AI for Internet of Things and Smart Devices Course

Master AI for IoT and smart devices, including sensor analytics, edge inference, model optimisation, security and fleet monitoring.

Artificial Intelligence and Machine Learning Courses Confirmed

Training Locations

This AI for Internet of Things and Smart Devices 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

Kuala Lumpur

Malaysia

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

Istanbul

Turkey

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 can transform connected devices from passive data collectors into systems that detect anomalies, anticipate events and respond locally. IoT applications must manage noisy sensor streams, intermittent connectivity, resource-limited hardware and large device fleets. Intelligence must therefore be designed together with communications, security, energy and lifecycle requirements.

This five-day course develops practical competence in AI for IoT and smart devices. Participants will prepare sensor data, engineer temporal features, build predictive and anomaly models, design edge–cloud inference, and establish secure fleet monitoring and updates. The course focuses on realistic industrial, building, mobility and consumer-device applications.

Objectives

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

Design AI-enabled IoT solution architectures.
Prepare reliable sensor and event data.
Engineer temporal and device-health features.
Build anomaly, classification and forecasting models.
Select edge, cloud or hybrid inference.
Optimise models for device constraints.
Secure and monitor smart-device fleets.
Develop an operational IoT-AI roadmap.

Course Content

Day 1: AI-Enabled IoT Architecture

IoT and smart-device use cases
Sensors, gateways and cloud services
Edge, cloud and hybrid intelligence
Connectivity and latency requirements
Device constraints and data ownership
IoT-AI architecture workshop

Day 2: Sensor Data Engineering

Sampling and time synchronisation
Noise, missingness and sensor faults
Streaming windows and aggregation
Temporal and frequency features
Event labels and operating context
Sensor-data laboratory

Day 3: Machine Learning for Connected Devices

Device anomaly detection
Condition and event classification
Sensor forecasting
Predictive maintenance applications
Model evaluation across devices
IoT-model development laboratory

Day 4: Edge Intelligence and Integration

Compact models and feature pipelines
Quantisation and runtime optimisation
Streaming inference and messaging
Device–gateway–cloud coordination
Real-time actions and fallback rules
Edge-inference laboratory

Day 5: Security and Fleet Operations

Device identity and access control
Model and firmware updates
Fleet performance and drift monitoring
Privacy and local-data protection
Energy and lifecycle management
Capstone smart-device solution

Training Schedule

Below is the table of cities along with the respective dates for the upcoming training sessions of AI for Internet of Things and Smart Devices 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.