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Cloud & DevOps · Intermediate

AWS Cloud Training in Delhi / NCR

Master AWS Cloud in Delhi / NCR — move into AWS Solutions Architect roles paying ₹9–16 LPA, rising to ₹30L at senior level.

★★★★★ 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: 07 Sep 2026Filling Fast
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Cloud & DevOps · Intermediate
AWS Cloud
EC2LambdaS3DevOps
₹21,000 ₹35,000 40% off
⏰ ⚡ Flash sale · 40% off · EMI from ₹1,896/mo
Next batch 07 Sep 2026
🎓 Virtual Instructor-led
What's Included
🎓
Instructor-led sessions
🧪
Hands-on labs
🎯
Capstone project
🏆
GI Certificate

Trusted by leading enterprises

Soaring Demand — and Where It Takes You

Real salaries
Min, average, max by role
Real hiring companies
Who's actually recruiting
high demand
Skilled cloud architects and engineers specializing in AWS, Azure, and GCP remain in high demand for infrastructure implementation and design. · NASSCOM

Cloud adoption keeps compounding, and the engineers who can design, automate and run that infrastructure reliably remain among the most in-demand professionals in technology.

Roles this programme prepares you for
Cloud EngineerAWS Solutions ArchitectDevOps EngineerCloud Infrastructure EngineerSite Reliability EngineerPlatform EngineerCloud Operations EngineerBackend EngineerCloud Security Engineer

Become a Cloud Engineer

Design and deploy scalable AWS infrastructure using IaC, manage cloud services, and optimize costs daily.

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

Become an AWS Solutions Architect

Design enterprise cloud architectures aligned with business needs, select AWS services, ensure high availability.

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

Become a DevOps Engineer

Build CI/CD pipelines, automate infrastructure provisioning, manage deployments, and enable developer velocity.

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
18-28L
Annual compensation range for mid-level professionals
· Payscale India
35-50L
Senior architect & lead engineer salary band
· AmbitionBox Salary Data
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
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
89%
Enterprises migrating workloads to cloud platforms
· IDC Cloud Adoption Index
72%
Organizations implementing CI/CD pipelines
· Forrester DevOps Maturity Report
K8s, AWS
Most in-demand certifications & platforms
· Linux Academy Skills Report
91%
Job postings requiring Kubernetes experience
· TrustRadius Cloud Skills Gap

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

Upcoming Batches

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

Weekday Weekend
DatesScheduleModeDurationPrice
07 Sep – 11 Sep 2026
Monday
all session dates
9:30 AM–5:30 PM IST 🎓 Virtual Instructor-led 5 days ₹21,000
₹35,000
Session datesWeekday batch
Mon 7 SepTue 8 SepWed 9 SepThu 10 SepFri 11 Sep
10 Oct – 08 Nov 2026
Saturday
all session dates
10:00 AM–2:00 PM IST 🎓 Virtual Instructor-led 5 weekends ₹21,000
₹35,000
Session datesWeekend batch
Sat 10 OctSun 11 OctSat 17 OctSun 18 OctSat 24 OctSun 25 OctSat 31 OctSun 1 NovSat 7 NovSun 8 Nov
Enterprise
Custom Date
Custom Schedule
Your timing & location
⚡ Any Mode Flexible Custom pricing

Can't find a suitable batch? Contact us

About This Course

This AWS Cloud Training course takes you from foundational concepts through advanced production deployment patterns across a full 40-hour curriculum. You'll master designing scalable cloud architectures, configuring identity and access controls, building secure virtual networks, provisioning compute resources, and managing both relational and NoSQL databases on AWS. Whether you're a Cloud Engineer, Solutions Architect, DevOps Engineer, or Backend Engineer, you'll develop hands-on expertise in the core AWS services and deployment practices that power modern cloud infrastructure.

Throughout the course, you'll build real-world solutions using AWS Management Console, AWS CLI, AWS CloudFormation, AWS CDK, Amazon EC2, Amazon S3, Amazon VPC, and AWS IAM. You'll implement serverless architectures, automate infrastructure deployment, design event-driven integrations, establish CI/CD pipelines, configure secure access policies, and architect high-availability disaster recovery systems. By completing this training, you'll have the skills to deploy containerized applications, optimize cloud costs, implement security best practices, and troubleshoot production workloads across AWS.

