AWS with DevOps Training in Hyderabad
AWS with DevOps 100% Placement Support
Learn AWS cloud services and the DevOps toolchain — Linux, Git, GitHub Actions, Jenkins, Docker, Kubernetes on EKS, Terraform, Ansible and monitoring — with AI copilots used in every module, and build a three-tier microservices project on AWS.
G4.7★★★★★on Google 5000+ students trained- Duration
- 70 Days
- Mode
- Live Online & Classroom
- Batches
- Weekday & Weekend
- Hands-on
- Three-tier capstone on AWS
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About AWS with DevOps Training in Hyderabad
VR IT Solutions offers the best AWS with DevOps Training in Hyderabad with real-time projects, expert trainers, and 100% placement assistance. Our comprehensive AWS DevOps course in Hyderabad covers AWS Cloud services, DevOps tools, Docker, Kubernetes, Terraform, CI/CD pipelines and more — designed to make you job-ready in 70 days.
- Interview support & resume preparation
- Interview referrals until you get placed
- Real-time job support after you join a company
Course highlights
- Trainers with 8+ yearsCertified industry experts with 8+ years of real-time experience.
- AI copilots in every moduleAmazon Q Developer, Claude Code, GitHub Copilot, K8sGPT and Datadog Bits AI, used on real AWS and DevOps tasks.
- Three-tier capstone projectMicroservices on EKS with Terraform, GitHub Actions, Helm, Datadog and Grafana, deployed on your own AWS account.
- Flexible batchesClassroom in Ameerpet or online, with batches to suit your schedule.
Skills you’ll learn
VR IT Solutions is located in Ameerpet, Hyderabad — the hub of IT training institutes. Our AWS DevOps Training in Hyderabad at Ameerpet is delivered by certified industry experts with 8+ years of real-time experience. Whether you are looking for classroom training in Ameerpet or prefer AWS DevOps online training in Hyderabad from locations like Kukatpally, Madhapur, Hitech City, or Kondapur, we have flexible batches to suit your schedule.
DevOps combines cultural philosophies, practices, and tools that enhance a company's ability to deliver applications and services with greater agility. In the DevOps model, both development and operations teams work together across the entire lifecycle — from development and testing through deployment and operations.
AWS (Amazon Web Services) is the world's most comprehensive cloud platform, offering over 200 fully featured services. Combined with DevOps practices, AWS DevOps Training in Hyderabad helps you learn how organisations deliver software faster, more reliably and at lower cost.
VR IT Solutions is the best AWS DevOps training institute in Hyderabad for learners who want real, hands-on practice. Our AWS with DevOps Training in Hyderabad program runs at our Ameerpet centre and live online, and every AWS DevOps course in Hyderabad batch comes with placement support after the course.
AWS DevOps Real-Time Projects (2026) — Architecture & Pipeline
In our AWS DevOps training in Hyderabad, every project is drawn as a pipeline first — where the code goes, what builds it, where it runs and how it is watched. These are three of the projects you build on your own AWS account.
Three-Tier Microservices on EKS
- 01Codemicroservices app
- 02GitHubpull request
- 03GitHub Actionsbuild · test · scan
- 04Amazon ECRversioned images
- 05TerraformVPC · EKS · RDS
- 06Helm → EKSrolling deploy
- 07ALB + Route 53users
- 08Datadog & Grafanamonitor & alert
The capstone: a three-tier microservices application on Amazon EKS. Terraform creates the network, cluster and database; GitHub Actions builds and scans images into ECR; Helm deploys them; Datadog and Grafana watch the system.
Highly Available Web App on AWS
- 01Usersbrowser
- 02Route 53DNS
- 03ALBload balancer
- 04EC2 Auto Scalingprivate subnets
- 05S3 & EBSstorage
- 06IAMleast privilege
- 07CloudWatchalarms & logs
Connect VPC, EC2 with an Application Load Balancer and Auto Scaling, S3, IAM and CloudWatch end to end, then review the setup for cost and security.
