Best AWS DevOps Training in Hyderabad | CI/CD, Kubernetes, Terraform | Placement | Ameerpet

AWS DevOps Training in Hyderabad

Why AWS DevOps is the Hottest Skill in Hyderabad Right Now

Walk through any tech park in Gachibowli or Hi-Tec City and you'll find the same pattern — companies are desperately looking for engineers who understand both cloud infrastructure and automation pipelines. That gap is exactly what our AWS DevOps Training in Hyderabad fills — including AI-powered DevOps tools like Amazon Q and CodeWhisperer. Over 60% of cloud job postings in Hyderabad mention AWS DevOps skills specifically — and that number keeps growing every quarter.

Our AWS DevOps with AI Training in Hyderabad is built around what companies actually want in 2026 — not outdated slides, but real pipelines built on real AWS accounts. You'll push code, watch it get tested automatically, deployed to containers, and monitored in production — all in your own lab environment on a live AWS account.

What makes our Best AWS DevOps Training in Ameerpet — also called AWS DevOps with AI Course in Hyderabad — different from other institutes? Our trainer is a working DevOps engineer — not someone who read documentation and decided to teach. Every concept comes with a "here's where this matters in a real job" context. And our AWS DevOps Training with Placement in Hyderabad doesn't stop at the certificate — we stay with you until you get the offer.

📌 Prerequisites

Basic computer knowledge is enough. We cover Linux fundamentals from scratch — no prior AWS or DevOps experience required.

Also explore: AWS Cloud Training · AWS Data Engineer · Multi Cloud DevOps Training · GCP Cloud + DevOps

🎯 Who Should Join Our AWS DevOps Training Institute in Hyderabad?

Fresh graduates (B.Tech / BCA / BSc) ready to build a cloud career
Developers (Java, Python, .NET) wanting DevOps + AWS skills
System admins and network engineers moving to cloud automation
Manual testers targeting DevOps QA / automation roles
Working professionals targeting a promotion or career switch
Telugu professionals in USA wanting AWS DevOps Online Training with Placement

Full Syllabus

What You Will Learn

24 modules in two phases — AWS Cloud foundations, then DevOps engineering with AI in every module — plus a three-tier microservices capstone project. Every topic maps to real interview questions and Hyderabad job requirements.

Phase 1: AWS Cloud Foundations

Cloud Fundamentals and Account Setup

▼

Cloud computing models, AWS global infrastructure (regions and AZs), Free Tier and billing basics
AWS CLI and console setup
AI: Amazon Q Developer, asking AWS questions in natural language

IAM — Identity and Access

▼

Users, groups, roles, JSON policies, MFA and root account hardening
Cross-account roles, resource-based policies, IAM Identity Center and permission boundaries
AI: Drafting and reviewing least-privilege IAM policies; spotting over-privileged access

EC2 and Auto Scaling

▼

Instance types, AMIs, key pairs, security groups, user data, EBS-backed vs instance store
Launch templates, Auto Scaling Groups, Elastic Load Balancers (ALB/NLB), target groups, placement groups
AI: Amazon Q Developer for EC2 troubleshooting, right-sizing and scaling-policy suggestions

Storage — EBS and EFS

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Volume types, snapshots, EFS mount targets and performance modes
Backup strategy

Amazon S3

▼

Buckets, objects, versioning, bucket policies and static website hosting
Storage classes, lifecycle rules, cross-region replication, access points and event notifications
AI: Generating S3 bucket policy JSON from plain English; AI-explained storage cost optimization

VPC Networking

▼

CIDR planning, subnets, route tables, Internet Gateway, public vs private subnets
NAT Gateway, VPC Peering, VPC Endpoints, Transit Gateway, NACLs vs Security Groups
AI: AI-assisted CIDR and subnet planning; Amazon Q for network-reachability troubleshooting

Route 53 (DNS)

