.
Task: Create an EKS cluster with CloudFormation, deploy with Helm, add Ingress and HPA, then practise rollout and rollback.
Tools: EKSkubectlHelmCloudFormation
Result: Services scale with load, and a bad release is rolled back with one command.
Skills: Kubernetes operations on AWS

Infrastructure as code with configuration

Example learning project

Problem: Test and production environments slowly drift apart.
Task: Define the VPC and servers in a CloudFormation template, then configure them with Ansible playbooks and roles.
Tools: CloudFormationAnsibleYAML
Result: Identical environments created and configured from code in minutes.
Skills: Infrastructure as code and configuration management

Monitoring and alerting

Example learning project

Problem: The team only hears about outages from customers.
Task: Create CloudWatch dashboards and custom metrics, set alarm thresholds and notifications, and add Nagios checks.
Tools: CloudWatchNagios
Result: Alerts fire before users notice, with a short troubleshooting runbook.
Skills: Monitoring and troubleshooting

Choose your direction

AWS vs DevOps vs Cloud Engineering vs Software Development

Short answer

AWS skills are about using one cloud platform. DevOps is about automating how software is built and released. Cloud engineering designs and runs cloud infrastructure. Software development writes the application itself. An AWS DevOps engineer combines the first three and works closely with developers.

Aspect	AWS (cloud platform skills)	DevOps	Cloud Engineering	Software Development
Main focus	Using AWS services correctly and securely	Automating build, test, release and operations	Designing and running cloud infrastructure	Writing application features and fixing bugs
Typical tasks	Launch EC2, configure S3, IAM, VPC	CI/CD pipelines, containers, IaC, monitoring	Networks, scaling, backups, cost, migrations	Code, unit tests, code reviews, APIs
Core tools	AWS Console, AWS CLI	Git, Jenkins, Docker, Kubernetes, Ansible	VPC, ELB, Auto Scaling, CloudFormation	Java, Python, .NET, IDEs, frameworks
Coding level	Low to moderate	Scripting (Shell, Python), YAML	Scripting and templates	High
Typical entry roles	Cloud Support Associate	Junior DevOps Engineer, Build & Release Engineer	Junior Cloud Engineer	Junior / Associate Developer
Covered in this course	Yes: modules 5–6, 11	Yes: modules 1–4, 7–10, 12	Partly: modules 5–6, 10	No (scripting only)

General industry overview. Module mapping refers to the syllabus above.

Career path

AWS DevOps Career Options After Training

Honest answer

Training prepares you for entry-level cloud and DevOps roles. Most people start in support, build and release or junior DevOps work and grow with hands-on experience. Completing a course does not automatically qualify you for every role; employers look at your practical skills, projects and interview performance.

Start · entry roles

Junior DevOps Engineer

Maintains pipelines, deployments and scripts under senior engineers.

Linux · Git · Jenkins · AWS

Cloud Support Associate

Troubleshoots AWS resources, access and connectivity issues for users.

EC2 · IAM · VPC · CloudWatch

Build & Release Engineer

Manages builds, versions and releases across environments.

Git · Jenkins · Maven · Docker

Grow · with 2–4 years' practice

DevOps Engineer

Owns CI/CD, containers and infrastructure automation for teams.

Jenkins · Docker · EKS · Ansible

Cloud Engineer (AWS)

Designs and runs secure, scalable AWS infrastructure.

VPC · Auto Scaling · CloudFormation

Site Reliability Engineer (SRE)

Keeps production reliable through monitoring, automation and incident response.

CloudWatch · Kubernetes · scripting

Senior · over time

Senior DevOps Engineer
DevOps / Cloud Architect
Platform Engineering Lead
DevOps Manager

Senior roles usually need several years of hands-on production experience and further certifications.