CI/CD to Amazon ECS with Approvals
- 01Feature branchcommit
- 02Pull requestreview & checks
- 03CI workflowbuild & unit tests
- 04Docker imagepushed to ECR
- 05Approvalmanual gate
- 06Deploy to ECSon merge
- 07Rollbackif health fails
A GitHub Actions pipeline that builds and tests on every pull request, pushes the image to ECR and, after approval, deploys to ECS with automatic rollback when health checks fail.
Why Learn AWS with DevOps in 2026?
With speed, rapid delivery, and reliability being the core benefits of DevOps, this skillset is now critical across every spectrum of software development. AWS DevOps engineers are among the highest-paid IT professionals globally, and companies are constantly looking for skilled professionals who can manage both cloud infrastructure and DevOps workflows.
AWS is used by over 1 million active customers worldwide, and AWS DevOps professionals are in steady demand because they handle both cloud infrastructure and delivery pipelines. There is strong demand across MNCs like TCS, Infosys, Wipro, Capgemini, and hundreds of product companies. AWS certification — including the Solutions Architect and DevOps Engineer credentials — remains among the most valued in the industry, with new services and opportunities continuously emerging.
AWS DevOps With AI — How We Use AI in This Course
Every module now ends with an "AI Tools" part. On AWS you use Amazon Q Developer to ask questions in plain English, check IAM policies for extra permissions and troubleshoot EC2. On the DevOps side you use Claude Code and GitHub Copilot to scaffold Terraform modules and GitHub Actions workflows, Docker's AI agent to review Dockerfiles, K8sGPT to diagnose a broken EKS cluster and Datadog Bits AI for root-cause analysis. We treat AI as a fast junior teammate: it writes the first draft, and you learn to review, test and correct it before anything reaches production. That is exactly how DevOps teams in Hyderabad are working in 2026.
Who Should Join This AWS DevOps Course in Hyderabad?
This AWS with DevOps course in Hyderabad is suitable for a wide range of professionals. Software architects, developers, project managers, system analysts, IT managers, and business analysts will all find this course highly relevant. Fresh graduates with a passion for cloud and DevOps are equally welcome, as are working professionals looking to make a career shift into high-paying cloud roles. No prior cloud experience is needed — basic knowledge of object-oriented programming is sufficient to get started.
Students from across Hyderabad — Kukatpally, Madhapur, Kondapur, Hitech City — regularly attend our AWS DevOps training in Ameerpet and finish the course with real project work to talk about in interviews.
AWS with DevOps Course Syllabus
Last updated: October 2026
Our AWS DevOps training in Hyderabad curriculum is designed by industry experts and covers AWS Cloud, DevOps tools, Docker, Kubernetes, Terraform, CI/CD, and real-world end-to-end projects — 26 modules, with AI copilots built into each one. The syllabus is regularly updated to match current industry requirements and AWS certification exam patterns.
- What is cloud computing and the service models
- AWS global infrastructure: regions and availability zones
- AWS Free Tier and billing basics
- Setting up the AWS console and AWS CLI
- AI Tools: Amazon Q Developer to ask AWS questions in plain English
- IAM users, groups, roles and JSON policies
- MFA and securing the root account
- Cross-account roles and resource-based policies
- IAM Identity Center and permission boundaries
- AI Tools: AI to write and review least-privilege policies and find over-privileged access
- Instance types, AMIs, key pairs and security groups
- User data, EBS-backed vs instance store
- Launch templates and Auto Scaling Groups
- Elastic Load Balancers (ALB and NLB), target groups and placement groups
- AI Tools: Amazon Q Developer for EC2 troubleshooting, right-sizing and scaling policies
- EBS volume types and snapshots
- EFS mount targets and performance modes
- Backup strategy for storage
- Buckets, objects and versioning
- Bucket policies and static website hosting
- Storage classes and lifecycle rules
- Cross-region replication, access points and event notifications
- AI Tools: Bucket policy JSON from plain English; AI-explained storage cost savings
- CIDR planning, subnets and route tables
