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URL: https://www.coursera.org/learn/pearson-generative-ai-for-python-developers-video-course-mmg4c

⇱ Generative AI for Developers: Unit 2 | Coursera

Generative AI for Developers: Unit 2

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Generative AI for Developers: Unit 2

Instructor: Pearson

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace
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.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 assignments

Taught in English

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

There is 1 module in this course

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.

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

32 videos•Total 218 minutes
  • Introduction•2 minutes
  • Learning objectives•1 minute
  • Set up and work with ChatGPT•6 minutes
  • Write basic Python code using ChatGPT•8 minutes
  • Get started with Github Copilot•6 minutes
  • Learn the basics of navigating Github Copilot•13 minutes
  • Learning objectives•1 minute
  • Write basic automation scripts with ChatGPT•14 minutes
  • Write basic automation scripts with Github Copilot•10 minutes
  • Learn prompt-engineering best practices for writing scripts•6 minutes
  • Exercise: Write a web-scraping script•15 minutes
  • Exercise: Load and modify a CSV file•9 minutes
  • Learning objectives•1 minute
  • Learn the basics of using Generative AI alongside Jupyter•5 minutes
  • Use AI to assist with data visualization•7 minutes
  • Use AI to assist with data analysis•4 minutes
  • Learn prompt-engineering best practices for data science•6 minutes
  • Exercise: Display data on a graph•8 minutes
  • Exercise: Clean some data•4 minutes
  • Learning objectives•1 minute
  • Build simple Python servers with Generative AI•11 minutes
  • Use Generative AI to create templates•11 minutes
  • Learn prompt-engineering best practices for web development•6 minutes
  • Exercise: Create a REST API•16 minutes
  • Exercise: Create a server for blog articles•9 minutes
  • Learning objectives•1 minute
  • Write basic tests using Generative AI•12 minutes
  • Learn prompt-engineering best practices for Test-Driven Development•4 minutes
  • Use Generative AI to help with writing documentation•6 minutes
  • Exercise: Unit test basic functions•7 minutes
  • Exercise: Integration test API calls•5 minutes
  • Course Summary•3 minutes
5 assignments•Total 150 minutes
  • Generative AI Options for Python Development Quiz•30 minutes
  • Writing Basic Scripts with GenAI Quiz•30 minutes
  • Using GenAI with Jupyter, Pandas, and More Quiz•30 minutes
  • Improving Python Web-Development with GenAI Quiz•30 minutes
  • Using GenAI for Test-Driven Development and Documentation Quiz•30 minutes

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Instructor

Pearson
268 Courses•65,144 learners

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Frequently asked questions

Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.

If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.

Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

If you complete the course successfully, your electronic Course Certificate will be added to your Accomplishments page - from there, you can print your Course Certificate or add it to your LinkedIn profile.

This course is currently available only to learners who have paid or received financial aid, when available.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,