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Hosted zones, record types and domain registration
Routing policies (weighted, latency, failover) and health checks
AI: AI-generated DNS migration checklist

CloudFront (CDN)

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Distributions, origins and cache behaviors
Origin Access Control, signed URLs and signed cookies
AI: AI-assisted cache-policy tuning

SNS and SQS Messaging

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Pub/sub with SNS, queues with SQS, fan-out pattern and dead-letter queues
AI: Designing event-driven messaging architecture with Claude

CloudWatch — Observability

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Metrics, custom metrics, Logs, Logs Insights, Alarms, Dashboards and CloudWatch Agent
AI: AI-driven anomaly detection and alarm-threshold suggestions

AWS Lambda

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Serverless concepts, function lifecycle, triggers, layers and packaging
VPC-integrated Lambda, environment variables and Secrets Manager, cold starts, error handling and DLQs
AI: Claude Code for generating, reviewing and performance-tuning Lambda functions

EventBridge

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Event buses, rules and patterns, Scheduler, cross-account and cross-region events
AI: AI-generated event-pattern JSON from plain-English rules

ECR — Container Registry

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Repositories, image tagging strategy, image scanning and lifecycle policies
AI: Docker Scout and AI vulnerability triage on scanned images

ECS and EKS — Architecture Overview

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Fargate vs EC2 launch type, task definitions vs pods
When to choose ECS vs EKS (deep-dive comes in Phase 2)
AI: Amazon Q Developer for container platform architecture Q&A

AWS Lab and Review

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Mini-project: VPC, EC2 with ALB, S3, IAM and CloudWatch wired together end to end
AWS cost and security review
AI: Claude Code architecture review of the student's build

Phase 2: DevOps Engineering

Linux Fundamentals

▼

Filesystem hierarchy, users and permissions (chmod/chown), package managers (apt/yum)
Bash scripting basics, cron, process management and systemd services
Ports, SSH key authentication, firewalls (ufw/iptables basics) and remote administration
Log analysis (journalctl, /var/log), disk/CPU/memory diagnostics and a real-world incident drill
AI: Claude and ChatGPT Codex for shell scripts, firewall rules, log-parsing one-liners and service triage

Git and GitHub Collaboration

▼

init, clone, commit, branch, merge, .gitignore and resolving conflicts
Rebase vs merge, cherry-pick, stash, branching strategies (GitFlow, trunk-based, GitHub Flow)
Pull requests, code review etiquette, branch protection rules and CODEOWNERS
AI: GitHub Copilot for commit messages, PR descriptions, PR summaries and AI-assisted code review

Docker and Containers

▼

Containers vs VMs, Docker architecture, images vs containers, Docker Hub
Layers and caching, multi-stage builds, .dockerignore and image size optimization
Bridge, host and overlay networks; volumes vs bind mounts; data persistence
Docker Compose: multi-container apps, service dependencies, environment configuration and override files
Docker Scout vulnerability scanning, image hardening and best-practice audit of a real Dockerfile
AI: Docker AI Agent (Gordon) for Dockerfile review, optimization and troubleshooting; AI-generated docker-compose.yml

CI/CD with GitHub Actions

▼

CI/CD concepts, pipelines as code, workflows, jobs, steps, runners and triggers
Matrix builds, secrets and environments, reusable workflows and composite actions
CI pipeline: build, test and push a Docker image to Amazon ECR
CD pipeline: deploy to EC2/ECS on merge, environment approvals and rollback strategy
AI: GitHub Copilot for workflow YAML, secrets and permissions audit, rollback and canary-release patterns

CI/CD with Jenkins (Overview)

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Jenkins architecture, freestyle vs pipeline jobs, plugins, agents and executors
Jenkinsfile syntax, declarative pipelines, stages and post actions
GitHub Actions vs Jenkins: when employers still use each
AI: AI-assisted Jenkinsfile generation and troubleshooting

