Build Your First Agentic AI App with MCP
Hosted by Rafael Pierre, MSc.
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
Go deeper with a course
Mastering AI Agents and MCP: Build Enterprise Agentic Apps
Rafael Pierre
ML Engineer with 17+ years experience - ex-Hugging Face, Databricks