Decoding DevOps – From Basics to Advanced Projects with AI
Master DevOps with AI, AWS, GCP, Linux, Jenkins, Gitlab, GithubActions, 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
Who this course is for
- Anybody who wants to Learn DevOps
Download Links
21.55 GB Total Size