Master DevOps with Docker, Kubernetes, Jenkins, AWS & Terraform through hands-on projects and real-world workflows

What you'll learn
- Explain the core principles of DevOps and its impact on modern software development and delivery.
- Work confidently with Linux and WSL, mastering essential shell commands, scripting, and system administration.
- Use Git for version control, branching, merging, and resolving conflicts in collaborative workflows.
- Design and implement CI/CD pipelines using Jenkins to automate builds, tests, and deployments.
- Containerize applications with Docker, understanding images, containers, Dockerfiles, volumes, and networking.
- Apply best practices in Dockerfile creation and manage real-world containerized development environments.
- Orchestrate containerized workloads with Kubernetes, including Pods, Deployments, Services, and ConfigMaps.
- Implement scalability and reliability in Kubernetes through ReplicaSets, Horizontal Pod Autoscaling, and Probes.
- Secure Kubernetes clusters using RBAC and Network Policies to enforce least-privilege access control.
- Package and manage applications on Kubernetes with Helm charts for efficient deployments.
- Leverage AWS services (EC2, S3, RDS, CloudWatch) for cloud-native infrastructure and DevOps pipelines.
- Implement Infrastructure as Code (IaC) with Terraform to provision and manage cloud resources consistently.
- Monitor and visualize systems using Prometheus and Grafana to ensure observability and proactive issue resolution.
- Integrate Jenkins with Docker, Kubernetes, and Git for end-to-end automated DevOps workflows.
- Build and deploy real-world projects that demonstrate a complete DevOps toolchain from development to production.

Requirements
- Enthusiasm and determination to make your mark on the world!

Description
A warm welcome toThe Complete DevOps Engineer Course: Docker, Kubernetes, Jenkins, AWS & Terraformcourse byUplatz.

The Complete DevOps Engineer Course: Docker, Kubernetes, Jenkins, AWS & Terraform

Modern software development demands speed, reliability, and collaboration. This comprehensive course takes you from thefoundations of DevOpsto mastering the tools and practices that power today's most successful technology companies.

You'll start by understandingDevOps concepts—why it matters, how it transforms the Software Development Life Cycle (SDLC), and the culture of collaboration it creates. From there, you'll build a strong foundation withLinux and WSL, essential for any DevOps professional, and manage source code usingGitfor version control.

Next, you'll dive intoContinuous Integration and Continuous Delivery (CI/CD)withJenkins, automating builds, testing, and deployments. You'll then step into the world ofDocker, learning to containerize applications for consistency and scalability, before progressing toKubernetes, the industry standard for orchestrating containerized workloads in production.

Cloud skills are essential for DevOps engineers, so you'll gain hands-on experience withAmazon Web Services (AWS)—from compute (EC2) and storage (S3) to databases (RDS) and monitoring (CloudWatch). You'll also learn to deliver reliable and repeatable infrastructure withTerraform, mastering Infrastructure as Code across multiple cloud environments.

The course goes further withobservability toolslikePrometheus and Grafanato monitor and visualize system performance, andHelmto simplify Kubernetes application management.

By the end of this course, you'll be able to:

Design and automate CI/CD pipelines with Jenkins.

Build and run applications in Docker containers.

Deploy, scale, and manage workloads with Kubernetes.

Work confidently with AWS services for cloud-native DevOps.

Implement Infrastructure as Code using Terraform.

Monitor and secure your systems with Prometheus, Grafana, and RBAC.

Whether you are a beginner entering DevOps or an IT professional looking to upskill, this course equips you withend-to-end DevOps expertisethrough hands-on projects, real-world examples, and best practices.

Take the step toward becoming askilled DevOps Engineerready for high-demand roles in today's cloud-driven world.

DevOps Concepts

DevOps is a culture and set of practices that bridge the gap between software development and IT operations. It focuses on collaboration, automation, continuous integration, and continuous delivery (CI/CD). The goal is to deliver software faster, more reliably, and with higher quality by combining development, testing, deployment, and monitoring into a unified workflow.

Linux and WSL

Linux is the backbone of most DevOps environments, providing powerful tools for automation, scripting, and system administration. Windows Subsystem for Linux (WSL) allows running Linux distributions on Windows without a virtual machine, making it easier for developers to practice Linux skills directly on their Windows systems.

Git and Version Control

Git is a distributed version control system that enables teams to track changes in code, collaborate efficiently, and manage software versions. Paired with GitHub or other repositories, Git supports branching, merging, and collaborative workflows that are critical in modern DevOps pipelines.