Who Should Attend

The job roles this programme is built for.

Cloud Engineer
Master AWS services configuration and cloud architecture design from fundamentals to advanced.
DevOps Engineer
Learn CI/CD pipelines, Infrastructure as Code, and production-ready deployment strategies.
Solutions Architect
Design scalable, secure architectures using AWS services and Well-Architected Framework principles.
Backend Engineer
Build serverless applications, APIs, and databases on AWS cloud infrastructure.
Site Reliability Engineer
Implement monitoring, logging, observability, and disaster recovery on AWS.
IT Professional transitioning to cloud
Transition from on-premises to AWS with networking, security, and storage fundamentals.
PrerequisitesNetworking basics and Linux familiarity.

What You Will Learn

Deploy containerized applications using ECS and Fargate without managing underlying infrastructure
Design multi-region disaster recovery architectures with automated failover capabilities
Build event-driven serverless applications integrating Lambda, API Gateway, and SNS
Implement infrastructure as code using CloudFormation and CDK for reproducible deployments
Configure least-privilege IAM policies and secrets management for secure workloads
Construct VPC architectures with security groups, NACLs, and load balancing
Optimize cloud spending using cost allocation tags and Compute Optimizer insights
Establish CI/CD pipelines with CodePipeline integrating CodeBuild and CodeDeploy
Create distributed tracing and observability dashboards using CloudWatch and X-Ray
Design high-availability relational and NoSQL database solutions for workload requirements

Skills You Will Gain

Fundamentals & Security
Cloud architecture design
Identity and access management
Virtual networking and security
Compute & Storage
Compute provisioning
Storage management
Database selection
Automation & Operations
Infrastructure as Code
CI/CD implementation
Monitoring and observability
Cost optimization

Tools & Platforms Covered

AWS Management Console
AWS CLI
AWS CloudFormation
AWS CDK
Amazon EC2
Amazon S3
Amazon VPC
AWS IAM
Amazon RDS
Amazon DynamoDB
AWS Lambda
Amazon API Gateway

