Building AI– powered Applications with Kotlin
Building AI– powered Applications with Kotlin
Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With Building AI– powered Applications with Kotlin, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Released 9/2026
By Kevin Jones
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 3h 9m 47s | Size: 638.8 MB
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.
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.
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