Course Breakdown

3 Intense Days
7 Hours per Day (Split into two 3.5-hour sessions)
Total: 21 Hours

Learning Path Visual

Here’s your journey from AI novice to business strategist:

• Day 1: AI Foundations & Ecosystem — Core AI concepts, evolution, and applications in business contexts.

• Day 2: AI Applications & Analytics — Machine learning, NLP, predictive analytics, and hands-on with AI tools.

• Day 3: AI Strategy, Ethics & Projects — Implementation, compliance, risk, and final business case project.

Course Overview

Artificial Intelligence in Business blends theory with hands-on practice to show how AI transforms decision-making, customer engagement, and operational efficiency.

In just 3 days, you’ll explore the foundations of AI, practice using accessible machine learning and business intelligence tools, and analyze real case studies in finance, marketing, and supply chain management. You’ll also address ethical, regulatory, and strategic considerations while developing a final AI-driven business strategy project.

Whether you’re preparing for a career in IT, management, or entrepreneurship, this course equips you with immediately applicable AI knowledge and skills.

What’s Inside Each Day

Day 1: AI Foundations & Ecosystem

• Explore AI concepts, history, and role in business.

• Understand supervised/unsupervised learning basics.

• Learn how AI enhances decision-making and customer touchpoints.

• Framework: Concepts ➔ Applications ➔ Impact

Day 2: AI Applications & Analytics

• Dive into NLP, chatbots, and customer engagement.

• Apply predictive analytics to finance and operations.

• Hands-on: AI-powered dashboards, visualization tools.

Day 3: AI Strategy, Ethics & Projects

• Explore governance, compliance (AI Act, GDPR), and bias in AI.

• Case studies: AI in finance, supply chain, and risk management.

• Final project: Present an AI business adoption strategy.

Course Goals

By the end of this program, you’ll be able to:

• Explain fundamental AI concepts and their business applications.

• Apply machine learning and NLP in real business use cases.

• Use predictive analytics and visualization tools for insights.

• Evaluate ethical, regulatory, and compliance considerations in AI.

• Deliver a final AI strategy project integrating business and technical skills.

Who Should Take This Course?

This course is perfect for:

• Business and IT students seeking hands-on AI skills.

• Professionals aiming to integrate AI into marketing, finance, or operations.

• Entrepreneurs exploring AI adoption for competitive advantage.

• Career changers moving into digital and AI-driven fields.

Class reference: DSCI 220
Form Updated on: 30/09/2025 (Version 1)
Last Modified on: 30/09/2025

Program Information:
This program is continuously updated to reflect the latest AI tools, business applications, and regulatory frameworks.

Brief pédagogique en français

DSCI 220 – Intelligence artificielle in Business est présenté ici en version synthétique française afin que les équipes pédagogiques puissent évaluer rapidement l'intérêt du module.

Le module s'inscrit dans la famille Analytics et intelligence artificielle. Il peut être adapté au calendrier de l'école, au niveau Tous niveaux, au volume horaire 21 h et aux modalités d'évaluation prévues.

Objectif d'intervention

Ce module vise à relier les outils data, IA et automatisation à des usages professionnels concrets.

Livrables et activités possibles

• cas d'usage, prompts, scénarios d'automatisation ou analyses data
• évaluation critique des résultats, limites et risques
• communication claire des choix techniques et business

Adaptation école

LC peut ajuster le déroulé, la langue d'enseignement, les supports, les exercices et les critères d'évaluation selon la promotion, le diplôme, le niveau d'autonomie attendu et les contraintes de planning.

Pour une version détaillée du syllabus en français, LC confirme le programme final après cadrage du niveau, des heures, du calendrier et des livrables attendus.