Udemy - Agno Agentic AI with MCP

Udemy - Agno Agentic AI with MCP
Published 5/2025
Created by Rahul Raj
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 65 Lectures ( 4h 53m ) | Size: 2 GB​

Agentic AI with Agno and MCP Crash Course Crash Course
What you'll learn
Learn how to use the MCP (Message, Chain, Plan) protocol to build structured, intelligent agents.
Gain hands-on experience developing financial agents that can analyze data and automate real-world tasks.
Understand how to integrate memory into your agents so they can recall past interactions and make informed decisions.
Using the Agno Playground, you'll simulate and visualize agent workflows in an interactive environment.
Create multi-agent systems where agents collaborate, delegate tasks, and solve problems together.
Requirements
Python basic
Description
Unlock the power of Agentic AI with this focused, hands-on course designed to teach you how to build intelligent financial agents using the Agno Agentic Framework and the MCP (Message, Chain, Plan) Protocol. Whether you're an AI enthusiast, developer, or a financial tech innovator, this course will help you grasp the next evolution of AI workflows through practical projects.You'll dive into how Agno simplifies the development of autonomous, goal-driven agents using structured planning and communication patterns. Learn to design financial agents that can analyze market data, execute tasks, and retain knowledge using Memory Agents. Explore the Agno Playground, a visual environment to test and simulate agents with dynamic prompts and task flows.The course emphasizes multi-agent collaboration where agents communicate and coordinate as teams to solve complex problems. Using real-world financial use cases, you'll create agents that not only act independently but also plan, reflect, and delegate in multi-agent environments.What you'll build:A smart Financial Analyst Agent using Agno & MCPA Memory-augmented agent capable of recall and reasoningA Multi-Agent system where agents collaborate on financial tasksUse of Agno Playground to simulate and visualize workflowsNo prior experience in agent frameworks is required-just a basic understanding of Python and AI concepts.Start your journey into the world of Agentic AI today and build systems that think, plan, and act-autonomously.
Who this course is for
Agentic AI
Homepage

https://www.udemy.com/course/agno-agentic-ai-with-mcp/

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