AWS &DevOps Engineer Course by Ashatai Shankar Jagtap

The AWS & DevOps Engineer Training course is a comprehensive program designed for students, IT professionals, and aspiring cloud engineers who want to master Linux, cloud platforms, DevOps practices, and container orchestration. This course equips learners with the essential skills required to design, deploy, and manage modern cloud-based and DevOps-driven infrastructure.

Delivered online, the program combines theoretical knowledge with hands-on exercises, covering Linux administration, AWS and Azure cloud services, Docker, Kubernetes, CI/CD pipelines, GitHub Actions, and DevOps principles. By the end of the course, students will have practical expertise to work as cloud and DevOps engineers in real-world projects.

What Students Will Learn

Linux Basics

• Introduction to Linux

• Linux architecture

• Linux distributions

• File system structure

• Basic commands

File and Directory Management

• pwd, ls, cd

• mkdir, rmdir

• cp, mv, rm

• touch

• find and locate

User and Group Management

• useradd, userdel

• groupadd, groupdel

• passwd

• /etc/passwd and /etc/shadow

• Sudo access

File Permissions

• Read, write, execute

• chmod

• chown

• chgrp

• Numeric and symbolic permissions

Process Management

• ps

• top

• kill

• nice and renice

• Background and foreground processes

Package Management

• yum

• dnf

• apt

• rpm

• Installing and removing packages

Disk and Storage Management

• df

• du

• mount and umount

• fdisk

• LVM basics

Networking in Linux

• ifconfig and ip command

• netstat

• ss

• ping

• traceroute

• SSH

Shell Scripting

• Variables

• Input and output

• Conditional statements

• Loops

• Functions

• Script execution

Log Management

• /var/log directory

• syslog

• journalctl

• Log rotation

Crontab and Scheduling

• Crontab syntax

• Scheduling jobs

• at command

AWS

• AWS Global Infrastructure

• IAM (Users, Roles, Policies)

• EC2 and AMI

• Auto Scaling and Load Balancer

• VPC, Subnets, Route Tables

• Internet Gateway and NAT Gateway

• Security Groups and NACL

• S3, EBS, EFS

• RDS and DynamoDB

• CloudWatch and CloudTrail

• Route 53

• Lambda basics

• Backup and disaster recovery

Azure

• Azure Architecture and Regions

• Azure Virtual Machines

• Azure Virtual Network

• Subnets and NSG

• Azure Storage Accounts

• Azure App Services

• Azure Load Balancer

• Azure SQL Database

• Azure Active Directory

• Azure Monitor

• Azure DevOps basics

DevOps

• DevOps lifecycle

• CI/CD concepts

• Agile and Scrum basics

• Version control system

• Continuous Integration

• Continuous Deployment

• Infrastructure as Code

• Configuration management

• Monitoring and logging

• Deployment strategies

GitHub

• Repository management

• Branching and merging

• Pull requests

• Merge conflicts

• Tags and releases

• GitHub permissions

• Webhooks

GitHub Actions

• Workflow structure

• YAML syntax

• Events and triggers

• Jobs and steps

• Runners

• Secrets management

• Build and test automation

• Deployment pipelines

Docker

• Container concept

• Docker architecture

• Docker installation

• Dockerfile creation

• Image building

• Container management

• Docker networking

• Docker volumes

• Docker Compose

• Docker registry

Kubernetes

• Kubernetes architecture

• Cluster setup

• Pods

• ReplicaSet

• Deployment

• StatefulSet

• Services (ClusterIP, NodePort, LoadBalancer)

• Ingress

• ConfigMap and Secrets

• Namespace

• RBAC

• Helm

• Horizontal Pod Autoscaler

• Rolling updates and rollback

Teaching Method

The course is conducted through interactive online sessions, blending lectures, live demos, and hands-on labs. Key teaching approaches include:

• Step-by-step demonstrations for Linux, cloud, Docker, Kubernetes, and DevOps workflows
• Hands-on exercises with real-world scenarios and cloud environments
• Mini-projects for practice in AWS, Azure, containerization, and CI/CD pipelines
• Personalized guidance, progress tracking, and doubt-clearing sessions

Students actively build infrastructure, deploy applications, and automate workflows to gain practical experience.

Why This Course

This training provides a complete end-to-end DevOps and cloud engineering curriculum. Learners gain practical experience with Linux administration, AWS and Azure services, Docker, Kubernetes, CI/CD pipelines, and GitHub Actions, preparing them for industry roles in cloud computing and DevOps.

Benefits and Outcomes

By completing this course, students will:

• Gain proficiency in Linux, cloud platforms (AWS & Azure), and DevOps tools
• Build, deploy, and manage applications using Docker and Kubernetes
• Implement CI/CD pipelines using GitHub Actions
• Understand DevOps lifecycle, best practices, and monitoring techniques
• Prepare for professional roles as AWS & DevOps engineers
• Develop real-world project experience and hands-on technical skills

This course equips learners with both theoretical knowledge and practical expertise, making them industry-ready for cloud and DevOps roles.