DevOps with Multi-Cloud Course in Hyderabad
Learn DevOps tooling and apply it across AWS, Azure and Google Cloud
The DevOps with Multi-Cloud course gives you a tool-focused path into DevOps and shows how the same practices work on AWS, Microsoft Azure and Google Cloud. You start with Linux, networking and shell scripting, then learn Git and GitHub, build CI/CD pipelines with Jenkins and GitHub Actions, containerise applications with Docker, orchestrate them with Kubernetes, and provision infrastructure with Terraform. You configure servers with Ansible, add monitoring with Prometheus and Grafana, collect logs, and introduce DevSecOps checks such as image scanning and secrets management. Throughout, you repeat key deployments on all three clouds so you can compare services such as EC2, Azure Virtual Machines and Compute Engine, and managed Kubernetes on EKS, AKS and GKE. The course suits graduates, system administrators and developers who want DevOps engineer or cloud engineer roles; basic computer knowledge is enough and Linux is taught from scratch. You finish with a capstone that deploys a containerised application through a pipeline. Classes run in Ameerpet, Hyderabad, and in live online batches.
Syllabus
Linux & Shell Scripting
- •Linux filesystem, users, permissions and package managers
- •Processes, services with systemd, logs and cron jobs
- •Bash scripting: variables, conditions, loops and functions
- •Lab: Write a script that backs up and rotates logs
- •Outcome: Administer a Linux server and automate routine tasks
Networking & Cloud Foundations
- •IP addressing, ports, DNS, HTTP and TLS basics
- •Cloud models and equivalent core services across AWS, Azure and Google Cloud
- •Identity, access and cost basics on each cloud
- •Lab: Create a virtual machine on each of the three clouds
- •Outcome: Navigate the three major clouds with a common mental model
Git & GitHub Workflows
- •Git commits, branches, merges and rebasing
- •Pull requests, code review and branch protection
- •Release tags and semantic versioning
- •Lab: Collaborate on a repo using feature branches
- •Outcome: Manage code with a clean collaborative workflow
Build Tools & Continuous Integration with Jenkins
- •Build tools and artifact repositories
- •Jenkins architecture, freestyle and declarative pipelines, agents and credentials
- •Static analysis with SonarQube and test reports
- •Lab: Build and test a sample app on every commit
- •Outcome: Automate build and test with Jenkins
GitHub Actions & Pipeline Design
- •GitHub Actions workflows, jobs, matrix builds and caching
- •Secrets, environments and approvals
- •Reusable workflows and pipeline design patterns
- •Lab: Create a CI workflow with test, build and deploy stages
- •Outcome: Design maintainable pipelines
Docker & Containers
- •Container concepts, images and containers
- •Writing Dockerfiles, multi-stage builds and image size reduction
- •Volumes, networks and Docker Compose
- •Registries: Docker Hub, ECR, ACR and Artifact Registry
- •Lab: Containerise a multi-service application with Compose
- •Outcome: Package and run applications as containers
Kubernetes Essentials
- •Kubernetes architecture and kubectl
- •Pods, ReplicaSets, deployments, services and ingress
- •ConfigMaps, secrets, volumes, probes and resource limits
- •Helm basics and rolling updates
- •Lab: Deploy and scale an application with rolling updates
- •Outcome: Run and operate workloads on Kubernetes
Managed Kubernetes on EKS, AKS & GKE
- •Amazon EKS, Azure AKS and Google GKE compared
- •Cluster creation, node pools, autoscaling and upgrades
- •Cloud-specific ingress, load balancers and workload identity
- •Lab: Deploy the same application to one managed cluster and compare options
- •Outcome: Choose and operate managed Kubernetes
Infrastructure as Code with Terraform
- •Terraform workflow, providers, variables and outputs
- •Remote state, locking, modules and workspaces
- •Provisioning equivalent networks and VMs on AWS, Azure and Google Cloud
- •Lab: Provision a network and VM on two clouds from one repository
- •Outcome: Provision environments consistently as code
Configuration Management with Ansible
- •Ansible architecture, inventory and ad hoc commands
- •Playbooks, variables, handlers, roles and templates
- •Ansible Vault and idempotent design
- •Lab: Configure web servers with a role-based playbook
- •Outcome: Configure fleets of servers repeatably
Continuous Delivery & GitOps
- •Blue-green, canary and rolling deployments
- •GitOps principles and Argo CD overview
- •Environment promotion and rollback
- •Lab: Deploy through a GitOps repository
- •Outcome: Release safely with a Git-driven workflow
Monitoring, Logging & Alerting
- •Metrics, logs and traces: the three signals
- •Prometheus, Grafana dashboards and Alertmanager
- •Centralised logging with ELK or Loki; cloud-native monitors
- •Lab: Build a dashboard and alert for a deployed service
- •Outcome: Detect and respond to problems quickly
DevSecOps & Reliability Practices
- •Container image scanning and dependency checks with Trivy
- •Secrets management with cloud secret stores and HashiCorp Vault overview
- •SLIs, SLOs, error budgets, incident response and post-incident reviews
- •Lab: Add a security scan stage to the pipeline
- •Outcome: Build security and reliability into delivery
Capstone & Interview Preparation
- •Capstone: pipeline that builds, scans, provisions and deploys a containerised app with monitoring
- •GitHub portfolio and architecture write-up
- •Scenario-based DevOps interview practice
- •Outcome: A deployable portfolio project and interview readiness
Tools Covered
Projects Included
- Automated Server Provisioning: Provision VMs on two clouds with Terraform and configure them with Ansible; deliverable is a repository with environment variables and a README.
