Foundations of Artificial Intelligence and Machine Learning Course

Build practical AI and machine learning expertise, from data preparation and model evaluation to deployment, governance and responsible implementation.

Artificial Intelligence and Machine Learning Courses Confirmed

Training Locations

This Foundations of Artificial Intelligence and Machine Learning 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

Artificial intelligence and machine learning now influence products, operations and executive decisions across almost every sector. Successful adoption requires more than awareness of algorithms: professionals must recognise suitable business problems, assess data readiness, evaluate model evidence and understand the controls needed when AI affects people or critical processes.

This five-day foundation course provides a rigorous but accessible introduction to the complete AI and machine-learning lifecycle. Participants will examine core learning methods, data preparation, model evaluation, deep and generative AI, deployment and responsible governance. Practical exercises connect technical concepts to realistic organisational decisions, enabling participants to engage confidently with technical teams and develop credible AI opportunities.

Objectives

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

Distinguish AI, machine learning, deep learning and generative AI.
Translate business challenges into suitable learning problems.
Assess data quality, relevance and readiness.
Compare supervised and unsupervised learning methods.
Evaluate model performance using appropriate measures.
Recognise overfitting, leakage, bias and uncertainty.
Explain deployment, monitoring and governance requirements.
Develop a practical organisational AI use case.

Course Content

Day 1: AI Foundations and Business Applications

AI, machine learning and deep learning
Rules-based versus learning systems
Prediction, classification and recommendation problems
The machine-learning solution lifecycle
Value, feasibility and risk assessment
AI opportunity-framing workshop

Day 2: Data and Supervised Learning

Data quality and representativeness
Feature preparation and transformation
Training, validation and test data
Regression and classification methods
Performance metrics and error costs
Baseline predictive-model laboratory

Day 3: Unsupervised Learning and Model Improvement

Clustering and customer segmentation
Dimensionality reduction and representation
Anomaly and pattern detection
Overfitting and underfitting diagnosis
Cross-validation and model tuning
Interpretation and error-analysis exercise

Day 4: Deep Learning and Generative AI

Neural-network structure and learning
Vision, language and sequence architectures
Transformers and foundation models
Prompting, retrieval and fine-tuning
Model selection and solution architecture
Generative-AI application design

Day 5: Deployment and Responsible AI

Batch and real-time deployment
MLOps and model version control
Performance and drift monitoring
Fairness, privacy and human oversight
Business cases and adoption planning
Capstone AI implementation proposal

Training Schedule

Below is the table of cities along with the respective dates for the upcoming training sessions of Foundations of Artificial Intelligence and Machine Learning 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.