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Master DevOps with AI, AWS, Linux, Scripts, Jenkins, Gitlab, GitActions, Docker, Kubernetes, Terraform, Ansible & GitOps What you'll learn - Learn DevOps from total scratch - Linux and Server Management (Gemini CLI) - Networking fundamentals & Vagrant setup - YAML, JSON, and Bash scripting with GitHub Copilot (AI) - AWS Cloud (IAM, EC2, S3, RDS, EBS, ELB, Systems Manager, Lambda, VPC, Amazon Q, CloudWatch, Auto Scaling, Route 53) - Build & Test Automation using Git, Maven, Jenkins, GitHub Actions, and GitLab CI/CD - CI/CD Pipelines and DevOps Projects with Nexus, SonarQube & Slack integration - Python scripting Basics and for Automation and AWS tasks with Amazon Q (AI code assistant) - Infrastructure as Code using Terraform (VPC, modules, backends) - Configuration Management using Ansible - Monitoring & Observability with Prometheus, Grafana, Loki, Alert manager & Alloy - Docker and Kubernetes (production-grade setup, Helm with AI, Lens) - AWS DevOps Services: CodeCommit, CodeBuild, CodePipeline, Beanstalk, Lambda - GitOps Project — end-to-end CI/CD workflow with Git as the single source of truth Requirements Basic Computer Knowledge Description This course is designed for anyone who wants to start or advance their DevOps career through hands-on, project-based learning. You’ll begin with Linux, networking, and scripting fundamentals, then progress through key DevOps tools — Git, Jenkins, GitHub Actions, GitLab, Terraform, Ansible, Docker, Kubernetes, and AWS Cloud. Each step builds on the last with real projects, like setting up the Vprofile application across multiple DevOps stages — from on-premise to AWS to Kubernetes. The course also introduces AI-powered tools such as GitHub Copilot, Amazon Q, and AI-integrated Helm, helping you automate faster, code smarter, and build intelligent DevOps pipelines.