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This video on fastMCP by Simplilearn explains how FastMCP helps developers build MCP servers quickly using Python. In this beginner-friendly FastMCP tutorial, you will learn what MCP, or Model Context Protocol, means and why it is becoming important for modern AI applications. The video explains how MCP connects AI apps with tools, APIs, files, business data, and external systems in a secure and structured way. You will also understand why FastMCP is useful for Python developers who want to create MCP servers without writing complex setup code. This tutorial covers MCP basics, FastMCP setup, VS Code project setup, Python environment creation, and package installation. You will learn how to build your first FastMCP server using simple Python functions and decorators. The video also shows how to create tools, resources, and prompt templates inside a FastMCP project. You will see how to test the MCP server using the terminal, FastMCP Inspector, and a simple Python client. It also explains FastAPI integration and how FastMCP can work with web applications. This video is useful for Python developers, AI developers, backend developers, students, and anyone learning AI application development. By the end of this FastMCP tutorial, you will understand how to build a basic MCP server and connect AI applications with real tools and data.
Following are the topics covered in this tutorial on FastMCP Tutorial For Beginners:
00:00:00 MCP Basics
00:09:14 Why FastMCP
00:13:58 Project Setup Demo
00:16:04 First FastMCP Server Demo
00:17:40 Tools, Resources, And Prompts Demo
00:24:05 Testing The Server Demo
00:26:41 FastAPI Integration Demo
00:32:44 Final Project Demo
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➡️ About Applied Agentic AI: Systems, Design & Impact
This 10-week, practitioner-level program equips experienced professionals to design and lead agentic AI systems. It combines multi-agent orchestration, hands-on technical depth, and product strategy to build and manage next-generation autonomous AI solutions.
Key Features
✅ Master agentic AI systems, planning frameworks, multi-agent ecosystems, and product strategy in a 10-week, practitioner-level program
✅ Apply your learning through 40+ demos, 10+ guided practices, 11 frameworks, 7 hands-on course-end projects, and 1 capstone
✅ Develop expertise in agentic frameworks, multi-agent systems, RAG, MCP, planning systems, workflow automation, and more
✅ Work tools and frameworks like LangChain, AutoGen, CrewAI, n8n, Lovable, Miro, Figma, LangSmith, Jupyter
✅ Brush up on Python essentials and AI-ready workflows before diving into the core Agentic AI courses
✅ Join live, online interactive classes with peer-to-peer engagement on Slack, mentoring sessions, and dedicated cohort support
✅ Earn a joint program completion certificate from Microsoft and Simplilearn
✅ Secure Microsoft Learn badges on the Microsoft Learn portal for the Microsoft-branded courses
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
Skills Covered
✅ Workflow Automation
✅ Agentic Frameworks
✅ MultiAgent Systems
✅ Intelligent Automation
✅ GTM for Agentic AI
✅ Ethics and Transparency
✅ LLM Function Calling
✅ Planning Systems
✅ Prompt Engineering
✅ UX and UI with Agentic AI
✅ Copilots
✅ MCP
✅ RAG
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