Oreilly – Generative AI for Python Developers 2024-6

Generative AI for Python Developers course. This course helps Python developers improve their programming practices using productive AI tools such as ChatGPT and GitHub Copilot. In this course, you will learn how to use productive artificial intelligence in various tasks, from writing simple scripts to complex data analysis, and with the help of these tools, you will dramatically increase the efficiency, creativity and quality of your code. This course comes with hands-on training and teaches you how to integrate generative AI into basic scripting, web development, data analysis with Jupyter, and test-driven development (TDD).

What you will learn:

• How to integrate advanced generative AI tools into your workflow to achieve maximum productivity in Python development
• Build Python scripts, web applications, and data analysis projects using the power of developer AI tools like ChatGPT and GitHub Copilot
• Understand the principles of prompt engineering for various development scenarios, in order to generate code that meets your needs.
• Performing data manipulation, visualization and analysis tasks in Jupyter with the help of artificial intelligence

This course is suitable for people who:

• Python developer
• Django developer
• data scientist
• Software engineer

Course prerequisites:

• Having basic knowledge of Python

Course details

• Publisher: Oreilly
• Instructor: Shaun Wassell
• Education level: beginner and intermediate
• Training duration: 3 and 37 minutes

Course headings

• Introduction
• Generative AI for Python Developers: Introduction
• Lesson 1: Generative AI Options for Python Development
• Learning objectives
• 1.1 Set up and work with ChatGPT
• 1.2 Write basic Python code using ChatGPT
• 1.3 Get started with Github Copilot
• 1.4 Learn the basics of navigating Github Copilot
• Lesson 2: Writing Basic Scripts with GenAI
• Learning objectives
• 2.1 Write basic automation scripts with ChatGPT
• 2.2 Write basic automation scripts with Github Copilot
• 2.3 Learn prompt-engineering best practices for writing scripts
• 2.4 Exercise: Write a web-scraping script
• 2.5 Exercise: Load and modify a CSV file
• Lesson 3: Using GenAI with Jupyter, Pandas, and More
• Learning objectives
• 3.1 Learn the basics of using Generative AI alongside Jupyter
• 3.2 Use AI to assist with data visualization
• 3.3 Use AI to assist with data analysis
• 3.4 Learn prompt-engineering best practices for data science
• 3.5 Exercise: Display data on a graph
• 3.6 Exercise: Clean some data
• Lesson 4: Improving Python Web-Development with GenAI
• Learning objectives
• 4.1 Build simple Python servers with Generative AI
• 4.2 Use Generative AI to create templates
• 4.3 Learn prompt-engineering best practices for web development
• 4.4 Exercise: Create a REST API
• 4.5 Exercise: Create a server for blog articles
• Lesson 5: Using GenAI for Test-Driven Development and Documentation
• Learning objectives
• 5.1 Write basic tests using Generative AI
• 5.2 Learn prompt-engineering best practices for Test-Driven Development
• 5.3 Use Generative AI to help with writing documentation
• 5.4 Exercise: Unit test basic functions
• 5.5 Exercise: Integration test API calls
• Summary
• Generative AI for Python Developers: Summary

Course images

Sample video of the course

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