Resources for Professional Development Python and AI Development

Course Outline:

Attendees will learn: The concepts behind Machine Learning, part of the process of creating Large Language Models Programming Refresher in Python Walkthrough a Linear Regression Model on Real World Data Learn about OpenAI's API Platform and how to develop new software that builds off of their work with ChatGPT Build and Deploy their Own OpenAI Agent Powered ChatBot

Additional Resources

Links are all included in the Google Slides

Tools

1. VS Code OR any Text Editor and Terminal (Command Prompt)

2. Google Colab

Repository File Descriptions

example.py

Sample Code to Explore Programming Syntax and Features.

Colab ML Example

Link

Just Python Files

ml-colab.py

Code contents of the Colab

notepad.py

Demonstration of Python Code written in Notepad

vim.py

Demonstration of Python written in the Vim CLI program.

pd.py

Demonstration of Pandas library

Colab OpenAI Agent Example

Link

chat.py

Run this file using Streamlit. Check the README in the .streamlit folder for how to add your OpenAI Api Key.

pip install streamlit
streamlit run chat.py

Deployment Steps

1. To edit and deploy this app, you'll need to have a Github.com account.
2. Once created, Fork this repo to your account and Clone it to have a local copy.
3. When running your Streamlit app, click the Deploy option in the top right.
4. Once you've created a Streamlit account, you'll be able to host your App with them for free.