AI Agents: Building Autonomous Intelligent Systems

Master the art and science of building AI agents that can perceive, reason, plan, and act autonomously. This course bridges the gap between language models and intelligent systems that can solve complex real-world problems through tool use, planning, and multi-agent coordination.

课程数据表v2.1

课时14

总时长20时 0分

难度高级

分类AI 智能代理

类型免费

更新于2024-12-19

语言EN · RU · ZH

§A · 目标

您将能够做什么。

01.Understand agent architectures and autonomous behavior patterns

02.Master tool integration and function calling with MCP protocol

03.Implement planning algorithms and reasoning strategies

04.Design multi-agent systems with coordination and communication

05.Build production-ready agents with memory and context management

06.Deploy and monitor AI agents in real-world environments

07.Apply ethics, safety, and optimization principles to agent systems

§B · 大纲

所有课程。按顺序阅读，或跳转。

№课程类型时间

01Foundations of AI Agents: From Reactive to Autonomous概念· 75 min75 min→02Agent Architectures: ReAct, Planning, and Reasoning Patterns概念· 75 min75 min→03Tool Integration Fundamentals: Function Calling and APIs概念· 60 min60 min→04Advanced Tool Integration: Workflows, Security, and Optimization概念· 90 min90 min→05MCP Protocol and Advanced Tool Orchestration概念· 90 min90 min→06Planning Algorithms: Search and Basic Planning概念· 60 min60 min→07Advanced Planning: Goal Decomposition and Uncertainty概念· 75 min75 min→08Advanced Reasoning: Self-Reflection, Error Recovery, and Adaptation概念· 75 min75 min→09Multi-Agent Systems and Coordination概念· 120 min120 min→10Production Deployment and Operations概念· 120 min120 min→11Performance Optimization: Efficiency and Application-Level Optimization概念· 90 min90 min→12Performance Optimization: Model and Infrastructure Optimization概念· 90 min90 min→13Ethics and Safety in AI Agent Systems概念· 90 min90 min→14Future Directions and Emerging Trends概念· 90 min90 min→