B9372 - ARTIFICIAL INTELLIGENCE FOR BUSINESS

Learning outcomes

By the end of this course students are able to: • know the basic technological fundamentals of AI; • design an AI strategy; • implement an AI strategy; • envision business implications and opportunities stemming from AI; • know trends emerging in the field of AI.

Course contents

This course aims to give students a comprehensive, hands‑on understanding of how Artificial Intelligence (AI) can power real‑world business transformations. By exploring core AI concepts—from generative models to advanced business use cases—participants will develop the ability to integrate AI into existing strategies, optimize workflows, and ensure compliance with regulatory frameworks. Students will learn how to evaluate business models, estimate costs and revenues, and refine proofs of concept for production‑ready implementations. They will also discover how AI can serve as a “co‑strategist,” enhancing collaboration and decision‑making throughout an organization. Ultimately, the objectives of this course are to equip students with the essential knowledge, tools, and confidence to operate as forward‑thinking, AI‑savvy professionals.

It is structured as follows:

Lesson 1

• Date & Time: Monday, April 7 (16:00–19:00)
• Topic: Week 1, Monday – Program Launch & Orientation + AI Imperative for Every Business

Lesson 2

• Date & Time: Thursday, April 10 (09:00–12:00)
• Topic: Week 1, Thursday – Generative AI 101

Lesson 3

• Date & Time: Monday, April 14 (16:00–19:00)
• Topic: Week 2, Monday – Discover AI Use Cases (Part 1)

Lesson 4

• Date & Time: Monday, April 28 (16:00–19:00)
• Topic: Week 2, Thursday – Discover AI Use Cases (Part 2)

(No class on Monday, April 21 – Easter Monday)
(No class on Thursday, April 24 – skipped)

Lesson 5

• Date & Time: Monday, May 5 (16:00–19:00)
• Topic: Week 3, Monday – AI Business Models + Cost and Revenue

(No class on Thursday, May 1 – Labor Day)

Lesson 6

• Date & Time: Thursday, May 8 (09:00–12:00)
• Topic: Week 3, Thursday – Unlock Your AI Co‑Strategist

Lesson 7

• Date & Time: Monday, May 12 (16:00–19:00)
• Topic: Week 4, Monday – Improve Workflows with AI

Lesson 8

• Date & Time: Thursday, May 15 (09:00–12:00)
• Topic: Week 4, Thursday – AI Act, Privacy, and Compliance in Europe

Lesson 9

• Date & Time: Monday, May 19 (16:00–19:00)
• Topic: Week 5, Monday – Polish Your Project: From POC to Production

 

Lesson 10

• Date & Time: Thursday, May 22 (09:00–12:00)
• Topic: Week 5, Thursday – Transform into an AI‑Savvy Professional

Readings/Bibliography

Lecture notes

Attending class, taking notes, and asking questions is the best way to learn. In class we will provide lots of examples that will be portrayed in the lecture notes.

Teaching methods

Interactive lessons, Exercises and Managerial Talks

Assessment methods

Final individual essay

Teaching tools

lecture notes

Office hours

See the website of Gabriele Pizzi