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所在平台: Udemy |
课程主页: https://www.udemy.com/course/2025-bootcamp-understand-and-build-professional-ai-agents/
课程评论：没有评论
课程名称：2025训练营：理解和构建专业AI代理 课程概述：该课程是全球排名第一的生成AI训练营的延续，旨在帮助学员理解和构建专业的AI代理。课程由来自140多个国家的25000多名学生的满意度支持，预示着AI代理的潜力。"AI代理将带来计算机领域最大的革命。" - 比尔·盖茨（微软创始人）。“AI代理将成为我们的数字助手，使我们的生活更轻松高效。” - 杰夫·贝索斯（亚马逊创始人）。“AI代理时代已经来临。” - 詹森·黄（英伟达创始人）。 加入此训练营的理由包括：生成AI职位发布数量增长速度是所有工作岗位的3.5倍，要求生成AI技能的工作岗位薪资溢价可达25%。课程无须提前了解AI代理，并提供了适合新手的编程快速指南。 课程内容分为两部分： 第一部分：了解AI代理的关键，包括其对商业、初创公司和就业的革命性潜力，探讨AI代理的市场、优点、用例等，设计实施AI代理的计划以及了解其面临的挑战和法规信息。 第二部分：学习构建不同层次的AI代理，包括基础、中级和高级，涉及构建AI代理的主要框架（如AutoGen、LangGraph和CrewAI）。同时，课程将深入讲解如何利用CrewAI和LangGraph等框架构建AI代理，涵盖内存管理、事件监听、调试以及与企业应用的集成等。 该课程旨在培养学员成为AI代理革命的先驱，欢迎有志于掌握未来技术的人士报名参加。
The creators of the #1 Generative AI Bootcamp Worldwide (2025 Bootcamp: Generative AI, LLM Apps, AI Agents, Cursor AI, with more than 25,000 students from more than 140 countries), present now this 2025 Bootcamp: Understand and Build Professional AI Agents.What are the Top Experts saying about the Potential of AI Agents:"AI Agents are going to bring about the biggest revolution in computing." - Bill Gates, Founder of Microsoft."AI agents will become our digital assistants. They will make our lives easier and more efficient." - Jeff Bezos, Founder of Amazon."The age of AI Agents is here." - Jensen Huang, Founder of Nvidia.Why Join This Bootcamp:"Postings for Gen AI jobs are growing 3.5x faster than all jobs." (PwC 2024 Global Barometer)"Jobs requiring Gen AI skills carry up to a 25% wage premium." (PwC 2024 Global Barometer)Trusted by over 25,000 students from 140 countries - our previous Generative AI Bootcamp was ranked #1 worldwide.What Makes This Bootcamp Special:No prior knowledge of AI Agents is required.For those who need it, it includes a quick guide to learning how to program in the new era of Generative AI.It's the ideal next step after completing our 2025 Bootcamp: Generative AI, LLM Apps, AI Agents, Cursor AI.In Part 1, you will learn the keys to AI Agents, as well as its potential to revolutionize businesses, startups, and employment:How AI Agents fit into the Generative AI Revolution.What are AI Agents and Multi-Agents.The huge market for AI Agents.The Key Benefits of AI Agents.Use Cases of AI Agents.How to design a Plan to Introduce AI Agents in your company.What are the top challenges and limitations of AI Agents.Regulations and AI Agents: What you need to know.Future of AI Agents.Real Cases of AI Agents that will inspire you.Updated Report: State of the Generative AI Revolution.In Part 2, you will learn to build AI Agents of different levels (basic, intermediate, and advanced) with the top frameworks in the market today:Analysis of the main frameworks for building AI Agents: AutoGen, LangGraph, CrewAI.The three stages of the recommended learning process for building AI Agents.Reasons why CrewAI emerges as the most suitable framework for the initial learning.CrewAI adoption statistics: who uses it and for what.Building simple and intermediate-level AI agents with CrewAI.Quick guide to learning CrewAI.How to use alternative LLMs with CrewAI and Groq.First AI Agents with CrewAI: simple crew and full-stack crew.New updates and features of CrewAI.Flows: the new feature that enables the creation of advanced AI Agents with CrewAI.Integrating CrewAI with native, external, and custom tools.Memory in CrewAI.RAG in CrewAI.Event Listeners in CrewAI.Fingerprinting in CrewAI.How to improve agent performance with CrewAI.Testing agents in CrewAI.Training agents in CrewAI.The new CrewAI deployment and observability platform.How to integrate CrewAI with enterprise applications like Salesforce, Hubspot, etc.Instructions to install projects error-free.Basic Crew project.Crew to plan and manage a marketing project.Multi-model crew to prepare sales meetings.Flow with crew to manage your email.Flow with two crews to assist SDRs.Why LangGraph is the top framework to build professional-level AI Agents today.Why the LangChain team decided to create the LangGraph framework to build better AI Agents.Degrees of Agentic Behavior.What is a Graph in LangGraph?How to learn LangGraph the right way: from painful to joyful.Understanding the components of a LangGraph app.Quick guide to learning LangGraph.Basic multi-agent project with LangGraph.AI Agents Routing with Conditional Edges.AI Agents that remember your conversation: short-term memory.What is in the mind of the AI Agent? The state schema.How to change what is in the AI Agent's mind: Reducers.Private and Public conversations: how to build AI Agents with Multiple State Schemas.Memory efficiency: how to prevent high token usage in AI Agents.Memory Persistence: How to save the memory of your AI Agent in an external database.How to improve your AI Agent with Human-in-the-loop.Breakpoints: the right time to add Human-in-the-loop.Human-in-the-loop: how to add an approval step.Human-in-the-loop: how to change what is in the AI Agent's mind.Human-in-the-loop: how to debug AI Agents.Parallelization: How your AI Agent can execute more than one task at a time.How you can build Multi-Agents with sub-graphs.Map-Reduce operations: how to master one of the key techniques for AI Agents.The process to build an AI Agent from scratch: from the initial interview with your client to the final app.How to build an advanced Multi-Agent app: automating the job of a Market Research Team.Short-term vs. Long-term memory in AI Agents.How to build AI Agents with long-term memory: they remember who you are, your previous conversations, and how you want them to behave.How to manage AI Agents with complex Memory Schemas using TrustCall.How to build an advanced AI Agent with long-term memory: an amazing personal assistant that proactively manages your to-do list for you.How to use advanced listeners to debug your AI Agents.Join Today: Take your place among the pioneers of the AI Agent revolution. Don't miss this opportunity-enroll now before conditions change!
