Greater Insights
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DevOps & SRE · Intermediate to Advanced

AWS DevOps

Build CI/CD pipelines on AWS — CloudFormation, CodePipeline, and container deployments on ECS and EKS.

★★★★★ 4.7 Google
✓Instructor-led live sessions
✓Trainers with 15+ years industry experience
✓Hands-on cloud labs and coding playground
✓Industry-specific projects — AI-graded, trainer-validated
✓Industry-recognised certification, LinkedIn-shareable
👤
40,000+
Professionals trained
🏢
350+
Enterprise clients
Next batch: 14 Nov 2026Filling Fast
AWS
DevOps & SRE
AWS DevOps
CI/CD PipelinesCloudFormationECS & EKS
₹12,600 ₹21,000 40% off
⏰ ⚡ Flash sale · 40% off · EMI from ₹1,138/mo
Next batch 14 Nov 2026
🎓 Virtual Instructor-led
What's Included
🎓
Instructor-led sessions
🧪
Hands-on labs
🎯
Capstone project
🏆
GI Certificate

Trusted by leading enterprises

Upcoming Batches

Open-house batches for individuals — enroll directly. Training a team? Request an enterprise quote →

Weekday Weekend ⏱ Total duration: 24 hours
DatesScheduleModeDurationPrice
14 Nov – 29 Nov 2026
Saturday
all session dates
 10:00 AM–2:00 PM IST 🎓 Virtual Instructor-led🗓️ Weekends | Half days 3 weekends ₹12,600
₹21,000
Session datesWeekend batch
Sat 14 NovSun 15 NovSat 21 NovSun 22 NovSat 28 NovSun 29 Nov
16 Nov – 18 Nov 2026
Monday
all session dates
 9:30 AM–5:30 PM IST 🎓 Virtual Instructor-led🗓️ Weekdays | Full days 3 days ₹12,600
₹21,000
Session datesWeekday batch
Mon 16 NovTue 17 NovWed 18 Nov
07 Dec – 04 Jan 2027
Monday
all session dates
 8:00 PM–10:00 PM IST 🎓 Virtual Instructor-led🗓️ Weekdays | Evenings 12 sessions ₹12,600
₹21,000
Session datesWeekday batch
Mon 7 DecWed 9 DecFri 11 DecMon 14 DecWed 16 DecFri 18 DecMon 21 DecWed 23 DecMon 28 DecWed 30 DecFri 1 JanMon 4 Jan
Enterprise
Custom Date		 Custom Schedule
Your timing & location		 ⚡ Any Mode Flexible Custom pricing

Can't find a suitable batch? Contact us

Soaring Demand — and Where It Takes You

Real salaries
Min, average, max by role
Real hiring companies
Who's actually recruiting
Roles this programme prepares you for
DevOps EngineerCloud EngineerSite Reliability EngineerPlatform EngineerCloud DevOps ArchitectSoftware Release EngineerInfrastructure Automation EngineerCICD EngineerAWS Solutions Architect

Become a DevOps Engineer

Design CI/CD pipelines, automate infrastructure deployments, and manage containerized workloads on AWS platforms.

Average Salary* · Entry · 0–2 years exp
₹5L
Min
₹6L
Average
₹8L
Max
Hiring Companies

Become a Cloud Engineer

Build and maintain scalable AWS infrastructure using Infrastructure as Code, CloudFormation, and automated deployment strategies.

Average Salary* · Mid-level · 3–6 years exp
₹9L
Min
₹12L
Average
₹16L
Max
Hiring Companies

Become a Site Reliability Engineer

Ensure system reliability by implementing deployment automation, monitoring pipelines, and managing infrastructure at scale.

Average Salary* · Senior · 7+ years exp
₹16L
Min
₹22L
Average
₹30L
Max
Hiring Companies
45%
YoY growth in open cloud & DevOps positions
· LinkedIn Jobs Report
2.3L+
Active job openings across skill levels
· Indeed India Job Trends
Market Demand
18-28L
Annual compensation range for mid-level professionals
· Payscale India
35-50L
Senior architect & lead engineer salary band
· AmbitionBox Salary Data
Salary
52%
Tech companies increasing Cloud hiring vs last year
· LinkedIn Talent Report India
Tier-1
Tech hubs: Bangalore, Hyderabad, Pune leading hiring
· Indeed Job Trends
Hiring Market
3.2x
Salary growth multiplier over 5-year career span
· Glassdoor Career Progression Study
62%
Professionals promoted within 18-24 months
· Great Place to Work Survey
Career Growth
89%
Enterprises migrating workloads to cloud platforms
· IDC Cloud Adoption Index
72%
Organizations implementing CI/CD pipelines
· Forrester DevOps Maturity Report
Industry Adoption
K8s, AWS
Most in-demand certifications & platforms
· Linux Academy Skills Report
91%
Job postings requiring Kubernetes experience
· TrustRadius Cloud Skills Gap
Skills Outlook

* Salary figures sourced from AmbitionBox (2026-Q2). Indicative — actual pay varies by city, company and experience.

