Udemy - Agentic AI - Build AI Agents with MCP, FastMCP and Pydant...
About Udemy - Agentic AI - Build AI Agents with MCP, FastMCP and Pydant...
Overview
Agentic AI: Build AI Agents with MCP, FastMCP & Pydantic AI https://WebToolTip.com Published 7/2026 Created by Nandakishor M MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All Levels | Genre: eLearning | Language: English | Duration: 10 Lectures ( 1h 23m ) | Size: 787.7 MB Learn JSON-RPC and the Model Context Protocol, build multi-agent systems, run local LLMs, and ship a JWT-secured agent What you'll learn ⚡ Build AI agents from first principles using the Model Context Prot
Frequently Asked Questions
How do I download Udemy - Agentic AI - Build AI Agents with MCP, FastMCP and Pydant...?
Click the magnet or torrent download button on this page to start downloading Udemy - Agentic AI - Build AI Agents with MCP, FastMCP and Pydant.... A BitTorrent client is required.
What is the file size of Udemy - Agentic AI - Build AI Agents with MCP, FastMCP and Pydant...?
The total size of Udemy - Agentic AI - Build AI Agents with MCP, FastMCP and Pydant... is 787.7 MB.
How many seeders are available for Udemy - Agentic AI - Build AI Agents with MCP, FastMCP and Pydant...?
Udemy - Agentic AI - Build AI Agents with MCP, FastMCP and Pydant... currently has 23708 seeders, which affects download speed.
What category is Udemy - Agentic AI - Build AI Agents with MCP, FastMCP and Pydant... in?
Udemy - Agentic AI - Build AI Agents with MCP, FastMCP and Pydant... is listed under Other on 1337x.
Agentic AI: Build AI Agents with MCP, FastMCP & Pydantic AI
https://WebToolTip.com
Published 7/2026
Created by Nandakishor M
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 10 Lectures ( 1h 23m ) | Size: 787.7 MB
Learn JSON-RPC and the Model Context Protocol, build multi-agent systems, run local LLMs, and ship a JWT-secured agent
What you'll learn
⚡ Build AI agents from first principles using the Model Context Protocol (MCP), understanding the JSON-RPC loop behind every agent.
⚡ Turn any Python function into an agent tool in minutes with FastMCP, and orchestrate multi-agent, multi-tool systems using Pydantic AI.
⚡ Run large language models locally with Ollama and GGUF quantization, so your agents work offline with no API bills.
⚡ Deploy a working AI agent as a production REST API secured with JWT authentication using FastAPI.
⚡ Understand LLM internals that matter for agents: tokens, embeddings, attention, FP16 and quantization.
Requirements
❗ Comfortable writing basic Python (functions, classes, pip). No AI or machine learning background needed, everything about agents and LLMs is taught from scratch.
❗ A computer that can run Python 3. A GPU is helpful for local models but not required.