Build structured, intelligent AI applications in Python using Semantic Kernel. Learn how to use semantic functions, plugins, memory, and function calling to create powerful LLM-driven solutions.
Using AI models through APIs is just the start. Building structured, extensible, and intelligent applications requires more. In this course, Python Development with Semantic Kernel, you'll explore how to wrap LLMs with reusable skills, memory, and orchestrators. First, you'll learn the architecture and fundamentals of Semantic Kernel. Next, you'll discover how to create a plugin-driven assistant. Finally, you'll unlock advanced capabilities like function calling, context management, and vector memory integration. By the end of this course, you'll have the knowledge needed to build modular, context-aware, intelligent applications using LLMs.
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