Lesson 0: Introduction
0.1 Welcome 0.2 Office Hours
Lesson 1: Environment
1.1 Welcome 1.2 Python 1.3 Virtual environment 1.4 Git 1.5 Cursor 1.6 OpenAI 1.7 First AI Agent 1.8 AI Agent with OpenAI SDK 1.9 AI Agent Chat Bot 1.10 Plan Your Project 1.11 Plan Your Requirements
Lesson 2: User Interaction
🔒 2.1 Architecture 🔒 2.2 Core Logic as a Service 🔒 2.3 Verify core logic 🔒 2.4 Web Server 🔒 2.5 Command Line Interface 🔒 2.6 Web Interface 🔒 2.7 Debugging the Web Interface 🔒 2.8 Bonus Development Tips 🔒 2.9 Your Project
Lesson 3: Interacting with the World
🔒 3.1 Interacting with the World 🔒 3.2 API for Agents 🔒 3.3 Preparing Product Catalog 🔒 3.4 Building a Product Search API 🔒 3.5 Building a Product Search API 2 🔒 3.6 Enabling the Agent to Use Product Search API 🔒 3.7 Web Interface 🔒 3.8 Structured Output 🔒 3.9 Structured Output 2 🔒 3.10 Structured Output 3 🔒 3.11 Your project
Lesson 4: Remembering and Reasoning
🔒 4.1 Context 🔒 4.2 Core Logic 🔒 4.3 Web Server 🔒 4.4 Multiple Rounds 🔒 4.5 Debugging Session Handling 🔒 4.6 Multiple Rounds Take 2 🔒 4.7 Multiple Clients 🔒 4.8 Multiple Actions 🔒 4.9 Multiple Actions Web
Lesson 5: Deployment
🔒 5.1 Deployment 🔒 5.2 AWS 🔒 5.3 EC2 instance 🔒 5.4 Deploy Server Code 🔒 5.5 Creating a Domain Name 🔒 5.6 Map Domain Name 🔒 5.7 Install Nginx 🔒 5.8 Configure Nginx Reverse Proxy 🔒 5.9 Your own project

Lesson 1.11: Plan Your Requirements

If you are interested to build an AI agent, you can use the following example to outline the requirements of the app.

Example Requirements Document

1. Project Overview

2. Core Features

3. Technical Requirements

4. User Interface

5. Success Criteria