Service-Oriented Architecture (SOA) is a key paradigm for designing scalable, modular, and efficient cloud solutions. As cloud computing adoption grows, training professionals in cloud service architectures is essential. This paper presents an innovative educational approach that fully covers the learning objectives of a cloud computing course:—Introduction to Cloud Service Architecture, Storage Services, Compute Services, Database Services, and Architectural Case Studies while leveraging cloud computing such as Amazon Web Services (AWS) and Generative Artificial Intelligence (AI) to improve learning outcomes. By integrating Generative AI tools –such as ChatGPT, Gemini, Perplexity, and Copilot - students generate, validate and analyze custom cloud computing case studies, making the learning process more interactive, adaptive, and aligned with industry standards. This approach ensures that students develop both theoretical knowledge and practical expertise, enabling them to design and deploy real-world cloud architectures while acquiring the skills to become certified as AWS Solution Architects. In addition, it improves student motivation and accelerates their transition to professional cloud roles by making learning more dynamic and efficient.