Course Curriculum

9 modules · hands-on labs · 1 capstone project · 40 hours

M01 Cloud Fundamentals and AWS Overview
5 topics · 3 hrs
  • Cloud computing models: IaaS, PaaS, SaaS
  • AWS global infrastructure: Regions, Availability Zones, Edge Locations
  • AWS Management Console, CLI, and SDK walkthrough
  • Core AWS service categories and shared responsibility model
  • AWS free tier and account setup best practices
🧪 Hands-on Build a multi-region S3 static website using the AWS Console and CLI to explore the global infrastructure firsthand.
Skills AWS Management Console AWS CLI basics Shared Responsibility Model AWS Global Infrastructure
M02 Identity, Access, and Security Foundations
5 topics · 4 hrs
  • IAM users, groups, roles, and policy types
  • Multi-factor authentication and credential management
  • AWS Organizations and Service Control Policies
  • AWS Secrets Manager and Systems Manager Parameter Store
  • Least-privilege and security best practices
🧪 Hands-on Implement a least-privilege IAM role hierarchy with MFA enforcement and store application secrets in AWS Secrets Manager.
Skills AWS IAM Secrets Manager AWS Organizations Security Best Practices
M03 Networking with Amazon VPC
5 topics · 5 hrs
  • VPC architecture: subnets, route tables, and gateways
  • Internet gateways, NAT gateways, and VPC peering
  • Security groups and network ACLs
  • Elastic Load Balancing: ALB, NLB, and CLB
  • Amazon Route 53 DNS and routing policies
🧪 Hands-on Build a multi-tier VPC with public and private subnets, an Application Load Balancer, and Route 53 DNS routing for a sample application.
Skills Amazon VPC Elastic Load Balancing Amazon Route 53 Network Security
M04 Compute Services
5 topics · 6 hrs
  • EC2 instance types, purchasing options, and lifecycle management
  • AMIs, launch templates, and Auto Scaling groups
  • Amazon ECS and AWS Fargate container orchestration
  • Amazon EKS Kubernetes fundamentals on AWS
  • AWS Lambda functions and event-driven compute
🧪 Hands-on Deploy a containerised application on AWS Fargate behind an Auto Scaling group and Application Load Balancer.
Skills Amazon EC2 AWS Fargate Amazon EKS AWS Lambda
M05 Storage Services
5 topics · 5 hrs
  • S3 buckets, storage classes, lifecycle policies, versioning, and replication
  • S3 access control and bucket policies
  • Amazon EBS volume types and snapshot management
  • Amazon EFS for shared file storage
  • Hybrid storage patterns with AWS Storage Gateway
🧪 Hands-on Design and configure an S3 data lifecycle pipeline with versioning, cross-region replication, and tiered storage classes.
Skills Amazon S3 Amazon EBS Amazon EFS Storage Lifecycle Management
M06 Database Services
5 topics · 5 hrs
  • Amazon RDS engine options, Multi-AZ, and read replicas
  • Amazon Aurora architecture and serverless mode
  • Amazon DynamoDB tables, indexes, and capacity modes
  • Amazon ElastiCache for Redis and Memcached
  • Database selection and migration with AWS DMS
🧪 Hands-on Provision a highly available RDS Multi-AZ database alongside a DynamoDB table and connect both to a sample backend application.
Skills Amazon RDS Amazon DynamoDB Amazon ElastiCache Database Selection
M07 Application Integration and Messaging
5 topics · 4 hrs
  • Amazon SNS topics and fan-out patterns
  • Amazon SQS standard and FIFO queues
  • Amazon EventBridge event-driven architectures
  • AWS Step Functions for workflow orchestration
  • Amazon API Gateway REST and HTTP APIs
🧪 Hands-on Build a decoupled order-processing pipeline using SNS fan-out, SQS queues, and an EventBridge rule triggering a Step Functions workflow.
Skills Amazon SNS Amazon SQS Amazon EventBridge Amazon API Gateway
M08 Serverless Application Development
5 topics · 4 hrs
  • Serverless architecture principles and use cases
  • Building and deploying Lambda functions with triggers and layers
  • API Gateway integration with Lambda
  • AWS SAM and the Serverless Application Model
  • Serverless observability and debugging with X-Ray
🧪 Hands-on Deploy a fully serverless REST API using Lambda, API Gateway, and DynamoDB packaged and deployed with AWS SAM.
Skills AWS Lambda AWS SAM Serverless Architecture AWS X-Ray
M09 Infrastructure as Code
5 topics · 4 hrs
  • IaC concepts and benefits
  • CloudFormation templates, stacks, and change sets
  • CloudFormation nested stacks and cross-stack references
  • AWS CDK constructs, stacks, and apps
  • Drift detection, rollback, and stack lifecycle management
🧪 Hands-on Build and deploy a multi-stack AWS CDK application that provisions a VPC, EC2 Auto Scaling group, and RDS instance.
Skills AWS CloudFormation AWS CDK IaC Patterns Stack Lifecycle Management

Hands-On Projects

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

Project themes may include
Multi-Tier VPC with Security Groups
Serverless REST API with Lambda
Infrastructure as Code Pipeline
RDS Database with Auto Scaling
Container Application on ECS
CloudWatch Monitoring Dashboard
Project work is tailored to each cohort and the latest industry practice.
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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.

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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

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

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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.

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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.

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06 · Capstone

Prove it on a real project.

