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AI for Business Analysts - The Complete Course
Bestseller
Role Play
Rating: 4.4 out of 5(776 ratings)
4,245 students

AI for Business Analysts - The Complete Course

Future-Proof Your Business Analysis Career with AI Skills in Requirements, Process Modeling, Data Analytics, Comms, more
Created byGeorgi Smarts
Last updated 6/2026
English

What you'll learn

  • Use AI tools for requirements gathering, elicitation, and stakeholder interviews
  • Create workflows, process maps, and prototypes with AI assistance
  • Use AI-driven analytics and visualization tools to uncover trends and support decision-making
  • Generate and polish BRDs, user stories, and meeting summaries faster with AI
  • Summarize conversations, write clearer stakeholder updates, and translate technical results into business language
  • Recognize AI’s risks (bias, fairness, data privacy) and apply best practices for responsible use
  • Position yourself as AI-savvy BA who can guide organizations through digital transformation

Course content

11 sections52 lectures4h 43m total length
  • Introduction2:25
  • How to get the most out of this course1:52

Requirements

  • Basic understanding of the Business Analyst role (requirements gathering, process analysis, stakeholder engagement)

Description

This course contains the use of artificial intelligence.

AI isn’t just a buzzword anymore, it’s becoming part of how we do business every day.

For Business Analysts, that means the role is evolving. The way you gather requirements, analyze processes, document findings, and communicate with stakeholders can all be faster and more effective with the right AI tools.

This course is designed to show you how to make AI your productivity partner, not a replacement.

I will walk you through practical, real-world examples of how BAs can use AI at every stage of their work. You’ll see how tools like ChatGPT and Perplexity can help brainstorm requirements or polish stakeholder communications, how Lucidchart AI can generate process diagrams, and how Power BI Copilot and ThoughtSpot can turn raw data into insights you can use in decision-making. We’ll also cover meeting tools like Fireflies that make sure no detail gets lost in conversations.

But it’s not all about shiny tools. We’ll spend time talking about the limitations of AI - issues like bias, fairness, data quality, and transparency. These are critical areas where BAs play a huge role in ensuring that what AI produces is reliable, ethical, and aligned with business needs. You’ll learn simple ways to check AI outputs, validate assumptions, and explain AI-driven insights to stakeholders who may be skeptical or cautious.

By the end of the course, you’ll be able to confidently:

  • Apply AI to speed up and improve requirements gathering, process modeling, and documentation

  • Use AI-driven analytics and visualization tools to uncover patterns and insights

  • Communicate clearly and effectively with stakeholders using AI assistance

  • Recognize the risks of AI and know how to mitigate them

  • Position yourself as an AI-savvy Business Analyst who adds strategic value to projects

This course is for both aspiring and experienced Business Analysts who want to stay relevant in an AI-driven workplace.

It’s also a great fit for project managers, product owners, and consultants who often wear the BA hat. No coding or technical background is required — just curiosity and a willingness to experiment with new ways of working.

“this course contains a promotion.”

Who this course is for:

  • Practicing Business Analysts
  • Aspiring Business Analysts / Students
  • Project Managers & Product Owners
  • Consultants & Business Leaders
  • Anyone curious about AI in business