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Master in AI- Powered Business Decision Making
423 students

Master in AI- Powered Business Decision Making

Become a more effective business decision maker by practising complex choices in a real-world simulation
Last updated 7/2026
English
English [Auto],

What you'll learn

  • Diagnose the real business problem by distinguishing symptoms from root causes
  • Practise making connected choices in an evolving real-world business simulation
  • Use critical thinking to question assumptions and separate meaningful signals from noise
  • Use AI as a thinking partner to generate, challenge and validate insights
  • Analyse relevant data and evidence to identify what really drives a business problem
  • Evaluate alternative actions and make complex trade-offs between competing priorities
  • Make decisions under resource constraints using impact, expected outcomes and business value
  • Assess risks, assumptions and uncertainty before committing to a course of action
  • Defend recommendations when stakeholders have conflicting priorities
  • Adapt decisions when new information, competition or market conditions change
  • Build a structured, repeatable approach to making more effective business decisions

Course content

4 sections18 lectures2h 54m total length
  • Welcome9:19

    Who am I and what will you be doing in this course

  • How This Simulation Works8:45

    How will you need to work in this simulation

  • How This Simulation Works
  • What Makes AI Decisions Different8:05

    How Ai decision making is different from human beings

  • What Makes AI Decisions Different

Requirements

  • 3 hours learning time

Description

Can you consistently make better business decisions when the data is incomplete, priorities conflict, resources are limited and the situation suddenly changes?

That is the real test of an effective business decision maker.

This course is designed to help you meet that test.

Become a more effective business decision maker by practising complex choices in a real-world simulation.

Instead of simply learning decision-making frameworks, watching lectures about AI, or studying isolated business cases, you will step into the role of a decision maker facing an evolving business challenge.

You will work through a realistic business situation at ShopEase, where customer retention is declining and the pressure to act is increasing. But the answer will not be handed to you.

You will first need to identify what the real problem is.

Is declining retention the problem itself—or only a symptom? What does the data really tell you? Which signals matter, and which are simply noise? What assumptions should you question before taking action?

At each stage, you will be challenged to think, analyse and make your own choice before comparing your approach with the recommended reasoning.

You will learn to use AI as a thinking partner, not as an answer machine. You will generate and challenge insights, validate assumptions and combine AI-generated analysis with critical thinking, relevant evidence and business judgment.

As the simulation evolves, your decisions become more complex.

You will analyse the business impact of the problem, identify what is really driving it and evaluate alternative courses of action. You will face strategic trade-offs where there is no perfect answer—only choices with different consequences.

You will then work under real business constraints.

Resources are limited. Priorities compete. Different stakeholders have different views. You will need to decide where to invest, what to prioritise and how to justify your recommendation using evidence.

Then the situation changes.

An unexpected market development challenges your assumptions. You will need to reassess the information, reconsider your choices and adapt your strategy—just as effective business decision makers must do in the real world.

This is what makes the course different.

You do not practise one isolated decision. You move through a connected sequence of decisions in an evolving business situation.

Your earlier thinking influences what comes next. New information changes the context. Trade-offs become clearer. Constraints become real. You are repeatedly required to pause, think and decide.

Through this journey, you will practise how to:

  • Diagnose the real problem instead of reacting to symptoms

  • Apply critical thinking and separate meaningful signals from noise

  • Use AI to generate, challenge and validate insights

  • Analyse evidence to identify what truly drives a business problem

  • Evaluate alternatives and make difficult strategic trade-offs

  • Make decisions when resources, information and time are limited

  • Assess risks, assumptions and uncertainty

  • Defend recommendations when stakeholders disagree

  • Adapt decisions when conditions change

By the end of the course, you will not simply know more about business decision making.

You will have practised the thinking process behind it.

You will understand how to move from a complex business challenge to a structured decision by asking better questions, examining the right evidence, challenging assumptions, evaluating consequences and adapting when reality changes.

Whether you are a manager, aspiring leader, business analyst, consultant, entrepreneur, MBA student or professional preparing for greater decision-making responsibility, this course gives you a practical environment to strengthen one of the most valuable capabilities in business:

The ability to make more effective decisions when there is no obvious answer.

If you are ready to go beyond learning about decision making and start practising complex choices in a realistic, evolving business situation, this course is for you.


This Course is Part of a Structured Learning Path

Learning Path: BUSINESS & MANAGEMENT FOUNDATION (MINI MBA PATH) (Starter → Builder → Advanced)

This course is your ADVANCED step.

Next Recommended Courses

After completing this course, continue your growth with:

CAT Examinations Prep (Starter)

MBA / Business Fundamentals (Starter)

AI Essential for MBA Students (Builder)

Finance Fundamentals (Builder)

Operations / SCM (Builder)

Marketing Strategy (Builder)

HRM (Builder)

Crisis Management (Advanced)

Management Case Analysis (Advanced)


Learning Path: ENTREPRENEURSHIP & BUSINESS PATH (Starter → Builder → Advanced)

This course is your BUILDER step.

Next Recommended Courses

After completing this course, continue your growth with:

New Business Development (Starter)

Business Idea Generation (Builder)

Value Proposition (Builder)

Product Design and Development (Builder)

AI for Business Optimization (Advanced)


Learning Path: CONSULTING PATH (Starter → Builder → Advanced)

This course is your BUILDER step.

Next Recommended Courses

After completing this course, continue your growth with:

Guesstimates and Consulting Cases (Starter)

Systems Thinking (Builder)

Game Theory (Builder)

AI for Business Optimization (Advanced)

Who this course is for:

  • Students and freshers who want to build strong decision-making and problem-solving skills
  • Job seekers looking to stand out with data-driven and AI-enabled thinking
  • Working professionals aiming to make better business and career decisions
  • Business analysts, consultants, and managers who want to improve structured thinking
  • Marketing, product, and strategy professionals dealing with real-world business trade-offs
  • Leaders and aspiring leaders who need to make high-impact decisions under uncertainty
  • Anyone who wants to learn how to use AI beyond basic prompting and apply it to real decisions
  • Professionals looking to combine data, AI, and business judgment effectively
  • Learners interested in practical, simulation-based learning rather than theory
  • Individuals who want a structured framework to solve real-world problems confidently