This course teaches you how to use generative AI tools such as ChatGPT and GitHub Copilot in your Python projects. You will learn practical methods for automating scripting tasks, improving data analysis with Jupyter and Pandas, and building web applications. The course covers using AI for writing, testing, and documenting code, as well as creating effective prompts. Each module focuses on skills you can apply directly to your work. By the end of the course, you will understand how to integrate generative AI tools into your Python workflow to improve efficiency and solve problems.
Generative AI for Developers: Unit 2
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Generative AI for Developers: Unit 2
This course is part of Generative AI for Developers: All you need to know! Specialization
Instructor: Pearson
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
6 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Integrate leading generative AI tools (ChatGPT, GitHub Copilot) into Python development workflows.
Automate scripting, data analysis, and visualization tasks using AI-powered techniques.
Build and enhance Python web applications with AI-assisted development practices.
Streamline test-driven development and documentation through AI-driven solutions.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
August 2025
Assessments
5 assignments
Taught in English
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This course is part of the Generative AI for Developers: All you need to know! Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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- Gain a foundational understanding of a subject or tool
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There is 1 module in this course
This module is designed to empower Python programmers with the latest generative AI tools, such as ChatGPT and GitHub Copilot. Through hands-on lessons, you’ll learn to boost coding efficiency and creativity, from automating scripts and engineering prompts to AI-assisted data analysis, web development, and test-driven practices. By integrating generative AI into real-world Python workflows—including Jupyter, Pandas, and REST APIs—you’ll enhance your productivity and code quality, gaining practical skills to transform your development process.
What's included
32 videos5 assignments
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