AWS with DevOps Training in Hyderabad
Eclasess provides AWS with DevOps training in KPHB, Hyderabad and live online. The course runs for 45 hours across 2 months and covers Amazon Web Services as a cloud platform first, then the DevOps toolchain that runs on top of it.
Key takeaways
- 45 hours across 2 months, in KPHB, Hyderabad, or live online.
- AWS is taught first, as a cloud platform in its own right — 13 service areas from VPC and IAM through S3, RDS and Lambda.
- The DevOps toolchain follows on top: Linux, Git, Jenkins, Ansible, Terraform, Docker and Kubernetes.
- Terraform and Kubernetes are taught across both AWS and Azure providers, so the skill transfers.
- No prior AWS or Linux experience required — both start from fundamentals.
AWS with DevOps Training in Hyderabad
Eclasess provides AWS with DevOps training in KPHB, Hyderabad and live online. The course runs for 45 hours across 2 months and covers Amazon Web Services as a cloud platform first, then the DevOps toolchain that runs on top of it.
That order matters. Most DevOps courses teach the tools and treat the cloud as a place to put them. This one teaches AWS properly — VPC and networking, IAM, EC2, S3, RDS, CloudWatch, Lambda — before moving to Linux, Git, Jenkins, Ansible, Terraform, Docker and Kubernetes. You finish able to build the pipeline and to explain the infrastructure it deploys to.
Training and course materials are provided, with a free demo before every batch.
Why learn AWS with DevOps?
AWS remains the most widely adopted cloud platform, and the engineers who automate deployments onto it are hired separately from the developers who write the application code. A DevOps role on AWS asks for two things at once: knowing the platform, and knowing the tools that provision and deploy to it.
Learning them together is what makes the combination employable. An engineer who knows Jenkins but cannot design a VPC will struggle in an interview, and so will one who knows AWS but has never written a Terraform module. This course covers both halves.
Who is this AWS DevOps course for?
This course suits:
- Software developers moving into release engineering
- System and Linux administrators becoming DevOps or cloud engineers
- QA and build engineers taking on CI/CD responsibility
- Support and network engineers moving into cloud infrastructure
- Graduates with a technical degree who want an infrastructure career rather than an application one
No prior AWS or Linux experience is required. The Linux module covers architecture, shell, filesystems, process and package management from the beginning, and the AWS block starts at regions and availability zones. What helps is comfort working at the command line, because DevOps is a terminal-heavy discipline.
Which AWS services does the course cover?
Thirteen service areas, taught as a cloud platform rather than as a checklist.
| Service area | What you learn |
|---|---|
| Global infrastructure | Regions, availability zones, points of presence, backbone network, custom hardware |
| VPC and networking | Subnets, network ACLs and security groups, ENIs, internet and NAT gateways, VPC peering, elastic IPs, endpoints, VPNs, transit gateways, flow logs |
| Load balancing | Classic, Application and Network Load Balancers, auto scaling groups, target groups, health checks, Direct Connect |
| Route 53 | DNS management, public and private hosted zones, routing policies — simple, failover, weighted, latency and geolocation — traffic flow, Route 53 Resolver |
| IAM | Users, groups, roles, policies and custom policies, multi-factor authentication, API keys, Key Management Service |
| EC2 | Instance types and families, purchasing options (on-demand, spot, reserved, dedicated), AMI images, placement groups, horizontal and vertical scaling, user data |
| CloudWatch | Metrics and custom metrics, alarms, billing alerts, logs and log agent, Log Insights, events, SNS integration |
| CloudTrail and SNS | CloudTrail workflow, log files and events; Simple Notification Service purpose and capabilities |
| Systems Manager | Operations management, OpsCenter, resource groups, Trusted Advisor, automation, maintenance windows, compliance, inventory, Session Manager, Run Command, patch management, Parameter Store |
| RDS and databases | RDS instances and sizes, supported databases, option, subnet and parameter groups, Aurora, snapshots, automated backups, replication, encryption |
| S3 | Buckets, objects and folders, storage tiers, lifecycle policies, versioning, access control, bucket policies, static website hosting, cross-region replication |
| CloudFront, Glacier, EBS | CDN distributions and custom origins; Glacier vaults, archives, Glacier Select and retrieval policies; EBS types, snapshots, backups and mounting volumes |
| Lambda | Concepts, permissions, functions and tools, managing, configuring and invoking functions, runtimes and applications |
Which DevOps tools does the course cover?