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  • 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
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Frequently Asked Questions

Which companies in Delhi / NCR hire AWS Cloud professionals? +
Top employers in Delhi/NCR actively hiring AWS professionals include TCS, Infosys, HCL Technologies, Wipro, IBM, Accenture, Amazon India, Microsoft India, Google Cloud teams, and numerous mid-size startups and product companies across the NCR region.
Is this course available as classroom training in Delhi / NCR? +
We offer flexible learning options including live online instructor-led training (VILT) accessible from Delhi/NCR, plus on-site team training programs for corporate groups. Contact our training team to discuss customized classroom or hybrid delivery options for your organization.
Can I take this course from Delhi / NCR online? +
Yes, this course is fully available as live online training. Classes are scheduled during IST-friendly batches to accommodate Delhi/NCR participants, with flexible timing options to fit working professionals' schedules.
How does Delhi / NCR compare to other markets for these jobs? +
Delhi/NCR is India's largest IT services hub with strong demand for cloud professionals across enterprises, startups, and MNCs. The region offers competitive opportunities compared to Bangalore and Mumbai, with a growing ecosystem of cloud-native companies and established tech centers.
Which areas in Delhi / NCR should I focus on for AWS Cloud job opportunities? +
The major tech hubs in Delhi / NCR where you'll find the highest concentration of AWS Cloud roles are Gurgaon and Noida. Gurgaon hosts several key employers like HCL, Tech Mahindra, Nagarro, Adobe, Samsung R&D, Paytm, and MakeMyTrip — all actively hiring for cloud infrastructure and AWS-related positions. Noida is another growing center with strong representation from these companies. If you're in Delhi proper, you'll also find opportunities, but Gurgaon and Noida offer the deepest talent markets for AWS professionals right now.
Do the course live batch timings work for people already working in Delhi / NCR offices? +
Yes. Our live batches are scheduled in IST-aligned time slots that fit working professionals in Delhi / NCR. We offer batches during evening and weekend windows so you can attend without clashing with your day job at companies like HCL, Tech Mahindra, Paytm, or other local employers. You can review the full schedule on the course page and pick the batch that suits your office hours best.
Can companies in Delhi / NCR enroll their teams for group or corporate training? +
Yes. We offer corporate and team-based enrollment options designed for organizations in Delhi / NCR looking to upskill their workforce in AWS Cloud. Whether you work at HCL, Nagarro, Adobe, Samsung R&D, Bharti Airtel, or other employers in the region, your company can reach out to discuss bulk licensing, dedicated batches, and customized learning paths. Contact our corporate training team directly for pricing and logistics tailored to your organization.
Which tech hubs in Delhi / NCR have the most AWS Cloud job openings? +
Delhi / NCR's AWS Cloud roles are concentrated in Gurgaon (Gurugram), Noida, and central Delhi. Gurgaon hosts major tech centers where companies like HCL, Tech Mahindra, Nagarro, Adobe, and Paytm maintain large engineering teams. Noida is another significant hub with strong presence from Intel, Samsung R&D, and other product companies. Central Delhi and nearby areas also see demand from MakeMyTrip, Info Edge, and Bharti Airtel. If you're based in or willing to relocate to these districts, your access to AWS Cloud roles widens substantially.
Are the course live batch timings convenient for people working full-time in Delhi / NCR offices? +
Yes. Our live batches are scheduled in IST (Indian Standard Time) and designed to fit working professionals in Delhi / NCR. Evening and weekend slots run after standard office hours (typically 6:30 PM onwards and weekend mornings), so you can attend without clashing with your day job at HCL, Tech Mahindra, Paytm, or other local employers. Check the batch calendar for your preferred timing before enrollment.
Can teams from Delhi / NCR companies enroll together for group training? +
Yes. We offer corporate and group enrollment for teams in Delhi / NCR. Companies like HCL, Nagarro, Adobe, Samsung R&D, Intel, and others regularly enroll cohorts of engineers for upskilling on AWS Cloud. Group pricing, dedicated batch scheduling, and LMS access for your organization are available. Contact our corporate training team to discuss your team's needs, timeline, and company size.
What will I learn in this AWS Cloud course? +
You'll master AWS services configuration and cloud architecture design from fundamentals to advanced. The curriculum covers designing scalable cloud architectures, configuring AWS identity and access, building secure virtual networks with VPC, provisioning compute resources, managing relational and NoSQL databases, developing serverless applications with Lambda, and implementing infrastructure automation with code.
Does the course cover Infrastructure as Code? +
Yes. You'll learn to implement infrastructure automation using AWS CloudFormation and AWS CDK, which allow you to define and deploy cloud resources as code rather than through manual configuration.
Will I work with real AWS tools and services? +
Yes. You'll gain hands-on experience with AWS Management Console, AWS CLI, Amazon EC2, Amazon S3, Amazon VPC, AWS IAM, Amazon RDS, Amazon DynamoDB, AWS Lambda, and Amazon API Gateway.
