Tags
Language
Tags
June 2025
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 1 2 3 4 5
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌

    ( • )( • ) ( ͡⚆ ͜ʖ ͡⚆ ) (‿ˠ‿)
    SpicyMags.xyz

    Agno Agentic Ai With Mcp

    Posted By: ELK1nG
    Agno Agentic Ai With Mcp

    Agno Agentic Ai With Mcp
    Published 5/2025
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
    Language: English | Size: 1.79 GB | Duration: 4h 53m

    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.

    Overview

    Section 1: Introduction

    Lecture 1 Agent Introduction

    Lecture 2 Agno Agent Framework Introduction

    Lecture 3 Open AI API Key

    Lecture 4 Visual studio code install

    Lecture 5 Project Setup with UV

    Lecture 6 UV installation

    Lecture 7 Run Program with UV

    Lecture 8 All Code Resources

    Section 2: Project Agno Financial assistant

    Lecture 9 Agno Financial assistant

    Section 3: Agno memory Agent

    Lecture 10 Memory Agent Overview

    Lecture 11 VectorDB Chunking

    Lecture 12 Agno memory Agent

    Lecture 13 Agno Memory Agent Demo

    Section 4: Agno Multi Agent

    Lecture 14 Agno Multi Agent Intro

    Lecture 15 Yahoo Finance and Web Agent

    Lecture 16 Demo Yahoo Finance Agent

    Lecture 17 Demo Web Agent

    Section 5: Agno Playground

    Lecture 18 Agno Playground intro

    Lecture 19 Playground Finance and Web Agent

    Lecture 20 PlayGround Demo Finance Agent

    Lecture 21 Playground Demo Web Agent

    Section 6: MCP Protocol Overview

    Lecture 22 MCP Protocol Intro

    Lecture 23 MCP vs Non MCP

    Lecture 24 MCP Communication between components

    Section 7: Project: Agno Agent with MCP

    Lecture 25 MCP Architecture Intro

    Lecture 26 Agno MCP server Intro

    Lecture 27 Agno MCP server code

    Lecture 28 Agno MCP Client Code

    Lecture 29 Demo Agno MCP

    Section 8: Appendix- Python

    Lecture 30 Internal Working of Python

    Lecture 31 Data Type Number

    Lecture 32 Data Type String

    Lecture 33 Data Type Boolean

    Lecture 34 Operator Python

    Lecture 35 Collection List

    Lecture 36 Collection Tuple

    Lecture 37 Collection Set

    Lecture 38 Dictionary

    Lecture 39 If Else Condition

    Lecture 40 While Loop

    Lecture 41 For Loop

    Lecture 42 Function Intro

    Lecture 43 Function Code

    Lecture 44 Lambda Function

    Lecture 45 Array Function

    Lecture 46 Class Introduction

    Lecture 47 Class Init

    Lecture 48 Class str

    Lecture 49 Class and Function

    Lecture 50 Inheritance Intro

    Lecture 51 Inheritance with Init

    Lecture 52 Iterator

    Lecture 53 Polymorphism

    Lecture 54 Scope Python

    Lecture 55 Modules Python

    Lecture 56 dates python

    Lecture 57 math modules

    Lecture 58 regular expression

    Lecture 59 json object

    Lecture 60 Pip package

    Lecture 61 Exception handling

    Lecture 62 User Input

    Lecture 63 String format

    Lecture 64 File read

    Lecture 65 File write

    Agentic AI