Terraform — Infrastructure as Code

▼

Why IaC, providers, resources, terraform init/plan/apply and state file basics
Input variables, locals, outputs, data sources and conditional expressions
Reusable modules, module composition and versioning
S3 and DynamoDB remote backend, state locking, workspaces and drift detection
Provisioning real AWS infrastructure (VPC, EC2, S3, IAM) and importing existing resources
Policy-as-code intro (OPA/Sentinel concepts) and cost estimation
AI: Claude Code and GitHub Copilot for scaffolding modules, explaining terraform plan and reviewing IaC before merge

Ansible — Configuration Management

▼

Agentless architecture, inventory files, ad-hoc commands and YAML playbook basics
Variable precedence, Jinja2 templates, handlers, conditionals and loops
Roles, Ansible Galaxy and role dependencies
AWS EC2 dynamic inventory, rolling updates and serial deployment strategy
AI: AI-generated playbooks and Jinja2 templates; Claude for debugging failed Ansible tasks

Kubernetes and Amazon EKS

▼

Kubernetes architecture, control plane, nodes, kubectl basics and cluster setup (kind/minikube)
Pods, ReplicaSets, Deployments, rolling updates and rollbacks
Services (ClusterIP, NodePort, LoadBalancer), Ingress controllers and DNS in Kubernetes
ConfigMaps, Secrets, PersistentVolumes, PVCs and StorageClasses
Amazon EKS deep-dive: managed control plane, node groups vs Fargate profiles, IRSA
Helm: charts, templating, values files, releases, upgrades and rollbacks
HPA, resource requests and limits, liveness and readiness probes, RBAC and common failure patterns
AI: kubectl-ai for natural-language commands; K8sGPT diagnostics lab on a broken cluster; Amazon Q for EKS troubleshooting

Monitoring and Observability

▼

Datadog: agent installation, dashboards, monitors and alerting, APM basics and log pipelines
Prometheus: architecture, PromQL basics, exporters and scrape configs
Grafana: data sources, dashboards, alerting rules, Prometheus and Datadog views together
AI: Datadog Bits AI for root-cause analysis; AI-assisted PromQL queries and dashboard panels

Projects

Capstone Project: Three-Tier Microservices on AWS

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Three-tier microservices app (frontend, backend API, database) containerized with Docker
All AWS infrastructure (VPC, subnets, IAM roles, EKS, ECR, Route 53, CloudFront) provisioned with Terraform modules
Server configuration automated with Ansible where needed
GitHub Actions pipeline: build, test, scan, push to ECR and deploy to EKS with Helm
Observability with Datadog (APM and logs) and Prometheus with Grafana (cluster metrics)
AI throughout: Claude Code reviews Terraform and Helm code, K8sGPT diagnoses the cluster, Amazon Q Developer does a final Well-Architected-style review
Deliverables: working deployment on the student's AWS account, GitHub repository with all code, AI-assisted architecture write-up for the resume, and a live walkthrough presentation

🌎 For Students in USA & Abroad

AWS DevOps Online Training — Join from Anywhere

Thousands of Telugu IT professionals in the USA — working in New Jersey, Dallas, Chicago, Atlanta, and California — upskill with our AWS DevOps Online Training to move into higher-paying cloud roles. AWS DevOps skills are in high demand across US companies, and our AWS DevOps Certification Training Online is designed to prepare you for exactly that market.

Our Best AWS DevOps Online Training runs on flexible timings — weekend batches (IST mornings = EST Friday/Saturday evenings) and weekday evening batches (IST 8 PM = EST morning). All sessions are recorded, so missed classes can be caught up without falling behind.

This is a live, trainer-led AWS DevOps Training Online — not a pre-recorded video course. You interact with the trainer directly, get WhatsApp support between sessions, and get the same 15+ real project experience as Hyderabad students. Our AWS DevOps Course Online includes the same placement support — resume review and mock interviews done fully online.

