Decoding DevOps 2025 – From Basics to Advanced Projects with AI | Course Overview & Key Highlights
Course introduction
Decoding DevOps – From Basics to Advanced Projects with AI, created by Imran Teli, is a full-stack, project-driven DevOps course designed for learners who want to master DevOps from scratch to production-grade implementations.
Updated for December 2025, this course blends core DevOps tools with AI-powered workflows, covering cloud platforms (AWS & GCP), CI/CD pipelines, containers, Kubernetes, Infrastructure as Code, monitoring, and GitOps. It emphasizes real-world DevOps projects, making it ideal for both beginners and professionals aiming for DevOps, Cloud, or SRE roles.
Course details
- Instructor: Imran Teli
- Last updated: December 2025
- Language: English
- Duration: ~64 hours (64h 1m total)
- Rating: ★4.6 / 5
- Learners: 256,172+
- Price (typical sale): ~US$9–15 (varies by Udemy promotions)
- Access: Lifetime (mobile + TV)
- Certificate: Udemy Certificate of Completion included
Key highlights
- Learn DevOps from absolute scratch
- Covers Linux, Networking, Cloud, CI/CD, Containers & GitOps
- Strong focus on real-world DevOps projects
- AWS services + DevOps tooling in one learning path
- AI-powered DevOps using GitHub Copilot, Amazon Q & AI-assisted Helm
- Monitoring & observability with Prometheus, Grafana & Loki
- Production-grade Docker & Kubernetes deployments
- Ideal for DevOps Engineer, Cloud Engineer & SRE aspirants
What you will learn
DevOps & Linux Fundamentals
- DevOps concepts, CI/CD principles & workflows
- Linux server management and networking basics
- YAML, JSON, and Bash scripting with AI assistance
Cloud Platforms (AWS & GCP)
- AWS IAM, EC2, S3, RDS, EBS, ELB & VPC
- Auto Scaling, CloudWatch & Route 53
- Serverless basics with AWS Lambda
- Cloud automation using Amazon Q
CI/CD & Automation
- Git, GitHub Actions & GitLab CI/CD
- Jenkins pipelines with Maven integration
- Artifact management with Nexus
- Code quality & security with SonarQube
- Notifications & collaboration with Slack
Infrastructure as Code & Configuration
- Terraform for VPCs, modules & remote backends
- Ansible for configuration management
- Reusable, scalable infrastructure patterns
Containers, Kubernetes & GitOps
- Docker fundamentals & production usage
- Kubernetes clusters, Helm & Lens
- GitOps workflows using Git as source of truth
- End-to-end CI/CD pipeline with GitOps
Monitoring & Observability
- Prometheus for metrics
- Grafana dashboards & visualization
- Loki & Alertmanager for logs and alerts
- Production-ready observability stacks
Frequently asked questions (FAQ)
Q — Is this course beginner-friendly?
A — Yes. It starts from Linux and DevOps basics and gradually moves to advanced topics.
Q — Does the course include real projects?
A — Yes. You’ll work on end-to-end DevOps projects, including multi-stage application deployments.
Q — Are AI tools actually used?
A — Yes. The course integrates GitHub Copilot, Amazon Q, and AI-powered Helm workflows.
Q — Will I learn AWS DevOps services?
A — Yes. AWS CodeCommit, CodeBuild, CodePipeline, Beanstalk, and Lambda are covered.
Q — Is a certificate included?
A — Yes. You receive a Udemy Certificate of Completion.
Why this course is worth it
This course stands out by combining traditional DevOps tooling with modern AI-assisted workflows. Instead of just learning tools, you build production-ready pipelines, understand cloud-native DevOps, and gain exposure to observability and GitOps, which are highly in demand in 2025.
Final verdict
If you want a single, structured DevOps course that starts from zero and takes you all the way to advanced, AI-powered DevOps projects, this course is an excellent choice. It’s practical, modern, and aligned with real industry workflows.
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