Mastering DevOps Automation – Deploy with Terraform, AWS & Docker

What you'll learn
Welcome to the advanced course on deployment automation — where you’ll learn to build scalable systems capable of handling millions of users.
In this hands-on program, you’ll master in-demand DevOps skills by creating automated workflows to deploy and manage secure, scalable infrastructure. The demand for DevOps engineers is skyrocketing because they save time, cut costs, and boost reliability through automation and continuous deployment.
You’ll deploy a Django REST API to AWS using Terraform, GitLab, Docker, and key AWS services such as ECR, RDS, ECS, ALB, EFS, VPC, S3, Route 53, IAM, and ACM. While we’ll use Django as the example, the process applies to any Docker-based web app.
By the end of the course, you’ll be able to:
Define infrastructure as code and manage environments efficiently.
Design secure, resilient architectures with zero downtime.
Automate deployments using GitLab CI/CD workflows.
Manage AWS accounts following best security and cost practices.
This is an advanced, project-based course designed for those with prior experience in Django, Docker, and AWS. You’ll need a working AWS account and a computer capable of running Docker Desktop.
The content is challenging but rewarding — blending theory with real-world practice. Ready to master automation and build deployment pipelines like a pro? Let’s get started!
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Course description
Welcome to the advanced course on deployment automation — where you’ll learn to build scalable systems capable of handling millions of users. In this hands-on program, you’ll master in-demand DevOps skills by creating automated workflows to deploy and manage secure, scalable infrastructure. The demand for DevOps engineers is skyrocketing because they save time, cut costs, and boost reliability through automation and continuous deployment. You’ll deploy a Django REST API to AWS using Terraform, GitLab, Docker, and key AWS services such as ECR, RDS, ECS, ALB, EFS, VPC, S3, Route 53, IAM, and ACM. While we’ll use Django as the example, the process applies to any Docker-based web app. By the end of the course, you’ll be able to: Define infrastructure as code and manage environments efficiently. Design secure, resilient architectures with zero downtime. Automate deployments using GitLab CI/CD workflows. Manage AWS accounts following best security and cost practices. This is an advanced, project-based course designed for those with prior experience in Django, Docker, and AWS. You’ll need a working AWS account and a computer capable of running Docker Desktop. The content is challenging but rewarding — blending theory with real-world practice. Ready to master automation and build deployment pipelines like a pro? Let’s get started!
WHAT'S INCLUDED
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