AI Semantic Kernel and Copilot

Transparency Note: Some elements of this course were created or enhanced using artificial intelligence (AI) tools, in accordance with Udemy’s guidelines.

This comprehensive training program takes you on a practical journey into the world of AI integration for real-world applications. You will learn how to move beyond simple chatbot demos and build production-ready systems that intelligently combine natural language understanding with your own business logic.

Starting from the basics of environment setup, we’ll guide you through creating your first AI-powered assistant, integrating live room data, and mastering orchestration using Semantic Kernel. The course emphasizes hands-on learning, giving you the tools to transform traditional applications into smart, AI-driven solutions.

Participants will gain experience implementing AI assistants across multiple programming environments, including:

• Java

• Python

• Node.js

• PHP

• .NET (C#)

By the end of the course, you will not only understand how to connect AI models like OpenAI’s GPT with your applications but also how to orchestrate them securely, manage real-time data, and deliver reliable, intelligent user experiences.

Who is this course for?

• Developers who want to integrate AI into their existing projects

• Software engineers aiming to master orchestration with Semantic Kernel

• Tech professionals looking to stay ahead in AI-driven development

Key Outcomes:

• Learn to set up a development environment with .NET 9, VS Code, and API keys

• Build AI assistants that can both “talk” and “act” by calling your services

• Integrate live data into AI responses for realistic, production-ready use cases

• Master cross-language implementations in Java, Python, Node.js, PHP, and .NET (C#)

This course is your gateway to becoming not just an AI user, but an AI-powered developer capable of building the next generation of intelligent applications.