Claude Architecture Foundations: Designing AI-Powered Solutions

As organizations rapidly adopt large language models, knowing how to architect scalable, secure, and efficient AI applications is becoming a highly valued technical skill. This structured, text-based course guides you through the core architectural patterns of Claude, helping you transition from basic prompting to designing robust, production-ready AI integrations. What you'll learn: - Understand the core capabilities, model families, and foundational parameters of Claude - Master advanced prompt engineering techniques, including system prompts, XML tags, and response pre-filling - Design Retrieval-Augmented Generation (RAG) systems to connect Claude with external knowledge bases - Implement secure API integrations while managing context windows and token usage efficiently - Configure tool use and function calling to allow Claude to interact with external APIs and databases - Apply best practices for latency optimization, cost control, and reliable error handling You will start with essential terminology and foundational AI concepts before moving on to practical integration patterns. Through structured written explanations, detailed code snippets, and architectural scenarios, you will learn how to design reliable systems that leverage Claude's unique strengths. This course is designed for software developers, system architects, and technical beginners eager to build applications with Claude. No prior experience with AI APIs or advanced machine learning is required. Start building smarter, more resilient AI-driven applications today.