Orchestrating AI Applications with Bedrock and AWS

Generative AI models are powerful, but building real-world applications requires connecting them to external APIs, databases, and workflows. This text-based course guides you through orchestrating Bedrock with key AWS services to build reliable, production-ready AI systems.\n\nYou will transition from running simple AI prompts to designing fully orchestrated, event-driven architectures. By reading through structured explanations and analyzing clear code snippets, you will understand how to manage asynchronous tasks, handle API integrations, and secure your AI workflows.\n\nWhat you'll learn:\n- Understand the fundamentals of Bedrock and how it integrates with cloud infrastructure\n- Configure API Gateway to securely expose your AI models to external clients\n- Orchestrate complex, multi-step AI workflows using Step Functions\n- Manage asynchronous tasks and event-driven messaging with SQS and EventBridge\n- Apply prompt engineering principles and modern retrieval-augmented generation (RAG) patterns\n- Implement basic monitoring and logging to keep your AI applications reliable\n\nThe course begins with foundational concepts of AI orchestration and Bedrock APIs before moving into practical architectural patterns. You will progress through step-by-step written breakdowns of event-driven designs, API integrations, and secure deployment practices.\n\nThis course is designed for software developers, cloud enthusiasts, and aspiring AI engineers who are new to cloud-based AI orchestration. A basic understanding of cloud concepts is helpful, but no prior experience with Bedrock is required.\n\nStart reading today to build scalable, event-driven AI applications in the cloud.