Building DevOps Pipelines with Python and AWS

In today's fast-paced tech environment, the ability to automate software delivery is a critical skill for any developer or system administrator. Transitioning from manual, error-prone deployments to automated systems is essential for scaling modern applications efficiently. This course provides a clear path to understanding how code moves from a local machine to a live cloud environment. You will transition from manual deployment processes to building automated pipelines that test, containerize, and deploy Python web applications to the cloud. By reading through detailed explanations and studying practical code examples, you will gain the confidence to manage the entire application lifecycle. What you'll learn: - Understand foundational DevOps concepts and the core phases of the software development lifecycle. - Manage version control and collaborative workflows using Git and GitHub. - Develop and test Python web applications using Flask and automated testing with Pytest. - Containerize applications with Docker to ensure consistent environments across development and production. - Orchestrate scalable deployments using Kubernetes clusters for high availability. - Configure automated CI/CD pipelines to streamline continuous code integration and delivery. - Apply Infrastructure as Code principles and basic observability to manage and monitor cloud resources. The course begins with essential terminology and foundational definitions before moving into the practical mechanics of setting up a functional deployment pipeline. You will explore how different tools integrate to create a seamless flow from code commit to production. This course is designed for beginners who want to understand the intersection of development and operations. No prior experience with cloud platforms or automation tools is required to start. Start building your automated delivery pipeline today.