MLOps and Machine Learning Model Deployment Course

Learn to streamline your ML workflow through practical MLOps techniques and master the deployment of machine learning models into production environments.

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Training Locations

This MLOps and Machine Learning Model Deployment 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

MLOps and Machine Learning Model Deployment are crucial stages in the machine learning lifecycle that ensure models are efficiently operationalized in production environments. This professional course is designed to equip participants with the skills and knowledge required to streamline, accelerate, and enhance the deployment of machine learning models, integrating principles from DevOps and applying them to machine learning-specific contexts.

Objectives

Understand the fundamentals of MLOps and its significance in machine learning projects.
Learn about various tools and platforms for model deployment.
Gain insights into best practices for versioning, monitoring, and maintaining deployed models.
Explore automated workflows for continuous integration and continuous deployment (CI/CD) of ML models.
Build hands-on experience with real-world MLOps pipelines and model deployment strategies.

Course Outlines

Day 1: Introduction to MLOps

Overview of MLOps and its lifecycle
Comparison of DevOps and MLOps
Challenges and solutions in operationalizing ML models
Tools and platforms for MLOps
Setting up a development environment for MLOps

Day 2: Model Development and Experimentation

Version control and reproducibility in ML projects
Data management and feature engineering
Model training, tuning, and selection
Experiment tracking and management
Hands-on lab: Building an initial ML model pipeline

Day 3: Model Deployment Fundamentals

Introduction to model deployment strategies
Containerization with Docker
Using cloud platforms (AWS, GCP, Azure) for deployment
Serving models with REST APIs and microservices
Hands-on lab: Deploying a simple model to a cloud platform

Day 4: Automation and CI/CD in MLOps

Principles of Continuous Integration, Delivery, and Deployment
Automating ML workflows with Jenkins, GitHub Actions, or GitLab CI
Monitoring, logging, and alerting in deployed ML models
Rollback strategies and model versioning
Hands-on lab: Building a CI/CD pipeline for ML models

Day 5: Advanced Topics and Future of MLOps

Advanced model deployment techniques (e.g., canary and blue-green deployments)
Ethics, bias, and fairness in MLOps
Security and compliance considerations in MLOps
Exploring edge deployments and real-time inference
Future trends and the evolving landscape of MLOps

Training Schedule

Below is the table of cities along with the respective dates for the upcoming training sessions of MLOps and Machine Learning Model Deployment 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.