Aws Devops Engineer Technical Skills

AWS Cloud DevOps Engineer

What you'll learn

The principles and culture of DevOps to enhance collaboration

Efficient source code management using Git

Containerization with Docker to build and manage microservices

Automating infrastructure deployment with Terraform

Simplifying configuration management using Ansible

Building and managing CI/CD pipelines with Jenkins

Orchestrating containerized applications with Kubernetes

Applying DevOps concepts in real-world scenarios

Requirements

AWS basics

IT Networking Basics

Description

AWS DevOps Engineer Technical SkillsThe AWS DevOps Engineer Technical Skills course is designed for individuals who have successfully completed the CompTIA Linux+ (XK0-005) Course “AWS Cloud Administrator | Fundamentals” and “AWS Cloud Administrator | Advanced” courses. This advanced DevOps skills course shifts focus from AWS administration services to the specialized skill set and technologies essential for DevOps roles.In this course, you will delve deep into the world of DevOps, covering a range of critical topics, including:Introduction to DevOps: Understand the principles, practices, and culture of DevOps that drive software development and operations.Version Control with Git: Learn how to manage source code efficiently using Git, the industry’s leading version control system.Microservices with Docker: Explore containerization with Docker to develop, deploy, and manage microservices.Infrastructure as Code with Terraform: Master Terraform to automate infrastructure deployment and management in a consistent and repeatable manner.Configuration Management with Ansible: Automate software provisioning, configuration management, and application deployment using Ansible.Continuous Integration with Jenkins: Implement continuous integration/continuous delivery (CI/CD) pipelines using Jenkins for faster and more reliable software releases.Container Orchestration with Kubernetes: Orchestrate and manage containerized applications at scale using Kubernetes.Monitoring and Alerting with Nagios: Monitor systems, networks, and infrastructure effectively using Nagios, ensuring high availability and performance.Throughout the course, we will apply these concepts in real-world case studies, providing hands-on experience that bridges theory and practice. By the end of this course, you will be well-equipped to confidently apply for AWS DevOps Engineer roles, with the expertise needed to excel in this dynamic field.

Overview

Section 1: Introduction

Lecture 1 Who should take this course? Info

Lecture 2 Course Content Breakdown

Section 2: What is SDLC

Lecture 3 What is SDLC

Section 3: Version Control with GIT-GITHUB

Lecture 4 Introduction to GIT and GITHUB

Lecture 5 Creating Repo on GITHUB and Console Access

Lecture 6 Case Study Number 2

Lecture 7 Case Study Number 3 Part-1

Lecture 8 Case Study Number 3 Part-2

Lecture 9 Case Study Number 4 Part-1

Lecture 10 Case Study Number 4 Part-2

Lecture 11 Case Study Number 4 Part-3

Lecture 12 Bonus Lab GITBASH

Section 4: MicroService - Docker

Lecture 13 Introduction to VM & Containerization PART 1

Lecture 14 Introduction to VM & Containerization PART 2

Lecture 15 Docker LAB Commands Overview

Lecture 16 Case Study Number 1 Part 1

Lecture 17 Case Study Number 1 Part 2

Lecture 18 Case Study Number 2

Lecture 19 Case Study Number 3

Lecture 20 Case Study Number 4

Lecture 21 Case Study Number 5 PART 1

Lecture 22 Case Study Number 5 PART 2

Lecture 23 Case Study Number 6

Lecture 24 Project Part 1

Lecture 25 Project Part 2

Section 5: Terraform

Lecture 26 Introduction to Terraform

Lecture 27 Case Study Number 1

Lecture 28 Case Study Number 2

Lecture 29 Case Study Number 3

Lecture 30 Case Study Number 4

Lecture 31 Case Study Number 5

Lecture 32 Project and Assignment Solution

Section 6: Ansible

Lecture 33 Introduction to Ansible

Lecture 34 Case Study Number 1

Lecture 35 Case Study Number 2

Lecture 36 Case Study Number 3

Lecture 37 Case Study Number 5

Lecture 38 Introduction to Ansible Roles

Lecture 39 Case Study Number 6 and Troubleshooting

Section 7: Jenkins

Lecture 40 Introduction to JENKINS

Lecture 41 Case Study No 1 Explanation and Flow

Lecture 42 Case Study No 1 LAB

Lecture 43 Case Study No 2 Explanation and Flow

Lecture 44 Case Study No 2 LAB

Lecture 45 Case Study No 3 Explanation and Flow

Lecture 46 Case Study No. 3 LAB

Lecture 47 Case Study No 4 Explanation and Flow

Lecture 48 Case Study No 4 LAB

Lecture 49 Case Study No 5 Explanation and Flow

Lecture 50 Case Study No. 5 LAB

Lecture 51 Case Study No 6 Explanation and Flow

Lecture 52 Case Study No 6 LAB

Lecture 53 Case Study No 7 Explanation and Flow

Lecture 54 Case Study No. 7 LAB

Lecture 55 Case Study No 8 Explanation and Flow

Lecture 56 Case Study No. 8 LAB

Lecture 57 Case Study No 9 Explanation and Flow

Lecture 58 Case Study No 9 LAB

Lecture 59 Case Study No 10 Explanation and Flow

Lecture 60 Case Study No 10 LAB

Lecture 61 Case Study No 11 Explanation and Flow

Lecture 62 Case Study No 11 LAB

Lecture 63 Case Study No 12 Explanation and Flow

Lecture 64 Case Study No 12 LAB

Lecture 65 Project No. 1 Explanation

Lecture 66 Project No.1 LAB

Lecture 67 Project No. 2 Explanation

Lecture 68 Project No. 2 MAVEN Explanation

Lecture 69 Project No.2 LAB

Section 8: Kubernetes

Lecture 70 Introduction to Kubernetes Theory

Lecture 71 Kubernetes Architecture Theory

Lecture 72 Kubernetes Master Worker Node Installation LAB

Lecture 73 Different Kind of Resources and Core Workloads Theory

Lecture 74 Different Kind of Resources & Core Workloads POD LAB

Lecture 75 Service & Networking Theory

Lecture 76 Service & Networking NodePort LAB

Lecture 77 Service & Networking ClusterIP LAB

Lecture 78 Service & Networking LoadBalancer LAB

Lecture 79 Deployment in Kubernetes Theory

Lecture 80 Deployment in Kubernetes Replica LAB

Lecture 81 Deployment in Kubernetes Updates and Rollout LAB

Lecture 82 Storage in Kubernetes Theory

Lecture 83 Storage in Kubernetes LAB

Lecture 84 Namespaces in K8 Theory

Lecture 85 Namespaces in K8 LAB

Lecture 86 High Availability & Security in K8 and Final Words

Section 9: Nagios

Lecture 87 Nagios Introduction

Lecture 88 Case Study No 1 Installation

Lecture 89 Case Study No 2 Swapspace Resolution

Lecture 90 Case Study No 3 Adding FTP Service

Lecture 91 Case Study No 4 Adding Debian Host to Monitoring System

Lecture 92 Case Study No 5 Adding Apache HTTP and PING Service

Lecture 93 Case Study No 6 HostGroup

Lecture 94 Case Study No 7 Force-Check

Lecture 95 Case Study No 8 Users and Permission

Lecture 96 Case Study No 9 EMAIL Notification

Lecture 97 Case Study No 10 Adding Web Service

Lecture 98 Assignment Adding Windows Host

Lecture 99 Good Bye

Section 10: How to apply for jobs and tips

Lecture 100 How to apply for jobs and tips

IT Professionals transition to AWS Administrator or DevOps roles