GenAI for Software Engineering Teams
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GenAI for Software Engineering Teams
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What you'll learn
Develop an understanding of GenAI tools and strategies for using them to increase team collaboration & efficiency within software engineering teams.
Utilize GenAI tools to refine software development processes and enhance project outcomes.
Master a framework for staying ahead of GenAI advancements in the field of software engineering.
Skills you'll gain
Tools you'll learn
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There is 1 module in this course
"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.
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.
What's included
4 videos7 readings1 assignment1 peer review
4 videosβ’Total 22 minutes
- Introduction to GenAI for Software Engineersβ’9 minutes
- The GenAI Future-Ready Framework for Software Engineersβ’5 minutes
- Ethical Concerns and Remediating Risksβ’5 minutes
- Closing Thoughts: Whatβs Next?β’3 minutes
7 readingsβ’Total 65 minutes
- Our Roadmap & Resources Available: How to Get Startedβ’5 minutes
- General Resources on GenAI for Software Engineering Teamsβ’10 minutes
- Demo for Code Review using Codacyβ’10 minutes
- Collaborative Strategies with GenAIβ’10 minutes
- GenAI in Project Managementβ’10 minutes
- GenAI for Boosting Creativity & Communicationβ’10 minutes
- Best Practices for Protecting Against Plagiarismβ’10 minutes
1 assignmentβ’Total 20 minutes
- GenAI for Software Engineering Teamβ’20 minutes
1 peer reviewβ’Total 15 minutes
- Practice Project for Software Engineersβ’15 minutes
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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 purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you canβt afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, youβll find a link to apply on the description page.
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ΒΉ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.
