DevOps + AWS + AI: Complete Job-Ready DevOps Engineer Course

Become a Job-Ready DevOps Engineer with DevOps + AWS + AI!

This comprehensive course is designed for beginners, IT professionals, system administrators, developers, and anyone looking to build a career in modern DevOps.

You will learn DevOps from fundamentals to advanced concepts, with a strong focus on AWS Cloud, automation, CI/CD, containers, infrastructure as code, monitoring, and AI-powered DevOps.

🚀 What You Will Learn

🔹 Linux for DevOps

Linux fundamentals

File and directory management

Users, groups and permissions

Processes and system monitoring

Networking commands

Shell scripting

Troubleshooting

🔹 Git & GitHub

Git fundamentals

Branching and merging

Pull requests

Git workflows

Repository management

🔹 CI/CD

Jenkins

Build automation

Testing automation

Continuous Integration

Continuous Deployment

Pipeline creation

🔹 Docker

Docker fundamentals

Images and containers

Dockerfile

Docker Compose

Container networking

Containerized applications

🔹 Kubernetes

Kubernetes architecture

Pods, Deployments and Services

ConfigMaps and Secrets

Scaling applications

Kubernetes troubleshooting

Production concepts

🔹 AWS Cloud

EC2

S3

IAM

VPC

Load Balancer

Auto Scaling

CloudWatch

AWS DevOps architecture

🔹 Terraform

Infrastructure as Code

Terraform configuration

Providers and resources

Variables and outputs

State management

AWS infrastructure automation

🔹 Monitoring

Prometheus

Grafana

Logs and metrics

Application monitoring

Infrastructure monitoring

Alerts and dashboards

🔹 AI for DevOps

Using AI for DevOps automation

AI-assisted troubleshooting

Log analysis with AI

Generating scripts and configurations

AI-assisted CI/CD

DevOps productivity with AI

Practical AI use cases for DevOps engineers

🏗️ Real-World Projects

You will work on practical projects covering:

Developer → Git → Jenkins → Docker → Kubernetes → AWS → Terraform → Monitoring → AI-assisted Operations

The objective is to understand how DevOps tools work together in a real production-style environment, rather than learning each tool in isolation.

🎯 Who Should Join?

Freshers looking to enter DevOps

Linux/System Administrators

Developers

Application Support Engineers

Production Support Engineers

Cloud Engineers

IT professionals looking to switch careers

Anyone interested in AWS + DevOps + AI

📜 Professional Certificate

After successfully completing the course, students can receive a professional DevOps certificate through the BIRD website, with an autogenerated certificate and verification mechanism.

💼 Career Opportunities

This course can help you prepare for roles such as:

DevOps Engineer

AWS/Cloud Engineer

Site Reliability Engineer (SRE)

Cloud Support Engineer

Build & Release Engineer

Automation Engineer

Production/Application Support Engineer

Learn DevOps. Master AWS. Use AI. Build real projects. Become job-ready.

BIRD — Blackhawk Institute of Research & Development