- Internet Gateway, public and private subnets
- NAT Gateway, VPC Peering and VPC Endpoints
- Transit Gateway, NACLs vs Security Groups
- AI Tools: AI-assisted subnet planning; Amazon Q for network reachability issues
- Hosted zones, DNS record types and domain registration
- Weighted, latency and failover routing policies
- Health checks
- AI Tools: AI-generated DNS migration checklist
- Distributions, origins and cache behaviors
- Origin Access Control
- Signed URLs and signed cookies
- AI Tools: AI-assisted cache policy tuning
- Publish/subscribe with SNS
- Message queues with SQS
- Fan-out pattern and dead-letter queues
- AI Tools: Claude for designing event-driven architectures
- Metrics and custom metrics
- CloudWatch Logs and Logs Insights
- Alarms, dashboards and the CloudWatch Agent
- AI Tools: AI-based anomaly detection and alarm threshold suggestions
- Serverless concepts and function lifecycle
- Triggers, layers and packaging
- Lambda inside a VPC, environment variables and Secrets Manager
- Cold starts, error handling and DLQs
- AI Tools: Claude Code to write, review and tune Lambda functions
- Event buses, rules and event patterns
- EventBridge Scheduler
- Cross-account and cross-region events
- AI Tools: Event pattern JSON generated from plain-English rules
- Repositories and image tagging strategy
- Image scanning and lifecycle policies
- AI Tools: Docker Scout and AI-based vulnerability triage
- Fargate vs EC2 launch type
- Task definitions vs pods
- Choosing between ECS and EKS
- AI Tools: Amazon Q Developer for container platform questions
- Mini project: VPC, EC2 with ALB, S3, IAM and CloudWatch connected end to end
- Cost and security review of the setup
- AI Tools: Claude Code reviews the student's architecture
- Linux file system, users and permissions (chmod, chown)
- Package managers: apt and yum
- Bash scripting, cron, processes and systemd services
- Ports, SSH keys, firewalls (ufw, iptables) and remote administration
- Log analysis (journalctl, /var/log) and CPU, memory and disk troubleshooting
- Real-world incident drill
- AI Tools: Claude and ChatGPT Codex for shell scripts, firewall rules and log parsing
- init, clone, commit, branch, merge and .gitignore
- Resolving merge conflicts
- Rebase vs merge, cherry-pick and stash
- Branching strategies: GitFlow, trunk-based and GitHub Flow
- Pull requests, code reviews, branch protection and CODEOWNERS
- AI Tools: GitHub Copilot for commit messages, PR summaries and code reviews
- Containers vs virtual machines and Docker architecture
- Images, containers and Docker Hub
- Dockerfile layers, caching, multi-stage builds and .dockerignore
- Reducing image size
- Bridge, host and overlay networks; volumes and bind mounts
- Docker Compose with dependencies, environment files and overrides
- Docker Scout scanning and image hardening
- AI Tools: Docker AI Agent (Gordon) for Dockerfile review and troubleshooting; AI-generated docker-compose files
- CI/CD concepts and pipelines as code
- Workflows, jobs, steps, runners and triggers
- Matrix builds, secrets and environments
- Reusable workflows and composite actions
- CI: build, test and push Docker images to Amazon ECR
- CD: deploy to EC2 or ECS on merge with approvals and rollback
- AI Tools: GitHub Copilot for workflow YAML, permission audits and canary release patterns
- Jenkins architecture, freestyle and pipeline jobs
- Plugins, agents and executors
- Jenkinsfile and declarative pipelines, stages and post actions
- When to use GitHub Actions vs Jenkins
- AI Tools: AI-assisted Jenkinsfile writing and troubleshooting
- Infrastructure as Code basics, providers and resources
- terraform init, plan and apply; state file basics
- Variables, locals, outputs, data sources and conditions
- Writing, combining and versioning modules
- Remote backend with S3 and DynamoDB, state locking, workspaces and drift detection
- Building VPC, EC2, S3 and IAM with Terraform and importing existing resources
- Policy as code (OPA, Sentinel) and cost estimation
- AI Tools: Claude Code and GitHub Copilot to scaffold modules, explain plans and review code
- Agentless architecture, inventory files and ad-hoc commands
- YAML playbooks, variables and precedence
- Jinja2 templates, handlers, conditionals and loops
- Roles, Ansible Galaxy and role dependencies
- AWS EC2 dynamic inventory, rolling updates and serial deployments
