Intelligent AI agents with Semantic Kernel and .NET - compact, hands-on, future-proof.

In the “AI Agent Fundamentals with Semantic Kernel” workshop, you will receive a solid introduction to developing modern AI agents with Microsoft Semantic Kernel and .NET C# in just one day. You will learn how to orchestrate large language models (LLMs) within the Microsoft technology stack and discover how to create innovative solutions for your organization.

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Highlights

Hands-on exercises: Hands-on session with Azure OpenAI and Semantic Kernel.
Individual roadmap: Strategies for implementing your AI agent projects.
Future-proof: Current trends and technologies in the field of AI agents.
Experienced trainers: Experts with extensive experience in developing AI agents.

Unser gemeinsames Ziel

By the end of the workshop, your team will have a solid understanding of developing AI agents with Semantic Kernel in the .NET environment. You will have built a first prototype together and know how to kick off pilot projects in your organization. You will also receive workshop materials and code examples, templates for quick development of your own agents, and individualized recommendations and a roadmap for your next steps.

Workshop Contents

Introduction to Agentic AI

Key concepts, paradigms, and application scenarios in an enterprise context.

Prompt Engineering & Automation

Practical introduction to AI-driven processes and automation.

Semantic Kernel Framework

Overview of architecture, core functions, and skill model.

Hands-on with .NET

Building a functional AI agent with .NET C# and Azure OpenAI.

Retrieval-Augmented Generation (RAG)

Integrating vector databases (e.g., Qdrant) for advanced agent capabilities.

Prompt Chaining & Skills

Developing and orchestrating semantic and native functions for dynamic agent behavior.

Best Practices & Strategies

From idea to prototype - how to successfully launch your own agent projects.

Next Steps

Recommendations and an individualized roadmap for further developing your AI capabilities.