Open course · 4 modules · 14 chapters

AI applied to management and business

Understand AI, verify its responses and design work that connects data, decisions and results. A practical learning path for professionals, teams and business leaders.

All written content is available. Every chapter includes an explanation, a worked case, practice instructions, an exercise and a commented solution. Study at your own pace without registration.

Start the course

What you will learn

Choose valuable AI tasks, build reviewable instructions, design workflows with clear permissions and evaluate a pilot with your team.

How to study

Read the explanation, complete the exercise before opening the solution and compare your output with the rubric. Follow the sequence or consult individual chapters. The final project integrates the course.

The shared case

Andina Equipos is a fictional industrial solutions business. Its opportunities, notes and commitments let you practice turning scattered information into decisions, ownership and commercial follow-up.

Complete program

Module 01Understand and choose

How models work and where they fail

Understanding the engine helps you ask better questions and decide what to verify.

Is everything that uses AI an agent?

Four different work designs. Choose based on the task rather than the label.

Choose tasks where AI adds value

Start with work worth improving and define how to recognize improvement.

Module 02Work with judgment

AI needs to know what stays and what changes

Organize instructions, history and current state to avoid acting on outdated agreements.

A good prompt makes the decision reviewable

Design instructions around the work and the output that will actually help.

Verify facts, inferences and recommendations

A defensible decision separates knowledge, interpretation and unresolved questions.

Sensitive information, sources and traceability

Analysis quality begins with choosing information and authorized access.

Module 03Design execution

Build an AI workflow

A useful process connects inputs, decisions, owners and evidence of completion.

Connect tools and data

Reading and changing a source require different permissions and checks.

Autonomy is not a switch

Permission to act needs scope, stopping conditions and outcome evidence.

Module 04Apply it to business

Commercial and management applications

AI can prepare decisions while preserving customer relationships and commercial accountability.

Build team capabilities

Adoption creates value when organizational work improves beyond one individual.

Evaluate quality, time, cost and contribution

A convincing demonstration is not a comparison with the work being improved.

Final project: an AI-supported commercial review

Build a workflow that turns records into reviewable decisions and accountable follow-up.

Your final deliverable

An AI-supported commercial review: problem brief, context, workflow, evidenced report, permissions and evaluation. Use an available AI tool or compare with your manual method.

Chapter 14

All case examples and figures are fictional. Study times are estimates.
Editorial review: September 29, 2026