- AI Tools: AI-generated playbooks and templates; Claude for debugging failed tasks
- Kubernetes architecture, kubectl and local clusters (kind, minikube)
- Pods, ReplicaSets, Deployments, rolling updates and rollbacks
- ClusterIP, NodePort, LoadBalancer, Ingress controllers and DNS
- ConfigMaps, Secrets, PersistentVolumes, PVCs and StorageClasses
- EKS: managed control plane, node groups, Fargate profiles and IRSA
- Helm charts, values files, releases, upgrades and rollbacks
- HPA, requests and limits, liveness and readiness probes, RBAC
- Common Kubernetes failure patterns
- AI Tools: kubectl-ai, K8sGPT diagnostics on a broken cluster and Amazon Q for EKS
- Datadog: agent setup, dashboards, monitors, alerts, APM and log pipelines
- Prometheus: architecture, PromQL, exporters and scrape configs
- Grafana: data sources, dashboards and alert rules
- Combining Prometheus and Datadog views in Grafana
- AI Tools: Datadog Bits AI for root-cause analysis; AI-assisted PromQL and dashboards
- Amazon Q Developer for AWS
- Docker AI Agent (Gordon) and Docker Scout for Docker
- K8sGPT and kubectl-ai for Kubernetes and EKS
- Claude Code, GitHub Copilot and ChatGPT for Terraform and Ansible
- GitHub Copilot for GitHub Actions
- Datadog Bits AI for monitoring
- Claude and ChatGPT Codex for Linux and scripting
- Claude Code, GitHub Copilot and Gemini CLI for coding and reviews
- Claude for IaC, architecture reviews, runbooks, READMEs and interview preparation
- Frontend, backend API and database containerized with Docker
- VPC, subnets, IAM roles, EKS, ECR, Route 53 and CloudFront built with Terraform modules
- Server configuration with Ansible where needed
- GitHub Actions pipeline: build, test, scan, push to ECR and deploy to EKS with Helm
- Datadog for APM and logs; Prometheus and Grafana for cluster metrics
- Claude Code reviews Terraform and Helm, K8sGPT checks the cluster, Amazon Q Developer gives a Well-Architected review
- Deliverables: live deployment on the student's AWS account, GitHub repository, AI-assisted architecture write-up and a final presentation
Best AWS DevOps Training Institute in Hyderabad — Why VR IT Solutions?
Industry Expert Trainers
All our trainers carry 8+ years of real-time AWS and DevOps experience from top MNCs. You learn from professionals who actively build and manage production AWS environments — not just instructors teaching from slides.
Real-Time Project Experience
The course includes hands-on project work covering the full AWS DevOps architecture — a mini project connecting VPC, EC2 with ALB, S3, IAM and CloudWatch, and a capstone where you deploy a three-tier microservices application on EKS with Terraform, GitHub Actions, Helm, Datadog and Grafana on your own AWS account. By course completion, you will have tangible project experience ready to present in interviews.
AWS Certification Guidance
We provide complete preparation for AWS Solutions Architect Associate and AWS DevOps Engineer Professional certifications, including practice tests, exam strategies, and mock assessments to maximise your chances of clearing on the first attempt. Our AWS certification guidance is one of the strongest aspects of the program.
AWS DevOps Training with Placement in Hyderabad
Our placement team actively supports students with resume building, mock interviews, LinkedIn profile optimisation, and direct referrals to hiring companies. We have placed hundreds of students in top MNCs across Hyderabad, Bangalore, Pune, and beyond. We offer 100% placement assistance and a Placement Assistance Programme for eligible candidates — making our AWS DevOps Training and Placement Support in Hyderabad one of the most sought-after AWS DevOps training in Hyderabad programs in Ameerpet.
Flexible Batches & Lifetime Access
Weekday, weekend, and fast-track batches are available to fit your schedule. All sessions are recorded, backup classes are provided, and our support team remains accessible even after your course ends.
If you are searching for the best AWS DevOps training in Hyderabad with real hands-on experience and strong placement support, VR IT Solutions in Ameerpet is the right choice. Our AWS DevOps training and placement program has helped hundreds of students land roles at top MNCs — and we continue to do the same for every new batch.
So, what are you waiting for? Join now, master AWS with DevOps, and land a highly paid role in one of the fastest-growing domains in IT.