Jenkins

Jenkins is a widely used open-source automation server for building, testing, and deploying software. It enables Continuous Integration (CI) and Continuous Delivery (CD) by automating workflows through pipelines, plugins, and integrations with other tools. Jenkins helps ensure code changes are tested and delivered quickly and reliably.

Docker

Docker is a containerization platform that packages applications and their dependencies into lightweight, portable containers. Containers ensure that applications run consistently across environments, from development to production. Docker simplifies deployment, improves scalability, and is fundamental to cloud-native and microservices architectures.

Kubernetes

Kubernetes (K8s) is an open-source platform for automating the deployment, scaling, and management of containerized applications. It provides orchestration features such as load balancing, service discovery, rolling updates, and self-healing. Kubernetes is the industry standard for managing containerized workloads in production environments.

AWS (Amazon Web Services)

AWS is the world's leading cloud platform, offering infrastructure and platform services on demand. DevOps engineers use AWS services like EC2 (compute), S3 (storage), RDS (databases), and CloudWatch (monitoring) to build scalable, secure, and flexible systems. AWS is essential for implementing cloud-native DevOps practices and CI/CD pipelines.

Prometheus and Grafana

Prometheus is an open-source monitoring system that collects time-series data on system and application performance. Grafana is a visualization tool that turns this data into dashboards for real-time monitoring and alerting. Together, they provide observability into DevOps workflows, helping identify and resolve issues quickly.

Terraform

Terraform is an Infrastructure as Code (IaC) tool that enables DevOps teams to define and provision cloud resources using declarative configuration files. It works across multiple cloud providers (AWS, Azure, GCP), ensuring consistent infrastructure deployment, scalability, and version control for infrastructure resources.

Helm

Helm is a package manager for Kubernetes that simplifies deploying and managing applications on a Kubernetes cluster. With Helm charts, DevOps engineers can standardize, version, and reuse complex Kubernetes configurations, making application delivery faster and more manageable.

In Summary

This course covers thefull DevOps toolchain: from foundational concepts (DevOps, Linux, Git) to essential CI/CD tools (Jenkins), containerization (Docker), orchestration (Kubernetes, Helm), cloud platforms (AWS), monitoring (Prometheus, Grafana), and Infrastructure as Code (Terraform). Together, these technologies provide a comprehensive skill set for any aspiring or practicing DevOps engineer.

The Complete DevOps Engineer Course: Docker, Kubernetes, Jenkins, AWS & Terraform - Course Curriculum

Topic 1: DevOps Foundations

Session 1: What is DevOps

Session 2: What is SDLC

Session 3: Why DevOps is Required

Session 4: Overview of Different DevOps Tools

Topic 2: Linux and WSL Essentials

Session 5: Why Learning Linux is Essential for DevOps Professionals

Session 6: Introduction to Linux and WSL

Session 7: WSL Installation And Setup Guide

Session 8: Essential Shell Commands for Ubuntu (Part 1)

Session 9: Essential Shell Commands for Ubuntu (Part 2)

Session 10: Ubuntu File System And WSL Integration

Session 11: From Nano to Vim to VS Code

Session 12: Bash Scripting in WSL

Session 13: Networking in WSL

Topic 3: Source Control and CI/CD Basics

Session 14: Version Control Systems Using Git

Session 15: Git Branching, Merging, GitHub, Merge Conflicts and .gitignore

Session 16: CI/CD Concepts

Topic 4: Jenkins Foundations

Session 17: Introduction to CI/CD Jenkins

Session 18: Jenkins Installation and Configuration

Session 19: Jenkins Essential

Session 20: Jenkins Pipeline as Code

Topic 5: Networking for DevOps

Session 21: Network Fundamentals for DevOps - Part 1

Session 22: Network Fundamentals for DevOps - Part 2

Topic 6: Docker Fundamentals

Session 23: Introduction to Docker

Session 24: Docker Basics - Essential Commands and Container Management (Part 1)

Session 25: Docker Basics - Essential Commands and Container Management (Part 2)

Topic 7: Docker Images and Dockerfile

Session 26: Working with Docker Images (Part 1)

Session 27: Working with Docker Images (Part 2)

Session 28: Working with Docker Images (Part 3)

Session 29: Custom Docker Images

Session 30: Advanced Dockerfile Instructions

Session 31: Dockerfile Best Practices

Topic 8: Docker Data Management

Session 32: Managing Data in Docker

Session 33: Working with Docker Volumes

Session 34: Understanding Bind Mounts

Session 35: Real-World Example - Web Development Environment

Session 36: Troubleshooting Common Issues for Docker Data

Topic 9: Docker Networking, Compose and Debugging

Session 37: Docker Networking

Session 38: Docker Compose

Session 39: Docker Debugging and Logs

Session 40: Docker Image Management

Session 41: Docker for Development

Session 42: Docker Tips and Best Practices

Topic 10: Docker Capstone

Session 43: Docker Real-World Project

Topic 11: Version Control Deep Dive

Session 44: Introduction to Version Control Systems (extra)