About This Course

This intermediate-to-advanced course equips DevOps engineers, cloud engineers, and platform professionals with the knowledge to design, build, and operate end-to-end CI/CD solutions on AWS. You'll master the CALMS framework, infrastructure as code with CloudFormation and modern infrastructure tools, and automation across the full application lifecycle—from source control through monitoring and troubleshooting.

Throughout this course, you'll construct complete deployment pipelines, implement containerized and serverless workloads, apply advanced deployment strategies like blue/green and canary releases, and embed DevSecOps practices into your workflows. By the end, you'll be able to architect robust, automated AWS environments that balance speed, reliability, and security using AWS services and industry best practices.

Who Should Attend

The job roles this programme is built for.

DevOps Engineer
Master AWS CI/CD pipelines and infrastructure automation tools.
Cloud Engineer
Learn container and serverless deployment strategies on AWS.
Site Reliability Engineer
Implement monitoring, security, and automated deployment practices.
Platform Engineer
Build scalable infrastructure-as-code solutions with CloudFormation and CDK.
Software Release Engineer
Automate end-to-end deployments with CodePipeline and CodeDeploy.
Infrastructure Automation Engineer
Gain hands-on AWS DevOps skills equivalent to DOP-C02 exam level.
PrerequisitesFoundational AWS knowledge equivalent to AWS Cloud Practitioner level · Basic understanding of Linux command-line operations · Familiarity with at least one scripting or programming language · Understanding of software development lifecycle concepts · Experience with version control systems such as Git

What You Will Learn

✓Design CloudFormation templates with parameters, mappings, and nested stacks
✓Automate infrastructure provisioning using AWS CLI, SDKs, SAM, and CDK
✓Build continuous integration workflows with CodeCommit and CodeBuild
✓Construct end-to-end CI/CD pipelines using AWS CodePipeline and CodeDeploy
✓Deploy containerized applications on ECS, Fargate, and EKS clusters
✓Implement serverless applications with Lambda, SAM, and API Gateway
✓Apply blue/green, canary, and rolling deployment strategies in pipelines
✓Integrate automated testing and quality gates into delivery workflows
✓Implement DevSecOps practices using IAM, secrets management, and Systems Manager
✓Monitor and troubleshoot applications with CloudWatch, X-Ray, and CloudTrail

Skills You Will Gain

DevOps Foundations & IaC
DevOps principles & culture
Infrastructure as code
CloudFormation templates
AWS CLI & SDKs
CI/CD Pipelines & Deployment
Source control workflows
Build automation
Deployment automation
Pipeline orchestration
Deployment strategies
Automated testing
Containers, Serverless & Operations
Container orchestration
Serverless applications
DevSecOps practices
Monitoring & observability

