Build Agentic AI Apps with MCP

Meet Your Instructor

Christoffer Noring

Senior Advocate at Microsoft

Christoffer Noring works as a Senior Advocate at Microsoft and focuses on application development and AI. He's a Google Developer Expert and a public speaker on 100+ presentations across the world. Additionally, he's a tutor at the University of Oxford on cloud patterns and AI. Chris is also a renowned author of several technology books.

What is the workshop about?

After 3 successful cohorts, 300+ users and over 400+ Questions responded to LIVE with Christoffer, we are back with the most hands-on workshop that let's you put your learning to practice by building an Agentic AI App with MCP.

AI applications are becoming more capable, but they only become useful when they can securely access the right context, tools, and data.
The Model Context Protocol (MCP) is the standard for connecting AI models to real systems in a safe, structured, and predictable way.

In this hands-on workshop, you’ll

• Learn how to build an MCP server from scratch, connect it to a client, and integrate it into a real web application.
• Implement features such as product search, FAQ handling, and back-office sampling and elicitation using an e-commerce scenario.
• Build an Agentic UI with MCP-UI, giving your AI agent a dynamic, interactive interface.

If you want to understand how modern AI assistants connect to your app, access business context, and trigger real actions, this workshop will give you a complete, practical foundation.

What Will I Get?

✅ Certificate of Completion to validate your MCP expertise

🎥 Full workshop recording with 120-day access

🔄 Q&A session to get your queries addressed

⚡ Hands-on practice consuming and building MCP servers

🛡️ Security and governance playbook for safe MCP adoption

🧰 Deployment guides with Azure-based real-world workflows

👥 Networking with peers and experts

What you'll be able to do by the end

Understand When & Why to Use MCP

Learn how MCP lets AI models access business systems safely, consistently, and without exposing internal logic or infrastructure.

Build Your Own MCP Server in Python

Create a production-ready server that exposes capabilities like search, FAQs, and product workflows.

Connect an MCP Client & Enable Secure Communication

Learn how clients call MCP tools, send requests, receive structured responses, and manage secure interactions.

Build an Agentic UI Using MCP-UI

Design interactive, dynamic UIs that allow users (and AI agents) to browse data, complete tasks, and trigger workflows through MCP.

Integrate MCP into a JavaScript Frontend

Connect your Python MCP server to a JavaScript/TypeScript web application using clean architecture patterns.

Add Authentication & Resource Sampling for Scalability

Implement safeguards and production-readiness techniques that matter for real deployments.

Leave With a Working AI-Integrated Web App

Walk away with a functioning MCP-powered demo app you can extend into your own organization.

Who Should Attend?

This workshop is designed for anyone ready to go beyond surface-level AI integrations and truly master MCP:

Developers / Software Engineers

• Building AI-driven web applications
• Integrating LLMs with business systems
• Learning modern AI-to-app communication patterns

AI Builders & Technical Product Teams

• Designing context-aware AI features
• Working with agentic UIs and tool integrations

Engineering Leaders & Architects

• Evaluating MCP for production use cases
• Understanding how MCP enables scalable, secure AI adoption

Pre-requisites for Coding Along

• Working knowledge of Python and JavaScript/TypeScript
• Familiarity with Node.js, npm/pnpm
• Installed tools:
  Python 3.10+
  Node.js (LTS)
  GitHub account for sample repos
• Basic understanding of REST APIs and web development

Reserve your spot now and transform how you build, secure, and deploy AI services with the Model Context Protocol!

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