Session 45: Git Installation and Configuration (extra)

Session 46: Git Core Commands

Topic 12: Jenkins Integrations and Operations

Session 47: Jenkins with Docker - Step-by-Step Tutorial

Session 48: How to Secure Docker with Jenkins

Session 49: Configuring Git SCM in Jenkins

Session 50: Jenkins Basic Plugin Management

Session 51: Jenkins Notifications

Topic 13: Kubernetes Foundations

Session 52: What is Kubernetes

Session 53: Kubernetes Key Concepts and Terminology

Session 54: Kubernetes Architecture Overview

Session 55: Installing Kubernetes (Local Setup)

Session 56: First Hands-On Steps with Kubernetes Using Minikube

Topic 14: Kubernetes Workloads and Services

Session 57: Kubernetes Pods in Depth

Session 58: Kubernetes Deployments

Session 59: Kubernetes Services

Session 60: Kubernetes Labels and Selectors

Topic 15: Kubernetes Namespaces, Data and Config

Session 61: Kubernetes Namespaces

Session 62: Running MySQL with Kubernetes

Session 63: Kubernetes ConfigMaps & Secrets

Session 64: Kubernetes Volumes Tutorial - Part 1 - Basic Volumes

Session 65: Kubernetes Volumes Tutorial - Part 2 - Persistent Storage

Session 66: Kubernetes Volumes Tutorial - Part 3 - StorageClass

Topic 16: Kubernetes Reliability and Workload Management

Session 67: Kubernetes Probes - Liveness, Readiness, Startup

Session 68: Kubernetes Resource Management

Session 69: Kubernetes ReplicaSets and Horizontal Pod Autoscaling (HPA)

Session 70: Kubernetes Job and CronJob

Topic 17: Kubernetes Security and Networking

Session 71: Kubernetes RBAC Tutorial

Session 72: Kubernetes Network Policies

Topic 18: Kubernetes Observability

Session 73: Kubernetes Logs and Monitoring

Topic 19: Helm and Application Delivery

Session 74: Introduction to Helm

Session 75: Simple Web App Deployment on Kubernetes

Topic 20: CI/CD with Kubernetes

Session 76: CI/CD with Kubernetes

Topic 21: AWS Foundations

Session 77: Introduction to AWS

Session 78: Introduction to AWS Management Console and AWS CLI

Topic 22: AWS Core Services

Session 79: Amazon EC2

Session 80: Amazon S3

Session 81: Amazon RDS

Session 82: AWS CloudWatch

Topic 23: CI/CD on AWS

Session 83: CI/CD on AWS

Topic 24: Observability with Prometheus and Grafana

Session 84: Monitoring and Logging with Prometheus & Grafana - Part 1 - Foundations

Session 85: Monitoring and Logging with Prometheus & Grafana - Part 2

Session 86: Monitoring Tutorial Series (Part 3) - Overview

Session 87: Monitoring Tutorial - Part 3A Basic Setup

Session 88: Monitoring Tutorial - Part 3B Prometheus Setup

Session 89: Monitoring Tutorial - Part 3C Grafana Dashboards

Session 90: Monitoring Tutorial - Part 3D Advanced Monitoring

Topic 25: Infrastructure as Code with Terraform

Session 91: Getting Started with Terraform (Part 1)

Session 92: Working with Variables and Outputs (Part 2)

Session 93: Understanding State and Basic AWS (Part 3)

Session 94: Building Real Infrastructure and Best Practices (Part 4)

Who this course is for:
- Aspiring DevOps Engineers – beginners who want to break into DevOps and gain a full-stack skill set.
- Software Developers – looking to streamline deployments and adopt DevOps practices in their workflows.
- System Administrators & IT Operations Professionals – transitioning to modern DevOps, CI/CD, and cloud-native technologies.
- Cloud Engineers & Solution Architects – who need hands-on expertise in Docker, Kubernetes, and AWS.
- QA/Test Engineers – aiming to automate testing pipelines and integrate with CI/CD workflows.
- IT Students & Graduates – seeking industry-ready skills to launch a career in DevOps and cloud engineering.
- Freelancers & Consultants – who want to deliver scalable, automated solutions to clients.
- Anyone Interested in Cloud and Automation – professionals exploring DevOps as part of digital transformation initiatives.
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