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Udemy - AI Agents with Semantic Kernel and Gemini

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Added 6 months ago by freecoursewb in Other
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Udemy - AI Agents with Semantic Kernel and Gemini (Size: 346.7 MB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Developing Custom AI Plugins
  1. Setting Up Python Environment Installing Dependencies Obtaining Your Gemini AP.mp4 84.8 MB
  2 - Introduction & Environment Setup
  2. Building a Colored Logger and the Kernel Core.mp4 51.7 MB
  3 - Professional Logging & Kernel Setup
  3. Creating the Lights Plugin and Kernel Functions.mp4 96.3 MB
  4 - Implementing the Chat Logic
  4. Building the Main Chat Loop and Function Calling.mp4 78.4 MB
  5 - Execution and Live Testing
  5. Final Demo Interacting with your AI Smart Home Agent.mp4 35.6 MB

Description


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.

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