Raman Kumar

Business Analyst Training Plan

Lesson 1: Introduction to AI and Generative AI for Business Analysts

- Understand what AI, Machine Learning (ML), Deep Learning (DL), and Generative AI (Gen AI) mean in simple terms.

- Learn how Gen AI can help Business Analysts improve requirement gathering, documentation, and stakeholder communication.

- Example: Using AI to convert customer feedback into structured requirements.

Lesson 2: Writing Better Requirements with Gen AI

- Basics of user stories, epics, and acceptance criteria.

- How AI can generate user stories from raw business input.

- Hands-On: Use Gen AI to write and refine user stories based on customer needs.

Lesson 3: Backlog Refinement and Prioritization with AI

- Learn prioritization techniques: RICE, MoSCoW, and Weighted Scoring.

- How AI can automate backlog sorting and help in decision-making.

- Hands-On: Generate prioritized backlog items with AI prompts.

Lesson 4: Stakeholder Communication Using AI

- Use AI to analyze stakeholder feedback through sentiment analysis.

- Automate meeting summaries and create easy-to-understand reports for executives.

- Hands-On: Generate a presentation-ready summary of project requirements using AI.

Lesson 5: Continuous Improvement and Insights for Analysts

- Learn how AI helps in identifying gaps in requirements and documentation.

- Using GenAI to detect missing details or inconsistencies in user stories.

- Hands-On: Apply AI to analyze requirements and suggest improvements.