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Docker and Kubernetes for beginners | DevOps journey

Docker & Kubernetes Masterclass: Build, Deploy, & Scale on AWS, Azure, & GCP.

  • 0.0 (0 Reviews)
  • 0 Students
  • 138 Lessons
  • Hitesh Choudhary

Course Overview

Welcome to the ultimate Docker and Kubernetes Masterclass, your comprehensive guide to mastering the art of containerization and orchestration across all major cloud providers! In today's dynamic tech landscape, Docker and Kubernetes have become indispensable tools for modern application deployment, enabling organizations to build, ship, and run applications with unprecedented efficiency and scalability.

This course is meticulously designed to take you from a complete beginner to a confident practitioner, covering both the foundational theory and extensive hands-on practical application. You'll gain a deep understanding of how to leverage Docker to package your applications into lightweight, portable containers, and then master Kubernetes to orchestrate these containers at scale, ensuring high availability, fault tolerance, and seamless management.

What sets this course apart is its unique focus on the three major cloud providers: AWS, Azure, and Google Cloud Platform (GCP). We'll not only explore the core concepts of Docker and Kubernetes but also dive deep into how to effectively utilize their respective managed Kubernetes services – Amazon Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), and Google Kubernetes Engine (GKE). This ensures you're equipped with real-world skills applicable to virtually any cloud environment.

Here's a glimpse of what you'll learn and achieve in this masterclass:

  • Docker Fundamentals: Begin with the absolute basics of Docker, understanding container images, Dockerfiles, volumes, networks, and how to build and run your first containerized applications.

  • Advanced Docker Concepts: Explore multi-stage builds, Docker Compose for multi-container applications, and best practices for creating optimized and secure Docker images.

  • Kubernetes Core Concepts: Dive into the heart of Kubernetes, learning about Pods, Deployments, Services, Namespaces, ConfigMaps, Secrets, and how these components work together to form a robust application ecosystem.

  • Kubernetes Deployments & Management: Master the art of deploying, scaling, updating, and rolling back applications on a Kubernetes cluster. You'll learn about ReplicaSets, DaemonSets, Deployments etc.

  • Networking and Storage in Kubernetes: Understand Kubernetes networking models, and persistent storage options like Static and Dynamic Provisioning using persistent volumes and Persistent Volume Claims.

  • Cloud-Specific Kubernetes Implementations:

    • AWS EKS: Learn to provision and manage EKS clusters, integrate with AWS services, and deploy applications on EKS.

    • Azure AKS: Discover how to set up and configure AKS clusters, utilize Azure-specific features, and deploy your containerized workloads.

    • GCP GKE: Explore GKE's powerful capabilities, including auto-scaling, auto-repair, and seamless integration with Google Cloud services.

  • Monitoring and Troubleshooting: Gain practical skills in monitoring your Kubernetes clusters and applications, identifying issues, and effectively troubleshooting common problems.

  • Real-Time Projects: Learn how to build, deploy, and scale real-time applications on Kubernetes clusters such as GKE, AKS, and EKS.

By the end of this course, you'll not only have a solid theoretical foundation but also significant hands-on experience, enabling you to confidently design, deploy, and manage highly available and scalable containerized applications on any of the major cloud platforms. Whether you're an aspiring DevOps engineer, a software developer looking to modernize your deployment practices, or an IT professional eager to upskill, this course provides the comprehensive knowledge and practical skills you need to thrive in the cloud-native era.

Enroll now and unlock the power of Docker and Kubernetes!

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Course curriculum

Requirment

  • To get the most out of this course, we recommend: Basic understanding of Linux command line: Familiarity with common commands (e.g., cd, ls, mkdir, sudo) will be helpful. Fundamental networking concepts: Knowledge of IP addresses, ports, and basic network communication is beneficial. Comfort with a text editor/IDE: You'll be writing configuration files, so familiarity with tools like VS Code, Sublime Text, or Notepad++ is useful. An active internet connection: For downloading software, accessing cloud provider consoles, and running labs. No prior Docker or Kubernetes experience is required! This course starts from the ground up, making it suitable for beginners looking to enter the world of containerization and orchestration. We'll guide you through every step. While experience with a programming language (like Python, Node.js, Go) is a plus, it's not strictly necessary. We'll focus on deployment and operations rather than application development.

Outcomes

  • Master Docker and Kubernetes for containerization and orchestration from basics to advanced.

  • Deploy apps on AWS, Azure, GCP using their managed Kubernetes services.

  • Build scalable, highly available containerized applications for real-world scenarios.

  • Optimize Docker, secure Kubernetes, and implement CI/CD for containerized workflows.

Instructor

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Hitesh Choudhary

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