Design and Implement DevOps Automation CI/CD Pipelines

By the end of this course, learners will be able to design DevOps architecture, configure CI/CD pipelines, automate builds and deployments, and validate a fully automated development environment using industry-standard tools. This hands-on DevOps case study course guides learners through the complete automation of a development environment, from initial project planning to final deployment. Learners will gain practical experience with cloud infrastructure using AWS EC2, source code management with GitHub, continuous integration using Jenkins, build automation with Maven, application deployment on Apache Tomcat, and configuration management with Ansible. The course emphasizes real-world DevOps workflows rather than isolated tool usage. Each module builds progressively, helping learners understand not just how to configure tools, but why each step is essential in a modern CI/CD pipeline. By following an end-to-end case study, learners develop the ability to troubleshoot, optimize, and automate deployments with confidence. What makes this course unique is its project-driven approach, clear architectural focus, and practical automation mindset—making it ideal for aspiring DevOps engineers, system administrators, and developers looking to transition into DevOps roles with job-ready skills.

Learners will understand, implement, and evaluate a real-world serverless automation workflow using AWS Lambda, API Gateway, and Amazon S3. By the end of this course, learners will be able to design API-driven backend solutions, implement GET and PUT operations using Python, and automate data processing in a scalable cloud environment. This course benefits learners by providing hands-on exposure to a practical DevOps case study rather than isolated service tutorials. Learners gain clarity on how AWS services interact in real production-like scenarios, strengthening their ability to build, troubleshoot, and optimize serverless architectures. The step-by-step progression—from project foundations to end-to-end automation—ensures learners develop both conceptual understanding and applied skills. What makes this course unique is its case-study-driven approach, focusing on real automation challenges commonly encountered in DevOps and cloud roles. Instead of abstract examples, learners work through a complete serverless workflow that mirrors industry use cases, making the course highly relevant for aspiring DevOps engineers, cloud practitioners, and backend developers seeking job-ready AWS skills.

By the end of this course, learners will be able to design, implement, and evaluate a complete DevOps CI/CD pipeline using industry-standard tools and real-world practices. They will gain the ability to provision development environments, manage source code with Git-based workflows, containerize applications, configure continuous integration, automate deployments, and monitor application performance within a production-like setup. This hands-on, case study–driven course enables learners to move beyond isolated tool usage and understand how DevOps components work together across the full CI/CD lifecycle. Participants will build practical skills in Docker, Jenkins, configuration automation, web server deployment, and monitoring, while applying declarative pipeline principles to create maintainable and scalable automation workflows. What makes this course unique is its end-to-end, project-centric approach. Instead of focusing on individual tools in isolation, learners follow a cohesive DevOps implementation from initial setup through deployment and observability. This practical orientation prepares learners for real DevOps roles by simulating professional workflows, challenges, and decision-making processes commonly encountered in modern software delivery environments.