Applied Machine Learning for Business Decision Making Course

Apply machine learning to business decisions through use-case design, data assessment, model evaluation and measurable implementation planning.

Artificial Intelligence and Machine Learning Courses Confirmed

Training Locations

This Applied Machine Learning for Business Decision Making Course is available in multiple cities. Please select your preferred location from the list below

Durrës

Albania

Tirana

Albania

Andorra la Vella

Andorra

Escaldes-Engordany

Andorra

Innsbruck

Austria

Salzburg

Austria

Vienna

Austria

Gomel

Belarus

Minsk

Belarus

Antwerp

Belgium

Brussels

Belgium

Banja Luka

Bosnia and Herzegovina

Sarajevo

Bosnia and Herzegovina

Plovdiv

Bulgaria

Sofia

Bulgaria

Dubrovnik

Croatia

Split

Croatia

Zagreb

Croatia

Limassol

Cyprus

Nicosia

Cyprus

Brno

Czech Republic

Prague

Czech Republic

Aarhus

Denmark

Copenhagen

Denmark

Tallinn

Estonia

Tartu

Estonia

Helsinki

Finland

Tampere

Finland

Lyon

France

Marseille

France

Nice

France

Paris

France

Berlin

Germany

Frankfurt

Germany

Hamburg

Germany

Munich

Germany

Athens

Greece

Thessaloniki

Greece

Budapest

Hungary

Debrecen

Hungary

Akureyri

Iceland

Reykjavík

Iceland

Cork

Ireland

Dublin

Ireland

Florence

Italy

Milan

Italy

Naples

Italy

Rome

Italy

Pristina

Kosovo

Prizren

Kosovo

Liepāja

Latvia

Riga

Latvia

Schaan

Liechtenstein

Vaduz

Liechtenstein

Kaunas

Lithuania

Vilnius

Lithuania

Esch-sur-Alzette

Luxembourg

Luxembourg City

Luxembourg

St. Julian's

Malta

Valletta

Malta

Bălți

Moldova

Chișinău

Moldova

La Condamine

Monaco

Monte Carlo

Monaco

Budva

Montenegro

Podgorica

Montenegro

Amsterdam

Netherlands

Rotterdam

Netherlands

The Hague

Netherlands

Ohrid

North Macedonia

Skopje

North Macedonia

Bergen

Norway

Oslo

Norway

Gdańsk

Poland

Kraków

Poland

Warsaw

Poland

Faro

Portugal

Lisbon

Portugal

Porto

Portugal

Bucharest

Romania

Cluj-Napoca

Romania

City of San Marino

San Marino

Serravalle

San Marino

Belgrade

Serbia

Novi Sad

Serbia

Singapore

Bratislava

Slovakia

Košice

Slovakia

Bled

Slovenia

Ljubljana

Slovenia

Barcelona

Spain

Madrid

Spain

Valencia

Spain

Gothenburg

Sweden

Stockholm

Sweden

Bern

Switzerland

Geneva

Switzerland

Zurich

Switzerland

Kyiv

Ukraine

Lviv

Ukraine

Odesa

Ukraine

Dubai

United Arab Emirates

Birmingham

United Kingdom

Edinburgh

United Kingdom

London

United Kingdom

Manchester

United Kingdom

Rome (Vatican-adjacent)

Vatican City

Training Outlines

Introduction

Machine learning is commercially valuable only when it improves a real decision. Organisations often invest in models before defining who will use the output, what action will change and how success will be measured. Business professionals need enough analytical competence to frame appropriate use cases, challenge model evidence and connect predictions to operational and financial outcomes.

This five-day course provides an applied, decision-focused approach to machine learning for managers, analysts and functional specialists. Participants will evaluate data readiness, compare common model types, interpret performance and design practical implementation plans. Technical concepts are explained through business cases and structured exercises rather than unnecessary mathematical complexity.

Objectives

By the end of this course, participants will be able to:

Identify business decisions suitable for machine learning.
Translate management questions into analytical tasks.
Assess data quality, relevance and risk.
Compare common predictive and descriptive models.
Interpret model metrics and error consequences.
Challenge model explanations and hidden assumptions.
Connect model performance to measurable value.
Develop a practical machine-learning adoption plan.

Course Content

Day 1: Framing Business Decisions for Machine Learning

Decisions, predictions and business actions
Regression, classification and segmentation use cases
Decision owners and affected stakeholders
Operational and financial success measures
Value, feasibility and risk screening
Business use-case framing workshop

Day 2: Data Readiness and Evidence

Data sources and decision relevance
Target definitions and prediction timing
Quality, missingness and representativeness
Training and evaluation data
Leakage, bias and privacy risks
Data-readiness assessment exercise

Day 3: Machine-Learning Methods for Business

Linear and logistic models
Decision trees and ensemble methods
Clustering and customer segmentation
Anomaly detection and risk identification
Forecasting and recommendation applications
Model-selection case laboratory

Day 4: Performance and Decision Interpretation

Accuracy, precision, recall and error costs
Thresholds and operational capacity
Model interpretation and feature influence
Segment performance and fairness
Scenario testing and management challenge
Executive model-review exercise

Day 5: Implementation and Value Realisation

Workflow integration and human oversight
Pilots, experiments and adoption evidence
Performance and outcome monitoring
Change management and user capability
Business cases and benefits tracking
Capstone decision-improvement proposal

Training Schedule

Below is the table of cities along with the respective dates for the upcoming training sessions of Applied Machine Learning for Business Decision Making Course. Please review the schedule to find the most convenient option for you. You can also use the below search bar to type the city name and filter the results.