Semantic Kernel SDK: Building AI-Powered Applications

As artificial intelligence transforms software development, developers need a reliable way to integrate large language models into standard application code. Semantic Kernel provides the essential orchestration framework to seamlessly blend AI models with conventional programming. This text-only course guides you from the fundamental concepts of AI orchestration to building functional, intelligent applications. You will learn how to manage prompts, connect external APIs as native plugins, and implement modern retrieval-augmented generation patterns. What you'll learn: - Understand core Semantic Kernel concepts including kernels, planners, and connectors - Build semantic functions and manage prompt templates programmatically - Configure native plugins to bridge language models with real-world APIs and data sources - Integrate vector databases for efficient memory and context retrieval - Apply modern retrieval-augmented generation patterns within your application workflow - Design robust error handling and telemetry for your AI orchestrations The course begins with foundational terminology and kernel configuration before guiding you step-by-step through plugin development, memory management, and practical orchestration scenarios. It is designed for software developers and technology enthusiasts who want to build AI-driven applications, with no prior machine learning experience required. Start reading today to unlock the potential of intelligent software architecture.