Devops-AWS

DevOps with AWS

Master DevOps practices and AWS tools to build, deploy, and manage scalable applications.

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📄 Course Content

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DevOps with AWS

1. Introduction to DevOps

🔍 Key Concepts

  • What is DevOps?
  • Stakeholders in DevOps
  • Software Development Life Cycle (SDLC)
    • Phases of SDLC
    • Role of Dev & Ops in SDLC
  • SDLC Methodologies:
    • Waterfall vs. Agile & Scrum
    • Agile Manifesto & Workflow
  • DevOps Lifecycle & Tools

💻 Labs

  1. Analyze SDLC phases for a sample project.

2. Linux Fundamentals

🔍 Key Concepts

  • Linux vs. Windows
  • Linux Architecture & Flavors
  • File System Management
  • User/Group Management
  • Shell Scripting:
    • Variables, Loops, Functions
    • Command-line Arguments

💻 Labs

  1. Practice Linux commands (e.g., file editing, permissions).
  2. Write a shell script for automated backups.

3. Version Control with Git

🔍 Key Concepts

  • Git vs. Other VCS Tools
  • Git Workflow:
    • Staging, Committing, Branching
    • Merging, Rebasing, Pull Requests
  • GitHub Account Setup

💻 Labs

  1. Clone a repository, create branches, and resolve conflicts.

4. Build Automation with Maven

🔍 Key Concepts

  • Maven Lifecycle & Dependencies
  • Local/Central/Remote Repositories
  • Archetypes & Goals

💻 Labs

  1. Create a Maven project and automate builds.

5. CI/CD with Jenkins

🔍 Key Concepts

  • Jenkins Master-Slave Architecture
  • Pipeline Creation (Multi-stage)
  • Integrations:
    • Maven, Git, SonarQube, Docker, Kubernetes

💻 Labs

  1. Set up a Jenkins pipeline for a Java app.
  2. Integrate Jenkins with Docker for deployments.

6. Configuration Management with Ansible

🔍 Key Concepts

  • Playbooks & YAML Syntax
  • Roles, Handlers, Tags
  • Ansible Galaxy & Tower

💻 Labs

  1. Write a playbook to configure web servers.

7. Containerization with Docker

🔍 Key Concepts

  • Docker Architecture & Lifecycle
  • Dockerfile, Networks, Volumes
  • Docker Compose & Swarm

💻 Labs

  1. Containerize a Spring Boot app.
  2. Deploy a multi-container app using Docker Compose.

8. Orchestration with Kubernetes

🔍 Key Concepts

  • Pods, Services, Deployments
  • ConfigMaps, Secrets, Ingress
  • Helm Charts & Monitoring (Grafana, Prometheus)

💻 Labs

  1. Deploy a microservices app on Kubernetes.

9. Infrastructure as Code (Terraform)

🔍 Key Concepts

  • Terraform vs. Ansible
  • Scripting AWS Infrastructure (EC2, VPC, S3)

💻 Labs

  1. Provision AWS resources using Terraform.

10. AWS Core Services

🔍 Key Concepts

  • Compute: EC2, Auto Scaling, Load Balancing
  • Storage: S3, EBS, EFS
  • Networking: VPC, Route 53
  • Security: IAM, Security Groups
  • Databases: RDS, DynamoDB
  • Serverless: Lambda, API Gateway

💻 Labs

  1. Host a static website on S3.
  2. Configure a VPC with public/private subnets.

11. Advanced AWS Tools

🔍 Key Concepts

  • Monitoring: CloudWatch
  • Messaging: SQS, SNS
  • PaaS: Elastic Beanstalk
  • IaC: CloudFormation

💻 Labs

  1. Set up alarms in CloudWatch.
  2. Deploy an app using Elastic Beanstalk.

12. Certification & Interview Prep

📚 Topics Covered

  • Resume Building Tips
  • AWS Certification Roadmap
  • Frequently Asked Interview Questions

🛠️ Tools & Technologies Covered

  • Containers: Docker, Kubernetes
  • CI/CD: Jenkins, Git, Maven
  • Cloud: AWS (EC2, S3, VPC, Lambda)
  • IaC: Terraform, CloudFormation
  • Monitoring: Grafana, Prometheus
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Our Testimonials

Client & Student Feedback

"The AI course changed my career! The hands-on projects were amazing, and the instructors made complex topics easy to understand. I secured a job as an AI Engineer within weeks of completing the program!"

Rahul Sharma

AI Engineer at XYZ Tech

"The real-world projects and expert mentorship at SRINEXTGEN gave me the confidence to apply AI in my work. The job assistance was a game changer—I landed a role as a Data Scientist!"

Priya Mehta

Data Scientist at ABC Analytics

"Coming from a non-technical background, I was hesitant to learn AI. But this course broke down everything step by step. Now, I’m working on AI-driven projects at my company!"

Amit Verma

AI Consultant at DEF Solutions

"The practical approach of the AI course was fantastic. Learning through real-world projects helped me secure a freelance AI gig before even finishing the course!"

Sneha Kapoor

Freelance AI Developer

"The certification from SRINEXTGEN gave my resume a big boost. Recruiters were impressed with my skills, and I got multiple job offers!"

Rajesh Kumar

AI Engineer at GHI Innovations

"I always wanted to transition into AI, but I didn't know where to start. This course provided the right mix of theory and practice, making me job-ready in just a few months!"

Ananya Roy

Machine Learning Engineer at JKL Solutions