Multi Modal AI Combining Vision Text and Audio Course

Explore multi-modal AI by integrating vision, text, and audio. Enhance your skills in developing comprehensive models for diverse applications.

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

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

In the rapidly evolving field of artificial intelligence, leveraging multiple data modalities is becoming increasingly vital for building comprehensive and efficient AI systems. This professional course, "Multi Modal AI Combining Vision, Text, and Audio," aims to equip participants with the knowledge and skills necessary to integrate these different modalities to create robust AI applications. Through a combination of theoretical insights and practical exercises, attendees will explore advanced techniques and state-of-the-art models that underpin multi-modal AI systems.

Objectives

Understand the fundamentals of multi-modal AI and its applications.
Learn to integrate vision, text, and audio data for AI development.
Explore state-of-the-art models and techniques in multi-modal AI.
Develop hands-on skills through practical projects and exercises.
Apply multi-modal AI techniques to real-world problems and scenarios.

Course Outlines

Day 1: Introduction to Multi-Modal AI

Overview of multi-modal AI and its significance.
Understanding the synergy between vision, text, and audio modalities.
Introduction to key concepts and terminologies.
Exploring real-world applications and use cases.
Setting up the development environment for the course.

Day 2: Multi-Modal Data Acquisition and Preprocessing

Techniques for data acquisition from various sources.
Preprocessing techniques for vision, text, and audio data.
Data annotation and labeling for training multi-modal models.
Challenges in handling diverse data types and resolutions.
Hands-on session: Preparing a multi-modal dataset.

Day 3: Model Architectures for Multi-Modal AI

Overview of multi-modal neural network architectures.
Exploring attention mechanisms in multi-modal contexts.
Combining convolutional and recurrent networks for multi-modality.
Case study analysis of popular multi-modal models.
Hands-on session: Building a simple multi-modal model.

Day 4: Training and Evaluation of Multi-Modal Models

Strategies for effectively training multi-modal models.
Cross-modal learning and feature fusion techniques.
Evaluation metrics for multi-modal AI systems.
Overcoming common challenges in model training and optimization.
Hands-on session: Training a multi-modal AI model.

Day 5: Applications and Future Trends in Multi-Modal AI

Exploring current and emerging applications of multi-modal AI.
Innovative trends and future directions in the field.
Ethical considerations and challenges in multi-modal AI.
Building a capstone project utilizing vision, text, and audio.
Course review and participant presentations of final projects.

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.