Tools & Platforms Covered

AWS
Claude Artifacts

Course Curriculum

11 modules · hands-on labs · 1 capstone project · 24 hours

M01 Introduction to DevOps on AWS
5 topics · 2 hrs ▼
  • DevOps principles and culture
  • The AWS DevOps toolchain
  • CALMS framework and continuous practices
  • The shared responsibility model
  • Overview of the DOP-C02 exam landscape
🧪 Hands-on Build a visual AWS DevOps toolchain map using Claude Artifacts that links CALMS pillars to their corresponding AWS services and shared responsibility boundaries.
Skills CALMS Framework AWS DevOps Toolchain Shared Responsibility Model
M02 Infrastructure as Code with CloudFormation
5 topics · 3 hrs ▼
  • CloudFormation templates and stacks
  • Parameters, mappings, and outputs
  • Stack updates and change sets
  • Drift detection
  • Nested stacks and best practices
🧪 Hands-on Build a multi-tier VPC environment using a nested CloudFormation stack with parameters, mappings, outputs, and a validated change set for a stack update.
Skills CloudFormation Stacks Change Sets Nested Stacks Drift Detection
M03 AWS Developer Toolkits
5 topics · 2 hrs ▼
  • The AWS CLI and SDKs
  • AWS Serverless Application Model (SAM)
  • AWS Cloud Development Kit (CDK)
  • AWS Cloud9
  • Infrastructure automation tooling
🧪 Hands-on Deploy a CDK-defined S3-backed static site and invoke it via the AWS CLI inside a Cloud9 environment to validate the full automation toolchain.
Skills AWS CLI AWS CDK AWS SAM Cloud9
M04 Continuous Integration with CodeCommit and CodeBuild
5 topics · 3 hrs ▼
  • Source control with AWS CodeCommit
  • Build automation with AWS CodeBuild
  • Buildspec files
  • Artifacts and unit tests
  • Integrating Git workflows
🧪 Hands-on Build a CodeBuild project triggered by a CodeCommit push that executes a buildspec-defined unit test suite and publishes a versioned artifact to S3.
Skills CodeCommit Workflows CodeBuild Automation Buildspec Files CI Artifacts
M05 Continuous Delivery with CodeDeploy and CodePipeline
5 topics · 3 hrs ▼
  • Deployment automation with AWS CodeDeploy
  • Appspec files
  • Building pipelines with AWS CodePipeline
  • Stages and actions
  • Approvals and Jenkins integration
🧪 Hands-on Build a three-stage CodePipeline that sources from CodeCommit, builds with CodeBuild, and deploys to EC2 via CodeDeploy using an appspec file with a manual approval gate.
Skills CodeDeploy CodePipeline Appspec Files Pipeline Approvals
M06 Microservices and Containers
5 topics · 3 hrs ▼
  • Microservices on AWS
  • Amazon ECS and AWS Fargate
  • Amazon EKS
  • Amazon Elastic Container Registry (ECR)
  • Deploying containerized applications
🧪 Hands-on Deploy a containerized microservice to AWS Fargate by building and pushing a Docker image to ECR and defining an ECS task definition and service.
Skills Amazon ECS AWS Fargate Amazon EKS Amazon ECR
M07 Serverless DevOps
5 topics · 2 hrs ▼
  • AWS Lambda
  • AWS Serverless Application Model (SAM)
  • Amazon API Gateway
  • Event-driven architectures
  • Deploying serverless applications
🧪 Hands-on Deploy an event-driven serverless API using AWS SAM that wires an API Gateway endpoint to a Lambda function with automated local testing before stack deployment.
Skills AWS Lambda AWS SAM API Gateway Event-Driven Architecture
M08 Deployment Strategies and Automated Testing
5 topics · 2 hrs ▼
  • In-place and blue/green deployments
  • Canary and rolling deployments
  • Automated testing in pipelines
  • Rollback strategies
  • Quality gates
🧪 Hands-on Implement a blue/green deployment with a canary traffic shift for a Lambda function via CodeDeploy and embed a pre-traffic automated test hook as a quality gate.
Skills Blue/Green Deployments Canary Deployments Quality Gates Rollback Strategies
M09 Security and Configuration Management
5 topics · 2 hrs ▼
  • DevSecOps on AWS
  • IAM and secrets management
  • Automated security and compliance
  • AWS Systems Manager
  • Configuration automation
🧪 Hands-on Implement a DevSecOps pipeline stage that retrieves secrets from AWS Secrets Manager via Systems Manager Parameter Store and enforces an IAM least-privilege role boundary validated by an automated compliance check.
Skills IAM Secrets Management AWS Systems Manager DevSecOps Practices Compliance Automation
M10 Monitoring and Observability
5 topics · 1 hr ▼
  • Amazon CloudWatch metrics and alarms
  • Centralized logging
  • AWS X-Ray tracing
  • AWS CloudTrail
  • Dashboards and troubleshooting
🧪 Hands-on Build a CloudWatch dashboard with custom metrics, log insights queries, and an X-Ray service map to trace and troubleshoot a live application request.
Skills Amazon CloudWatch AWS X-Ray CloudTrail Observability Dashboards
M11 Capstone Project
2 topics · 1 hr ▼
  • Choose a project theme with your trainer
  • Build it end to end in AWS
Skills Project Scoping End-to-End Delivery Presenting Findings
📄 Download Full Curriculum

Hands-On Projects

Every batch includes guided labs, case studies and a capstone — applied to real-world problems.

