Edge AI and Embedded Machine Learning Solutions Course

Explore Edge AI and embedded machine learning, mastering techniques to deploy intelligent solutions directly on devices for real-time decision-making.

Artificial Intelligence and Machine Learning Courses Confirmed

Training Locations

This Edge AI and Embedded Machine Learning Solutions 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

The "Edge AI and Embedded Machine Learning Solutions" course is designed to provide professionals with a comprehensive understanding of how AI can be integrated into edge devices and embedded systems. Over five days, participants will gain both theoretical knowledge and practical skills needed to deploy efficient machine learning models on constrained hardware platforms. This course is ideal for engineers, developers, and data scientists looking to expand their expertise in this rapidly evolving domain.

Objectives

Understand the fundamentals of Edge AI and its applications.
Learn the architecture and operation of embedded machine learning solutions.
Explore various hardware and software tools for deploying AI at the edge.
Design and implement efficient AI models on edge devices.
Analyze the challenges and future trends in edge AI and embedded machine learning.

Course Outlines

Day 1: Introduction to Edge AI

Overview of Edge AI and its significance
Comparing Edge AI with cloud-based AI
Real-world applications and case studies
Hardware platforms for Edge AI
Challenges and opportunities in deploying Edge AI

Day 2: Embedded Systems for AI

Basics of embedded systems and microcontrollers
IoT and its role in Edge AI
Power constraints and efficiency in embedded systems
Design considerations for AI on embedded systems
Hands-on lab: Setting up an embedded system environment

Day 3: Tools and Frameworks

Overview of AI software frameworks
Introduction to TensorFlow Lite and PyTorch Mobile
Using ONNX Runtime for model deployment
Toolchains and compilers for embedding AI models
Hands-on lab: Converting models for edge deployment

Day 4: Designing and Deploying Models

Model compression techniques for edge deployment
Quantization and pruning techniques
Real-time data processing on edge devices
Strategies for edge model optimization
Hands-on lab: Deploying a machine learning model on an edge device

Day 5: Challenges and Future Trends

Security and privacy concerns in Edge AI
Maintaining accuracy in constrained environments
AI model lifecycle management on edge devices
Future trends in Edge AI and embedded machine learning
Capstone project: Design a complete AI solution for an edge use case

Training Schedule

Below is the table of cities along with the respective dates for the upcoming training sessions of Edge AI and Embedded Machine Learning Solutions 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.