AWS DevOps Engineering: Ultimate 3-Month Job-Oriented Program

This comprehensive curriculum is designed to take you from a beginner to a job-ready DevOps Engineer. Led by Karthik Pyati, an expert with deep industry experience in AWS, CI/CD, and Cloud Automation, this program focuses on the high-demand tools and real-world scenarios you’ll face in the field.

Gemini said

AWS DevOps Engineering: Ultimate 3-Month Job-Oriented Program

This comprehensive curriculum is designed to take you from a beginner to a job-ready DevOps Engineer. Led by Karthik Pyati, an expert with deep industry experience in AWS, CI/CD, and Cloud Automation, this program focuses on the high-demand tools and real-world scenarios you’ll face in the field.

🛠️ Detailed 12-Week Roadmap

Phase 1: Fundamentals (Weeks 1-4)

• Linux Mastery: Filesystem hierarchy, user management, permissions, shell scripting, and core networking commands.

• Version Control (Git/GitHub): Branching strategies, merging, rebasing, and collaborative workflows.

• CI/CD Basics (Jenkins): Installing Jenkins, creating freestyle jobs, and basic pipeline automation.

Phase 2: Containers & Infrastructure as Code (Weeks 5-8)

• Docker: Containerization, writing Dockerfiles, image optimization, and Docker Compose for multi-container apps.

• Ansible: Configuration management, playbooks, inventory management, and automated server setup.

• Terraform: Infrastructure as Code (IaC) using HCL, state management, modules, and multi-region AWS deployments.

Phase 3: Advanced AWS & Orchestration (Weeks 9-12)

Core AWS Services: * IAM: Identity and Access Management (Users, Roles, Policies).

• VPC: Virtual Private Cloud (Subnets, Gateways, Route Tables, Security Groups).

• EC2: Instance types, EBS, and Key-pair management.

• S3: Object storage, lifecycle policies, and bucket security.

• High Availability: Elastic Load Balancer (ELB) and Auto Scaling Groups (ASG).

• Kubernetes (K8s): Architecture, Pods, Deployments, Services, ConfigMaps, and Secrets.

• Advanced Monitoring: Setting up Prometheus and Grafana for real-time infrastructure and application metrics.

Gemini said

AWS DevOps Engineering: Ultimate 3-Month Job-Oriented Program

This comprehensive curriculum is designed to take you from a beginner to a job-ready DevOps Engineer. Led by Karthik Pyati, an expert with deep industry experience in AWS, CI/CD, and Cloud Automation, this program focuses on the high-demand tools and real-world scenarios you’ll face in the field.

🛠️ Detailed 12-Week Roadmap

Phase 1: Fundamentals (Weeks 1-4)

• Linux Mastery: Filesystem hierarchy, user management, permissions, shell scripting, and core networking commands.

• Version Control (Git/GitHub): Branching strategies, merging, rebasing, and collaborative workflows.

• CI/CD Basics (Jenkins): Installing Jenkins, creating freestyle jobs, and basic pipeline automation.

Phase 2: Containers & Infrastructure as Code (Weeks 5-8)

• Docker: Containerization, writing Dockerfiles, image optimization, and Docker Compose for multi-container apps.

• Ansible: Configuration management, playbooks, inventory management, and automated server setup.

• Terraform: Infrastructure as Code (IaC) using HCL, state management, modules, and multi-region AWS deployments.

Phase 3: Advanced AWS & Orchestration (Weeks 9-12)

Core AWS Services: * IAM: Identity and Access Management (Users, Roles, Policies).

• VPC: Virtual Private Cloud (Subnets, Gateways, Route Tables, Security Groups).

• EC2: Instance types, EBS, and Key-pair management.

• S3: Object storage, lifecycle policies, and bucket security.

• High Availability: Elastic Load Balancer (ELB) and Auto Scaling Groups (ASG).

• Kubernetes (K8s): Architecture, Pods, Deployments, Services, ConfigMaps, and Secrets.

• Advanced Monitoring: Setting up Prometheus and Grafana for real-time infrastructure and application metrics.

🚀 Real-Time Industry Projects

• The "Golden" CI/CD Pipeline: A fully automated flow using Git → Jenkins → Docker → Kubernetes → AWS.

• Infrastructure Automation: Using Terraform to spin up a production-grade VPC with private/public subnets and load-balanced EC2 instances.

Observability Stack: Deploying Prometheus and Grafana to monitor system health (CPU, RAM, Disk) and alert on critical failures.

Gemini said

AWS DevOps Engineering: Ultimate 3-Month Job-Oriented Program

This comprehensive curriculum is designed to take you from a beginner to a job-ready DevOps Engineer. Led by Karthik Pyati, an expert with deep industry experience in AWS, CI/CD, and Cloud Automation, this program focuses on the high-demand tools and real-world scenarios you’ll face in the field.

🛠️ Detailed 12-Week Roadmap

Phase 1: Fundamentals (Weeks 1-4)

• Linux Mastery: Filesystem hierarchy, user management, permissions, shell scripting, and core networking commands.

• Version Control (Git/GitHub): Branching strategies, merging, rebasing, and collaborative workflows.

• CI/CD Basics (Jenkins): Installing Jenkins, creating freestyle jobs, and basic pipeline automation.

Phase 2: Containers & Infrastructure as Code (Weeks 5-8)

• Docker: Containerization, writing Dockerfiles, image optimization, and Docker Compose for multi-container apps.

• Ansible: Configuration management, playbooks, inventory management, and automated server setup.

• Terraform: Infrastructure as Code (IaC) using HCL, state management, modules, and multi-region AWS deployments.

Phase 3: Advanced AWS & Orchestration (Weeks 9-12)

• Core AWS Services: * IAM: Identity and Access Management (Users, Roles, Policies).

VPC: Virtual Private Cloud (Subnets, Gateways, Route Tables, Security Groups).

EC2: Instance types, EBS, and Key-pair management.

S3: Object storage, lifecycle policies, and bucket security.

High Availability: Elastic Load Balancer (ELB) and Auto Scaling Groups (ASG).

• Kubernetes (K8s): Architecture, Pods, Deployments, Services, ConfigMaps, and Secrets.

• Advanced Monitoring: Setting up Prometheus and Grafana for real-time infrastructure and application metrics.

🚀 Real-Time Industry Projects

1. The "Golden" CI/CD Pipeline: A fully automated flow using Git → Jenkins → Docker → Kubernetes → AWS.

2. Infrastructure Automation: Using Terraform to spin up a production-grade VPC with private/public subnets and load-balanced EC2 instances.

🎓 Learning Outcomes

• Automate entire software delivery lifecycles.

• Architect scalable and secure cloud environments on AWS.

• Manage complex containerized applications using Kubernetes.

• Prepare for industry interviews with mock sessions and resume-building support.