A realistic career progression

Months 0–5
Learn & build
Course, labs and a live project. Practise until you can rebuild your pipeline without notes.
First role
Support, build & release, junior DevOps
Work on tickets, pipelines and deployments under senior engineers.
Years 2–4
DevOps / Cloud Engineer
Own pipelines and environments, automate more, handle incidents.
Years 5+
Senior, SRE, Architect
Design platforms, set standards, mentor others.

Timelines are typical and vary by person, employer and market. No salary or job outcome is promised.

Industry certifications you can prepare for

The course includes preparation for AWS DevOps certifications. Exams are booked and taken separately with AWS or the certifying body, and are not included in the course certificate.

FoundationalAWS Certified Cloud Practitioner
AssociateAWS Certified Solutions Architect – Associate
AssociateAWS Certified CloudOps Engineer – Associate
ProfessionalAWS Certified DevOps Engineer – Professional
KubernetesCertified Kubernetes Administrator (CKA)

Placement & Career Support

Resume Building, Interview Preparation & Job Opportunities

Career support runs alongside the course. Classes are followed by commonly asked interview questions, and the career team helps you present your projects and skills when you start applying.

Important

Placement assistance does not guarantee a job. Hiring decisions are made by employers based on the candidate's skills and interview performance.

Career mentoring
One-to-one guidance on which cloud or DevOps role suits your background.
Resume & LinkedIn profile
Present your pipelines, projects and AWS skills clearly to recruiters.
Mock interviews
Simulated technical interviews with experienced professionals, with feedback.
Interview preparation
FAQs and interview questions covered with each topic.
Job opportunities & internships
Job openings shared with eligible students, and internship programs for students and trainees.

Training format

AWS DevOps Training Format & Batch Timings

Choose the format that fits your schedule. Online classes are live, with the same level of guidance as classroom training.

Classroom group training
At the BTM 1st Stage centre in Bangalore, with limited batch sizes.
Live online training
Real-time sessions with a trainer, from anywhere.
One-to-one training
Individual sessions focused on your goals.

Attend a free demo class first

Book a free demo, in the classroom or online, to see the teaching style before you enrol.

Book a Free Demo Book on WhatsApp

AWS DevOps batch timings
Days	Batch timings
Mon – Fri	8–10 AM12–2 PM6–8 PM7–9 PM
Sat – Sun	8–10 AM12–2 PM
Next batch	Every 15 days Reserve on WhatsApp

New batches start every 15 days. Need different timings? Ask a career advisor.

Expertise

Learn AWS DevOps from Industry Experts

The course is taught by industry experts: certified working professionals who bring current cloud and DevOps practice into the classroom.

What you can expect from the trainers

Presentations followed by hands-on sessions and assignments
Real-time examples and study material built on real problems
One-on-one mentorship and doubt clearing
Interview questions discussed alongside each topic

Student testimonials

What Students Say About Ascent Software Training Institute

Feedback from students of other courses, as published by Ascent Software Training Institute on its AWS DevOps course page. Shown as written.

Java

I'm grateful to the dedicated faculty at Ascent for their invaluable support, which led to my selection as a Java developer at Capgemini. Heartfelt thanks!

SMSai MastanJava Developer

Python

I'm delighted to announce my selection as a Python developer at Infosys. I extend my gratitude to the exceptional support provided by the Ascent faculty.

ANAnithaPython

Data Science

I completed a Data Science course at Ascent, and their faculty provided invaluable support for my success. Thanks to them, I secured a job. Highly recommended!

BRB C RajuData Science

Power BI

I'm thrilled to have been selected as a Power BI developer. I extend my heartfelt gratitude to the Ascent faculty for their invaluable guidance and support.

KTKushal TejaPower BI Developer

No AWS DevOps–specific student testimonial has been verified yet. These are from Java, Python, Data Science and Power BI students and describe the general training experience.

Student videos

Student Experiences at Ascent Software Training Institute

Real students and real classrooms, from the institute's official YouTube channel.

Watch more on YouTube

Student feedback

Learning. Training. Experience. Growth.

