AI Semantic Kernel and Copilot

About this course

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:

JavaPythonNode.jsPHP.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 KernelTech 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

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