DevOps Engineer: Docker, Kubernetes, Jenkins, Terraform, AWS
Published 9/2025
Duration: 49h 46m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 27.5 GB
Genre: eLearning | Language: English
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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esign 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 with end-to-end DevOps expertise through hands-on projects, real-world examples, and best practices.Take the step toward becoming a skilled DevOps Engineer ready for high-demand roles in today's cloud-driven world.DevOps ConceptsDevOps 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 WSLLinux 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 ControlGit 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.JenkinsJenkins 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.DockerDocker 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.KubernetesKubernetes (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 GrafanaPrometheus 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.TerraformTerraform 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.HelmHelm 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 SummaryThis course covers the full 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 CurriculumTopic 1: DevOps FoundationsSession 1: What is DevOpsSession 2: What is SDLCSession 3: Why DevOps is RequiredSession 4: Overview of Different DevOps ToolsTopic 2: Linux and WSL EssentialsSession 5: Why Learning Linux is Essential for DevOps ProfessionalsSession 6: Introduction to Linux and WSLSession 7: WSL Installation And Setup GuideSession 8: Essential Shell Commands for Ubuntu (Part 1)Session 9: Essential Shell Commands for Ubuntu (Part 2)Session 10: Ubuntu File System And WSL IntegrationSession 11: From Nano to Vim to VS CodeSession 12: Bash Scripting in WSLSession 13: Networking in WSLTopic 3: Source Control and CI/CD BasicsSession 14: Version Control Systems Using GitSession 15: Git Branching, Merging, GitHub, Merge Conflicts and .gitignoreSession 16: CI/CD ConceptsTopic 4: Jenkins FoundationsSession 17: Introduction to CI/CD JenkinsSession 18: Jenkins Installation and ConfigurationSession 19: Jenkins EssentialSession 20: Jenkins Pipeline as CodeTopic 5: Networking for DevOpsSession 21: Network Fundamentals for DevOps - Part 1Session 22: Network Fundamentals for DevOps - Part 2Topic 6: Docker FundamentalsSession 23: Introduction to DockerSession 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 DockerfileSession 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 ImagesSession 30: Advanced Dockerfile InstructionsSession 31: Dockerfile Best PracticesTopic 8: Docker Data ManagementSession 32: Managing Data in DockerSession 33: Working with Docker VolumesSession 34: Understanding Bind MountsSession 35: Real-World Example - Web Development EnvironmentSession 36: Troubleshooting Common Issues for Docker DataTopic 9: Docker Networking, Compose and DebuggingSession 37: Docker NetworkingSession 38: Docker ComposeSession 39: Docker Debugging and LogsSession 40: Docker Image ManagementSession 41: Docker for DevelopmentSession 42: Docker Tips and Best PracticesTopic 10: Docker CapstoneSession 43: Docker Real-World ProjectTopic 11: Version Control Deep DiveSession 44: Introduction to Version Control Systems (extra)Session 45: Git Installation and Configuration (extra)Session 46: Git Core CommandsTopic 12: Jenkins Integrations and OperationsSession 47: Jenkins with Docker - Step-by-Step TutorialSession 48: How to Secure Docker with JenkinsSession 49: Configuring Git SCM in JenkinsSession 50: Jenkins Basic Plugin ManagementSession 51: Jenkins NotificationsTopic 13: Kubernetes FoundationsSession 52: What is KubernetesSession 53: Kubernetes Key Concepts and TerminologySession 54: Kubernetes Architecture OverviewSession 55: Installing Kubernetes (Local Setup)Session 56: First Hands-On Steps with Kubernetes Using MinikubeTopic 14: Kubernetes Workloads and ServicesSession 57: Kubernetes Pods in DepthSession 58: Kubernetes DeploymentsSession 59: Kubernetes ServicesSession 60: Kubernetes Labels and SelectorsTopic 15: Kubernetes Namespaces, Data and ConfigSession 61: Kubernetes NamespacesSession 62: Running MySQL with KubernetesSession 63: Kubernetes ConfigMaps & SecretsSession 64: Kubernetes Volumes Tutorial - Part 1 - Basic VolumesSession 65: Kubernetes Volumes Tutorial - Part 2 - Persistent StorageSession 66: Kubernetes Volumes Tutorial - Part 3 - StorageClassTopic 16: Kubernetes Reliability and Workload ManagementSession 67: Kubernetes Probes - Liveness, Readiness, StartupSession 68: Kubernetes Resource ManagementSession 69: Kubernetes ReplicaSets and Horizontal Pod Autoscaling (HPA)Session 70: Kubernetes Job and CronJobTopic 17: Kubernetes Security and NetworkingSession 71: Kubernetes RBAC TutorialSession 72: Kubernetes Network PoliciesTopic 18: Kubernetes ObservabilitySession 73: Kubernetes Logs and MonitoringTopic 19: Helm and Application DeliverySession 74: Introduction to HelmSession 75: Simple Web App Deployment on KubernetesTopic 20: CI/CD with KubernetesSession 76: CI/CD with KubernetesTopic 21: AWS FoundationsSession 77: Introduction to AWSSession 78: Introduction to AWS Management Console and AWS CLITopic 22: AWS Core ServicesSession 79: Amazon EC2Session 80: Amazon S3Session 81: Amazon RDSSession 82: AWS CloudWatchTopic 23: CI/CD on AWSSession 83: CI/CD on AWSTopic 24: Observability with Prometheus and GrafanaSession 84: Monitoring and Logging with Prometheus & Grafana - Part 1 - FoundationsSession 85: Monitoring and Logging with Prometheus & Grafana - Part 2Session 86: Monitoring Tutorial Series (Part 3) - OverviewSession 87: Monitoring Tutorial - Part 3A Basic SetupSession 88: Monitoring Tutorial - Part 3B Prometheus SetupSession 89: Monitoring Tutorial - Part 3C Grafana DashboardsSession 90: Monitoring Tutorial - Part 3D Advanced MonitoringTopic 25: Infrastructure as Code with TerraformSession 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)