Students share feedback on their training classes, lab sessions, curriculum and mock tests.

Student experience

Here's my honest experience at Ascent

Student experience

My honest experience at Ascent

Inside the institute

Ascent Software Training Institute: A Gateway to Excellence

Source: Official YouTube channel of Ascent Software Training Institute

These videos cover the student experience across courses at Ascent Software Training Institute.

Google Reviews

Google Reviews from Students

4.5 Based on 973 Google reviews (checked 6 Oct 2026)

Independent reviews from the Google Business Profile of Ascent Software Training Institute, covering all courses. Shown exactly as written.

Read All Reviews on Google

SA Shaik ApsanaGoogle review

I took SQL and Power BI training. The trainer is excellent with deep knowledge in both subjects. He explains every concept from basic to advanced in a very simple and…

PS prathit sahuGoogle review

Accent Software Training Institute is a very good place to learn IT skills like Power BI, SQL, PowerApps, and Power Automate and other IT skills as well. Even if you…

AV Abishek VGoogle review

I had a very good learning experience at Ascent Software Training Institute. The trainers explained Java, Selenium, Manual Testing and SQL concepts clearly with practical examples. They were patient while…

Why you can trust this page

About Ascent Software Training Institute

Ascent Software Training Institute is an IT training institute at #96, 2nd Floor, 100 Ft Ring Road, BTM 1st Stage, Bengaluru, and a unit of Ascent NextGen Technologies. It offers classroom and live online training in cloud and DevOps, cyber security, data analytics, data science and full stack development.

15,000+trained candidatesSource: DevOps course page

70%practical sessions30% theory, 70% practical. Source: DevOps course page

12syllabus modules, incl. live projectSource: AWS DevOps syllabus and course pages

4.5★Google rating973 reviews, checked 6 Oct 2026. Source: Google

EExperience

70% practical sessions and labs
Assignments for every topic
Live project built from scratch

EExpertise

Published syllabus covering 15+ AWS services
Industry tools: Jenkins, Docker, Kubernetes, Ansible
Training by certified industry experts

AAuthority

Training provided by Ascent Software Training Institute, Bangalore
Corporate training programs alongside public batches
Student videos on the official YouTube channel

TTrust

No job or salary guarantees
Every number on this page shows its source
Clear address, phone, email and opening hours

FAQ

AWS DevOps Course FAQs

Straight answers to the questions students ask most. Still unsure? Talk to a career advisor.

Talk to a Career Advisor Ask on WhatsApp

What is an AWS DevOps course?

An AWS DevOps course teaches you how to build, test, deploy and run applications on Amazon Web Services using DevOps practices and tools. At Ascent Software Training Institute it covers DevOps and cloud fundamentals, Linux, shell and Python scripting, Git, core AWS services, high availability, Jenkins and AWS CI/CD services, Docker and Amazon ECS, Kubernetes on Amazon EKS, CloudFormation and Ansible, monitoring with CloudWatch and Nagios, and a live project.

Is AWS DevOps good for beginners?

Yes, if you are willing to practise regularly. The course starts with DevOps and cloud fundamentals, Linux and scripting before moving to AWS, CI/CD and containers. Beginners should expect to spend extra time on Linux and the command line in the first weeks.

Can non-IT students learn AWS DevOps?

Yes, non-IT graduates and career switchers can learn AWS DevOps, but it takes more effort at the start. Build comfort with computers, the command line and basic networking first. A career advisor can suggest whether to begin with a foundation such as Linux.

Do I need coding knowledge to learn AWS DevOps?

You do not need to be a programmer. DevOps engineers mainly write scripts and configuration files, such as shell scripts, Python scripts and YAML. Shell and Python scripting are taught in the course.

Is Linux required for DevOps?

Yes. Most cloud servers, containers and DevOps tools run on Linux, so you need to be comfortable with Linux commands, files, users and permissions. Linux is taught early in the course.

What is the difference between AWS and DevOps?

