What you'll learn

How do you add AI capabilities to a Kotlin application responsibly? In this course, Building AI-powered Applications with Kotlin, you'll gain the ability to add production-grade, LLM-powered features to Kotlin/JVM applications responsibly. First, you'll explore the architecture of an AI-powered Kotlin application — model providers, prompts, tools, memory, and retrieval — and configure a secure, coroutine-ready Kotlin project that sends typed chat requests through a clean client adapter. Next, you'll discover how to make those features reliable and responsive: designing reusable prompt templates, parsing structured JSON output with kotlinx.serialization, streaming responses with Flow, and implementing permission-aware tool calling with validated inputs and bounded execution. Finally, you'll learn how to ground answers in your own documents with retrieval-augmented generation, manage conversation memory within token budgets, and harden everything with prompt-injection defenses, fallback behavior, and a lightweight evaluation harness. When you're finished with this course, you'll have the skills and knowledge of AI application development in Kotlin needed to ship LLM-powered features — chat, structured extraction, streaming, tool use, and document Q&A — safely and reliably in real applications.