DevOps Uncomplicated: Hands-On Automation

Master DevOps: Hands-On Cloud Automation with AWS & Azure

Learn DevOps with a Practical, Real-World Approach

This comprehensive course takes you from DevOps beginner to proficient, focusing on practical skills and real-world applications. You'll build a strong foundation in cloud automation using industry-leading tools like Terraform, Ansible, and GitHub Actions. Get ready to automate infrastructure, streamline deployments, and monitor your systems effectively.

What You'll Learn – Hands-On, No Fluff

• Cloud Infrastructure Automation: Build and manage Virtual Machines (VMs), networks, and storage on both AWS and Azure (Labs 10–15, 38–44).
• Scripting for Bulk VM Creation: Write scripts to create multiple VMs efficiently (Labs 40, 44) and manipulate JSON with jq (Labs 41, 43).
• Professional Terraform: Provision Kubernetes clusters (Labs 52–55) and VMs using variables and modules (Labs 48–51).
• Applied Ansible: Deploy containers and manage user permissions (Labs 60–61).
• Complete CI/CD: Build a robust GitHub Actions pipeline for testing, deployment, and automated infrastructure destruction (Labs 64–80).
• Kubernetes on Azure: Master Horizontal Pod Autoscaling (HPA), Ingress, KEDA, and Probes (Labs 91–93).
• Elite Monitoring: Create insightful Datadog dashboards for Kubernetes and EC2 with visual alerts (Labs 97–102).
• AI for DevOps (New): Explore the use of ChatGPT, Claude, and Gemini in DevOps workflows (in progress).
• Vibe Coding (New): Learn coding practices tailored for DevOps workflows.
• Python for DevOps (New): Automate tasks with Python scripting.

Direct, To-The-Point Methodology

• One Practical Skill Per Lesson: Focus on mastering individual skills.
• Real-World Application: Every concept has a practical use case.
• Reusable Labs: Apply scripts directly in your work environment.
• From Zero to Pro: Start with Git/Linux fundamentals and progress to advanced DevOps projects.

What You'll Build

• Multi-Cloud Environment: Deploy a complete multi-cloud environment using CLI and Terraform (Sections 2, 6, 7).
• Automated CI/CD Pipeline: Create a pipeline for testing, deploying, and auto-destroying infrastructure (Section 9).
• Kubernetes Cluster with Autoscaling: Implement metric-based autoscaling for your Kubernetes cluster (Lab 91).
• Datadog Monitoring System: Set up a comprehensive Datadog monitoring system with visual alerts (Lab 101).

Why This Course Is Different

• Troubleshooting Focus: Develop crucial troubleshooting skills (Labs 79, 100) often overlooked in other courses.
• AZ-400 Alignment: Content aligned with the AWS Certified DevOps Engineer – Professional certification.
• Real-World Tools: Hands-on experience with Terraform, Ansible, GitHub Actions, Helm, KEDA, and Datadog.

Who This Course Is For

• DevOps Beginners: Start with Git and Linux and build your DevOps skills (Sections 1, 3, 4).
• Developers: Understand and implement CI/CD pipelines.
• Sysadmins: Migrate to cloud environments.

Frequently Asked Questions

• Do I need prior experience? No, this course is designed for all levels, starting with the basics.
• Can I apply what I learn at work? Absolutely! The labs use free accounts on AWS and Azure, allowing for immediate application.
• What makes this course unique? We avoid pointless exercises and focus on practical Terraform, Kubernetes, and Helm labs, along with multi-cloud automation.

Exclusive Guarantee

• Lifetime access to 103+ fully hands-on lessons.
• Udemy certificate of completion.
• All scripts included for immediate use.