Eight tools across the delivery pipeline — the operating system underneath, version control, CI/CD, configuration management, infrastructure as code, containers and orchestration.
| Tool | What you learn |
|---|---|
| Linux | Architecture, shell and kernel, distributions, filesystems, text files, process and package management (RPM, YUM, APT), user accounts, disk and LVM, networking, systemd, server configuration |
| Git | Version control basics, commits and revisions, branches, stashing, rebase, tagging, hooks, administration, Git Flow |
| CI/CD | Continuous integration, continuous delivery and continuous deployment, and why they matter when building a DevOps pipeline |
| Jenkins | Jobs and builds, plugins, CLI and REST API, security, distributed builds, Jenkins internals, pipelines with Groovy and DSL, multi-branch pipelines, agents, high availability |
| Ansible | Inventories (static and dynamic), modules, ad-hoc commands, playbooks and YAML, variables and facts, conditionals, error handling, templates, roles, Ansible Galaxy, protecting secrets |
| Terraform | Providers, resources, arguments and attributes, variables, maps and lookups, modules, local and remote state, taint and update, workspaces, AWS, Azure, Docker and Kubernetes providers, Terraform Registry |
| Docker | Images and Dockerfiles, multistage builds, registries (Docker Hub, ECR, Azure Container Registry), container commands, networking, volumes, Compose, running Docker on ECS and Fargate |
| Kubernetes | Architecture and core concepts, pods, namespaces, scheduling, networking and service discovery, storage and stateful sets, monitoring and troubleshooting, cluster security, Helm, EKS and AKS |
Does the course cover Terraform, Docker and Kubernetes?
Yes, each as its own module. Terraform covers providers, modules, remote state and workspaces, and is used to build an AWS deployment end to end. Docker covers images, Dockerfiles, multistage builds, registries, networking, volumes and Compose. Kubernetes covers architecture, pods, storage, Helm, and both EKS and AKS.
Terraform is taught with the AWS, Azure, Docker and Kubernetes providers rather than AWS alone, so the skill transfers if you change employer or cloud. Kubernetes is likewise covered on both Amazon EKS and Azure AKS.
Jenkins integrations are taught alongside — Git, Ansible, Docker, Kubernetes, Chef, Terraform, JIRA and Python — because in practice the CI server is what ties the toolchain together.
AWS DevOps or Azure DevOps — which should you choose?
Both courses teach the same toolchain — Jenkins, Ansible, Terraform, Docker and Kubernetes. The difference is the cloud underneath and the CI/CD platform on top. Choose AWS if the job descriptions you are reading name AWS services. Choose Azure DevOps if you are targeting Microsoft-stack employers or already work with .NET.
| Aspect | AWS DevOps | Azure DevOps |
|---|---|---|
| Cloud platform | Amazon Web Services | Microsoft Azure |
| Cloud depth in the course | 13 service areas — VPC, IAM, EC2, S3, RDS, Lambda and more | Azure portal, subscriptions, resource manager, ARM templates |
| CI/CD platform | Jenkins-led pipelines | Azure Pipelines, plus Jenkins |
| Work tracking | Separate tooling, commonly JIRA | Azure Boards, built in |
| Shared tools | Jenkins · Ansible · Terraform · Docker · Kubernetes | Jenkins · Ansible · Terraform · Docker · Kubernetes |
| Choose it if | The job adverts you read name AWS services | You target Microsoft-stack or .NET employers |
AWS with DevOps course content
Module 1 — AWS with DevOps: cloud foundations
Global infrastructure: backbone network · regions · availability zones · points of presence · custom hardware. Networking architecture principles: elasticity · high availability · fault tolerance · disaster recovery · data persistence · encryption at rest and in transit.
Module 2 — AWS networking
VPC essentials · subnets · network ACLs and security groups · elastic network interfaces · internet and egress-only gateways · NAT gateway · VPC peering · elastic IPs · DHCP option sets · DNS and endpoints · VPNs · transit gateways · traffic mirroring · flow logs. Operating modes: console, CLI, CloudFormation. Load balancing: OSI layer · Classic, Application and Network Load Balancers · auto scaling and target groups · health checks · third-party load balancers · Direct Connect. Route 53: DNS basics and architecture · hosted zones · routing policies · traffic flow and policy records · Route 53 Resolver.
