AI for Business Analysts: Requirements, Data & Delivery

Use ChatGPT, Claude & Copilot to write requirements, analyze data, and 10x your BA workflow — no coding.

This course contains the use of artificial intelligence.

What you’ll learn

  • Apply prompt engineering to BA tasks.
  • Elicit and validate requirements with AI.
  • Generate user stories, BRDs, and process models.
  • Analyze datasets and write executive summaries.
  • Build personas, journey maps, and decks.
  • Use AI responsibly and verify outputs.

Course Content

  • Introduction & Course Roadmap –> 4 lectures • 32min.
  • Generative AI Foundations for BAs –> 5 lectures • 39min.
  • Prompt Engineering for Business Analysis –> 8 lectures • 57min.
  • Requirements Elicitation & Discovery –> 7 lectures • 46min.
  • Documentation & Modeling –> 8 lectures • 1hr 1min.
  • Data Analysis Without Code –> 8 lectures • 50min.
  • Stakeholder Communication & Delivery –> 5 lectures • 40min.
  • Responsible & Enterprise-Ready AI –> 6 lectures • 47min.
  • Capstone & Next Steps –> 5 lectures • 27min.

AI for Business Analysts: Requirements, Data & Delivery

Requirements

This course contains the use of artificial intelligence.

Turn AI from a novelty into your most reliable BA tool.

Business analysts are expected to do more, faster — turn rambling meetings into requirements, spreadsheets into insight, and raw findings into board-ready decks. Generative AI can compress that work dramatically, but only if you use it with discipline. This course teaches exactly that.

Across nine hands-on sections you’ll apply ChatGPT, Claude, and Copilot to the real business-analysis lifecycle — elicitation, documentation, modeling, data analysis, and stakeholder communication — using one consistent case study, NovaBridge Solutions, so every skill builds on the last. Every technique is shown, not just described: you’ll watch genuine ChatGPT sessions produce real analysis, and practice on downloadable datasets, transcripts, and worked solutions.

Crucially, you’ll learn the judgment that separates an AI-augmented professional from someone who pastes and hopes: keeping evidence separate from assumptions, refusing to let AI resolve conflicts nobody resolved, verifying every number that drives a decision, and protecting sensitive data. By the end you’ll own a repeatable, defensible way of working, plus a personal prompt library, template pack, and 30-day habit plan.

You’ll finish with five hands-on labs, a full end-to-end capstone project, a final practice exam, and downloadable resources you can put to work on Monday morning. Whether you are a working analyst, a product owner, or moving into analysis, this course gives you a genuine, immediately applicable edge that compounds with every project you touch. Enroll now and start building your AI-augmented practice today.

Get Tutorial