- CI Pipeline with Quality Gates: Build, test, scan and package an application with Jenkins and GitHub Actions; deliverable is two working pipelines and a comparison note.
- Containerised Microservices on Kubernetes: Deploy a multi-service app with ingress, probes and autoscaling; deliverable is Helm charts and a demo.
- Observability Stack: Create Prometheus metrics, Grafana dashboards and alerts for the application; deliverable is dashboards and an alert runbook.
- Multi-Cloud DevOps Capstone: Deploy through a pipeline to a managed Kubernetes cluster on a chosen cloud with scans and monitoring; deliverable is a GitHub repository and architecture diagram.
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Call: +91 9908099980Prerequisites & Eligibility
Understand the foundation and skills needed to succeed in the DevOps with Multi-Cloud course.
Course Prerequisites
- Any graduate is eligible for enrollment across all program tracks
- Dedication to work on real-time scenario projects and live client project implementations
- Willingness to engage in aptitude, soft skills and interview readiness sessions
- Commitment to complete full-day training or intensive/internship program schedules
Why Choose GloryTecks
Build practical capabilities through structured learning, expert mentors and hands-on projects.
5+ Years of Excellence
Established training institute in Hyderabad with a proven track record of producing industry-ready professionals.
Expert Faculty
Learn from trainers with real-world industry experience, who teach the way the work is actually done.
Placement Assistance
A dedicated placement team with tie-ups across hiring companies. We support you until you get hired.
Comprehensive Curriculum
Updated syllabus covering the latest technologies and industry best practices, with hands-on projects.
Career Growth Focus
Not just training, but complete career transformation with soft skills and interview preparation.
Online & Classroom
Attend live online batches or classroom training at our Ameerpet centre, whichever suits you.
Flexible Batches
Weekday, weekend and online batch timings to suit working professionals, students and freshers.
Real-time Projects
Work on real-time scenario projects so you finish with practical experience to show employers.
We provide placement support with direct access to hiring companies, along with comprehensive training that helps freshers become job-ready professionals.
Certification
Explore certification and practical learning opportunities with a focus on DevOps with Multi-Cloud.
Certificate of Completion
DevOps with Multi-Cloud
This certifies that
[Your Name]
has successfully completed the
DevOps with Multi-Cloud
Training Program
GloryTecks
Ameerpet, Hyderabad
Certificate ID
GT-YYYY-XXXX
Certificate Includes
- Course completion certificate from GloryTecks
- Project completion certificates
- Internship completion certificate for eligible internship programs
- Digital certificate with a unique verification ID
- Shareable on LinkedIn and other professional platforms
- Valid proof of skill acquisition for employers
- Includes the detailed syllabus covered
Industry Focus
A certificate built around the tools and skills employers ask for, adding credibility to your resume.
Skill Validation
Proves your expertise in the course and the technologies you worked with.
Career Advancement
Strengthens your profile when you apply for jobs and negotiate your salary.
Digital & Physical
Get a digital certificate for online sharing and a physical copy for framing.
Course Certificate
Upon successful completion of the training program
Project Certificate
For major projects completed during training
Course Features & Highlights
Build a strong foundation through a structured DevOps with Multi-Cloud course with practical learning and hands-on exposure.
Live Projects
Work on real-world projects from day one with industry use cases.
Expert Trainers
Learn from industry professionals with real-world experience.
Placement Support
Dedicated placement team with assistance until you get hired.
Industry Certification
Get certified and boost your resume with recognized credentials.
LMS Access
Access to learning materials and recorded sessions.
Mock Interviews
Weekly mock interviews to prepare you for real job scenarios.
Resume Building
Professional resume preparation and LinkedIn profile optimization.
Additional Benefits
- Flexible Payment Plans
- 6-12 Months LMS Access
- Doubt Clearing Sessions
- 24/7 Learning Support
Frequently asked questions
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Best DevOps with Multi-Cloud Training in
Ameerpet, Hyderabad
Located at Ameerpet — Hyderabad’s IT training hub. Easily accessible from all areas of Hyderabad. Just 2 minutes walk from Ameerpet Metro Station.
Placement Support
Career support covers resume and LinkedIn preparation, mock interviews and a portfolio of 5 course projects. Roles that use these skills include DevOps Engineer, Cloud Engineer, Site Reliability Engineer (entry level), Release Engineer; support is guidance with the job search, not a guarantee of a job.