Generative AI for Python Developers by Shaun Wassell

Generative AI for Python Developers: Introduction
1m 24s remaining
Learning objectives
50s
1.1 Set up and work with ChatGPT
6m 5s
1.2 Write basic Python code using ChatGPT
8m 1s
1.3 Get started with Github Copilot
5m 57s
1.4 Learn the basics of navigating Github Copilot
13m 4s
Learning objectives
1m
2.1 Write basic automation scripts with ChatGPT
13m 30s
2.2 Write basic automation scripts with Github Copilot
9m 34s
2.3 Learn prompt-engineering best practices for writing scripts
6m 21s
2.4 Exercise: Write a web-scraping script
15m 21s
2.5 Exercise: Load and modify a CSV file
9m 26s
Learning objectives
1m 8s
3.1 Learn the basics of using Generative AI alongside Jupyter
5m 13s
3.2 Use AI to assist with data visualization
6m 31s
3.3 Use AI to assist with data analysis
4m 29s
3.4 Learn prompt-engineering best practices for data science
6m 25s
3.5 Exercise: Display data on a graph
8m 12s
3.6 Exercise: Clean some data
4m 3s
Learning objectives
1m 3s
4.1 Build simple Python servers with Generative AI
11m 4s
4.2 Use Generative AI to create templates
11m 29s
4.3 Learn prompt-engineering best practices for web development
5m 35s
4.4 Exercise: Create a REST API
15m 31s
4.5 Exercise: Create a server for blog articles
9m 2s
Learning objectives
1m 17s
5.1 Write basic tests using Generative AI
11m 43s
5.2 Learn prompt-engineering best practices for Test-Driven Development
3m 30s
5.3 Use Generative AI to help with writing documentation
5m 41s
5.4 Exercise: Unit test basic functions
6m 46s
5.5 Exercise: Integration test API calls
4m 32s
Generative AI for Python Developers: Summary
3m 14s