AI Agents with Semantic Kernel & Gemini https://WebToolTip.com Published 12/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 43m | Size: 346 MB
Master Basics of Semantic Kernel: Build Python AI Agents using Google Gemini, Custom Plugins, and Function Calling.
What you'll learn
Master the basics of Microsoft Semantic Kernel by integrating Google Gemini AI into Python applications for intelligent automation.
Build and deploy custom Python Plugins that allow AI models to interact with real-world data and external hardware simulations.
Implement advanced "Function Calling" using Semantic Kernel to let Gemini automatically decide when to trigger specific code logic.
Create a professional-grade CLI environment with color-coded logging to debug and monitor AI-to-plugin interactions in real-time.
Requirements
Basic familiarity with Python programming (understanding functions and classes).
A computer with VS Code installed and a stable internet connection.
No prior experience with Semantic Kernel or LLM APIs is required; we will walk through getting your Gemini API key from scratch.