Synthetic Data Generation Techniques for AI Course

Master synthetic-data generation for AI, including tabular and unstructured methods, utility testing, privacy evaluation and governance.

Artificial Intelligence and Machine Learning Courses Confirmed

Training Locations

This Synthetic Data Generation Techniques for AI 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

Synthetic data can support AI development when real observations are scarce, sensitive, imbalanced or expensive to label. It can also enable simulation, testing and controlled coverage of rare scenarios. However, generated data is not automatically realistic, private or unbiased; weak synthesis can reproduce disclosure risk, distort important relationships or create misleading model performance.

This five-day course develops practical competence in synthetic-data design and evaluation. Participants will compare statistical, simulation-based and generative methods for tabular, temporal and unstructured data; measure utility and fidelity; assess privacy leakage; and establish governance for responsible use. The course focuses on defensible synthetic data that serves a defined analytical purpose.

Objectives

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

Select appropriate synthetic-data use cases.
Choose statistical, simulation or generative methods.
Generate constrained tabular and temporal data.
Create synthetic image, text and scenario data.
Evaluate fidelity, coverage and downstream utility.
Assess privacy leakage and memorisation risk.
Control bias, provenance and versioning.
Design a governed synthetic-data pipeline.

Course Content

Day 1: Synthetic-Data Strategy and Design

Scarcity, privacy and rare-event use cases
Synthetic, augmented and simulated data
Source population and generation objectives
Utility, fidelity and privacy trade-offs
Risk and governance requirements
Synthetic-data use-case workshop

Day 2: Tabular and Temporal Generation

Rule-based and statistical sampling
Distribution and dependency modelling
Copula-based data synthesis
Tabular GAN and VAE approaches
Temporal sequence generation
Constrained tabular-data laboratory

Day 3: Unstructured Data and Simulation

Image augmentation and generation
Text and language-data synthesis
Audio and sensor simulation
Digital environments and domain randomisation
Automated labels and scenario coverage
Synthetic-scenario design laboratory

Day 4: Quality, Privacy and Bias Evaluation

Statistical fidelity and dependency preservation
Coverage and rare-case representation
Downstream model-utility testing
Membership and attribute-inference risk
Differential privacy considerations
Synthetic-data evaluation review

Day 5: Production Pipelines and Governance

Generation pipelines and reproducibility
Metadata, provenance and labelling
Validation gates and approved uses
Bias and quality monitoring
Versioning and change control
Capstone synthetic-data solution

Training Schedule

Below is the table of cities along with the respective dates for the upcoming training sessions of Synthetic Data Generation Techniques for AI 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.