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Mohan Silaparasetty

"GenAI for Software Engineering Teams" is an intensive one-hour course designed to transform the way software engineering teams operate. This course places a strong emphasis on collaborative methodologies and tools, empowering software engineering teams to enhance cross-functional integration, teamwork, and overall collaboration.

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"GenAI for Software Engineering Teams" is an intensive one-hour course designed to transform the way software engineering teams operate. This course places a strong emphasis on collaborative methodologies and tools, empowering software engineering teams to enhance cross-functional integration, teamwork, and overall collaboration.

This course is tailored for software engineers, developers, project managers, and other professionals involved in software development within an organization. It is ideal for individuals looking to enhance their collaborative skills, leverage AI tools for improved project outcomes, and address ethical considerations related to AI integration in software development.

While not mandatory, having a basic understanding of software development principles and practices, familiarity with project management methodologies (e.g., Agile, Scrum), and comfort with using collaborative tools and platforms will help participants make the most of the course content and discussions.

Additionally, the course covers essential topics related to the ethical use of AI and the challenges of incorporating advanced AI tools into existing software development workflows. By the end of the course, participants will understand how to effectively implement GenAI within their software engineering functions to meet organizational objectives.

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What's inside

Syllabus

GenAI for Software Engineering Team
This course places a strong emphasis on collaborative methodologies and tools, empowering software engineering teams to enhance cross-functional integration, teamwork, and overall collaboration. The course is structured to cover a wide array of GenAI tools that cater to various software engineering requirements, emphasizing integration and interoperability.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Focuses on collaborative methodologies and tools
Tailored for software engineers, developers, project managers, and others in software development
Develops skills in using AI tools to improve project outcomes
Covers ethical considerations of AI integration in software development
Suitable for individuals with a basic understanding of software development principles and practices

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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 GenAI for Software Engineering Teams with these activities:
Develop a software project plan
Creating a software project plan will help you define the scope of your project, identify dependencies, and establish a timeline for completion.
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  • Define the scope of your project
  • Identify dependencies
  • Estimate the time and resources required to complete each task
  • Create a project timeline
  • Review and revise your project plan as needed
Review "Continuous Delivery and DevOps" by Jez Humble
Reviewing this book will provide you with a solid foundation in Continuous Delivery and DevOps practices, which are essential for effective software engineering team collaboration.
Show steps
  • Read the book cover-to-cover
  • Take notes on key concepts and practices
  • Discuss the book with other software engineering team members
Complete the "Git for Software Engineers" tutorial series on Coursera
This tutorial series will provide you with hands-on experience with Git, a version control system that is essential for collaborative software development.
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  • Watch the tutorial videos
  • Complete the practice exercises
  • Set up a Git repository for your own software project
Five other activities
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Practice using Jira for issue tracking
Practicing with Jira will familiarize you with a widely used issue tracking tool that can help you manage and track software engineering projects.
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  • Create a Jira account and project
  • Create and manage issues
  • Use Jira to track your progress and collaborate with other team members
Attend weekly peer review sessions
Regular peer review sessions will provide you with valuable feedback on your software engineering work and help you improve your collaboration skills.
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  • Schedule regular peer review sessions with other software engineers
  • Present your work to the group for review
  • Provide feedback to other group members
Attend a workshop on agile software development
Attending a workshop on agile software development will provide you with hands-on experience with agile practices and help you understand how to apply them in your own software engineering projects.
Show steps
  • Register for an agile software development workshop
  • Attend the workshop and participate in the exercises and discussions
  • Apply what you learned in the workshop to your own software engineering work
Create a blog post or article on a software engineering topic
Creating a blog post or article on a software engineering topic will help you solidify your understanding of a particular topic and share your knowledge with others.
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  • Choose a software engineering topic to write about
  • Research the topic thoroughly
  • Write a blog post or article that is clear, concise, and informative
  • Publish your blog post or article online
Contribute to an open-source software project
Contributing to an open-source software project will provide you with hands-on experience with collaborative software development and help you build your portfolio.
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  • Find an open-source software project that you are interested in
  • Review the project's documentation and code
  • Identify an area where you can contribute
  • Submit a pull request with your contribution

Career center

Learners who complete GenAI for Software Engineering Teams will develop knowledge and skills that may be useful to these careers:

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