Description
DevOps Uncomplicated: Hands-On Automation. This course is a comprehensive, hands-on training program that covers DevOps automation with industry-leading tools like Terraform, Ansible, and GitHub Actions in multi-cloud environments including AWS and Azure from beginner to advanced. The course is designed with a hands-on, hands-on approach where each lesson is equivalent to a real-world application and is free of unnecessary theory. The learning path starts with the basics of Git and Linux and progresses to complete DevOps projects. The course specifically focuses on troubleshooting, a critical skill that is often overlooked in other courses. The training content is aligned with Microsoft’s AZ-400 certification and uses proven tools like Terraform, Ansible, GitHub Actions, Helm, KEDA, and Datadog. During the course, participants will learn how to build a multi-cloud environment in AWS and Azure using CLI and Terraform, create a complete CI/CD pipeline in GitHub Actions for automated testing, deployment, and removal of infrastructure, set up an auto-scaling Kubernetes cluster based on KEDA, and build an advanced monitoring system with Datadog. The course includes 103 fully-practical lessons with ready-to-use scripts and updated modules in the areas of AI for DevOps, coding, Python, and working with containers, preparing learners for specialized roles and international exams.
What you will learn
- Infrastructure as Code (IaC):
- Infrastructure automation in AWS and Azure using Terraform (including VMs, networking, Kubernetes).
- Continuous Development and Deployment (CI/CD):
- Build professional CI/CD pipelines with GitHub Actions (including automated tests, deployments, and removals).
- Container Management and Kubernetes:
- Working with containers (Docker multistage, Docker Compose, Docker Hub).
- Manage Kubernetes clusters in Azure (AKS) with HPA, Ingress, and KEDA.
- Automatic server configuration:
- Writing Ansible Playbooks for automated server configuration.
- Cloud Monitoring and Tools:
- Monitoring Cloud environments with Datadog (metrics, logs, dashboards).
- Setting up a DevOps environment:
- Setting up complete DevOps environments (Git, Linux, IaC, CI/CD).
- Preparation for certifications:
- Prepare for certifications like AZ-400 DevOps.
- Case study:
- Conduct a case study to manage a project from idea to completion.
This course is suitable for people who:
- DevOps beginners (training starts with Git and Linux).
- Developers who want to understand and implement CI/CD.
- Sysadmins migrating to cloud environments.
- Infrastructure and support professionals looking to transition to DevOps, or anyone curious about DevOps but not sure where to start.
- Python for DevOps enthusiasts looking for practical applications.
- Java developers who want to integrate DevOps practices.
- Support analysts aiming to progress towards automation and cloud environments.
- Professionals interested in artificial intelligence applied to DevOps.
Course details
- Publisher: Udemy
- Instructor: Ieso Ferreira Dias
- Training level: Beginner to advanced
- Training duration: 9 hours and 58 minutes
- Number of lessons: 94
Course headings
Prerequisites for DevOps Uncomplicated: Hands-On Automation
- Basic IT Knowledge — Simple understanding of how servers and networks work (beginner level)
- Computer with Internet Access — Windows, Mac, or Linux (for hands-on labs)
- Free Cloud Accounts — AWS Free Tier and Azure Free Tier (we teach you how to set them up)
- Willingness to Learn — The course starts from zero with Git, Linux, and cloud concepts
- No programming experience required — You’ll learn everything you need step by step
Course images
Sample course video
Installation Guide
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Subtitles: None
Quality: 720p
Download link
Downloadly
Rapidgator link
File(s) password: www.downloadly.ir
File size
5.9 GB
