Docker, Kubernetes & Argo: Complete Container Platform 2025
- Description
- Curriculum
- FAQ
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Master Production-Grade Container Platform Engineering [2025 Edition]
Be ready for enterprise container deployments with the most comprehensive Docker, Kubernetes & GitOps course on Udemy!
What Makes This Course Special:
– The ONLY course covering the complete container platform lifecycle – from local development to production deployment
– Real enterprise deployment patterns used at Fortune 500 companies
– Includes cutting-edge GitOps & Progressive Delivery practices
– Regular updates with latest features and best practices
– Taught by School of DevOps® – trusted by companies like Nasdaq, VW, and NetApp
Course Highlights:
– Modern Dev Workflows with Dev Containers
– Production-Grade Docker & Kubernetes
– GitOps with ArgoCD & Continuous Delivery
– Progressive Delivery (Blue/Green, Canary)
– AWS Cloud Integration & Best Practices
– Enterprise Security Patterns
– Complete CI/CD Pipeline Setup
– Production Monitoring & Analysis
What You’ll Learn:
– Build secure, scalable container environments
– Deploy applications using enterprise patterns
– Implement automated GitOps workflows
– Master blue/green and canary deployments
– Set up complete CI/CD pipelines
– Monitor and analyze deployments
– Optimize for production workloads
Perfect For:
– DevOps Engineers & SREs
– Cloud Engineers
– Software Developers
– Platform Engineers
– IT Professionals
– Anyone wanting to master container platforms
Course Features:
– 30+ hours of practical content
– 200+ hands-on lectures
– Real-world projects
– Production-ready examples
– Comprehensive labs
– Regular updates
– Active instructor support
2025 Updates:
– Dev Containers workflows
– Latest Docker & Kubernetes features
– Enhanced AWS integration
– New GitOps patterns
– Advanced monitoring setup
– Security best practices
– Enterprise deployment strategies
Prerequisites:
– Basic understanding of terminal/command line
– No prior Docker or Kubernetes experience needed
– Basic web development knowledge helpful but not required
Join 10,000+ successful students who are already using these skills in production environments. Start your container platform journey today!
30-Day Money-Back Guarantee
Full Lifetime Access
Certificate of Completion
School of DevOps® – Trusted by Fortune 500 companies for container platform training
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Why Container Based Software Delivery ? -
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Bare Metals, VMs and Containers
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Demo - VMs vs Containers
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Namespaces
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Cgroups
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Union Mount and OverlayFS
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Copy on Write
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What is Docker ?
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Is Docker Dead Now ?
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Docker - Architecture and Ecosystem
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Container Based Workflow Explained
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Reading List -
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Quiz
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Setting up the Environment
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Gitter Chat Room for the Course
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Option 1: Docker for Mac/Windows
Docker for Mac/Windows is the recommended way of setting up the environment. It gives a appearance of running a native application and sits in the system toolbar. However, remember this will launch docker by default every time you start your system and keep running in the background. If you do not desire so, choose docker toolbox.
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Option 2: Using Docker Toolbox
Docker toolbox installs VirtualBox, creates a linux VM and automated the process of setting up the environment. If you wish not to run Docker as a native service, or want to run more than one docker instances, do more advanced configurations, this is the option for you. Also, if you are running version of windows, this is the best option you have as Docker for Windows may not be compatible.
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Option 3: codespaces.io
codespaces.io is a open source application built by us in house to facilitate environment setup, and gives you editor, terminal and multiple nodes if required.
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Introducing Sample Voting App
This is the introduction to the sample, muti tier, micro services based application that we would use throughout this training. This is a official application created by Docker itself and contains combination of technologies such as python, node.js, redis, postgres, java/dot net.
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Introduction
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How to package an application into a Docker Image
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Building Docker Image the Imperative Way
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Launching and customizing a Container
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Committing the container into an Image and Validating
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Troubleshooting Image Builds, Publishing to Docker Hub
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Automating Image builds with a Dockerfile
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Image build cache, Dangling Images, Image Tagging
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Tutorial : Building Docker Image Manually - the Imperative Approach
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Nano Project: Dockerizing Facebook Clone App
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Quiz
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Introduction
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Need for and key features of Container Orchestration Engine
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Docker Swarm Key Concepts
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Provisioning 5 nodes Swarm cluster with 3 managers and 2 workers
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Provisioning a high available replicated Service manually
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Exteding docker compose to deploy in Production with stack deploy
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Adding deploy and replication configuration for voting app
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Container and Node fault tolerance in action with Swarm
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Zero Downtime Deployment and Rolling Updates
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Quiz
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Why kubernetes
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Launching a kubernetes cluster on Google Cloud Platform
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Deploying and publishing frontend app on GKE
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High Availability and Release Strategies with Deployments
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Publishing Applications with Services
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Pods - unit of deployment
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When to run more than one container in a pod ?
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Kubernetes Internal Service Discovery
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Assignment - Deploy application for shopping cart
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Solution - Carts Application Deployment
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Scaling applications manually and with auto scaler
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Zero Downtime Deployment
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Quick dive into kubectl, a CLI client for kubernetes
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Special offer to sign up to Comprehensive Kubernetes Course
