Programming with Generative AI from Coursera

Our "Programming with Generative AI" course takes you on a practical journey, exploring how generative AI tools can transform your coding workflow. Whether you're a software developer, tech lead, or AI enthusiast, this hands-on program is designed for you.

Learn by doing:

- Dive deep into GitHub Copilot, the innovative tool co-developed by OpenAI and GitHub.

- Master this powerful technology through hands-on examples.

- Seamlessly integrate generative AI into your workflow for a more efficient and creative coding experience.

Stay ahead of the curve:

- Gain a deep understanding of Generative AI's potential in software development.

- Unlock new possibilities and revolutionise the way you code.

- Become a leader in the future of software development innovation.

Here's what you need to get started:

- Visual Studio Code: You'll need to install this free code editor. We provide instructions!

- Python: You'll need Python installed on your computer. Don't worry, we have instructions for that too!

- GitHub Copilot subscription: This is a paid service, but it's key for using Copilot in this course.

Join us and unleash the power of generative AI!

What's inside

Syllabus

Generative AI Tools for Programming

In this module, you will appreciate the importance of Generative AI for programming, and get introduced to the code companion tools in software development.

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Teaches the use of Python and GitHub's Copilot

Provides a practical journey into how generative AI tools can transform coding workflow

May require extensive background knowledge

Teaches tools and methods that are highly relevant in the software development industry

Involves hands-on labs and interactive materials

Examines the potential of Generative AI in software development

Reviews summary

Practical github copilot integration for developers

According to students, this course provides a highly practical and effective introduction to GitHub Copilot, proving particularly beneficial for those new to generative AI in programming or developers seeking to streamline their workflow. Learners find the hands-on examples and labs superb, making it a solid starting point for integrating AI into coding. However, some learners note the course primarily focuses on Copilot, lacking deeper theoretical insights into generative AI. The claim of writing "entire code without a single line" can be misleading, as guidance is still required. It's considered ideal for beginners and intermediate users but potentially too basic for experienced AI engineers.

Primarily teaches GitHub Copilot, not broad generative AI concepts.

"It felt more like a tutorial on using Copilot rather than truly understanding generative AI in programming."

"The course focuses almost exclusively on GitHub Copilot, which is fine, but it barely touches upon other generative AI tools."

"It's not a deep dive into AI theory, but it successfully teaches you how to *use* generative AI tools in practice."

Instructor provides clear and concise guidance.

"The instructor was clear, and the demos were spot-on."

"The instructor's guidance was clear and concise."

Excellent for learning practical application of generative AI tools.

"The hands-on examples were very helpful. I liked how they showed how to use Copilot to generate code and complete tasks efficiently."

"The practical approach to using GitHub Copilot to implement an entire ML project was brilliant. It really opened my eyes to the potential of AI assistants."

"I appreciated the focus on practical application. The course showed useful strategies for interacting with the AI."

"The hands-on labs were superb, giving me real confidence in using GitHub Copilot for complex coding tasks."

Some explanations can feel rushed, especially for complex topics.

"My only minor gripe is that sometimes the explanations felt a bit rushed, especially for more complex concepts."

The promise of no-code is exaggerated; guidance is still required.

"The 'implement entire code without writing a single line' claim is a bit exaggerated, but it certainly streamlines the process."

"The 'entire code without writing a single line' promise is misleading; you still need to guide and correct Copilot significantly."

Ideal for developers new to generative AI, too basic for experts.

"It's strictly for beginners, which wasn't clear enough from the description."

"I was disappointed. The course felt too basic for my needs as an experienced AI engineer."

"The course is okay if you're a complete novice, but I expected more."

"Good course for beginners to intermediate. It effectively demonstrates the power of GitHub Copilot."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Programming with Generative AI with these activities:

Review Python basics

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Brush up on the fundamentals of Python, including data types, control flow, and functions, to ensure a strong foundation for this course.

Browse courses on Python Basics

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Review online tutorials or documentation on Python basics.
Complete practice exercises or code challenges to reinforce your understanding.

Share your GitHub Copilot experiences through blog posts or articles

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Document your journey with GitHub Copilot by creating blog posts or articles, sharing your experiences, insights, and tips with the broader developer community.

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Reflect on your experiences using GitHub Copilot.
Identify key takeaways and lessons learned.
Write and publish your blog posts or articles on platforms like Medium or Dev.to.

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Career center

Learners who complete Programming with Generative AI will develop knowledge and skills that may be useful to these careers:

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Programming with Generative AI

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What's inside

Syllabus

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Reviews summary

Practical github copilot integration for developers

Activities

Career center

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