Module 3 — AWS identity and compute
IAM: users · groups · roles · policies and custom policies · multi-factor authentication · API keys · Key Management Service. EC2: virtualization types · instance types and families · purchasing options (on-demand, spot, reserved, dedicated) · capacity reservations · AMI images · high performance compute and placement groups · horizontal and vertical scaling · auto scaling groups · key pairs · status checks · tags · user data · EC2 rescue.
Module 4 — AWS operations and monitoring
CloudWatch: monitoring and logging basics · metrics and custom metrics · alarms · billing alarms and free-tier alerts · logs, log agent and Log Insights · events · SNS integration. CloudTrail: workflow concepts · log files · events. Simple Notification Service. Systems Manager: operations management · CloudWatch dashboards · OpsCenter · resource groups · Trusted Advisor and Personal Health Dashboard · actions and change automation · maintenance windows · configuration compliance · inventory management · managed instances · Session Manager · Run Command · state management · patch management · SSM documents · Parameter Store.
Module 5 — AWS storage, databases and serverless
RDS: relational database overview · instances and sizes · supported databases · option, subnet and parameter groups · Aurora · snapshots · automated backups · reserved instances · replication · encryption · limits. S3: architecture · buckets · objects and folders · storage tiers · lifecycle policies · versioning · locking · access control · static website hosting · cross-region replication · bucket policies. CloudFront: points of presence · CDN basics · distributions · custom origins · security and optimisation. Glacier: archival basics · data model · vaults and archives · Glacier Select · retrieval policies. EBS: hard disk basics · EBS types · EBS versus instance storage · snapshots · backups and replication · mounting volumes. Lambda: concepts · permissions · functions and tools · managing, configuring and invoking functions · runtimes and applications.
Module 6 — DevOps: the big picture
Why DevOps — business, IT, developer, tester and operations perspectives · what DevOps is and its stakeholders · SDLC and its phases · the role of Dev and Ops in SDLC · Agile and Scrum · the Agile development process · the role of Dev and Ops in Agile.
Module 7 — Linux
Linux architecture · shell and kernel · distributions · using the shell · exploring filesystems · working with text files · process management · package management (RPM, YUM, APT) · managing user accounts · disk and filesystem management — storage, partitions, LVM, mounts · Linux networking · service management with init and systemd · server configuration — web server, application server, syslog, database server.
Module 8 — Git, CI/CD and Jenkins
Git: version control basics · commits and revisions · branches · stashing · branching in depth · rebase · tagging · hooks · administration · Git Flow. CI/CD: continuous integration, delivery and deployment · why CI/CD matters in a DevOps pipeline. Jenkins: key constructs — job, build, version control, test execution, plugins, CLI, REST API, security, distributed builds · Jenkins internals and environment variables · installation · multi-node setup · administration · views and free-style projects · parameterisation and upstream/downstream projects · pipelines, Groovy and Jenkins DSL · integrations with Git, Ansible, Docker, Kubernetes, Chef, Terraform, JIRA and Python · multi-branch pipelines · agents and tool installation · cloud agents · high availability.
Module 9 — Ansible and Terraform
Ansible: installation and configuration · core concepts · inventory · modules · ad-hoc commands · playbooks and YAML · inventory and playbook parsing · module transport and execution · variable types and precedence · external data access · static and dynamic inventories · common modules · playbook syntax · conditionals · error handling · variables and facts · templates · roles and Ansible Galaxy · parallelism · protecting secrets and encrypting data at rest. Terraform: infrastructure provisioning · what infrastructure as code is · installation · constructs and DSL · providers · resources, arguments and attributes · variables, maps and lookups · modules · local and remote state · taint and update · declaring variables · nested and dynamic blocks · expressions and functions · null resource and local exec · AWS, Azure, Docker and Kubernetes providers · Terraform Registry · remote state and workspaces · building an AWS deployment with Terraform.
