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URL: https://www.coursera.org/learn/team-software-engineering-with-ai

⇱ Team Software Engineering with AI | Coursera


Team Software Engineering with AI

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Team Software Engineering with AI

19,457 already enrolled

Gain insight into a topic and learn the fundamentals.
4.6

183 reviews

Beginner level

Recommended experience

Flexible schedule
1 week at 10 hours a week
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.6

183 reviews

Beginner level

Recommended experience

Flexible schedule
1 week at 10 hours a week
Learn at your own pace

What you'll learn

  • Leverage LLMs to enhance team collaboration in software development projects

  • Use AI to generate comprehensive tests and clear documentation for your code

  • Manage and debug complex software dependencies with AI assistance

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

6 assignments

Taught in English
94%
Most learners liked this course

Build your Software Development expertise

This course is part of the Generative AI for Software Development Professional Certificate
When you enroll in this course, you'll also be enrolled in this Professional Certificate.
  • 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 from DeepLearning.AI

There are 3 modules in this 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 best practices and language-specific conventions - Use AI to explore and manage software dependencies, including resolving conflicts and addressing security issues - Debug common dependency-related problems with AI as your pair-programmer These skills will enhance your ability to work effectively in development teams, improve code quality, and streamline the software development lifecycle. By learning AI-assisted collaboration techniques, you'll become a more valuable asset to any development team and be better prepared to tackle complex, real-world software engineering challenges.

What's included

10 videos5 readings2 assignments1 programming assignment4 ungraded labs

10 videosTotal 53 minutes
  • Conversation between Laurence Moroney and Andrew Ng4 minutes
  • Module introduction3 minutes
  • Testing and debugging strategies4 minutes
  • Exploratory testing6 minutes
  • Functional testing6 minutes
  • Automated Testing9 minutes
  • Software performance testing5 minutes
  • Security testing4 minutes
  • Flask example walkthough (Optional)6 minutes
  • Analyzing code for security vulnerabilities6 minutes
5 readingsTotal 24 minutes
  • In-video resources1 minute
  • Setting up your Jupyter environment10 minutes
  • Essential reading: Engage directly with our Jupyter and ChatGPT labs2 minutes
  • (Optional) Downloading your Notebook and Refreshing your Workspace10 minutes
  • Join the DeepLearning.AI Forum to ask questions, get support, or share amazing ideas!1 minute
2 assignmentsTotal 30 minutes
  • Quiz 115 minutes
  • Quiz 215 minutes
1 programming assignmentTotal 180 minutes
  • Identifying and Fixing Bugs in Code Using LLMs180 minutes
4 ungraded labsTotal 130 minutes
  • Python environment - To be used alongside with the lectures5 minutes
  • ChatGPT environment - To be used alongside with the lectures5 minutes
  • Flask example Lab (Optional)60 minutes
  • ChatGPT Lab: Support for Your Programming Task60 minutes

What's included

8 videos2 assignments1 ungraded lab

8 videosTotal 37 minutes
  • Module introduction2 minutes
  • Principles of good documentation6 minutes
  • Inline comments6 minutes
  • Documentation comments5 minutes
  • Automated documentation tools5 minutes
  • Autodocs with Sphinx walkthrough (optional)7 minutes
  • Documentation in other coding languages5 minutes
  • Documentation for life in production2 minutes
2 assignmentsTotal 30 minutes
  • Quiz 115 minutes
  • Quiz 215 minutes
1 ungraded labTotal 5 minutes
  • ChatGPT environment - To be used alongside with the lectures5 minutes

What's included

7 videos1 reading2 assignments1 programming assignment2 ungraded labs

7 videosTotal 35 minutes
  • Module introduction7 minutes
  • Virtual environments6 minutes
  • Researching dependencies7 minutes
  • Dependency conflicts4 minutes
  • Dependencies and security7 minutes
  • Dependency management and other programming languages3 minutes
  • Course conclusion1 minute
1 readingTotal 5 minutes
  • Acknowledgments5 minutes
2 assignmentsTotal 30 minutes
  • Quiz 115 minutes
  • Quiz 215 minutes
1 programming assignmentTotal 180 minutes
  • Solving Versioning and Dependency conflicts with an LLM180 minutes
2 ungraded labsTotal 65 minutes
  • ChatGPT environment - To be used alongside with the lectures5 minutes
  • GPT-3.5 Environment for Assignment (to use alongside the programming assignment)60 minutes

Earn a career certificate

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Instructor

Instructor ratings
4.9 (42 ratings)
DeepLearning.AI
22 Courses605,790 learners

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Learner reviews

  • 5 stars

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  • 4 stars

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  • 3 stars

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  • 2 stars

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Showing 3 of 183

FP
·

Reviewed on Nov 12, 2024

Expected the Jupiter Book section to be a little more user-friendly. Particularly it had scrolling issues.

MM
·

Reviewed on Nov 22, 2024

Laurence is exceptional and amazing teacher, above all he's amazing human being for highlighting human errors that he himself faces sometimes. Any course taught by him I follow.

RM
·

Reviewed on Dec 22, 2024

This is an awesome course teach you how to use the AI as your developer partner and no as a tool that do the work for you!

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Financial aid available,