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

Generative AI for Developers: Unit 2
This course is part of Generative AI for Developers: All you need to know! Specialization

Instructor: Pearson
Access provided by SGCSRC
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
Assessments
5 assignments
Taught in English
See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise
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.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

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