Docker & Kubernetes Course in Hyderabad
Containerise applications and run them at scale on Kubernetes
The Docker and Kubernetes course teaches you to package applications as containers and run them reliably on Kubernetes. You begin with Linux and container fundamentals, then build images with Dockerfiles, manage networking, volumes and registries, and run multi-container applications with Docker Compose. You move on to Kubernetes architecture, pods, deployments, services, ingress, ConfigMaps and Secrets, persistent storage, probes, resource limits and autoscaling, and package applications with Helm and Kustomize. Later modules cover RBAC, network policies, observability with Prometheus and Grafana, troubleshooting, and running a cluster with kubeadm or a managed service such as EKS, AKS or GKE. The topics prepare you for the hands-on style of the Certified Kubernetes Administrator and Certified Kubernetes Application Developer exams, which are taken with the Linux Foundation and are performance based. The course suits developers, system administrators and DevOps beginners with basic Linux knowledge. Every module has a lab and you finish with a capstone deployment. Classes run in Ameerpet, Hyderabad, and in live online batches.
Syllabus
Linux & Container Fundamentals
- •Linux basics needed for containers: processes, networking and file systems
- •Containers versus virtual machines; namespaces and cgroups
- •Container images, layers and registries
- •Lab: Install Docker and run your first containers
- •Outcome: Explain what a container is and why it is used
Docker Images & Dockerfiles
- •Dockerfile instructions and best practices
- •Multi-stage builds, build cache and small images
- •Tagging, pushing and pulling from registries
- •Lab: Containerise a web application and shrink the image
- •Outcome: Build efficient, reproducible images
Docker Networking, Storage & Compose
- •Container networking modes and port publishing
- •Volumes and bind mounts for persistent data
- •Docker Compose for multi-container applications; environment variables and secrets
- •Lab: Run an app with a database using Compose
- •Outcome: Run multi-service applications locally
Container Security & Registries
- •Non-root users, read-only file systems and capabilities
- •Image scanning with Trivy and base image selection
- •Private registries and image signing overview
- •Lab: Scan and harden an image
- •Outcome: Reduce the attack surface of containers
Kubernetes Architecture & Setup
- •Kubernetes components: API server, etcd, scheduler, controller manager and kubelet
- •kubectl, contexts and manifests in YAML
- •Local clusters with kind or minikube; cluster bootstrap with kubeadm
- •Lab: Build a cluster and run your first pod
- •Outcome: Understand and bootstrap a cluster
Workloads: Pods, Deployments & Jobs
- •Pods, multi-container patterns and lifecycle
- •Deployments, rolling updates and rollbacks
- •Jobs, CronJobs, DaemonSets and StatefulSets
- •Lab: Roll out and roll back a deployment
- •Outcome: Run and update different workload types
Services, Ingress & Networking
- •Service types, endpoints and cluster DNS
- •Ingress controllers and routing; Gateway API overview
- •Network policies and CNI plugin concepts
- •Lab: Expose an application through ingress with TLS
- •Outcome: Make applications reachable and controlled
Configuration & Storage
- •ConfigMaps, Secrets and environment injection
- •Volumes, PersistentVolumes, PersistentVolumeClaims and StorageClasses
- •StatefulSets with persistent storage
- •Lab: Run a database with persistent storage
- •Outcome: Manage configuration and stateful workloads
Scheduling, Resources & Autoscaling
- •Resource requests and limits; quality of service classes
- •Liveness, readiness and startup probes
- •Horizontal Pod Autoscaler, taints, tolerations and affinity
- •Lab: Load test and autoscale a deployment
- •Outcome: Make workloads resilient and efficient
Helm & Kustomize
- •Helm charts, values, templates and releases
- •Kustomize bases and overlays
- •Packaging for multiple environments
- •Lab: Package an application as a Helm chart
- •Outcome: Deploy applications repeatably across environments
Security: RBAC & Policies
- •Authentication, authorisation and service accounts
- •RBAC roles, role bindings and least privilege
- •Pod Security Standards and secrets best practice
- •Lab: Create a restricted role for a team
- •Outcome: Secure access to a cluster
Observability, Troubleshooting & Operations
- •Logs, events, kubectl describe and debugging pods
- •Prometheus and Grafana for cluster metrics
- •Cluster upgrades, backups of etcd and node maintenance
- •Lab: Diagnose and fix broken deployments
- •Outcome: Troubleshoot common failures systematically
Managed Kubernetes & Capstone
- •EKS, AKS and GKE overview and differences
- •Deploying from a CI/CD pipeline to a cluster
- •Capstone: containerise, package and deploy a multi-service application with monitoring
- •Outcome: A deployable portfolio project and a practice plan for CKA or CKAD
Tools Covered
Projects Included
- Containerised Web App with Database: Build images and run the stack with Docker Compose; deliverable is a Compose project with documentation.
- Kubernetes Deployment with Ingress: Deploy an application with probes, resource limits and TLS ingress; deliverable is a manifest set and test notes.
- Stateful Database on Kubernetes: Run a database with a PVC and backup procedure; deliverable is manifests and a restore test.
- Helm Chart for a Microservice: Package and deploy to dev and prod with different values; deliverable is a chart repository.
- Capstone Cluster Project: Deploy a multi-service app with autoscaling, RBAC and Prometheus 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 Docker & Kubernetes 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 Docker & Kubernetes.
Certificate of Completion
Docker & Kubernetes
This certifies that
[Your Name]
has successfully completed the
Docker & Kubernetes
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 Docker & Kubernetes 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 Docker & Kubernetes 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, Kubernetes Administrator, Platform Engineer (entry level), Cloud Engineer; support is guidance with the job search, not a guarantee of a job.