AWS DevOps and CI/CD for Generative AI Applications

Deploying generative AI applications requires more than just writing smart prompts; it demands robust, automated infrastructure to ensure reliability and scale. Understanding how to connect DevOps practices with artificial intelligence is the key to launching successful modern software. This text-based course guides you through the foundational concepts of setting up Continuous Integration and Continuous Deployment (CI/CD) pipelines specifically for generative AI workloads on AWS. You will transition from manual deployments to fully automated, monitored, and resilient cloud systems. What you'll learn: - Understand foundational DevOps principles and how they apply to generative AI systems. - Configure automated CI/CD pipelines on AWS to streamline application releases. - Implement basic Infrastructure as Code concepts to manage cloud environments consistently. - Apply modern observability and monitoring strategies to track AI model performance and application health. - Deploy containerized generative AI applications using robust cloud workflows. - Practice troubleshooting deployment errors and maintaining high-availability cloud infrastructure. The course starts with essential terminology and core cloud concepts before guiding you through step-by-step written explanations and structured configuration exercises. You will progress naturally from basic pipeline setups to advanced monitoring patterns for AI-driven features. Designed specifically for beginners, this course requires no prior DevOps or cloud engineering experience. Start building reliable, automated deployment pipelines for the next generation of AI applications today.