为什么值得关注

提供罕见的端到端AI Agent课程体系，包含博客和配套视频，由经验丰富的教育者编写，系统地从基础概念进阶到高级多Agent编排与评估。

适合谁使用

刚接触AI Agent的开发者和工程师
希望深入掌握Agent构建技能的AI/ML从业者
学习现代LLM应用模式的学生
评估Agent架构的技术负责人

典型使用场景

学习AI Agent设计与实现的完整流程
构建实际Agent，如研究Agent或计算机操作Agent
理解生产系统中Agent的评估与可观测性
对比不同Agent模式（ReAct、反思、计划-执行）以支持项目决策

项目优势

结构清晰，从基础到高级多Agent系统循序渐进
涵盖理论与实践，辅以真实示例
包含评估、可观测性和编排工程，面向生产环境
由公认的教育者撰写，依托Outcome School学习平台

使用前须知

仓库仅包含外部博客和视频链接，无可执行代码或笔记
系列持续更新中，可能尚未覆盖所有期望的Agent主题
仓库本身不提供动手代码或可运行示例
主要依赖文字说明，缺乏交互式组件

README 快速开始

AI Agents Tutorial

Learn AI Agents step by step, from scratch - from function calling to agent loops to multi-agent systems, orchestration, and evaluation.

Prepared and maintained by the Founder of Outcome School: Amit Shekhar

Note: This series will continue to grow as I write more blogs and create more videos on new topics. Keep learning.

AI Engineering (LLM, RAG, MCP, Agent)

Before diving into AI Agents, it's a good idea to first understand the foundations that agents are built on.

In this video, we will cover the following:

LLM
RAG
MCP
Agent
Fine-tuning
Quantization

Let's get started: AI Engineering Explained: LLM, RAG, MCP, Agent, Fine-Tuning, Quantization

AI Agent Explained

In this blog, we will learn about the AI Agent - what it is, how it is different from a plain LLM, its five core parts, how it works end to end, the main types, and when to use one.

We will cover the following:

The Big Picture
What is an AI Agent
AI Agent vs Plain LLM vs Chatbot
The Five Core Parts
How an AI Agent Works End to End
A Concrete Example: Research Agent
Types of AI Agents
What AI Agents Can Do Today
When to Use an AI Agent
Common Failure Modes
Quick Summary

Let's get started: AI Agent Explained

How does Function Calling work in LLMs?

In this blog, we will learn about how Function Calling works in LLMs. We will see what it is, why we need it, the key insight behind it, and how it powers AI agents and assistants step by step.

We will cover the following:

What is Function Calling
Why We Need Function Calling
The Key Insight: The Model Does Not Run the Function
How Function Calling Works Step by Step
A Concrete Example: get_weather(city)
The Conversation Loop
Multi-Step and Parallel Function Calling
Relation to Structured Outputs and JSON Mode
Real-World Use: The Backbone of AI Agents
Quick Summary

Let's get started: How does Function Calling work in LLMs?

AI Agent Loop

In this blog, we will learn about the AI Agent Loop - what it is, why an AI Agent needs it, the think-act-observe cycle that powers it, how the loop knows when to stop, and the common ways the l

项目描述

Learn AI Agents step by step, from scratch - from function calling to agent loops to multi-agent systems, orchestration, and evaluation.

ai-agents-tutorial