kingers Posted yesterday at 06:42 PM Report Share Posted yesterday at 06:42 PM 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 53mAgentic 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 AIDDownloadhttps://ddownload.com/u4gx8k0iytva/yxusj.Agno.Agentic.AI.with.MCP.part1.rarhttps://ddownload.com/zrqyvjmdtxbh/yxusj.Agno.Agentic.AI.with.MCP.part2.rarRapidGatorhttps://rapidgator.net/file/4ca4fb156a1e33f462fd38c19a6dd74f/yxusj.Agno.Agentic.AI.with.MCP.part1.rarhttps://rapidgator.net/file/02ce48b6c69aeee913ae111d5aef419b/yxusj.Agno.Agentic.AI.with.MCP.part2.rarNitroFlarehttps://nitroflare.com/view/EF748A2157CA5C7/yxusj.Agno.Agentic.AI.with.MCP.part1.rarhttps://nitroflare.com/view/7BB151DB203A00F/yxusj.Agno.Agentic.AI.with.MCP.part2.rar Link to comment Share on other sites More sharing options...
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