DevOps with AWS
AWS CodeCommit || Code Build || Code || Pipeline || AWS Batch || Docker|| ECR | ECS | EKS || Glue | Athena || IAM Identity Center || AWS Organizations
Course Overview
DevOps with AWS is a powerful combination that enables organizations to build, deploy, and manage applications efficiently. This course provides hands-on training on DevOps tools and AWS cloud services, helping you streamline software development and operations.
You will learn how to automate infrastructure, implement CI/CD pipelines, and use containerization with Docker and Kubernetes. Our expert instructors will guide you through real-world use cases to help you gain practical knowledge.
Whether you are an IT professional or a fresher, this course will help you master DevOps practices using AWS. Join us to enhance your skills and boost your career in cloud computing.
Learn software skills with real experts, either in live classes with videos or without videos, whichever suits you best.
Course Details:
Course Price:
with videos : ₹ 21,000/-
with out videos : ₹ 16,000/-
Lesson Duration
3 Months
Language:
English
Fill Details
Description
DevOps with AWS training focuses on automation, continuous integration, and deployment strategies using AWS services. It covers essential DevOps tools like Git, Jenkins, Docker, Kubernetes, Terraform, and Ansible. You will also work with AWS services such as EC2, S3, Lambda, CloudFormation, and CodePipeline to build scalable applications.
This course is designed to provide hands-on experience through real-time projects. You will learn to set up cloud infrastructure, automate workflows, and monitor performance using AWS tools. By the end of this training, you will be ready to handle DevOps operations in any cloud-based environment.
Course Objectives
- Understand the core concepts of DevOps and its importance in software development.
- Learn AWS cloud computing and its role in DevOps implementation.
- Master version control using Git and GitHub.
- Build automated CI/CD pipelines with Jenkins and AWS CodePipeline.
- Deploy applications using Docker and Kubernetes on AWS.
- Automate infrastructure with Terraform and CloudFormation.
- Implement configuration management using Ansible.
- Monitor and log applications with AWS CloudWatch and ELK stack.
- Gain practical experience through real-time projects and case studies.
Prerequisites
- Basic knowledge of Linux and command-line interface.
- Understanding of software development and deployment processes.
- Familiarity with cloud computing concepts is a plus but not mandatory.
Course Curriculum
- What is DevOps?
- DevOps Market Trends DevOps Engineer Skills
- DevOps Delivery Pipeline
- DevOps Ecosystem
- Introduction
- What is Virtualization
- Server Virtualization
- Desktop Virtualization
- Application Virtualization
- All-important Linux commands.
- The Linux filesystem.
- File permissions.
- Process management.
- User account management.
- Software management.
- Networking in Linux.
- Cloud Computing
- What is virtualization?
- AWS Platform
- EC2 Instance
- Load Balancing
- EBS (Elastic Block Storage)
- S3(Simple Storage Service) Storage in Cloud
- IAM:(Identity Access Management)
- Amazon Virtual Private Cloud (VPC)
- Dynamo DB
- AWS Lambda
- ROUTE 53
- Introduction
- Type of shells
- Variables
- Types of variables
- Operators
- Input arguments
- String comparison
- Athematic comparison
- File conditions
- If, loops, case, functions
- Examples
- Apache webserver
- Tomcat application server
- Git Introductions
- Git Workflow
- How to setup GIT
- Working with various commands in GIT
- Recording Changes to the Repository
- Viewing the Commit History
- Undoing Things
- Git Forking
- Working with Remotes
- Branching and Merging in Git
- Maven Installation
- Maven Build requirements
- Maven POM Builds (pom.xml)
- Maven Build Life Cycle
- Maven Local Repository (.m2)
- Maven Global Repository
- Group ID, Artifact ID, Snapshot
- Maven Dependencies
- Maven Plugin
- Installation & Configuration of SonarQube
- Initiate code-scan with SonarQube server
- SonarQube dashboard
- Sample project to check code scan
- Maven integration with SonarQube
- Real-time use cases on SonarQube
- Introduction to Jenkins
- Continuous Integration with Jenkins
- Configure Jenkins
- Jenkins Management
- Scheduling build Jobs
- Jenkins Master & Slave Node Configuration
- Jenkins Workspace Management
- Securing Jenkins
- Jenkins Plugins
- Jenkins configure with below services tools
- Docker Introduction
- What is Docker Image
- How to get Docker Image
- Docker Installation
- Working with Docker Containers
- Docker Command Line Interphase
- Docker Compose
- Docker Hub
- Docker Trusted Registry
- Docker swarm
- Docker attaches
- Docker File & Command
- Revisiting Kubernetes
- Cluster Architecture
- Spinning up a Kubernetes Cluster on Ec2 VMs
- Exploring your Cluster
- Understanding YAML
- Creating a Deployment in Kubernetes using YAML
- Creating a Service in Kubernetes
- Installing Kubernetes Dashboard
- Deploying an App using Dashboard
- Using Rolling Updates in Kubernetes
- Containers and Container Orchestration
- Helm Charts
- Schedulers
- Metric Server deployment
- Kubernetes volume
- RBAC process
- Installation, Configuration and Deployment of HELM
- EFK STACK Configuration
- Installation
- Configurations
- Introduction to Continuous Monitoring
- Introduction to Grafana
- Installing Grafana
- Grafana Prometheus and Objects
- Grafana Prometheus configure to Kubernetes
- Introduction to Ansible
- Ansible Server Configuration
- Infrastructure Management
- SSH Connection in Ansible Master
- YAML Scripts
- Host Inventory
- Ad-hoc Commands
- Playbooks
- Core & Extra Modules
- Ansible Role
- Introduction to terraform
- Getting started with Terraform
- Terraform Modules
- Terraform: Writing in a more organized way
- Terraform with AWS: lab
- Terraform state
- Terraform with AWS: Lab Part
- Terraform Troubleshooting and Testing
- Terraform Best Practices
- Introduction to Python
- List, Ranges & Tuples in Python
- Input and Output in Python
- Python Object Oriented
- Python Regular Expressions
- Python Necessity DevOps
Who can learn this course
- IT professionals looking to upskill in DevOps and cloud computing.
