AWS Core Services for Generative AI Applications

Deploying generative AI applications requires a solid understanding of the cloud infrastructure that powers them. Without a firm grasp of core cloud services, scaling models and managing data pipelines can quickly become overwhelming. This text-based course guides you through the foundational AWS services necessary to support, scale, and secure modern AI applications. You will transition from understanding basic cloud concepts to designing efficient infrastructure patterns for AI workloads. What you'll learn: 1. Understand foundational cloud concepts, terminology, and core AWS global infrastructure. 2. Configure scalable compute solutions using EC2 and serverless AWS Lambda functions. 3. Manage large datasets, model weights, and application assets securely in S3 storage. 4. Explore modern serverless integration patterns specifically optimized for generative AI APIs. 5. Implement security best practices using IAM roles and monitor resources to manage cloud costs. 6. Practice architectural decision-making through written scenario-based exercises and self-assessments. We begin with essential terminology and the core mechanics of cloud computing before analyzing how these services interact to host AI models. You will read through clear explanations, conceptual breakdowns, and practical architectural patterns. This course is designed for beginners, software developers, and aspiring AI engineers looking to build a strong cloud foundation with no prior AWS experience required. Begin reading now to master the cloud infrastructure behind modern AI.