Are there hands-on labs in this course? +
Yes. The course includes hands-on cloud labs where you apply what you learn in live, practical scenarios on AWS infrastructure.
Does this course cover serverless applications? +
Yes. You'll learn to develop serverless applications with Lambda and implement event-driven application integrations, enabling you to build modern, scalable applications without managing servers.
What about monitoring and disaster recovery? +
The curriculum covers monitoring and troubleshooting cloud workloads, implementing security best practices on AWS, designing high availability and disaster recovery solutions, and optimizing cloud costs and resource usage.
Do you teach CI/CD pipelines? +
Yes. You'll learn to build automated deployment pipelines and understand CI/CD strategies as part of the production-ready deployment focus in the course.
Is this course instructor-led? +
Yes. Greater Insights runs live, instructor-led training online, so you learn directly from an expert instructor with real-time interaction and support.
What do I need to know before starting? +
You need basic networking knowledge and Linux familiarity. If you have these foundations, you're ready to begin.
Do I need AWS experience to enroll? +
No. The course starts from fundamentals and progresses to advanced topics, so beginners are welcome as long as you have the basic prerequisites.
Will this course teach networking basics? +
The course assumes you have basic networking knowledge as a prerequisite. It focuses on applying networking concepts within AWS, such as designing virtual networks with VPC.
Do I need Linux experience? +
Yes, Linux familiarity is a prerequisite. You'll use Linux concepts and command-line operations as part of AWS administration and DevOps practices.
Can someone with no cloud experience take this course? +
Yes, if you meet the networking and Linux prerequisites. The course teaches AWS cloud architecture and services from the ground up, making it accessible to those new to cloud computing.
What is AWS CloudFormation and why is it important? +
AWS CloudFormation lets you define cloud infrastructure using code templates. Instead of manually creating resources, you describe your entire architecture in a file and deploy it consistently and repeatably.
What's the difference between Amazon RDS and Amazon DynamoDB? +
Amazon RDS is a managed relational database service for structured data with SQL. Amazon DynamoDB is a NoSQL database optimized for fast, flexible data storage. Choose RDS for traditional databases and DynamoDB for highly scalable, unstructured data.
How does AWS Lambda enable serverless applications? +
AWS Lambda lets you run code without provisioning or managing servers. You upload your code, and Lambda automatically scales to handle requests, charging only for the compute time you use.
What is Amazon VPC and why do I need it? +
Amazon VPC lets you build a secure, isolated virtual network within AWS. You control IP ranges, subnets, routing, and access rules, enabling you to design networks that match your security and availability requirements.
What role does AWS IAM play in cloud security? +
AWS IAM lets you configure and manage identity and access control. You define who can do what on AWS resources, applying the principle of least privilege to protect your infrastructure from unauthorized access.
How do Amazon S3 and Amazon EC2 work together? +
Amazon S3 provides scalable object storage for any type of data. Amazon EC2 provides compute instances that can read from and write to S3. Together they enable flexible, scalable application architectures.
What is the AWS Well-Architected Framework? +
The Well-Architected Framework is a set of principles for designing secure, reliable, performant, and cost-efficient architectures on AWS. The course teaches you to apply these principles when designing production-ready solutions.
What is the AWS Management Console? +
The AWS Management Console is the web-based graphical interface for accessing and managing AWS services. You'll use it to provision resources, configure settings, and monitor your cloud infrastructure.
How do you implement infrastructure automation instead of manually creating AWS resources? +
You use Infrastructure as Code tools like AWS CloudFormation or AWS CDK to define your entire cloud infrastructure—networks, compute instances, databases, security policies—in code templates. Instead of clicking through the AWS Management Console, you write declarative templates that describe what resources you need. When you deploy the template, AWS automatically provisions everything consistently. This approach lets you version-control your infrastructure, reproduce environments reliably, and avoid configuration drift. Both CloudFormation (JSON/YAML syntax) and CDK (Python, TypeScript, or other languages) accomplish this, but CDK lets you write imperative code with programming constructs if you prefer that style.
Why would you choose AWS Lambda over Amazon EC2 for an application workload? +
You choose Lambda when you want to focus on code without managing servers. With Lambda, you upload your function, specify when it should trigger (API requests, database changes, scheduled times), and AWS handles scaling, patching, and infrastructure. You pay only for execution time, making it cost-effective for unpredictable or bursty workloads. EC2 gives you full control—you pick the instance type, operating system, and manage everything yourself—but requires ongoing maintenance. Lambda works best for event-driven tasks like processing S3 uploads, responding to API Gateway requests, or running background jobs. If you need persistent servers or custom low-level control, EC2 is your choice.