AWS is a cloud platform that provides servers, storage, networking and other services on demand. DevOps is a way of working that automates how software is built, tested, released and monitored. AWS DevOps means applying DevOps practices using AWS services.

What topics are covered in the AWS DevOps course syllabus?

The syllabus has 12 modules: DevOps and cloud fundamentals; Linux; shell and Python scripting; Git and GitHub; AWS core services (IAM, EC2, S3, EBS, VPC); high availability with ELB and Auto Scaling; CI/CD with Jenkins and AWS CodePipeline, CodeBuild and CodeDeploy; Docker and Amazon ECS; Kubernetes with Amazon EKS; CloudFormation, Ansible and Systems Manager; monitoring, security and Lambda; and a live project with interview preparation.

Which AWS services will I learn?

You will work with IAM, EC2, EBS, S3, VPC, Elastic Load Balancing, Auto Scaling, CloudFormation, CodePipeline, CodeBuild, CodeDeploy, ECS and Fargate, EKS, Lambda, CloudWatch, Systems Manager and KMS.

Is Kubernetes included in the course?

Yes. Kubernetes is taught on Amazon EKS, including building a cluster, pods and services, roll-out and roll-back, the Horizontal Pod Autoscaler, Ingress, StatefulSets and Helm.

Is Terraform included in the course?

Terraform is not listed in the published syllabus. Infrastructure as code is taught with AWS CloudFormation, and configuration management with Ansible. Ask a career advisor whether Terraform is covered in your batch.

What is CI/CD and which tools are used?

CI/CD (continuous integration and continuous delivery or deployment) means every code change is automatically built, tested and released through a pipeline. The course uses Jenkins along with AWS CodePipeline, CodeBuild and CodeDeploy, with code stored in Git and GitHub.

What is Docker and why is it used in DevOps?

Docker packages an application and everything it needs into a container image, so it runs the same way on a laptop, a test server or in production. DevOps teams use it to make deployments consistent and to run applications on platforms such as Amazon ECS and Kubernetes.

How long is the AWS DevOps course?

The current course page lists a duration of 4.5 months, with classes Monday to Saturday. The exact duration can vary by batch and training mode, so confirm it with a career advisor.

Does the course include practical projects?

Yes. Sessions are 30% theory and 70% practical, with assignments for each topic, and the syllabus ends with a live project in which you complete a setup from scratch.

Will I get a certificate after the course?

Yes. Students receive a course completion certificate from Ascent Software Training Institute after completing the course.

Does the course prepare me for AWS certification exams?

The syllabus includes preparation for AWS DevOps certifications. AWS certification exams, such as AWS Certified DevOps Engineer – Professional, are booked and taken separately with AWS and are not included in the course completion certificate.

What jobs can I apply for after AWS DevOps training?

Common entry-level roles include Junior DevOps Engineer, Cloud Support Associate and Build and Release Engineer. With experience, people move into DevOps Engineer, Cloud Engineer and Site Reliability Engineer (SRE) roles.

Is AWS DevOps a good career in 2026?

Cloud and automation skills are used across IT services, product companies and global capability centres in Bangalore, so AWS DevOps remains a widely hired skill set. Your results depend on your practical skills, projects and interview performance; no course can guarantee a job.

Does Ascent Software Training Institute provide placement support?

Yes. Placement and Career Support includes career mentoring, resume and LinkedIn profile help, mock interviews, interview preparation and sharing job opportunities. Placement assistance does not guarantee a job; hiring decisions are made by employers.

Is online AWS DevOps training available?

Yes. Live online training is available alongside classroom group training and one-to-one training.

What are the batch timings?

Weekday batches run 8–10 AM, 12–2 PM, 6–8 PM and 7–9 PM, and weekend batches run 8–10 AM and 12–2 PM. New batches start every 15 days. Ask a career advisor if you need different timings.

Can I attend a free demo class?

