Online or in-house trainings within Europe
All workshops in English or German
Full days or half days
Content and schedule adapted to your needs

Build scalable AI applications using the Model Context Protocol to connect language models with external tools and data sources.

This is why you should participate in the workshop (for developers)

• Avoid weeks of experimenting with different integration approaches to find out what works best for connecting AI models with your systems
• To learn on your own is not for everyone, instead join an interactive session with an expert trainer and a group of participants
• Boost your career and stay up-to-date with the latest AI integration technologies that enable powerful applications

This is why you should participate in the workshop (for decision makers)

• Thinking about building AI-powered applications for your business? Evaluate the Model Context Protocol in short time and find out what works best for your integration goals
• Build robust AI applications from day 1 without weeks of architectural experimentation and avoid common integration pitfalls
• Educate your team and your company with the latest technologies in order to stay competitive

Schedule

1 full day or 2 half days

Description

In this course, you’ll explore how to build production-ready AI applications using the Model Context Protocol (MCP), a standardized way to connect language models with external tools, databases, and APIs. We’ll delve into the architecture of MCP servers and clients, understanding how they enable seamless communication between AI models and your existing infrastructure. Rather than treating AI integration as a black box, you’ll learn to design and implement robust, scalable solutions that can grow with your business needs.

We will have a hands-on look at building both MCP servers that expose your data and functionality to AI models, and MCP clients that consume these services. You’ll learn how to implement authentication, handle errors gracefully, and design APIs that work efficiently with language models. We’ll explore real-world examples including database connections, file system access, web APIs, and custom business logic integration.

You will also learn about best practices for deploying MCP-based applications in production environments. We will implement a complete AI application from scratch using MCP, covering security considerations, performance optimization, and monitoring. Testing and validation strategies are crucial for AI applications, so we will study existing approaches and implement comprehensive testing frameworks that ensure your MCP integrations work reliably across different scenarios and model providers.

Contact me for a quote

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