Top 10 Udemy Courses to Learn Artificial Intelligence for Beginners in 2025
Top 6 Udemy Courses to learn MCP (Model Context Protocol) in 2025
My favorite courses to learn MCP or Model Context Protocol as well as MCP and LLM integration to build real world AI Apps
Hello guys, AI Agents are no longer just a trend — they’re becoming an essential part of how we build intelligent, context-aware applications and they are driving next set of productivity tools.
At the center of this shift is MCP (Model Context Protocol), a rising open standard that enables developers to structure, connect, and orchestrate LLM-based agents efficiently.
MCP addresses the challenge of fragmented AI-tool integration. Without a standard, developers must create bespoke RESTful APIs or function-calling mechanisms for each tool an AI needs to use, leading to complexity, inconsistency, and maintenance headaches.
MCP simplifies this by providing a unified interface for AI to interact with any MCP-compliant tool, reducing integration effort and enabling LLMs to perform actions beyond text generation, like sending emails or querying databases
If you’re building with LLMs and want to move beyond prompt chains and static APIs, mastering MCP is a no-brainer.
It helps you create stateful, context-rich, and autonomous AI systems with robust tooling and reusability. And the best part? You don’t need to be a deep learning researcher to get started.
If you want to learn Model Context Protocol and looking for best resources then you have come to the right place.
Earlier, I have shared best ChatGPT courses, best Data Science courses and best Machine Learning courses and in this article, I am going to share best Udemy courses to learn MCP or Model Context Protocol for beginners in 2025.
Whether you’re a backend engineer, AI builder, or indie hacker building your first multi-agent app, these 6 Udemy courses will give you hands-on experience and clarity on MCP — how it works, how to build it, and how to scale with it.
Let’s explore the best courses to learn MCP in 2025
By the way, if you are new into Generative AI field then I highly recommend you to checkout this Generative AI for Beginners course on Udemy first.
This is a great course to get a detailed understanding of Generative AI and key concepts like LLM, Embeddings, Prompt Engineering, Fine Tuning with hands-on experience by creating a chatbot.
6 Best Udemy Courses to learn MCP or Model Context Protocol in 2025
Without any further ado, here are the best Udemy courses you can join in 2025 to learn and understand about MCP or Model Context Protocol, the standard which makes AI Agent possible .
1. MCP Crash Course: Complete Model Context Protocol in a Day
If you’re new to MCP and want a fast but comprehensive introduction, this is your go-to crash course.
You’ll learn:
- What MCP is and why it matters in modern AI systems
- How to build and deploy MCP clients and servers
- How to use tools like WebSockets, SSE, LangGraph, and Gemini for real-time agent communication
In just one day, you’ll go from zero to building your first working AI system powered by MCP. It’s a great primer for engineers, hobbyists, or product managers.
Perfect for developers who want a no-fluff, real-world overview of MCP in action.
Here is the link to join this course — MCP Crash Course: Complete Model Context Protocol in a Day
2. The Complete Agentic AI Engineering Course (2025)
MCP is a core part of building powerful Agentic AI systems, and this course covers the entire stack.
You’ll build 8 real-world projects using:
- OpenAI Agents SDK
- CrewAI
- LangGraph
- AutoGen
- MCP for agent coordination and memory
Whether you’re looking to create a custom GPT-style assistant or orchestrate multiple LLMs working together, this course connects the dots between frameworks, tools, and architecture.
A must-take if you’re serious about building modern agentic AI apps in 2025.
Here is the link to join this course — The Complete Agentic AI Engineering Course (2025)
3. The Complete MCP (Model Context Protocol) Bootcamp
This is the most in-depth course fully dedicated to MCP.
You’ll master:
- The protocol’s structure and capabilities
- How to build both MCP clients and servers
- How to use LangGraph, streaming APIs, and memory for advanced agent functionality
The course includes several mini-projects that simulate real use-cases — like AI scheduling agents, conversational bots, and real-time decision makers.
Ideal for developers who want to go deep and build reusable MCP components for multi-agent systems.
Here is the link to join this course — The Complete MCP (Model Context Protocol) Bootcamp
4. RAG Agents: Build Apps & GPTs with APIs/MCP, LangChain & n8n
If you’re looking to combine MCP + RAG + automation, this course is the power combo.
