Team Software Engineering with AI

About the course

In this course, you'll elevate your software development skills by learning how to leverage AI in collaborative team environments. You'll discover how to use large language models (LLMs) to streamline testing processes, create comprehensive documentation, and manage complex dependencies. By the end of this course, you will be able to: - Utilize LLMs to generate and implement various types of software tests, from exploratory to security testing - Create clear, useful documentation that follows

The dissent

The most-upvoted critical review (3 votes, 2.0★).

“The course is good, but the assignments made it a rather frustrating experience. Not only frustrating, but I felt that the assignments were not really adding any value to my skillset. I would not recommend someone to pay for the course. It's not "pay worthy". If you can take it for free...sure go for it. Some of my frustrations were - the auto graders don't work half the time: it fails with rather arbitrary errors which makes you waste time trying to solve non-issues. The grader also randomly fails in consecutive submissions for code that was passing in the previous attempt. the unit tests and auto graders are different: you can spend hours trying to get the tests to pass and then the grader fails Assignments are unnecessarily complex, with long and unclear instructions: More than anything else, Module 3 assignment1 basically made me hate LLMs. It was possibly the worst assignment I have ever taken and the value gained out of it was close to zero.. I think DLAI should simplify the course and make it more focussed on real world usage. Sure converting py2 to py3 code is a valid use case, but in the real world we are dealing with millions of lines of code. …”

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