How do you design a secure multi-tier application using VPC, IAM, and security groups? +
You structure your application across subnets within your Amazon VPC: public subnets for load balancers and API endpoints, private subnets for application servers, and isolated subnets for databases. You create security groups (stateful firewalls) that allow traffic only where needed—for example, letting the public tier accept HTTP/HTTPS, the app tier accept requests only from the public tier, and the database tier accept connections only from the app tier. You use AWS IAM to grant each EC2 instance or Lambda function the minimum permissions it needs through roles and policies—your app server shouldn't have permission to delete S3 buckets, for instance. This layered approach limits blast radius: if one component is compromised, attackers can't easily access others.
When do you use Amazon RDS versus DynamoDB, and how does that choice affect your application design? +
You use Amazon RDS (relational database) when your data has complex relationships, you need complex queries with joins, or you require ACID transactions—think customer orders with line items and payment records. RDS handles schema enforcement and SQL. You use DynamoDB (NoSQL) when you have simple, predictable access patterns and need massive scale with low latency—like storing user session data or real-time leaderboards. DynamoDB charges based on read/write throughput, while RDS charges by instance size. Choosing one versus the other early affects how you structure your data model: RDS requires normalization, while DynamoDB favors denormalization. If you're unsure, RDS is safer for traditional applications; DynamoDB shines when you know your query patterns upfront and need extreme scalability.
How does Amazon API Gateway enable event-driven application integrations with Lambda and other services? +
API Gateway acts as the front door for your application. You define REST or HTTP APIs, and for each endpoint, you specify a target—usually a Lambda function, but also other AWS services. When a client hits your API endpoint, API Gateway routes the request to that target, handles authentication (via IAM or API keys), and transforms the response. This decouples your clients from your backend: you can swap Lambda functions, update code, or add new endpoints without touching client code. You can also integrate API Gateway with other services like DynamoDB directly, or chain multiple Lambda functions through event publishing. For example, an API call might trigger a Lambda that processes an image, publishes an event to SNS, and another Lambda subscribes to that event to update a database—all coordinated through API Gateway and event-driven patterns.
What jobs can I pursue after this course? +
Graduates pursue roles including Cloud Engineer, AWS Solutions Architect, DevOps Engineer, Cloud Infrastructure Engineer, Site Reliability Engineer, Platform Engineer, Cloud Operations Engineer, Backend Engineer, and Cloud Security Engineer.
What is an AWS Solutions Architect? +
An AWS Solutions Architect designs scalable, secure cloud solutions tailored to business needs. They work at the mid-level (typically 3–6 years of experience) and are among the most sought-after roles in cloud careers.
What does a Cloud Engineer do? +
Cloud Engineers configure and deploy AWS services, manage infrastructure, and ensure systems run smoothly. Entry-level Cloud Engineers typically have 0–2 years of experience and form the foundation of cloud teams.
What is DevOps and why is it in demand? +
DevOps combines development and operations, automating deployment pipelines and infrastructure management. Demand for DevOps engineers bridging these disciplines is particularly acute, and those with AWS expertise are among the most sought-after professionals.
Is there strong demand for AWS skills? +
Yes. Demand for skilled cloud architects and DevOps engineers specializing in AWS has consistently outpaced supply, and 64 percent of enterprises in the region are expanding AWS usage.
What is the average Cloud Engineer salary in Delhi / NCR? +
The average Cloud Engineer salary in Delhi / NCR is around ₹6L. The typical pay range runs from ₹5L to ₹8L. Source: AmbitionBox.
What does an experienced Cloud Engineer earn in Delhi / NCR? +
Experienced Cloud Engineers in Delhi / NCR 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. Source: AmbitionBox.
What is the average AWS Solutions Architect salary in Delhi / NCR? +
The average AWS Solutions Architect salary in Delhi / NCR is around ₹12L. The typical pay range runs from ₹9L to ₹16L. Source: AmbitionBox.
What does an experienced AWS Solutions Architect earn in Delhi / NCR? +
Experienced AWS Solutions Architects in Delhi / NCR 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. Source: AmbitionBox.
What is the average DevOps Engineer salary in Delhi / NCR? +
The average DevOps Engineer salary in Delhi / NCR is around ₹22L. The typical pay range runs from ₹16L to ₹30L. Source: AmbitionBox.
What does an experienced DevOps Engineer earn in Delhi / NCR? +
Experienced DevOps Engineers in Delhi / NCR 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. Source: AmbitionBox.
What certificate will I receive? +
You'll earn a Greater Insights Certificate of Completion in AWS Cloud — 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 Cloud — 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 ₹21,000, with EMI options from ₹1,896/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 Cloud expert?
Course Details