Yes. You can book a free demo class, in the classroom or online. Use the Book a Free Demo button, call 080-4219 1321 or message 90350 37886 on WhatsApp.

What is the AWS DevOps course fee?

Fees depend on the training mode and batch. Contact a career advisor by phone or WhatsApp for the current fee.

Where is Ascent Software Training Institute located in Bangalore?

Ascent Software Training Institute is at #96, 2nd Floor, 100 Ft Ring Road, near Mico Layout, above Apollo Pharmacy, BTM 1st Stage, Bengaluru, Karnataka – 560029, close to Vega City Mall and Jayadeva Hospital.

Visit us

AWS DevOps Training Institute in BTM Layout, Bangalore

Ascent Software Training Institute is at #96, 2nd Floor, 100 Ft Ring Road, near Mico Layout, above Apollo Pharmacy, BTM 1st Stage, close to Vega City Mall, Bannerghatta Road, Jayadeva Hospital and BTM Water Tank. Students join the AWS DevOps classroom batches from BTM Layout, Jayanagar, JP Nagar, Bommanahalli, HSR Layout and nearby areas of South Bangalore, and live online batches are available for students outside Bangalore.

Get directions WhatsApp 90350 37886

Address: Ascent Software Training Institute
#96, 2nd Floor, 100 Ft Ring Road
Near Mico Layout, Above Apollo Pharmacy
BTM 1st Stage, Bengaluru, Karnataka – 560029
Phone: 080-4219 1321 · 90350 37886
Email: hr@ascentcourses.com
Hours: Mon–Sat 8:00 AM – 7:30 PM (phone until 8:30 PM) · Sun 8:00 AM – 2:00 PM
Nearby: Vega City Mall · Bannerghatta Road · Jayadeva Hospital · BTM Water Tank

Keep exploring

AWS DevOps Course at a Glance

What Is AWS DevOps?

AWS vs DevOps vs AWS DevOps

AWS

DevOps

AWS DevOps

What an AWS DevOps engineer actually does

Who Should Learn AWS DevOps?

Freshers & graduates

System administrators

Developers

Testers & support engineers

Career switchers

Working professionals

Who may need foundational preparation first?

Prerequisites: what you need before you start

AWS DevOps Course Syllabus: What You Will Learn

DevOps & Cloud Fundamentals

Linux for DevOps

Shell & Python Scripting

Version Control with Git & GitHub

AWS Core Services: IAM, EC2, S3, EBS & VPC

High Availability: ELB, Auto Scaling & Recovery

CI/CD with Jenkins & AWS Code Services

Docker & Amazon ECS

Kubernetes with Amazon EKS

Infrastructure as Code & Configuration Management

Monitoring, Security & Serverless

Live Project & Interview Preparation

Is Terraform included?

AWS Services You Will Use, and Why DevOps Needs Them

The DevOps Toolchain on AWS

Plan

Code

Build

Test

Release

Deploy

Operate

Monitor

Your AWS DevOps Learning Path, Step by Step

Linux

Git

AWS

Docker

CI/CD

Automation

Monitoring

Projects

Interview prep

Hands-On Labs: From Code to Monitoring

Code

Build

Test

Package

Deploy

Monitor

AWS DevOps Projects You Can Show Employers

Live Project: Complete Setup from Scratch

Highly available web app on EC2

Jenkins CI/CD pipeline

Containerise an app and run it on ECS

Microservices on Kubernetes (EKS)

Infrastructure as code with configuration

Monitoring and alerting

AWS vs DevOps vs Cloud Engineering vs Software Development

AWS DevOps Career Options After Training

Junior DevOps Engineer

Cloud Support Associate

Build & Release Engineer

DevOps Engineer

Cloud Engineer (AWS)

Site Reliability Engineer (SRE)

A realistic career progression

Learn & build

Support, build & release, junior DevOps

DevOps / Cloud Engineer

Senior, SRE, Architect

Industry certifications you can prepare for