Learn DevOps: Docker, Kubernetes, Terraform and Azure DevOps from Udemy

ONE and 20+ Hours. Do you need more reasons to enroll in this amazing course on DevOps?

WHAT STUDENTS ARE SAYING

5 STARS - The best instructor of Udemy. This is a great course to understand about DevOps, the involved concepts, and to apply the concepts.

5 STARS - Loved the way how the course was organized with an emphasis on following with hands-on. This should be the benchmark in Dev-Ops training for anyone who wants to get acquainted with Dev-Ops.

5 STARS - . Love the instructor's energy, enthusiasm, and manner of instruction. This course is like 5 courses in 1. It is rare to find a course with such a breadth of technical topics and cloud platforms covered. Thank you for creating this course.

5 STARS - Great hands-on experience of learning DevOps using Docker, Terraform, Kubernetes on Each topic explaining very well with hands-on which is helping us to understand the concept easily. Awesome

5 STARS - Great Information and solid teaching of the core concepts as well as the technical implementations of DevOps

5 STARS - It's easy to understand, very complete, and good for beginners to start learning about DevOps

Do you have ZERO experience with DevOps with Docker, Kubernetes, Azure DevOps, Jenkins, Terraform, Ansible, AWS, Azure, and Google Cloud? No Problem.

Do you have ZERO experience with DevOps Containers and Container Orchestration with Docker and Kubernetes? No Problem.

Do you have ZERO experience with Continuous Integration or Continuous Delivery in DevOps with Azure DevOps and Jenkins? No Problem.

Do you have ZERO experience with the Cloud? No Problem.

Are you ready to learn DevOps with Docker, Kubernetes, Terraform, Ansible, Jenkins, and Azure DevOps in multiple clouds - AWS, Azure, and Google Cloud?

Do you want to join 600,000+ learners having Amazing Learning Experiences with in28Minutes?

Buckle up and Get ready for this wonderful ride on DevOps, Microservices, and the Cloud.

Look No Further.

DEVOPS COURSE OVERVIEW

DevOps is all about People, Process, and Tools. In this course, you will understand the basics of DevOps and learn to do DevOps with Docker, Kubernetes, Ansible, Terraform, Azure DevOps, and Jenkins. You will learn to implement DevOps with Continuous Integration, Continuous Delivery, and Infrastructure as Code. You will play with 3 different clouds - AWS, Azure and Google Cloud.

You will do DevOps with Docker to create and run Docker images for:

Hello World Applications - Python, JavaScript, and Java
Microservices - Currency Exchange and Currency Conversion

You will learn the basics of Kubernetes on the Google Kubernetes Engine implementing Service Discovery, Centralized Configuration, and Load Balancing for Microservices.

You will do DevOps with Kubernetes using Terraform (Infrastructure as Code) and Azure DevOps (Continuous Delivery) on multiple cloud platforms (AWS and Azure)

You will learn the basics of Continuous Integration and Continuous Delivery and implement them using Jenkins and Azure DevOps. You will learn to Create Kubernetes Clusters and Deploy Docker Containers of Microservices to Kubernetes using Azure DevOps Pipelines on the Cloud with AWS EKS and Azure AKS.

You will learn the basics of Terraform and Ansible and implement Infrastructure as Code. You will provision a number of AWS Resources - EC2 Instances and Load Balancers - using Terraform and configure them with Ansible. You will learn to provision Kubernetes Clusters in AWS and Azure using Terraform. You would learn to run Terraform Configuration in Azure DevOps Pipelines.

This course would be a perfect first step as an introduction to DevOps with Docker and Kubernetes.

