Multi Modal AI Combining Vision Text and Audio Course

Master multimodal AI with vision, text and audio, including representation, fusion, cross-attention, evaluation and robust deployment.

Artificial Intelligence and Machine Learning Courses Confirmed

Training Locations

This Multi Modal AI Combining Vision Text and Audio 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

Multimodal AI combines vision, text, audio and structured signals to interpret richer situations than any single modality can provide. Effective systems must align information collected at different times and scales, learn compatible representations and remain reliable when a modality is missing, noisy or contradictory.

This five-day course develops practical competence in multimodal AI design. Participants will work with modality-specific encoders, fusion strategies, contrastive learning, cross-attention and vision–language architectures; evaluate integrated behaviour; and design controlled deployment. The course focuses on useful applications such as retrieval, document intelligence, media analysis and interactive assistance.

Objectives

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

Define multimodal tasks and data requirements.
Align visual, textual and audio observations.
Build shared and modality-specific representations.
Apply early, late and attention-based fusion.
Adapt pretrained multimodal models.
Evaluate cross-modal performance and failure.
Manage missing, conflicting and sensitive modalities.
Design a deployable multimodal-AI solution.

Course Content

Day 1: Multimodal Data and Representation

Vision, text and audio characteristics
Temporal and semantic alignment
Modality-specific encoders
Shared embedding spaces
Missing and incomplete modalities
Multimodal-use-case workshop

Day 2: Fusion and Cross-Modal Learning

Early and late fusion
Intermediate feature fusion
Cross-attention mechanisms
Contrastive representation learning
Cross-modal retrieval
Fusion-strategy laboratory

Day 3: Multimodal Architectures and Applications

Vision–language model architecture
Audio–text and speech–vision integration
Captioning and visual question answering
Multimodal search and document intelligence
Multimodal generation
Application-prototype laboratory

Day 4: Training and Evaluation

Paired data and annotation design
Pretraining and fine-tuning strategies
Modality imbalance and shortcut learning
Cross-modal evaluation metrics
Ablation and contribution analysis
Multimodal error-analysis exercise

Day 5: Robust and Responsible Deployment

Inference orchestration and latency
Noisy and contradictory inputs
Media manipulation and security
Privacy and biometric considerations
Quality and modality-drift monitoring
Capstone multimodal-system design

Training Schedule

Below is the table of cities along with the respective dates for the upcoming training sessions of Multi Modal AI Combining Vision Text and Audio 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.