About 5 Day AI Agents Intensive Course With Google
5 Day AI Agents Intensive Course With Google is an MCP server published by anxiong2025 in the Developer Tools category: 谷歌5天AI Agents强化课程.
The repository has 123 stars and 34 forks, with the last commit 10 months ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.
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README
5-Day AI Agents Intensive Course with Google
42万+开发者参与的 AI Agent 课程 | 感谢 sdivyanshu90 和 Google 提供的免费课程资源
5 天直播回放视频:youtube
谷歌新课程:25天Agents课程-圣诞节礼物,学习笔记:25-Day-Agents-Course-by-Google
快速开始
前置要求
安装配置
# 安装依赖
uv sync
# 配置 API 密钥
cp .env.example .env
# 编辑 .env 文件,添加你的 GOOGLE_API_KEY
VS Code 配置
必需插件: Jupyter
- 安装:
Cmd+Shift+P→ "Extensions: Install Extensions" → 搜索 "Jupyter" - 选择内核:点击笔记本中的内核选择器 → 选择
.venv (Python 3.12.x)
运行笔记本
在 VS Code 中打开 day1/*.ipynb,按 Shift+Enter 运行单元格
课程大纲与每日作业
✅ Day 1: Agent 入门
主题: Agent 分类、Agent Ops、互操作性与安全基础
- 📄 白皮书: Introduction to Agents
- 🎙️ 播客: Unit 1 Summary
- 💻 代码实验:
- 📚 代码实验故障排除指南
本地笔记本:
day1/day1-01-from-prompt-to-action.ipynb- 基础 Agent + Google 搜索day1/day1-02-agent-architectures.ipynb- 多 Agent 模式(顺序/并行/动态)day1/day1-01-First-Agent-Web-UI.py- FastAPI Web 界面(运行:uv run day1/day1-01-First-Agent-Web-UI.py)
Day 2: Agent 工具与互操作性 (MCP)
主题: 外部工具、实时数据检索、模型上下文协议 (MCP)
Day 3: 上下文工程:会话与记忆
主题: 上下文窗口管理、会话、记忆(长期持久化)
Day 4: Agent 质量保障
主题: 评估框架、可观测性(日志/追踪/指标)、LLM-as-a-Judge、人工介入 (HITL)
- 📄 白皮书: Agent Quality
- 🎙️ 播客: Unit 4 Summary
- 💻 代码实验:
Day 5: 从原型到生产
主题: 部署、扩展、Agent2Agent (A2A) 协议、Vertex AI Agent Engine
- 📄 白皮书: Prototype to Production
- 🎙️ 播客: Unit 5 Summary
- 💻 代码实验:
注意事项
- Kaggle 代码实验需要手机验证
- 项目使用
.env存储 API 密钥(切勿将.env提交到 git)
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