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What's inside

Learning objectives

6 devops tools - docker, kubernetes, azure devops, jenkins, terraform, and ansible
Learn devops fundamentals - ci, cd and iaac

Learn devops from zero - no experience required
Build end to end devops pipelines

6 devops tools - docker, kubernetes, azure devops, jenkins, terraform, and ansible
Learn devops fundamentals - ci, cd and iaac
Learn devops from zero - no experience required
Build end to end devops pipelines

Syllabus

- Step 01 - Master Devops - Docker, Kubernetes, Terraform and Azure Devops - 01 - Intro - Step 02 - DevOps and Evolution of Software Development - Step 03 - Evolution to Agile - Step 04 - DevOps - An

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Read about what's good

what should give you pause

and possible dealbreakers

Provides a comprehensive introduction to DevOps, making it suitable for individuals with no prior experience in the field, which helps beginners get up to speed quickly

Covers multiple cloud platforms, including AWS, Azure, and Google Cloud, offering learners a broad perspective on cloud-based DevOps practices, which is highly relevant in today's industry

Explores a range of DevOps tools, such as Docker, Kubernetes, Terraform, Ansible, Jenkins, and Azure DevOps, equipping learners with a versatile toolkit for modern software development, which are standard in industry

Teaches Infrastructure as Code (IaC) using Terraform and Ansible, enabling learners to automate infrastructure provisioning and management, which is a core skill for DevOps engineers

Covers Continuous Integration (CI) and Continuous Delivery (CD) pipelines using Jenkins and Azure DevOps, providing learners with practical experience in automating software releases, which helps learners deliver value faster

Includes content that may be specific to Terraform versions 0.13 and greater, so learners should ensure compatibility with their current Terraform environment, which may require additional research

Reviews summary

Hands-on intro to devops tools

According to learners, this course provides a largely positive introduction to DevOps, making complex topics accessible even for those with zero prior experience. Students appreciate the comprehensive coverage of key tools including Docker, Kubernetes, Terraform, and Azure DevOps, along with Jenkins and Ansible, implemented across multiple cloud platforms like AWS, Azure, and Google Cloud. The emphasis on hands-on learning and building end-to-end DevOps pipelines is a significant strength. The course structure is seen as effective for understanding the concepts and their practical application, offering a solid foundation for beginners aiming to develop skills in this area.

Easy to follow even with no prior experience

"Even starting with zero knowledge, I could follow along and understand the concepts."

"The instructor breaks down complex topics well, making them easy to grasp."

"A perfect course if you're new to DevOps tools and cloud platforms."

Strong focus on practical labs and demos

"I loved the hands-on labs; applying the concepts reinforced my learning."

"Building end-to-end pipelines gave me practical experience."

"The demos were clear and showed how the tools are used in real scenarios."

Covers many essential tools and clouds

"I got an overview of Docker, K8s, Terraform, and Azure DevOps all in one place."

"It's great learning about Jenkins, Ansible, and seeing them used with AWS, Azure, and GCP."

"The course covers a wide range of relevant technologies and cloud environments."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Learn DevOps: Docker, Kubernetes, Terraform and Azure DevOps with these activities:

Review Docker Fundamentals

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Solidify your understanding of Docker fundamentals before diving into more advanced DevOps concepts. This will make grasping Kubernetes and other container orchestration tools easier.

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Review Docker documentation.
Practice building and running simple Docker images.
Familiarize yourself with Docker Compose.

Read 'The DevOps Handbook'

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Gain a deeper understanding of the DevOps philosophy and its impact on software development. This book provides valuable context for the tools and technologies covered in the course.

View The DevOps Handbook: How to Create World-Class... on Amazon

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Read the book cover to cover.
Take notes on key concepts and practices.
Reflect on how these concepts apply to your own work.

Deploy a Simple Web App using Docker and Kubernetes

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Apply your knowledge of Docker and Kubernetes by deploying a simple web application. This hands-on project will solidify your understanding of containerization and orchestration.

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Create a Docker image for a simple web application (e.g., a basic HTML page).
Create a Kubernetes deployment and service for the application.
Expose the application using a Kubernetes Ingress.
Test the deployment and troubleshoot any issues.

Four other activities

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Show all seven activities

Document Your DevOps Learning Journey

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Reinforce your learning by documenting your experiences with DevOps tools and techniques. This will help you internalize the concepts and share your knowledge with others.

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Create a blog or online journal.
Write about your experiences with Docker, Kubernetes, and other DevOps tools.
Share your insights and lessons learned.