Project themes may include
✓Multi-Stage CI/CD Pipeline
✓Containerized Microservices Deployment
✓Serverless Event-Driven Application
✓Infrastructure-as-Code Automation
✓Blue/Green Deployment Strategy
✓DevSecOps Monitoring Dashboard
Project work is tailored to each cohort and the latest industry practice.
Why Train With Greater Insights
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01 · Meet Orbit

Your learning platform from day one.

Not email, Zoom links and scattered PDFs. From the moment you enroll, your whole programme lives in one place.

All-in-oneEverything connectedLive & instructor-led
02 · Your journey

One connected learning journey.

From enrolment to certificate, every step is laid out in order — you always know where you are and exactly what happens next. Nothing lost between tools.

03 · Cloud Labs

Real environments. Zero setup.

Pre-configured cloud labs. Spin one up in seconds, build on real infrastructure, break things and learn — nothing to install.

Pre-configuredReal cloudLive 24×7
04 · Coding Platform

A browser IDE with instant feedback.

Write and run code right in the browser, get AI feedback as you go, and practice against problems that mirror the job — no local setup, ever.

Browser IDEAI feedback
05 · Pre & Post Assessments

See exactly how far you've come.

A pre-assessment sets your baseline; a post-assessment proves your uplift. Real, measurable growth — for you, and for the employer looking at your record.

"I can see myself improving."
06 · Capstone

Prove it on a real project.

A capstone graded by AI and validated by your trainer — detailed feedback in hours, not weeks, on work that looks like what teams actually ship.

AI-gradedTrainer-validated
"I built something real."
07 · Guided every step

Always know what's next.

Today's session, pending tasks, resources and progress — organised in one place so you focus on learning, not on chasing links and files.

"This feels structured."
08 · Learning Passport

More than a certificate — proof you can show.

One verifiable link — the project you built, your before → after scores, the skills you proved. Shareable with any employer.

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Active Industry Practitioners
  • 15+ years of real industry experience
  • Senior tech leaders who’ve shipped what they teach
  • 100+ corporate trainings delivered to leading organisations
Live Interactive Learning
  • Live, instructor-led sessions
  • Real-time Q&A and instant doubt-clearing
  • Expert-led mentoring throughout
Post-Training Support
  • Course materials & lab files to keep
  • Direct trainer connect after the programme
  • Ongoing support from the GI team
Curriculum Updated Quarterly
  • Built around tools and practices used in production today
  • New techniques incorporated as the technology landscape evolves
  • Labs, projects and case studies refreshed every quarter
Certification

A certificate recognised by leading employers

Earn your Greater Insights AWS DevOps certificate — ready to share on LinkedIn.

