This beginner-friendly course explores how Generative AI transforms requirement gathering, analysis, and prioritization in software development. Learn the core processes to capture, structure, and refine user needs into actionable use cases using GenAI-powered tools like Notion AI and Hugging Face Transformers. Gain hands-on experience creating smart questionnaires, generating multilingual requirements, and crafting Software Requirement Specifications (SRS). Understand how GenAI enhances requirement classification, simplifies complex scenarios, and prioritizes customer feedback to drive maximum impact. Real-world demos, including healthcare and enterprise use cases, bring concepts to life.

Requirement Gathering and Analysis with GenAI Training

Requirement Gathering and Analysis with GenAI Training
This course is part of AI-Powered Software Development Certification Specialization

Instructor: Priyanka Mehta
Access provided by Xavier School of Management, XLRI
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
5 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Understand the core process of requirement gathering and analysis
Apply GenAI to generate smart, context-aware questionnaires
Translate user needs into actionable use cases with precision
Use AI tools for localization and multilingual requirement support
Skills you'll gain
Tools you'll learn
Details to know

Shareable certificate
Add to your LinkedIn profile
Assessments
9 assignments
Taught in English
See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise
This course is part of the AI-Powered Software Development Certification Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- 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

There are 3 modules in this course
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