AWS Cloud — a closer look

About this course

The AWS Cloud Training programme at Greater Insights takes learners from foundational cloud concepts all the way through to production-grade architecture design. Delivered live by practising AWS instructors, the programme combines guided theory with hands-on labs across every major service category — compute, networking, storage, databases, serverless, and DevOps. Learners work directly inside the AWS Management Console and AWS CLI throughout, and the curriculum culminates in a capstone review where participants architect a complete, production-ready workload end-to-end, consolidating every skill built across the programme.

What is AWS Cloud Training?

Amazon Web Services is the world's most widely adopted cloud platform, offering hundreds of managed services that let teams build, deploy, and scale applications without managing physical infrastructure. At its core, AWS provides on-demand compute through Amazon EC2 and AWS Lambda, durable object storage via Amazon S3, relational and NoSQL databases through Amazon RDS and Amazon DynamoDB, and programmable networking with Amazon VPC. What makes AWS genuinely powerful in production is the way these services compose: a Lambda function triggered by an SQS message, fronted by API Gateway, deployed through a CodePipeline, monitored in CloudWatch, and governed by fine-grained IAM policies — every layer managed as code using CloudFormation or the AWS CDK. Mastering that composition is what separates cloud practitioners who can operate at scale from those who only experiment in isolation.

Why learn AWS Cloud Training now

Cloud infrastructure has moved from a cost-saving option to the default operating model for software teams globally, and AWS holds the largest share of that market by a considerable margin. Organisations of every size — startups shipping their first product and enterprises migrating legacy estates — are hiring engineers who can configure VPCs, design for high availability across Availability Zones, build serverless pipelines with Lambda and API Gateway, enforce security through IAM and Secrets Manager, and control spend with Cost Explorer and Budgets. Engineers who can also write infrastructure as code with CloudFormation or AWS CDK, instrument systems with CloudWatch and X-Ray, and deliver software through CodePipeline command a clear premium in the market. Demand consistently outpaces supply, making this one of the most durable skill sets available to a technical professional today.

Who this course is for

  • Career-changers entering cloud engineering — Professionals from IT support, networking, or sysadmin backgrounds who want to transition into a cloud-native engineering role.
  • Junior developers expanding their backend skills — Software developers who write application code but want to own deployment, infrastructure, and AWS service integration end-to-end.
  • DevOps and infrastructure engineers formalising AWS knowledge — Engineers already working with CI/CD or Linux who want structured AWS expertise covering CodePipeline, ECS, EKS, and IaC.
  • Solutions architects moving into AWS — Technical architects from other platforms who need rigorous AWS-specific training across networking, database selection, and Well-Architected design.
  • Cloud operations professionals upskilling — Ops engineers responsible for monitoring, incident response, and cost governance who want to master CloudWatch, CloudTrail, and Trusted Advisor.
  • Backend engineers building cloud-native applications — Developers building APIs or event-driven systems who need confidence with Lambda, API Gateway, SQS, SNS, and DynamoDB in production.

