Application Development with the Claude API

Modern software development increasingly requires integrating intelligent language models to solve complex problems and automate workflows. This course provides a clear path for developers to transition from basic API calls to building production-ready systems using the Claude API. You will learn how to structure prompts for reliability, connect models to external tools, and implement advanced patterns like retrieval-augmented generation (RAG) and autonomous agents. Through this written curriculum, you will gain the skills to transform static code into dynamic, AI-powered solutions. We cover everything from initial authentication to the deployment of complex agentic workflows that can reason and act independently. What you'll learn: - Understand the fundamental architecture and authentication protocols of the Claude API - Apply advanced prompt engineering techniques to ensure consistent and accurate model responses - Implement tool use and function calling to allow models to interact with external data and services - Build retrieval-augmented generation (RAG) systems to provide models with context-specific information - Design agentic workflows that enable models to perform multi-step tasks autonomously - Practice evaluating model performance and optimizing outputs for production environments The curriculum begins with essential terminology and API setup before moving into the practical implementation of chat interfaces, data retrieval systems, and automated agents. This course is designed for software developers and tech enthusiasts new to AI integration, requiring no prior experience with large language models. Start building intelligent applications with the Claude API today.