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Frequently Asked Questions

What does the AWS DevOps course cover? +
The curriculum covers DevOps principles using the CALMS framework, infrastructure as code with CloudFormation, CI/CD pipelines, containerized and serverless deployments, monitoring with CloudWatch and X-Ray, and DevSecOps practices. You'll also learn the AWS toolchain including CodeCommit, CodeBuild, CodeDeploy, and CodePipeline.
Will I learn to build end-to-end CI/CD pipelines? +
Yes. The course teaches you to construct complete CI/CD pipelines using AWS services. You'll integrate source control workflows, build automation, deployment automation, and quality gates into production-ready solutions.
Does the course cover containerized deployments? +
Yes. You'll learn to deploy containerized workloads on Amazon ECS, AWS Fargate, and Amazon EKS. The course includes hands-on practice with the Elastic Container Registry and container orchestration strategies.
Are serverless deployments part of the curriculum? +
Yes. You'll build and deploy serverless applications using AWS Lambda, API Gateway, and the Serverless Application Model. The course covers event-driven architectures and serverless deployment patterns.
Will I learn infrastructure as code? +
Yes. The course teaches you to design infrastructure as code using CloudFormation templates, parameters, mappings, stack updates, change sets, drift detection, and nested stacks. You'll apply industry best practices throughout.
What deployment strategies does the course teach? +
You'll learn blue/green deployments, canary deployments, rolling deployments, and in-place deployments. The course also covers rollback strategies and how to choose the right approach for different scenarios.
How much hands-on practice is included? +
The course is live and instructor-led with hands-on cloud labs. You'll work through real-world scenarios using AWS services, not just watch demonstrations or read slides.
Will I learn DevSecOps? +
Yes. The course covers DevSecOps practices including IAM security, secrets management, automated security testing, and AWS Systems Manager configuration automation integrated into your pipelines.
Do I need AWS experience to join? +
You need foundational AWS knowledge equivalent to AWS Cloud Practitioner level. This means familiarity with core AWS services and basic cloud concepts, not expert-level AWS skills.
What Linux skills do I need? +
You need basic understanding of Linux command-line operations. You don't need to be an expert—just comfortable working in a terminal.
Do I need programming experience? +
Yes, you should have familiarity with at least one scripting or programming language. This helps you work with buildspec files, appspec files, and infrastructure automation code.
Is Git experience required? +
Yes. You need experience with version control systems such as Git. The course builds on this foundation to teach source control workflows and integrating Git with CI/CD pipelines.
Do I need to know software development lifecycle concepts? +
Yes. Understanding of software development lifecycle concepts is a prerequisite. This includes familiarity with build, test, and deployment phases.
What is the AWS CLI and why does it matter for DevOps? +
The AWS CLI is a command-line tool to interact with AWS services. You'll use it to automate infrastructure provisioning, manage deployments, and build scripts that drive your DevOps workflows.
What is CodeCommit and how does it fit into CI/CD? +
CodeCommit is AWS's managed source control service. You'll use it to implement source control workflows, integrate Git-based development, and trigger automated pipelines when code changes.
What is CodeBuild and how does it work? +
CodeBuild is AWS's managed build service. You define build instructions in buildspec files, and CodeBuild automatically compiles code, runs unit tests, and produces deployment artifacts.
What is CodeDeploy and when would I use it? +
CodeDeploy automates application deployments to instances, on-premises servers, or Lambda functions. You define deployment instructions in appspec files and choose deployment strategies like blue/green or rolling.
What is AWS X-Ray and how does it help monitor applications? +
AWS X-Ray traces requests through your application and AWS services, showing you where bottlenecks and errors occur. It's essential for monitoring and troubleshooting distributed systems.
How does CloudWatch help with DevOps monitoring? +
CloudWatch collects Amazon CloudWatch metrics and centralized logging from your applications and infrastructure. You use it to monitor system health, set alarms, and debug issues.
What jobs can I get after this course? +
Graduates pursue roles including DevOps Engineer, Cloud Engineer, Site Reliability Engineer, Platform Engineer, Cloud DevOps Architect, Software Release Engineer, Infrastructure Automation Engineer, CI/CD Engineer, and AWS Solutions Architect.
What does a DevOps Engineer do? +
A DevOps Engineer builds and maintains CI/CD pipelines, infrastructure, and deployment systems. They automate repetitive tasks, improve system reliability, and bridge development and operations teams.
What does a Cloud Engineer do? +
A Cloud Engineer designs and manages cloud infrastructure on AWS. They architect solutions, optimize costs, ensure security, and support scalability.
What does a Site Reliability Engineer do? +
A Site Reliability Engineer focuses on system reliability, uptime, and performance. They implement monitoring, automate operations, design resilient systems, and respond to incidents.
Do salaries vary based on specialization? +
Yes. Salaries vary with experience, specialization in specific AWS services or domains, geographical location, and company size. The breakdown on this page shows ranges for your area.
Are these roles in high demand? +
Yes. Demand for DevOps and cloud engineering skills has consistently outpaced supply. Organizations of all sizes need people who can automate infrastructure and manage continuous deployment.
Can I work remotely in these roles? +
Many DevOps and Cloud Engineer roles offer remote or flexible work options. Cloud-based work is inherently location-agnostic, though some roles may require occasional on-site collaboration.
What is the average DevOps Engineer salary in this market? +
The average DevOps Engineer salary in this market is around ₹6L. The typical pay range runs from ₹5L to ₹8L.
What does an experienced DevOps Engineer earn in this market? +
Experienced DevOps Engineers in this market typically earn towards the upper end of the range — up to ₹8L and above at senior or lead level. Specialisations in AI, cloud, or advanced analytics can push compensation higher.
