MCP Bootcamp: Build, Deploy & Secure Model Context Protocol (Udemy.com)
MCP Development Hands-on: Build, Deploy, Integrate Production MCP Applications | Complete Model Context Protocol
Created by: Zoltan C. Toth (Nordquant)
Last updated May 2026
What you will learn
- Understand the Agentic Theory behind Model Context Protocol and what Problems MCP Solves
- Master the architecture, concepts, and features of Model Context Protocol for production applications
- Deploy MCP Services to Production
- Integrate MCP Services into LangGraph, LangChain and LangSmith
- Secure MCP Services using OAuth
- Learn how to find and use MCP for Virtually Every Use Case
- Implement and integrate a functional MCP server with real-time data providing capabilities
- Learn about what's coming up in the MCP world
- MCP using OpenAI's Agents Framework and Responses API
- Dockerizing MCP for Production
- Interviews with Industry Experts
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 92 / 100
Course Description
Build Production-Ready Model Context Protocol (MCP) Solutions - From Zero to Deployment
If you want to understand, integrate, implement, publish, secure and deploy Model Context Protocol (MCP) solutions to production, this course is for you.
Why start learning MCP today? Model Context Protocol is Anthropic's new standard (launched November 2024) that's quickly becoming essential for AI development. Early adopters are already building the next generation of AI applications - and you can too.
This course delivers what many others don't - genuine hands-on experience developing, integrating and deploying MCPs for AI applications. You'll walk away with both the conceptual understanding and practical tools to tackle real-world challenges.
What You'll Actually Build:
Working MCP servers that connect to Claude Desktop, Cursor and Python
Production-ready integrations with OpenAI and other LLMs
Secure, deployable Model Context Protocol solutions
Deploy MCPs using Docker, Amazon Web Services (AWS), Cloudflare or Render
Student Success Stories:
"The course structure works brilliantly, starting with essential MCP foundations and methodically building toward practical applications." - Daniel
"Zoltan does a great job at breaking down the Model Context Protocol concepts so it's easy to learn and build up your knowledge as you go." - Jose
"Although I had some exposure to AI agents before, I still learned a lot about MCPs that I can use in my daily work." - Stefan
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 to production-ready implementations at every step.
Course Structure:
This course follows a hands-on, practical approach. We start with theoretical foundations to understand MCPs in context, then quickly move to building real working applications.
THEORETICAL FOUNDATION:
How LLM interactions and tool calling work
The problem MCP solves in a multi-LLM world
Core concepts and architecture
MCP features: Tools, Prompts, and Resources
Where MCPs fit in the AI ecosystem
HANDS-ON DEVELOPMENT:
Complete development environment setup for Mac & Windows
Working with MCP hubs and global providers
Integrating with Claude and Cursor
Step-by-step creation of your own Crypto Price MCP
Working with Tools and Resources
Testing and debugging with MCP Inspector
LangChain, LangGraph and LangSmith integration
Building Python and JavaScript-based MCPs
Production deployment strategies
Securing MCPs with OAuth
Deploying to Cloudflare Workers
ADVANCED TECHNIQUES:
OpenAI Agents integration and the Responses API
Dockerizing MCPs for production deployment
Performance optimization strategies
Enterprise-grade error handling
FUTURE-READY SKILLS:
Anthropic's MCP Roadmap insights
The future of Model Context Protocol development
Preparing for upcoming features
Ready to master the newest AI protocol? Join developers and AI enthusiasts already building with MCP and transform your AI development skills today!
Instructor Details
- 4.6 Rating
723 Reviews
Zoltan C. Toth (Nordquant)
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.
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Reviews
By Ari Rojas Céspedes on 7/6/2026
Hace no mucho tomé un curso de mcp con otro instructor, finalmente era un curso de cómo "instalar" mcps en distintas herramientas, por lo que me vi en la necesidad de buscar uno que fuese más profundo y que explicase finalmente qué es un mcp, cómo funciona y cómo construir uno. Lo encontré, completamente conforme con el curso. Not so much long ago i take another mcp course, finally it was only a "how to install mcps" one, so i'd the need of find a course that explain what is a mcp, how it works and how to build one. I've found it, completely satisfied with this one, i do recommend it
By Irfan Khan on 4/1/2026
There was some assumed knowledge of JSONs and Python, which I do not have as I come from a business background, this made it challenging to follow when those references were used, It would be great to have a little more context and background around those technical references or some notes to refer to so I can follow the course moving forward.
By Rolf Riedlinger on 3/24/2026
Very good content. FYI - I use the Web version of Claude, (the linux local version for RHEL does not work) and could easily intergrate on the free plan the Zapier built in MCP server with Claude as client as well as the customized version with a token URL. Zapier actually does not give me the option for OAuth for a customized MCP . It only offers the bearer token
By Alfredo Reyes Gomez on 11/22/2025
Las explicaciones son sencillas de entender. Y el curso está estructurado en secciones y elementos naturales que tocan cada tema de manera sencilla y aplicable al momento, ya que es "Hands-On course". Esto es, vas aplicando lo que estás viendo en el video correspondiente en tu computadora y ver que funciona de la misma manera que la que estás viendo en el video.
By Anonymized User on 9/17/2025
I have no regrets about investing my time in this course—it's exceptionally valuable compared to other instructors and publishers. I look forward to seeing additional content as MCP evolves. Thank you once again.
By Gilbert Bands on 8/30/2025
Spot on. I have some other courses that I took on this topic. This is way more comprehensive and the great part of this is that it is up to date. Section 17 is significant, as it brings into the picture how new as well as how significant this is at this point in the technology evolution. I learned heaps. Content from an expert, not just content to fill space. Thank you my time was well spent.
By Oliver Doyle on 7/24/2025
An excellent course with something for everybody. Seasoned programmers will like the later lessons and those just starting their Ai journey will like the lessons on MCP integration into third party tools. I enjoyed the overview on Docker and using it to deploy agents. Lots of practical stuff in here. Good job all round.
By Jed Gorman on 7/15/2025
Using a Linux machine, as opposed to one using WIndows or MacOS, forced me to get a little creative with quite a few things with this course, and the Binance API was a nightmare to deal with. As for the course itself? Absolutely amazing, with not only practical examples, but also more in depth topics that allow for security and publishing to the Internet as production ready MCPs. This course is a must.
By Javier R on 5/26/2025
This course is a gem! The calm and focused atmosphere makes learning effortless, and the short, well-structured lessons help you retain information effectively. What I loved most is how versatile it is: whether you're experienced in AI and Python or a complete beginner, the content is valid, high-quality, and easy to follow. The instructor avoids unnecessary complexity without sacrificing depth, a rare balance. Highly recommended for anyone looking to learn about MCP in a stress-free yet impactful way!
By Kornel Kovacs on 5/22/2025
This MCP training course exceeded my expectations in every way. As someone who works with AI systems professionally, I was looking for a comprehensive resource that could take me from understanding the theoretical foundations of Model Context Protocol to actually implementing it in real-world scenarios. This course delivered on all fronts.