🕐 Batch Timings for USA Students

Weekend batch — Sat & Sun IST morning (EST Friday/Saturday evening)
Weekday evening — Mon–Fri 8 PM IST (EST morning)
All sessions recorded — never miss a topic
Direct WhatsApp access to trainer between sessions

🇺🇸 Why Professionals Choose Our AWS DevOps Online Training with Placement

AWS Certified DevOps Engineer Professional — valued by US companies
Live interactive sessions — not YouTube-style recordings
Trainer with real production-level AWS + Kubernetes experience
Resume building and mock interviews for USA job market
Telugu + English sessions — comfortable for NRI Telugu professionals
Placement support included — resume, mock interviews, referrals

❓ AWS DevOps Course Online — Quick FAQ

Can I get placement support from USA?
Resume review and mock interviews are done fully online. Job referrals are for India-based roles, but AWS DevOps certification and skills are globally valued.

How do I pay from USA?
Bank transfer or UPI — we'll share payment details on WhatsApp. Message 9885543638 to confirm your seat.

Tech Stack

Tools & Technologies You'll Master

Everything covered in our AWS DevOps Training Institute in Hyderabad is industry-standard and actively used by companies hiring right now.

CI/CD

Jenkins GitHub Actions GitLab CI CircleCI

Containers

Docker Docker Compose Kubernetes Helm

Cloud (AWS)

EC2 EKS ECS ECR S3 VPC IAM

IaC

Terraform Terragrunt CloudFormation Ansible

Monitoring

Prometheus Grafana CloudWatch ELK Stack

Security

AWS Secrets Mgr HashiCorp Vault Trivy SonarQube

Hands-On Learning

15+ Real-Time Projects You'll Build

Not sandbox demos — real infrastructure on real AWS accounts that you can show in interviews at Hyderabad and USA companies.

🏗️

End-to-End CI/CD Pipeline

Build a complete pipeline from GitHub push → Jenkins build → Docker image → ECR → EKS deployment. Add SonarQube quality gates and Slack notifications.

🐳

Microservices on Kubernetes

Containerise a 3-tier application (React + Node + MongoDB), write Helm charts, configure HPA, set up Ingress with TLS, and deploy on AWS EKS.

🌍

Multi-Environment IaC with Terraform

Use Terraform modules + Terragrunt to provision dev, staging, and prod AWS environments from a single codebase with S3 state backend.

📊

Full Observability Stack

Set up Prometheus + Grafana dashboards on Kubernetes, configure CloudWatch alarms, ship logs to ELK, and create PagerDuty alerts for production incidents.

🔒

DevSecOps Pipeline

Embed Trivy container scanning, Checkov IaC scanning, and OWASP ZAP DAST into a Jenkins pipeline. Secrets stored in HashiCorp Vault.

🚀

Blue-Green Deployment on EKS

Implement zero-downtime releases with blue-green deployment strategy on AWS EKS using Kubernetes services and ALB Ingress.

Your Instructor

Trained by Someone Who's Done It for Real

Our trainer has 8+ years of hands-on experience building and maintaining DevOps pipelines for companies across finance, healthcare, and e-commerce. He's not someone who read documentation and decided to teach — he's someone who has fixed 3 AM production outages on Kubernetes, managed AWS costs for enterprise clients, and designed CI/CD workflows that process thousands of deployments a day.

What makes the sessions different? He explains the why behind every tool, not just the how-to. When he teaches Terraform, you understand what problem it's solving. When he sets up monitoring, you understand what signal to look for before a system fails.

🏅 AWS DevOps Engineer Pro 🏅 AWS Solutions Architect 🏅 CKA (Kubernetes) 🏅 Terraform Associate

Meet Your Trainer →

Senior DevOps Engineer

AWS DevOps Training Academy, Ameerpet, Hyderabad

"I teach the way I wish I had been taught — with production-grade examples, clear explanations, and no wasted time. Every module is designed around real interview questions and real job tasks."