What is the average Cloud Engineer salary in this market? +
The average Cloud Engineer salary in this market is around ₹12L. The typical pay range runs from ₹9L to ₹16L.
What does an experienced Cloud Engineer earn in this market? +
Experienced Cloud Engineers in this market typically earn towards the upper end of the range — up to ₹16L and above at senior or lead level. Specialisations in AI, cloud, or advanced analytics can push compensation higher.
What is the average Site Reliability Engineer salary in this market? +
The average Site Reliability Engineer salary in this market is around ₹22L. The typical pay range runs from ₹16L to ₹30L.
What does an experienced Site Reliability Engineer earn in this market? +
Experienced Site Reliability Engineers in this market typically earn towards the upper end of the range — up to ₹30L and above at senior or lead level. Specialisations in AI, cloud, or advanced analytics can push compensation higher.
What certificate will I receive? +
You'll earn a Greater Insights Certificate of Completion in AWS DevOps — evidence of the practical, job-ready skills you built, and shareable with employers.
Is the certificate recognised or accredited? +
It's a professional certificate of completion — not a university or government accreditation. Its value comes from what it represents: rigorous, live instructor-led training and hands-on projects that employers recognise as real, current skills.
How do I earn the certificate — is there an exam? +
There's no high-stakes exam. You earn the certificate by completing the programme — attending the live sessions and finishing the hands-on projects and labs that demonstrate your skills.
Can I add it to LinkedIn and use it for job applications? +
Yes — it's designed to be shared. Add it to your LinkedIn profile and CV right after completion, and use it in job applications as proof of the skills you built.
Will it help me get hired? +
It signals to employers that you've completed practical, hands-on training in AWS DevOps — a real credibility boost. It's not a job guarantee, but combined with your portfolio and interview it strengthens your profile.
Does the certificate expire? +
No — once earned, it's yours permanently and doesn't expire. You also keep your learning materials to reference throughout your career.
How is the course delivered? +
It's a live, instructor-led online course with hands-on cloud labs — not self-paced video. You attend scheduled sessions with your trainer and classmates, ask questions in real time, and work through labs in the cloud.
How does this compare to a self-paced course? +
The difference is live, instructor-led sessions with a real cohort — real-time help, feedback, and accountability, instead of videos you work through alone. You still keep the recordings and materials, but the live guidance is what keeps you moving.
Is this the same as a university degree? +
No — it's a focused, practical, industry-oriented programme, not an academic degree. You build job-ready skills through live training and hands-on projects, and earn a Greater Insights certificate to show employers. It complements a degree rather than replacing it.
Can I attend if I'm in a different time zone? +
Sessions run at scheduled times (shown on this page). The course is fully online, so you can join from anywhere — check the schedule to confirm the timings work for you, or ask a learning advisor about alternative cohorts.
How much time do I need each week, and can I do it while working full-time? +
The live online format is built for working professionals — sessions are scheduled to fit around a job. Alongside the live sessions, set aside focused time for hands-on labs and practice; your trainer outlines the weekly commitment during onboarding.
What software or equipment do I need? +
Just a computer with a stable internet connection and a web browser. The course runs on cloud labs, so tools are provided online — no heavy local setup. You'll work with the tools your programme uses entirely in the cloud.
What support do I get during the course? +
You work directly with a live instructor throughout. Ask questions during sessions, collaborate with classmates on labs, and get feedback on your work. If you fall behind or hit a technical issue, your trainer and the Greater Insights team help you catch up.
Are sessions recorded — what if I miss one? +
Live attendance is where the real learning happens, so try to attend. If you must miss a session, tell your trainer in advance — your learning materials (and recordings, where available for your cohort) help you catch up. Ask your learning advisor about recording access.
How much does the course cost, and what payment options are there? +
The current fee is ₹12,600, with EMI options from ₹1,138/month. You can also request a quote or talk to a learning advisor for the latest pricing and plans.
Can I get a refund if it's not the right fit? +
Yes — if you've paid in full for a scheduled batch, you can request a full refund within 7 days of enrolling (before the batch starts); after that we can usually arrange a credit or a free transfer to a later batch, and if we cancel a batch you're refunded in full. See our Refund & Cancellation Policy at greaterinsights.in/refund-policy for the details.
What happens to my materials and access after the course ends? +
You keep your learning materials permanently — notes, code, labs, and resources — to revisit anytime as you apply your skills on the job.
Is there any support after the course ends? +
Yes — you stay connected with your trainer and the Greater Insights team after the programme, so you can ask follow-up questions and get guidance as you put your skills to work.
Can I book this for my team, or get 1:1 training? +
Yes — we run private cohorts for companies and offer 1:1 / small-group training. Talk to a learning advisor to scope a team plan or a personalised track.
What happens right after I enrol? +
You'll get onboarding details — how to access the learning platform and cloud labs, your cohort schedule, and a welcome from the GI team. Your learning advisor walks you through the first steps.
Is there peer learning or a community? +
Yes — you learn alongside a live cohort, collaborate with classmates on labs, and stay connected with the Greater Insights community and team beyond the course.
How long is the course? +
The full duration is listed in the course curriculum section on this page — check there for the exact hours and schedule.
Ready to become an AWS DevOps expert?
Course Details

AWS DevOps — a closer look

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