What you’ll be able to build

By the end you will have built — not just studied — the core systems of the field:

  • Multi-tier VPC network with secure access controls — A fully configured Amazon VPC with public and private subnets, NAT gateways, security groups, NACLs, and Route 53 DNS routing policies applied.
  • IAM governance framework with least-privilege policies — A complete identity model using IAM users, groups, roles, managed policies, MFA enforcement, and Secrets Manager integration for credential storage.
  • Auto-scaled EC2 application behind a load balancer — An Amazon EC2 fleet managed by Auto Scaling groups, fronted by an Application Load Balancer, using launch templates and AMIs for repeatable deployments.
  • Serverless REST API with Lambda and API Gateway — A production-pattern serverless application using AWS Lambda functions, API Gateway HTTP APIs, DynamoDB as the data store, and CloudWatch for observability.
  • Infrastructure as Code stack with CloudFormation and AWS CDK — Reusable CloudFormation templates with nested stacks and cross-stack references, plus an equivalent AWS CDK app demonstrating constructs, stacks, and drift detection.
  • End-to-end CI/CD pipeline on AWS — A fully automated delivery pipeline using AWS CodePipeline, CodeBuild, and CodeDeploy implementing blue/green deployment strategies with container image support via Amazon ECR.
  • Production-ready capstone architecture — A complete, multi-service AWS workload designed against the Well-Architected Framework, incorporating high availability, disaster recovery, cost tagging, and CloudWatch operational dashboards.

Career paths & salary

Completing this AWS Cloud Training programme prepares learners for a broad range of in-demand roles. Cloud Engineer and Cloud Infrastructure Engineer positions involve designing and maintaining AWS environments day-to-day, working extensively with VPC, EC2, S3, and IAM. AWS Solutions Architects are responsible for translating business requirements into scalable, cost-efficient architectures — a role that draws heavily on Well-Architected Framework knowledge, multi-region design, and database selection expertise covered in this programme. DevOps Engineers and Platform Engineers focus on CI/CD pipelines built with CodePipeline, CodeBuild, and CodeDeploy, and on container orchestration through ECS, EKS, and Fargate. Site Reliability Engineers and Cloud Operations Engineers depend on CloudWatch, CloudTrail, and X-Ray for observability and incident response. Cloud Security Engineers apply IAM, Secrets Manager, and AWS Organizations to enforce governance at scale. Across all these roles, demand significantly outpaces the supply of engineers with hands-on, service-level AWS competence, making this training a high-value investment for any technical career path.

AWS Cloud in Delhi / NCR: employers & tech hubs

Deciding how to architect a multi-region failover strategy when your application serves millions of users across India is exactly the kind of problem AWS Cloud professionals tackle day to day. That work happens across Delhi / NCR's established technology corridors, including the dense cluster of enterprise and consulting operations concentrated around DLF Towers Jasola and the broader Okhla district. Teams at Wipro and IBM, both active in this corridor, rely on certified AWS practitioners to design resilient infrastructure, automate deployment pipelines, and govern cloud costs at scale — skills that sit at the core of this training.

Employers in Delhi / NCR that recruit for AWS Cloud skills include homegrown product companies such as Paytm and MakeMyTrip, alongside Samsung R&D and Nagarro, which maintain strong engineering footprints in the region. Pan-India technology majors HCL and Tech Mahindra also recruit AWS-certified professionals across cloud delivery and managed services practices, while Adobe employs cloud engineers to support its product and analytics platforms.

Demand for AWS Cloud roles across Delhi / NCR continues to grow year on year, driven by enterprise migration programmes, startup scaling needs, and the expansion of digital services in sectors ranging from fintech to e-commerce. This upward trend means certified professionals consistently find their skills in demand across a broad range of organisations. To fit working schedules, live online instructor-led batches run in IST and are fully joinable from anywhere in Delhi / NCR.

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