Semantic Kernel in C#: Building AI Agents and Planners

Integrating artificial intelligence into standard C# applications requires robust frameworks that can connect language models with external functions and automated decision-making. This text-based guide teaches you the core architecture of Semantic Kernel, showing you step by step how to build responsive AI-driven workflows. You will gain a clear understanding of how to configure the kernel, structure native and semantic plugins, and implement planners to solve complex multi-step tasks dynamically. What you'll learn: - Understand core Semantic Kernel terminology, configuration patterns, and pipeline architecture - Create semantic functions using prompt templates and structured parameters - Build native C# plugins to integrate external APIs and local logic into AI workflows - Implement intelligent planners to orchestrate automated goal-oriented execution paths - Apply basic retrieval-augmented generation (RAG) and vector memory concepts within C# - Practice handling state, memory management, and error handling in AI orchestrations The course begins with foundational concepts and essential vocabulary before guiding you through plugin design, planner configuration, and real-world orchestration scenarios. Each topic includes clear written explanations and annotated code snippets. This course is designed for developers familiar with basic C# syntax who want to start building AI-powered applications without prior machine learning expertise. Start reading today to bring intelligent planning and plugin capabilities to your C# projects.