Kubernetes Command Line Exercises

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Improve your proficiency with Kubernetes by practicing common command-line operations. This will make you more efficient and effective when working with Kubernetes clusters.

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Practice creating, updating, and deleting Kubernetes resources.
Practice inspecting Kubernetes resources and logs.
Practice troubleshooting common Kubernetes issues.

Build a CI/CD Pipeline with Azure DevOps

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Gain practical experience with CI/CD by building a pipeline using Azure DevOps. This will help you automate the software delivery process and improve your development workflow.

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Create an Azure DevOps project.
Configure a build pipeline to build and test your application.
Configure a release pipeline to deploy your application to a staging environment.
Configure a release pipeline to deploy your application to a production environment.

Read 'Terraform Up & Running'

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Deepen your understanding of Terraform and infrastructure as code. This book provides practical examples and best practices for using Terraform in real-world scenarios.

View Terraform: Up and Running: Writing... on Amazon

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Read the book cover to cover.
Experiment with the code examples provided in the book.
Apply the concepts learned to your own infrastructure projects.

Career center

Learners who complete Learn DevOps: Docker, Kubernetes, Terraform and Azure DevOps will develop knowledge and skills that may be useful to these careers:

DevOps Engineer

A DevOps Engineer automates and streamlines software development and deployment processes. This role involves implementing continuous integration and continuous delivery pipelines, managing infrastructure as code, and ensuring smooth collaboration between development and operations teams. This course provides a robust foundation in various DevOps tools such as Docker, Kubernetes, Terraform, and Azure DevOps, all of which are used to implement the core concepts of continuous integration, continuous delivery, and infrastructure as code. Learning these tools helps you create effective pipelines, manage containerized applications, and provision cloud resources, which are essential tasks for a DevOps Engineer.

See salaries and explore the career path for DevOps Engineer

Cloud Engineer

A Cloud Engineer designs, implements, and manages cloud infrastructure and services. This role works with various cloud platforms to deploy applications and ensure scalability, security, and reliability. This course delves into cloud technologies such as AWS, Azure, and Google Cloud, and also introduces infrastructure as code using Terraform, which are all essential tools and skills for effective cloud management. This course will help the cloud engineer provision and manage resources, build effective deployment strategies, and also provides a good practical understanding of cloud infrastructure.

See salaries and explore the career path for Cloud Engineer

Platform Engineer

Platform Engineers build and maintain the underlying infrastructure that enables software development and deployment. They are responsible for creating and managing the tools and services that development teams use daily. This course provides a comprehensive introduction to core DevOps tools like Docker, Kubernetes, and Terraform, which are key components of modern platform engineering. Learning to use these tools here helps you automate infrastructure provisioning, manage containerized applications, and facilitate continuous delivery, all crucial aspects of platform engineering.

See salaries and explore the career path for Platform Engineer

Site Reliability Engineer

A Site Reliability Engineer ensures that software systems are reliable, scalable, and maintainable. This role combines software engineering with systems administration to improve system uptime and performance. This course helps a prospective site reliability engineer develop critical familiarity with infrastructure as code through Terraform, containerization through Docker, and orchestration using Kubernetes. Additionally, the course provides hands-on experience with continuous integration and delivery pipelines, which are fundamental to ensuring the reliability of systems.

See salaries and explore the career path for Site Reliability Engineer

Infrastructure Engineer

An Infrastructure Engineer designs, builds, and maintains the systems that support software applications. They are responsible for the underlying hardware, networking, and software that keeps everything running smoothly. This course is suited to those who wish to become infrastructure engineers, as it introduces core infrastructure as code concepts and tools such as Terraform and Ansible, as well as containerization with Docker. Learning to use these tools in this course helps one effectively manage and automate IT infrastructure.

See salaries and explore the career path for Infrastructure Engineer

Automation Engineer

An Automation Engineer develops and implements automated solutions to streamline processes, especially in software development and deployment. This role reduces manual effort, increases efficiency, and improves overall software quality. This course is ideal for those planning to enter automation engineering, by providing training on key automation tools such as Docker, Kubernetes, and Terraform, and also offering insight into continuous integration and delivery pipelines. This course helps one automate repetitive tasks through scripting and tooling.

