Build Your First Agentic AI App with MCP

Lightning Lessons

Practical skills & tools to accelerate your career

Building AI-Native Products

Build Your First Agentic AI App with MCP

Hosted by Rafael Pierre, MSc.

788 students

What you'll learn

Why MCP matters now

Learn the business case and technical advantages of MCP for modern AI apps

Map MCP architecture

Connect the components of MCP to real-world applications you can build

Build live, in real-time

Create your first working MCP-powered AI application step by step

Why this topic matters

Picture trying to have a conversation in a foreign country without a translator (or a phone 😃). You’d struggle to convey your thoughts and understand others. MCP serves as a language translator for AI Agents, enabling them to understand their surroundings and interact with users and data. In this live lesson we’ll break it down together, helping you get up to speed on building AI App with MCP.

You'll learn from

Rafael Pierre, MSc.

Founder & Principal Gen AI Engineer @ weet.ai, ex-Hugging Face, Databricks

With 17 years of experience in the tech industry, I’ve had the privilege of training and empowering over 100 companies, ranging from startups to Fortune 500, to build and deploy AI and Gen AI solutions at scale.

Having worked with leading companies in the AI space like Hugging Face and Databricks, I decided to start my own company, weet.ai. Through my company, I advise enterprises on how to leverage AI and Gen AI effectively, helping them unlock their full potential.

Previously at