Computer Vision and Image Recognition Applications Course

Master computer vision, image recognition, detection and segmentation, with rigorous evaluation, transfer learning and responsible deployment.

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Training Locations

This Computer Vision and Image Recognition Applications 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

Computer vision enables organisations to inspect products, interpret scenes, recognise objects and analyse images at operational scale. Successful applications depend on more than model accuracy: camera conditions, annotation quality, rare events, spatial errors and deployment hardware all influence whether a system performs reliably outside the laboratory.

This five-day course develops practical competence in image recognition and computer-vision solution design. Participants will work with image processing, convolutional networks, detection, segmentation and transfer learning; evaluate models using task-specific measures; and plan edge or cloud deployment. Applied exercises connect technical methods to realistic inspection, recognition and monitoring requirements.

Objectives

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

Formulate classification, detection and segmentation problems.
Design representative visual datasets and annotations.
Apply image processing and convolutional networks.
Build recognition, detection and segmentation workflows.
Use transfer learning and valid augmentation.
Evaluate accuracy, robustness and spatial performance.
Plan efficient edge or cloud inference.
Address privacy, safety and human oversight.

Course Content

Day 1: Vision Problems and Imaging Data

Computer-vision tasks and applications
Pixels, colour, resolution and noise
Camera and lighting conditions
Classification, detection and segmentation labels
Dataset sampling and annotation quality
Vision-problem design workshop

Day 2: Image Processing and Convolutional Networks

Filtering, edges and morphological operations
Classical visual-feature baselines
Convolution, pooling and receptive fields
Feature hierarchies and residual networks
Training and regularisation strategies
Image-classification laboratory

Day 3: Detection, Segmentation and Tracking

One-stage and two-stage detection
Bounding boxes and confidence thresholds
Semantic and instance segmentation
Object tracking and association
Vision transformers and multimodal models
Detection or segmentation laboratory

Day 4: Transfer Learning and Model Evaluation

Pretrained backbones and fine-tuning
Image augmentation and label validity
Precision, recall, IoU and mAP
Class and environment error analysis
Robustness to noise and occlusion
Visual-model evidence review

Day 5: Production Vision Systems

Edge, cloud and hybrid deployment
Latency, throughput and model optimisation
Input quality and drift monitoring
Security and camera-integrity risks
Privacy, fairness and human review
Capstone vision-solution design

Training Schedule

Below is the table of cities along with the respective dates for the upcoming training sessions of Computer Vision and Image Recognition Applications 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.