See salaries and explore the career path for Automation Engineer

Release Engineer

A Release Engineer manages the process of software releases, ensuring that software updates are deployed smoothly and reliably. This involves managing the build, test, and deployment pipelines. This course introduces the key DevOps tools and methodologies essential for efficient release management, such as continuous integration and continuous delivery, and also uses tools such as Docker, Kubernetes, and Azure DevOps. This course may be useful to those seeking a foundation in release engineering, by helping them gain practical knowledge of automation and deployment pipelines.

See salaries and explore the career path for Release Engineer

Systems Administrator

A Systems Administrator manages and maintains computer systems to ensure they operate efficiently. This role includes installing, configuring, and troubleshooting hardware and software. This course is helpful to a systems administrator who seeks to learn more about modern practices, as it provides exposure to essential tools such as Docker, Kubernetes, and Terraform. Learning to use these tools through the hands-on approach of this course helps one manage and automate system deployments.

See salaries and explore the career path for Systems Administrator

Solutions Architect

A Solutions Architect designs and guides the implementation of complex software and IT solutions. This role requires a broad understanding of technology and the ability to align technical solutions with business goals. This course may be helpful to a prospective solutions architect. It provides a thorough understanding into DevOps practices, tools, and cloud platforms, which are essential when designing cloud native solutions. In addition, the course also teaches one to provision infrastructure as code, and how to deploy microservices, which helps a solutions architect understand the practical implementation of their designs.

See salaries and explore the career path for Solutions Architect

Build Engineer

A Build Engineer is responsible for designing and maintaining the systems and tools used to build software. This role involves developing and improving build processes, and ensuring that software builds are reliable and efficient. This course may be useful for a build engineer to gain practical experience with tools such as Docker, and continuous integration and delivery pipelines. This course's coverage of Azure DevOps, Jenkins, and other related tools will help one develop better build and release systems.

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Technical Project Manager

A Technical Project Manager oversees technology projects, coordinating teams, and ensuring that projects are completed on time and within budget. This role requires a solid understanding of technical processes. While not directly focused on project management, this course provides a broad background in DevOps tools and processes, and can enable technical project managers to better understand the technical aspects of project development and delivery. This course might also help a technical project manager facilitate communication with developers and other technical team members.

See salaries and explore the career path for Technical Project Manager

Software Developer

A Software Developer designs, develops, and tests software applications. While this course is not directly aimed at coding or software development skills, the course's content may be useful for understanding how software applications are deployed and managed in modern development environments. This course's introduction to DevOps, Docker, and Kubernetes helps a software developer better understand how their code integrates with the broader IT infrastructure and deployment pipelines.

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Quality Assurance Engineer

A Quality Assurance Engineer is responsible for ensuring the quality of software products by designing and executing test plans, and identifying and reporting defects. Although this course does not focus on quality assurance, it may be useful in understanding the processes of continuous integration and continuous delivery, which are core to automated testing. This provides an overview of how testing procedures interact with a broader DevOps environment.

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Database Administrator

A Database Administrator manages and maintains database systems, ensuring data integrity, security, and availability. While this course does not focus on database concepts or administration, it may be useful in understanding the infrastructure and tools used to deploy and manage database systems in a cloud-based or containerized environment. This course can provide some perspective on the automation and scalability aspects of modern IT infrastructures.

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Network Engineer

A Network Engineer is responsible for designing, implementing, and managing computer networks. Although this course does not go into depth on networking concepts, it may be useful in understanding how networking configurations can be automated with infrastructure as code tools like Terraform. This course might give some context on the infrastructure side of networking, particularly when considering cloud and containerized environments.

See salaries and explore the career path for Network Engineer

Learn DevOps

Docker, Kubernetes, Terraform and Azure DevOps

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What's inside

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Hands-on intro to devops tools

Activities

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