Are you a developer, ML engineer, or solutions architect looking to learn how generative AI applications interact with a diverse set of tools and APIs? Do you want to build more flexible, scalable, and future-proof Gen AI solutions?

Join us for an intensive hands-on workshop focused on the Model Context Protocol (MCP), a standardized way to interface with your generative AI application with MCP servers. As the Gen AI landscape rapidly evolves with new models and APIs emerging constantly, MCP offers a unified approach to simplify integration and enhance interoperability.

In this hands-on workshop, you'll gain practical experience in converting existing application APIs to MCP, setting up your own MCP server, and seamlessly integrating your Gen AI applications. We'll explore how MCP can abstract the complexities of individual application interfaces, allowing your applications to communicate with different tools through a consistent protocol.

Who is this for?

This workshop is ideal for:

• Software Developers and Engineers building or maintaining applications that leverage Gen AI models.
• Machine Learning Engineers responsible for deploying and serving various GenAI models.
• System Architects designing scalable and maintainable Gen AI infrastructure.
• DevOps Professionals managing Gen AI services and seeking standardized integration patterns.
• Technical Leaders exploring strategies to decouple applications from specific model implementations.
• Innovators looking to easily experiment with and switch between different Gen AI models.

During this hands-on workshop, you'll learn how to:

Leverage the Model Context Protocol to build robust and adaptable Gen AI application ecosystems. You'll master the techniques to standardize model communication, simplifying development and future upgrades.

Key Highlights:

• Understand the fundamentals of the Model Context Protocol and its advantages in a multi-model Gen AI world.
• MCP Server Deployment: Step-by-step hands-on workshop on hosting and configuring your own MCP server.
• Application Integration: Practical exercises on connecting and interacting with your Gen AI applications through an MCP server.
• Best practices for designing and implementing MCP-based Gen AI integrations for scalability and maintainability.
• Interactive Q&A and troubleshooting common challenges in MCP implementation.

This workshop is specifically designed for technical teams aiming to standardize their Gen AI integrations, reduce complexity, and build more agile systems. You'll gain hands-on experience with MCP implementation and learn practical strategies for managing diverse Gen AI model interactions efficiently.

Prerequisites:

• Laptop with the ability to run common development tools (details will be provided).
• Basic understanding of generative AI concepts and how APIs work.
• Familiarity with a programming language commonly used in AI/web development (e.g., Python).
• Basic knowledge of web services (REST APIs, HTTP).

By registering, you agree to the AWS Event Terms & Conditions and AWS Code of Conduct.