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 1.12 Questions and Answers during Office hours
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 🔒 2.10 Questions and Answers during Office hours
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 🔒 3.12 Questions and Answers during Office hours
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 1.12: Questions and Answers during Office Hours

Paid students can join office hours to discuss study related questions. Here are some highlights from previous office hours.

Q: How can a software engineer in traditional engineering transition to AI/ML-related projects?

A: Here are some steps to gain basic AI knowledge and experience:

  1. Learn the fundamentals through this class
  2. Explore online resources, such as machine learning courses on Coursera
  3. Work on side projects to build hands-on experience
  4. Consider career transition paths (ranked from easiest to hardest):
  5. Join AI/ML-related projects within your current team
  6. Transfer to a different team in the same company that works on AI/ML projects
  7. Apply for AI/ML positions in other companies

Q: What's the job outlook for software engineers?

A: The job market is evolving:
- Traditional software engineering roles are gradually decreasing
- AI/ML-related roles are experiencing significant growth
- AI coding tools are improving engineering productivity, which may reduce demand for traditional software engineering positions

Q: How well does the Cursor AI code editor handle complex projects?

A: The Cursor AI code editor is well-suited for complex problems:
- Can process large codebases
- Handles multi-file projects effectively
- Processes code in manageable chunks for better analysis