Introduction to Generative AI for Software Development
DeepLearning.AI · View on Coursera ↗
Taught by Laurence Moroney
Computer ScienceData Science
About the course
This course is designed to enhance your skills by integrating AI chatbots as pair programmers in your development process. You’ll learn about how large language models (LLMs) work and how this general-purpose technology can be applied to common software development tasks to help boost productivity, creativity, and support you in your tasks as a developer. By the end of this course, you will be able to: - Understand the differences between machine learning and traditional software development -
The dissent
The most-upvoted critical review (7 votes, 2.0★).
“Probably you as software engineer that already is using some AI chatbot know 90% of the content. Examples are on arrays, linked lists... It is missing the use of integrated AI in the IDE, to automate and skip the copy-paste. It is missing how to use AI for legacy code.”
Coursera's 4.6 comes from 671 ratings. Of those, 5.8% are 1–2★.
Starisk reads the reviews learners voted most helpful, and weights each by the square root of its votes: a review with 80 upvotes counts about five times one with 2. Unvoted reviews are not skipped out of laziness — by this model they carry no evidence that other students endorsed them.
That measures what the most-endorsed reviews say, not “true quality.” The rating distribution above is the whole population, so you can see the sample next to it.
Reviews read on 23 Oct 2026.Read them on Coursera ↗