AWS Cloud AI: Analyze, Build, and Deploy Intelligent Solutions

Artificial intelligence is transforming how we build software, and the cloud provides the infrastructure to power these applications. Understanding how to deploy AI models on AWS is a highly sought-after skill for modern developers and tech professionals. This text-only course guides you from foundational AI concepts to deploying production-ready models on AWS. You will understand how to select, configure, and integrate managed AI services, as well as how to train and deploy custom models using modern cloud workflows. What you'll learn: 1. Understand core AI concepts, machine learning paradigms, and modern foundation models. 2. Analyze and implement pre-trained AWS AI services including Comprehend, Rekognition, Lex, and Polly. 3. Configure custom model training and deployment workflows using SageMaker. 4. Apply modern generative AI patterns using foundation models and prompt engineering basics. 5. Evaluate cloud-based AI architectures for performance, scalability, and security. 6. Practice deploying end-to-end AI pipelines using structured written exercises and code configurations. The curriculum begins with essential machine learning terminology before guiding you through hands-on cloud configurations. You will learn how to orchestrate managed services and custom workflows to solve real-world problems. This course is designed for beginners, requiring no prior background in machine learning or advanced cloud engineering. Start building your cloud AI toolkit today.