This course focuses on building real-world applications using the Claude API, moving beyond basic prompts to structured, reliable, and scalable API-driven systems.
Designed for developers and technical learners, the course teaches how to interact with Claude programmatically, structure API requests, manage multi-turn conversations, and generate consistent, machine-readable outputs using JSON. You’ll learn how to design applications that maintain context, validate responses, and handle tasks reliably. Through guided lessons and hands-on demonstrations, you’ll set up Claude API requests, build chat-based and text-processing applications, and progressively add context-awareness, task-based logic, and structured outputs. The course also covers advanced techniques such as streaming responses, error handling, performance optimization, and cost control. You will explore how to maintain conversation state across multiple interactions, enforce output formats for downstream systems, design small task-based agents, and improve application reliability using retries, validation, and controlled workflows. By the end of this course, you will be able to: - Structure and send well-formed requests to the Claude API - Build multi-turn, context-aware API applications - Generate and enforce structured JSON responses - Design task-based mini agents for automated workflows - Implement streaming responses and real-time updates - Handle API errors, rate limits, and retries effectively - Optimize API usage for performance and cost This course is ideal for software developers, backend engineers, and AI practitioners who want to build production-ready applications using Claude’s API. A basic understanding of Python and familiarity with APIs will be helpful, but no prior experience with advanced AI systems is required. Join us to learn how to design reliable, efficient, and scalable applications powered by the Claude API.