- Software developers who want to automate deployment and infrastructure.
- System administrators and cloud engineers interested in AWS DevOps.
- Freshers and graduates aiming for a career in DevOps and cloud technologies.
Enroll Now!
This DevOps with AWS Training in KPHB equips you with the right skills to advance in the cloud and DevOps domain.
So why wait? Join today and start your journey in DevOps AWS with expert guidance!
Talk to Advaisor
FAQ's
DevOps is a set of practices that combines software development (Dev) and IT operations (Ops) to enhance the efficiency, speed, and reliability of software deployment. It fosters collaboration, automation, and continuous improvement.
AWS plays a crucial role in DevOps by offering a scalable, reliable, and secure cloud environment. With AWS, organizations can automate infrastructure management, streamline deployments, and integrate DevOps tools to accelerate software delivery and improve system resilience.
AWS provides various services to support DevOps workflows, including:
- AWS CodePipeline – Automates the build, test, and deployment phases.
- AWS CodeBuild – Compiles and tests code automatically.
- AWS CodeDeploy – Automates application deployment to EC2, Lambda, and on-premises servers.
- AWS CodeCommit – A managed source control service similar to Git.
- Amazon EC2 & ECS – For scalable compute resources and containerized applications.
- AWS Lambda – For serverless execution of code without managing infrastructure.
- Amazon CloudWatch – For monitoring application performance and infrastructure health.
- AWS IAM (Identity & Access Management) – Ensures secure access control.
AWS streamlines CI/CD by automating code integration, testing, and deployment. The key services supporting CI/CD include:
- AWS CodePipeline – Enables end-to-end automation of software release cycles.
- AWS CodeBuild – Compiles and tests application code to detect errors early.
- AWS CodeDeploy – Deploys applications seamlessly to AWS services and on-premises servers.
- AWS Lambda – Supports event-driven CI/CD processes for serverless applications.
- Amazon S3 & CloudFront – Stores and delivers static assets with low latency.
By leveraging these tools, organizations reduce manual intervention, minimize errors, and deploy high-quality applications quickly.
Learning DevOps with AWS offers several advantages:
- High Demand – AWS DevOps skills are in high demand across industries.
- Scalability & Automation – AWS allows automation of infrastructure and application deployment at scale.
- Faster Software Delivery – CI/CD pipelines reduce development cycles and increase deployment speed.
- Improved Security – AWS security tools help manage access, compliance, and vulnerability assessments.
- Cost Efficiency – AWS offers pay-as-you-go pricing, reducing infrastructure costs.
- Job Opportunities – AWS DevOps engineers, cloud architects, and automation specialists are highly sought after.
To begin learning DevOps with AWS, you should have:
- Basic Linux knowledge – Understanding shell scripting and command-line operations.
- Fundamentals of cloud computing – Familiarity with AWS services like EC2, S3, and IAM.
- Basic programming skills – Python, Bash, or YAML for automation scripting.
- Understanding of networking concepts – VPC, subnets, security groups, and DNS.
- Version control knowledge – Git and GitHub/GitLab.
- Basics of CI/CD tools – Jenkins, AWS CodePipeline, or GitHub Actions.
If you’re a beginner, AWS provides free-tier access and hands-on labs to help you get started.
After mastering DevOps with AWS, you can pursue various career paths, such as:
- AWS DevOps Engineer – Designs and implements CI/CD pipelines, automates infrastructure, and ensures system reliability.
- Cloud Engineer – Manages cloud environments, optimizes AWS resources, and ensures security compliance.
- Site Reliability Engineer (SRE) – Focuses on system reliability, monitoring, and performance optimization.
- Automation Engineer – Automates deployment processes and infrastructure provisioning using IaC (Infrastructure as Code).
- Release Manager – Oversees software releases, ensuring seamless deployment and version control.
- Cloud Security Engineer – Implements security best practices in AWS environments.
With AWS DevOps skills, you can land high-paying roles in top IT companies globally.