8+Years Experience

500+Students Trained

15+Live Projects

Career Outlook

AWS DevOps Salaries in Hyderabad — 2026

Hyderabad's IT ecosystem — Hi-Tec City, Gachibowli, Kondapur, and Ameerpet — is actively hiring DevOps engineers at premium salaries.

Experience Level	Job Titles	Hyderabad Salary
Fresher (0–1 yr)	Junior DevOps Engineer, Cloud Support	₹5–8 LPA
1–3 Years	DevOps Engineer, Cloud Engineer	₹8–14 LPA
3–5 Years	Senior DevOps Engineer, SRE	₹14–20 LPA
5+ Years	DevOps Lead, Cloud Architect	₹20–35 LPA

Graduates of our AWS DevOps Course in Hyderabad have been placed at TCS, Infosys, Wipro, Amazon, Capgemini, and Mphasis. See our placement support page for full details on our hiring network.

Placement Support

AWS DevOps Training with Placement — We Don't Just Train

Getting placed in Hyderabad's competitive job market requires more than technical skills — you need a sharp resume, strong interview prep, and the right connections. Our AWS DevOps Training with Placement in Hyderabad provides all three.

📄

ATS Resume Building Your resume is rewritten to pass Applicant Tracking Systems and impress tech leads — not just HR.

🎯

Mock Interview Rounds Technical + HR mock interviews modelled on actual rounds at Hyderabad companies — with detailed feedback.

📚

300+ Interview Questions Real questions collected from Hyderabad companies, covering Kubernetes internals, AWS cost optimisation, and Terraform best practices.

🤝

Direct Job Referrals Active hiring connections at 100+ companies — startups, MNCs, and product companies across Hi-Tec City.

🔄

Support Until Placed We stay with you through every interview round — not just hand you a certificate and wish you luck.

Book Free Demo

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Call: +91 98855 43638

FAQ

Frequently Asked Questions

What is the duration of AWS DevOps Training in Hyderabad?+

Our AWS DevOps Training in Hyderabad is 3 to 4 months. Weekday batches (Mon–Fri, morning or evening) at our Ameerpet centre take around 3 months. Weekend batches take 3.5–4 months. Live online batches are available for students across India and USA.

Can I join AWS DevOps Online Training in Hyderabad as a fresher?+

Yes. Basic computer knowledge is enough — we start from Linux fundamentals in Module 1. Freshers from Ameerpet and all across Hyderabad have successfully completed our AWS DevOps Training with Placement in Hyderabad and got placed. No prior AWS or DevOps experience needed.

Which certifications are covered in this AWS DevOps Training Institute in Hyderabad?+

We prepare you for AWS Certified DevOps Engineer Professional, AWS Solutions Architect Associate, AWS SysOps Administrator Associate, and Kubernetes CKA. Full certification guidance, study materials, and exam prep included.

Can I join AWS DevOps Online Training with Placement from USA?+

Yes! Our AWS DevOps Online Training with Placement runs on flexible timings suited for USA time zones — weekend batches (IST mornings = EST evenings) and weekday evening batches (IST 8 PM = EST morning). Same trainer, same 15+ real projects, same placement support. Many Telugu professionals in the USA have completed our AWS DevOps Training Online and got placed.

What is the salary after Best AWS DevOps Training in Ameerpet?+

AWS DevOps engineers in Hyderabad earn: Freshers ₹5–8 LPA, 1–3 years ₹8–14 LPA, 3–5 years ₹14–20 LPA, Senior roles ₹20–35 LPA. Companies in Hi-Tec City, Gachibowli, and Ameerpet actively hire DevOps engineers after completing our AWS DevOps Course in Hyderabad.

Do you provide placement support after AWS DevOps Training?+

Yes — 100% placement support including ATS-optimised resume building, mock interview rounds (technical + HR), 300+ real interview questions from Hyderabad companies, direct referrals to 100+ hiring contacts, and career mentorship until you get placed.