Hands-on practice, real-time projects and dedicated placement help are why learners choose us as the best AWS DevOps training institute in Hyderabad.
AWS DevOps Course Fee in Hyderabad
Our AWS DevOps course fee in Hyderabad is kept straightforward with no hidden charges. The fee covers the complete 70-day program — all AWS modules, DevOps tools, Docker, Kubernetes, Terraform, the AI tools used in each module, the three-tier capstone project, and full AWS certification guidance for Solutions Architect and DevOps Engineer Professional exams.
EMI options are available for students who prefer to pay in instalments. We also run periodic batch discounts — call us at +91-9032734343 or visit our Ameerpet centre to get the current fee details and check for any ongoing offers. Corporate and group enrolments are handled separately — reach out directly for a customised quote.
AWS and DevOps Training in Hyderabad — One Course, Ameerpet and Online
Many students search separately for AWS training in Ameerpet and for DevOps, then realise that companies hire for both skills together. Our AWS and DevOps training in Hyderabad covers both in one 70-day program: core AWS services first, then Git, Jenkins, Docker, Kubernetes on EKS, Terraform and Ansible on top of them, with AI tools such as Amazon Q Developer used in every module.
Classes run at our Ameerpet centre and live online. If you are comparing an AWS DevOps institute in Hyderabad, ask to see the projects — ours end with a three-tier capstone that you build, deploy and monitor on AWS yourself, and that you can walk an interviewer through step by step.
For anyone asking which is the best institute for AWS and DevOps in Hyderabad, our answer is simple: attend a free demo, meet the trainer and look at the syllabus before you decide. Placement support — resume, mock interviews and referrals — is included for every student.
Career Opportunities After AWS DevOps Training in Hyderabad
The demand for AWS DevOps engineers in Hyderabad is growing faster than most other IT roles. BFSI, e-commerce, healthcare, and product companies are all scaling their cloud infrastructure on AWS and need professionals who can manage both deployments and pipelines. After completing our AWS DevOps course in Hyderabad, students typically move into roles such as:
- AWS DevOps Engineer — managing CI/CD pipelines, deployments, and cloud infrastructure
- Cloud Infrastructure Engineer — designing and maintaining AWS environments at scale
- Site Reliability Engineer (SRE) — ensuring uptime, performance, and reliability of cloud systems
- Kubernetes Administrator — managing container workloads on EKS and other platforms
- Terraform / IaC Engineer — automating infrastructure provisioning across cloud environments
- AWS Solutions Architect — designing end-to-end cloud architectures for enterprise clients
Salaries for AWS DevOps professionals in Hyderabad depend on your skills, projects and the company, and they grow quickly with hands-on experience and an AWS certification.
From your first class to your first project at work
We stay with you after the course ends — through interviews, placement, and your first months on the job.
- Free demo classMeet the trainer and see how classes run before you pay.
- Live trainingOnline or classroom at Ameerpet, with hands-on practice every session.
- Real-time projectWork through a real implementation scenario from start to finish.
- Course certificateGet your course completion certificate from VR IT Solutions.
- Resume & mock interviewsResume review and practice interviews with experienced professionals.
- Placement assistanceInterview referrals and guidance until you get placed.
- Job supportStuck on a task in your new job? Our trainers help you solve it.
What our students say on Google
G4.7★★★★★See all reviews on GoogleThis is Venkat and I have recently undergone a course in Aws DevOps online training. The study material is best, the faculty is good,he is explaing very well and get hands-on experience on live projects.
Hi I'm Dasararh
I have Join VRIT Solutions to transform my future. VRIT is the right place to sharpen your Salesforce training skills while gaining cutting-edge experience through real time examples and live projects. Faculty covered in real time examples and practical oriented I joined this course in 2025 and now working in a reputed healthcare company.I would strongly recommended to chose VR IT Solutions for Salesforce online training .
Thanks again for VR IT .
One of the top institutes for training, with faculty member Ashok Kumar being highly knowledgeable in the subject.
AWS with DevOps course notes
1 module · 75 pages of notes, prepared by our trainers. Students read them online after logging in, along with interview questions and real-time scenarios.
