MLOps and Machine Learning Model Deployment Course

Master MLOps and model deployment, including production architecture, automated release, monitoring, retraining and operational governance.

Artificial Intelligence and Machine Learning Courses Confirmed

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

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

A machine-learning model creates value only when it performs reliably inside a real operational system. Differences between development and production data, fragile dependencies, uncontrolled releases and weak monitoring can quickly turn an accurate experiment into an unreliable service. MLOps provides the engineering, governance and operating discipline needed to deploy models repeatedly and manage them throughout their lifecycle.

This five-day course develops practical competence in machine-learning deployment and MLOps. Participants will design production architectures, package and release models, automate validation, monitor performance and establish retraining and incident controls. The course is designed for professionals responsible for moving models from notebooks into dependable business operations.

Objectives

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

Translate model requirements into production service designs.
Package models with reproducible dependencies and interfaces.
Build automated validation and release pipelines.
Apply model registries and controlled promotion.
Monitor service, data and model performance.
Define retraining, rollback and incident procedures.
Control security, cost and operational ownership.
Design an end-to-end MLOps operating model.

Course Content

Day 1: Production Machine-Learning Architecture

Experimental versus production machine learning
Model requirements and service contracts
Batch, streaming and real-time inference
Data, feature and model lineage
Reproducibility and version control
Deployment-architecture design workshop

Day 2: Packaging and Model Serving

Model serialisation and dependency control
Inference APIs and batch services
Containers and runtime environments
Preprocessing and feature parity
Scalability, latency and throughput
Model-serving implementation laboratory

Day 3: Automated Delivery and Release

CI, CD and continuous training
Data, code and model testing
Pipeline orchestration and scheduling
Model registries and approval gates
Shadow, canary and staged releases
Automated release-pipeline exercise

Day 4: Monitoring and Model Maintenance

Service health and inference monitoring
Data quality and distribution drift
Outcome performance and calibration
Alert thresholds and diagnostic evidence
Retraining triggers and challenger models
Rollback and recovery procedures

Day 5: Reliability, Governance and Operations

Access control and model security
Audit trails and lifecycle documentation
Infrastructure cost and capacity planning
Ownership and incident management
Validation and governance integration
Capstone MLOps operating-model design

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.