Introduction to Semantic Kernel SDK for AI Applications

Integrating artificial intelligence into modern software requires a structured framework for managing prompts, tools, and context. This text-based course introduces you to the Semantic Kernel SDK, teaching you how to build AI-driven applications with clean code and reliable architecture. You will explore the core concepts of AI orchestration and gain practical experience connecting external models, structuring prompts, and chaining complex tasks. What you will learn: - Understand foundational AI orchestration concepts, terminology, and core architectural components - Configure and connect large language models to your application environment - Build reusable semantic functions and native code plugins to extend AI capabilities - Apply memory management and vector retrieval patterns for context-aware interactions - Implement planners and automated agent workflows to solve multi-step problems - Practice prompt engineering techniques directly within the SDK framework The course starts with core terminology and architectural foundations before guiding you through hands-on code walkthroughs and structured exercises. It is designed for beginners and developers exploring AI integration, with no prior experience in AI orchestration required. Begin reading today to start building intelligent applications.