AI Business Analyst: Finding AI Opportunities

Translate business problems into AI use cases, write AI requirements and measure the results

New 4.7(298 ratings) 1,190 learners

Taught by Prof. Nikhil Manikandan

Online
Intermediate
English
6 weeks, 4 hrs/week
Updated Oct 2026

What you'll learn

Identify and prioritise AI use cases
Assess data readiness and risks
Write requirements for AI-powered features
Define success metrics and human review steps

Tools you'll use

ChatGPT
Claude
Copilot
Excel

Course content

2 modules, 4 lessons, 1 hr 4 min total

Module 1 — Finding AI use cases2 lessons, 32 min

Finding AI use cases: overviewFree previewReading, 12m
Finding AI use cases: worked exampleReading, 20m

Module 2 — AI requirements & metrics2 lessons, 32 min

AI requirements & metrics: overviewReading, 12m
AI requirements & metrics: worked exampleReading, 20m

Before you start

Basic BA knowledge

About this course

A practical course for analysts who want to work on AI projects. Learn to spot problems AI can solve, assess data readiness, write requirements for AI features and define how success is measured.

Your instructor

Prof. Nikhil Manikandan

Faculty, Business Analytics

Prof. Nikhil Manikandan teaches business analytics, operations management and the future of work. His classes focus on process thinking and on how analysts can use data and AI to improve how organisations run.

Learner reviews

4.7

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Siddharth Rao

30 Sep 2026

Very useful for my current job. I used the BRD template the same week.