Overview
Understand the Agentic Theory behind MCPs and what Problems MCPs Solve, Learn how to find and use MCPs for Virtually Every Use Case, Master the architecture, concepts, and features of Model Context Protocol for production applications, Implement and integrate a functional MCP server with real-time data providing capabilities, Learn about what's coming up in the MCP world
AI Enthusiasts who want to get hands-on with MCPs, Software developers looking to enhance applications with AI capabilities, AI Engineers
Basic programming knowledge required. Familiarity with Python is required. No prior AI or MCP experience needed - we'll teach you everything from the ground up., Access to a PC/Mac where you can install Software like Claude, Cursor and Visual Studio Code
Stop watching instructors read out documentation aloud. Start building real-world projects with confidence.
Your one-time enrollment grants lifetime access to a library of resources. Join developers who've transformed AI theory into practice. Enroll now!
This course delivers what many others don't - genuine hands-on experience developing and integrating MCPs for AI applications. You'll walk away with both the conceptual understanding and practical tools to tackle real-world Model Context Protocol challenges.
Why Model Context Protocol matters: MCPs solve a critical problem in the multi-LLM world by creating standardized ways for AI models to interact with external systems. This bootcamp takes you from fundamental concepts and third-party MCP integration to an implementation of a real-world project at every step.
Course Structure: This course follows a hands-on, practical approach. We start with the theoretical foundations to understand MCPs in context, then quickly move to building real working applications:
THEORETICAL SECTION:
How LLM interactions and tool calling work
The problem MCPs solve in a multi-LLM world
Core MCP concepts and architecture
MCP features: Tools, Prompts, and more
Where MCPs fit in the AI ecosystem
PRACTICAL SECTION:
Complete development environment setup for Mac & Windows
Working with MCP hubs and global providers
Integrating MCPs with Claude and Cursor
Step-by-step creation of a Crypto Price MCP
Testing and debugging MCPs with MCP Inspector
OUTLOOK
A sneek peak into Anthropic's MCP Roadmap about the future of the project
Join developers and AI enthusiasts already mastering MCP and transform your AI development skills today!
Zoltan C. Toth
I help global companies build web-scale data analytics and AI systems. Backed by 20+ years of experience in developing data-intensive applications, I spend most of my time helping companies kick-off and mature their data analytics and AI infrastructure, and give Cloud, Apache Spark, Databricks and MLOps courses regularly.
Earlier I helped Fortune 500 companies as a Principal Instructor and Consultant at Databricks. I built Prezi's (and SF startup's) big data analytics infrastructure, later led Prezi’s data engineering team, scaling it to serve 60 million users backed by a data volume over a petabyte. I also worked on kicking off the Spark integration component in RapidMiner, a global leader in predictive analytics.
Besides working with data analytics architectures, I enjoy teaching at Central European University, one of the best independent universities in Europe, and delivering courses and professional services engagements on behalf of Databricks, the company created by the original authors of Spark.