Automated Machine Learning Tools and Best Practices Course

Explore the essentials of automated machine learning, focusing on tools, techniques, and best practices to streamline and enhance your model-building process.

Artificial Intelligence and Machine Learning Courses Confirmed

Training Locations

This Automated Machine Learning Tools and Best Practices 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

This 5-day professional course on Automated Machine Learning (AutoML) Tools and Best Practices is designed to equip participants with the understanding and practical skills necessary to leverage AutoML in their data projects. Through a combination of lectures, hands-on activities, and case studies, attendees will learn to select, implement, and optimize various AutoML tools and frameworks for efficient and accurate machine learning model building.

Objectives

Understand the fundamentals and importance of Automated Machine Learning.
Explore various AutoML tools and their applications.
Learn best practices and strategies for implementing AutoML in projects.
Gain hands-on experience with leading AutoML platforms and frameworks.
Develop skills for evaluating and optimizing AutoML solutions.

Course Outlines

Day 1: Introduction to Automated Machine Learning

Overview of Machine Learning and its Challenges
Introduction to Automated Machine Learning (AutoML)
Benefits and Limitations of AutoML
Key Components of AutoML Systems
Use Cases and Industry Applications

Day 2: AutoML Tools Overview

Introduction to Popular AutoML Tools: H2O.ai, Google Cloud AutoML, Auto-sklearn
Capabilities and Features of AutoML Tools
Comparative Analysis of Different AutoML Solutions
Choosing the Right Tool for Your Project Needs
Installation and Setup of AutoML Tools

Day 3: Implementing AutoML in Projects

Data Preparation and Feature Engineering for AutoML
Getting Started with H2O.ai AutoML
AutoML Workflow and Processes
Real-world Case Study: AutoML in Action
Troubleshooting Common Issues in AutoML

Day 4: Best Practices and Optimization Strategies

Understanding AutoML Model Outputs and Interpretability
Strategies for Model Evaluation and Validation
Hyperparameter Tuning in AutoML
Leveraging Ensemble Techniques for Better Performance
Continuous Learning and Model Updating

Day 5: Advanced Topics and Future of AutoML

Introduction to Neural Architecture Search (NAS)
Explainable AI (XAI) in the Context of AutoML
Scaling AutoML for Big Data and Cloud Integration
Ethical and Responsible AI with AutoML
Future Trends and Developments in AutoML

Training Schedule

Below is the table of cities along with the respective dates for the upcoming training sessions of Automated Machine Learning Tools and Best Practices 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.