You’ll learn how to:
- Connect MCP servers with RAG pipelines
- Build interactive flows using n8n, LangChain, and LangGraph
- Use APIs from ChatGPT, Gemini, Claude, and DeepSeek
By the end of the course, you’ll have a complete AI app running on MCP, with autonomous agents querying knowledge, generating insights, and taking action across platforms.
Best suited for full-stack builders and AI developers interested in scalable LLM workflows.
Here is the link to join this course — RAG Agents: Build Apps & GPTs with APIs/MCP, LangChain & n8n
5. MCP Masterclass: Complete Guide to MCP in Python [2025]
This is the definitive Python-centric MCP course. Whether you’re working locally or in the cloud, this course helps you build everything from scratch.
What you’ll build:
- 4+ fully functional MCP servers and clients
- Custom protocol handlers
- Agent coordination via websockets, SSE, and event streams
The course is packed with lessons on publishing, deploying, and testing MCP-based applications for production environments.
Highly recommended for backend Python developers building custom LLM infrastructure.
Here is the link to join this course — MCP Masterclass: Complete Guide to MCP in Python [2025]
6. MCP & A2A — Model Context Protocol & Agent-to-Agent Protocol
This is where things get next-level. The course goes beyond MCP to introduce the A2A (Agent-to-Agent) communication protocol.
In this course, you’ll:
- Build 5 unique MCP clients and 3 servers
- Create multi-agent conversations using Gemini + LangGraph
- Implement event streaming via SSE on macOS
- Connect agents using real-time collaboration patterns with A2A
It also includes a free Gemini API key to test your agents with Google’s latest LLMs.
This course is perfect for developers exploring advanced coordination between agents.
Here is the link to join this course — MCP & A2A — Model Context Protocol & Agent-to-Agent Protocol
Why Learn MCP in 2025?
As I said, Model Context Protocol (MCP) is an open-standard protocol designed to standardize how AI models, particularly large language models (LLMs), interact with external applications, tools, and data sources.
Think of it as a universal adapter — like “USB-C for AI integrations” — that allows AI agents to execute actions across diverse platforms (e.g., Gmail, Google Drive, or a weather app) in a consistent, programmatically callable way using HTTP-compatible JSON-RPC
MCP is shaping up to be the standard protocol for LLM-powered agent systems.
Here’s why you should invest time learning it:
- Reusability: Standardized interface for clients, tools, and LLMs
- Modularity: Swap models, servers, and memory tools without rewriting logic
- Scalability: Orchestrate multiple agents with memory, tools, and workflows
- Community Support: Supported by leading AI frameworks like LangGraph, CrewAI, and AutoGen
From solo developers to startup teams, MCP gives you the building blocks to launch production-ready AI apps faster and smarter.
If you just want to do one thing, I suggest you to go and join this MCP Crash Course: Complete Model Context Protocol in a Day, it’s a great course to learn MCP online.
Conclusion
That’s all about the best Udemy courses to learn MCP or Model Context Protocol in 2025. Agentic AI is the future — and MCP is the protocol that ties it all together.
Whether you’re looking to build your first app or level up your LLM engineering skills, these 6 Udemy courses provide the perfect foundation.
Each one takes you deeper into MCP, offering hands-on experience with the tools, servers, and agents you’ll be using in real-world deployments.
So, if you’re serious about riding the AI wave in 2025, don’t just learn ChatGPT — master MCP.
By the way, if you want to join multiple course on Udemy, its may be worth getting a Udemy Personal Plan, which will give instant access of more than 11,000 top quality Udemy courses for just $30 a month.
If you got a lot of time and want to save money, Udemy Personal Plan will be perfect for you.
Let’s build the future, one AI agent at a time.
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Thanks for reading this article so far. If you find these Udemy Courses for learning AI from scratch, including tools and libraries then please share with your friends and colleagues. If you have any questions or feedback, then please drop a note.
P. S. — If you are keen to learn Midjourney and ChatGPT and looking for a free online training course to start with then you can also check out this free ChatGPT, Midjourney, Firefly, Bard, DALL-E, AI Crash course on Udemy. This course is completely free and you just need an Udemy account to join this course. You can also join this course for free with Udemy personal plan.
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