Preparing for AWS with DevOps interviews?
Read free interview questions and real-time scenarios with answers. Our students get all 181+ in the Job Ready Hub.
Batch timings
Pick a slot that fits around college or work. New batches start every month.
Book your slot- Morning7 – 9 AM
- Afternoon12 – 2 PM
- Evening6 – 8 PM
- WeekendSat & Sun
- Fast trackOn request
- One-to-one training
- Backup classes
- Free resume preparation
- Mock interviews
- Job support
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Get your course completion certificate
- Issued by VR IT Solutions when you complete the course and the real-time project
- Every certificate has its own certificate ID
- Add it to your resume and LinkedIn profile
AWS with DevOps Online Training in USA, UK & Canada
Looking for AWS with DevOps online training from the USA, UK or Canada? Join our live online batches from anywhere — classes run in time slots that suit your time zone, every session is recorded for revision, and you get the same real-time project, certificate and placement support as our Hyderabad students.
- USAEST & PST evening slots
- UKGMT / BST slots
- CanadaEST & CST slots
- WeekendSat & Sun, all time zones
Visit our Ameerpet centre
- 506/A, Aditya Enclave, Nilagiri Block, 5th Floor, Ameerpet, Hyderabad – 500016
- Monday to Saturday, 9 AM – 7 PM
- +91 90327 34343
- info@vritsol.com
AWS DevOps Training FAQs | VR IT Solutions
AWS DevOps combines Amazon Web Services cloud infrastructure with DevOps practices like CI/CD, automation, and containerization. This combination is critical for companies migrating to the cloud and building scalable delivery pipelines, which is why AWS DevOps engineers are among the most actively hired professionals globally.
The training covers AWS core services including IAM, EC2, S3, VPC, Route 53, CloudFront, SNS, SQS, CloudWatch, Lambda, EventBridge, ECR, ECS and EKS, along with Linux, Git, GitHub Actions, Jenkins, Docker, Kubernetes, Terraform, Ansible, Datadog, Prometheus and Grafana. Students implement end-to-end CI/CD pipelines on real cloud infrastructure.
Yes. Every module has an AI Tools part. You work with Amazon Q Developer on AWS, Claude Code and GitHub Copilot for Terraform and GitHub Actions, Docker's AI agent for Dockerfiles, K8sGPT for Kubernetes troubleshooting and Datadog Bits AI for monitoring. You also learn to review and test what the AI writes before using it.
Basic knowledge of Linux and familiarity with any programming language is helpful. However, our trainers cover all foundational concepts from the beginning, and many students with no prior cloud experience have successfully completed this program.
The training is completed in 70 days. Morning, evening, and weekend batches are available in our Ameerpet classroom and as live online training, so both students and working professionals can join.
The AWS Certified Solutions Architect Associate and the AWS Certified DevOps Engineer Professional are the most recognized certifications for this career path. Our trainers provide complete exam preparation support including practice tests and topic-wise revision.
You build a highly available web app on AWS (VPC, EC2 with ALB and Auto Scaling, S3, IAM and CloudWatch), a GitHub Actions CI/CD pipeline that deploys to Amazon ECS with approvals and rollback, and a three-tier microservices capstone on Amazon EKS with Terraform, Helm, Datadog and Grafana.
Entry-level AWS DevOps engineers typically earn between 6 and 15 LPA in India. With 3 to 5 years of hands-on project experience, professionals commonly earn 20 to 40 LPA in top product companies and global IT firms.
Absolutely. VR IT Solutions offers free demo sessions for all courses. You can attend a live class, interact with the trainer, and get a feel for the training quality before making any commitment. Just reach out to our team and we will schedule one for you.
We provide end-to-end placement assistance — from building a job-ready resume to conducting mock interviews with industry experts. Our team actively shares job openings, refers students to hiring companies, and supports you until you land your first role.
Yes. Every trainer at VR IT Solutions has between 8 and 13 years of hands-on industry experience. They have worked on real enterprise projects and bring that practical knowledge directly into the classroom, which makes a significant difference when you face real job interviews.
Course Training
Industry-certified · Real-time projects · 100% Placement Support
Call us: +91-9032734343