Module 10 — Docker and Kubernetes
Docker: overview · physical servers versus virtual machines versus Docker · installation · CLI · building container images · Dockerfile and instructions · multistage builds · storing and distributing images — Docker Hub, Docker Store, Docker Registry, Trusted Registry, Azure Container Registry, Amazon ECR · managing containers · networking and volumes · Docker Compose · running Docker in public clouds — Amazon ECS and Fargate, Azure App Services. Kubernetes: overview · microservices · clustering and orchestration · architecture and core concepts · pods · namespaces · API primitives · runtime · health checks · application scheduling · networking and service discovery · DNS · multitenancy · storage and persistent volumes · stateful sets · monitoring, logging and troubleshooting · creating clusters · authentication, authorisation and container security · rolling updates, scalability and quotas · Helm and Helm charts · Amazon EKS · Azure AKS.
Course details
| Duration | 45 hours across 2 months |
| Mode | Classroom in KPHB, Hyderabad — and live online |
| Prerequisites | None. Linux and AWS fundamentals are taught from scratch |
| AWS services covered | 13 service areas, from VPC and IAM through S3, RDS and Lambda |
| DevOps tools covered | Linux, Git, Jenkins, Ansible, Terraform, Docker, Kubernetes |
| Kubernetes platforms | Amazon EKS and Azure AKS |
| Resume preparation | Yes |
| Interview guidance | Yes |
| Free demo | Yes, before every batch |
| Fee | ₹15,000 |
| Learners trained | 8,734 |
Frequently asked questions
What is covered in the Eclasess AWS DevOps course?
Amazon Web Services as a cloud platform — VPC, IAM, EC2, CloudWatch, Systems Manager, RDS, S3, CloudFront, EBS and Lambda — followed by Linux, Git, CI/CD, Jenkins, Ansible, Terraform, Docker and Kubernetes.
Do I need AWS experience to join?
No. The AWS block starts at global infrastructure, regions and availability zones, and the Linux module starts at architecture and the shell. Nothing is assumed.
Is this an AWS course or a DevOps course?
Both. AWS is taught as a cloud platform in its own right, then the DevOps toolchain is taught on top of it. A DevOps role on AWS asks for both, which is why they are taught together.
Does the course cover Terraform?
Yes, as its own module — providers, resources, variables, maps and lookups, modules, local and remote state, workspaces, and the AWS, Azure, Docker and Kubernetes providers, ending with an AWS deployment built in Terraform.
Does the course cover Kubernetes?
Yes. Architecture and core concepts, pods, namespaces, scheduling, networking and service discovery, storage and stateful sets, cluster security, Helm, and deployment on both Amazon EKS and Azure AKS.
Does the course cover Docker?
Yes — images and Dockerfiles, multistage builds, registries including Amazon ECR, container management, networking, volumes, Docker Compose, and running Docker on Amazon ECS and Fargate.
Which AWS networking topics are covered?
VPC essentials, subnets, network ACLs and security groups, internet and NAT gateways, VPC peering, endpoints, VPNs, transit gateways and flow logs, plus load balancing and Route 53 routing policies.
Is Jenkins covered?
Yes, in depth — jobs and builds, plugins, distributed builds, pipelines with Groovy and Jenkins DSL, multi-branch pipelines, agents, and integrations with Git, Ansible, Docker, Kubernetes, Chef, Terraform, JIRA and Python.
Is Linux taught as part of the course?
Yes, as its own module — architecture, shell, filesystems, process and package management, user accounts, disk and LVM, networking, systemd and server configuration.
Should I take AWS DevOps or Azure DevOps?
The toolchain is largely the same; the cloud differs. Choose AWS if the job adverts you read name AWS services, and Azure DevOps if you target Microsoft-stack employers. Eclasess runs both courses.
How long is the AWS DevOps course?
45 hours, delivered across 2 months.
What is the fee for the AWS DevOps course?
₹15,000. The fee covers all 45 hours, course materials, resume preparation and interview guidance.
Is the training available online?
Yes. The course runs as live online training and as classroom training in KPHB, Hyderabad, with the same trainer and syllabus in both.
Is there a free demo class?
Yes. A free demo runs before every batch so you can see the syllabus and meet the trainer before paying.
Does Eclasess provide placement support?
Yes. The course includes resume preparation, interview guidance and placement assistance.
Where is Eclasess located?
3rd Floor, Alluri Trade Center, Near KPHB Metro Station, Metro Pillar No. 760, KPHB, Hyderabad, Telangana 500072.