Kubernetes and Docker Training
Kubernetes and Docker Training participants gain the fundamental knowledge and practical skills necessary to administer and orchestrate containerised apps in Kubernetes. While Kubernetes automates the deployment, scalability, and management of these containerised applications in clusters, Docker concentrates on containerisation, allowing developers to package applications into containers.
- 10+ Courses
- 30+ Projects
- 400 Hours
Kubernetes and Docker Training is suitable for the following target audiences:
DevOps Engineers: Perfect for experts who want to improve their knowledge on how to use Docker and Kubernetes to automate and manage application deployment.
Software Developers: Ideal for developers who wish to understand how to deploy apps on Kubernetes clusters and package them into containers for smooth development and production settings.
System Administrators: This is for system administrators who must coordinate, administer, and monitor containerized apps in cloud settings.
Cloud engineers: Perfect for experts in cloud computing who are in charge of setting up and overseeing cloud-native services and apps.
DevOps Engineer: Using Docker and Kubernetes to automate deployments and implement CI/CD pipelines.
Cloud Architect: Using Kubernetes orchestration and containerized apps to design cloud-native solutions.
Site Reliability Engineer (SRE): In production settings, a Site Reliability Engineer (SRE) oversees the performance, scalability, and dependability of containerized systems.
Container Platform Administrator: In charge of managing Kubernetes and other container orchestration platforms and guaranteeing that containerized services operate at peak efficiency.
Software Engineer: Using Docker and Kubernetes to create, implement, and manage microservices-based applications.
These positions, which offer competitive pay and lots of room for professional advancement in both the USA and Canada, are highly sought after in sectors like government, healthcare, retail, technology, and finance.
Overview of containerization and containers
Docker components and architecture
Setting up Docker on Windows and Linux
Docker registries, images, and containers
Operating and overseeing containers
Practical labs using fundamental Docker commands
Dockerfile organization and recommended procedures
Constructing unique Docker images
Layering and caching of images
Controlling Docker networks and volumes
Basics of Docker Compose
Practical project: Containerizing a basic program
A detailed look of Docker networking
Docker Compose-based multi-container apps
Basics of container security
Basics of image scanning and vulnerability
Monitoring and recording containers
Production-related best practices for Docker
The definition of Kubernetes and its necessity
The components and architecture of Kubernetes
Configuring Kubernetes with Kind or Minikube
Pods, Nodes, and Namespaces are Kubernetes objects.
Kubectl fundamentals
Practical labs with Pods and fundamental deployments
StatefulSets, ReplicaSets, and Deployments
Kubernetes networking and services
The Secrets and ConfigMaps
Rollbacks and rolling updates
Manual and automatic application scaling
Practical hands on with services and deployments
Claims for Persistent Volumes and Persistent Volumes
Classes of storage
The networking model of Kubernetes
Ingress resources and controllers
Securely exposing applications
Interactive laboratories with ongoing storage and access
Overview of Kubernetes monitoring
Overview of Grafana and Prometheus
Ideas for centralized logging
Access Control Based on Roles (RBAC)
Basic security hardening and network policies
The best ways to manage Kubernetes clusters
Docker and Kubernetes-based CI/CD pipelines
Overview of Helm and Helm charts
Helm application deployment
Review of Kubernetes recommended practices
Capstone project: Create, containerize and launch a Kubernetes microservices application
This course is ideal for developers, system administrators, DevOps engineers, and IT professionals who want hands-on experience with containerization and orchestration.
Basic knowledge of Linux and application deployment helps, but the course starts from fundamentals and builds up gradually.
The training is heavily hands-on, with labs, real examples, and a capstone project.
You will work with Docker, Docker Compose, Kubernetes, kubectl, Helm, and basic monitoring tools like Prometheus and Grafana.
Yes. The course focuses on best practices, security basics, monitoring, and real deployment workflows.
Yes. You will learn to set up local Kubernetes environments using tools like Minikube or Kind.
The concepts apply directly to managed services like EKS, AKS, and GKE, even though the labs focus on local clusters.
Yes, a course completion certificate is provided by Checknate IT Tech.
Expect around 6 to 8 hours per week, including live sessions, labs, and practice.
Yes. The training builds a strong foundation for certifications like CKA and CKAD.
We currently offer online sessions with flexible weekday/weekend batches for 8 weeks. All sessions are recorded. You’ll have access to the recordings, along with support from instructors and peers in our learning portal.
You can register via our website https://checkmateittech.com/, or reach out to our support teams via phone, email, or WhatsApp. We’ll help you with batch schedules and payment options.
Email info@checkmateittech.com Call Us +1-347-4082054
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Job opportunities in USA and Canada
DevOps Engineer: Using Docker and Kubernetes to automate deployments and implement CI/CD pipelines.
Cloud Architect: Using Kubernetes orchestration and containerized apps to design cloud-native solutions.
Site Reliability Engineer (SRE): In production settings, a Site Reliability Engineer (SRE) oversees the performance, scalability, and dependability of containerized systems.
Container Platform Administrator: In charge of managing Kubernetes and other container orchestration platforms and guaranteeing that containerized services operate at peak efficiency.
Software Engineer: Using Docker and Kubernetes to create, implement, and manage microservices-based applications.
These positions, which offer competitive pay and lots of room for professional advancement in both the USA and Canada, are highly sought after in sectors like government, healthcare, retail, technology, and finance.
