.webp)
AWS DevOps Course by Karthik Pytai
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
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.
🎓 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.