How to Elicit, Write, and Analyze Requirements in the AI Era

Overview

In the rapidly evolving world of business analysis, the shadow of AI looms large, threatening to redefine or even replace traditional roles. Are you equipped to face this challenge, or will you be left behind?

Syllabus

• Course Introduction
Overview of AI Impact on Business Analysis
Course Objectives and Expectations
• Fundamentals of Requirements Engineering
Definition and Importance of Requirements
Traditional vs. Modern Requirements Gathering
• Understanding AI Technologies
Key AI Concepts: Machine Learning, NLP, Neural Networks
Current Trends in AI and Implications for Business Analysis
• Eliciting Requirements in the AI Era
Techniques for Requirements Elicitation
AI Tools for Facilitating Requirements Gathering
• Writing Effective Requirements
Characteristics of Well-Written Requirements
Using AI Tools to Aid in Requirements Documentation
• Analyzing and Validating Requirements with AI
Methods for Analyzing Requirements
AI Techniques for Requirements Validation and Verification
• Case Studies
Successful AI-Driven Requirements Projects
Lessons Learned from Industry Examples
• Ethical Considerations in AI Requirements
Understanding Bias and Fairness in AI Systems
Strategies for Ensuring Ethical AI Requirements
• Future Trends in Requirements Engineering with AI
Emerging Tools and Techniques
Preparing for Future Challenges and Opportunities
• Course Conclusion
Review of Key Learnings
Final Thoughts and Next Steps
• Supplemental Resources
Recommended Readings
Tools and Online Platforms for Further Learning

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Taught by

Tom and Angela Hathaway

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Subjects

Business