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Dataiku MLOps

Putting Dataiku into production

Put your projects into production with Dataiku. This course covers the fundamentals of project automation and deployment on Dataiku production environments.

Dataiku MLOps

1500€
Paris and remote
9 h
Next session

On request

Jules Bertrand

Senior Data Scientist




@jules-bertrand
Jules is a certified Dataiku Trainer. At Artefact, he has worked with major companies on a range of subjects, from business intelligence to the production of machine learning models using the Dataiku platform.

Course description

Learn from an Artefact expert how to deploy your Dataiku projects in production. Designed for advanced users of the solution, this course will enable you to automate a machine learning project, then deploy it in production on the automation and API nodes. At the end of the course, you will have acquired the skills needed to obtain Dataiku's official MLOps certification.

Objectives

At the end of this course, which combines theory, interactive exercises with Dataiku, and guided case studies, you will be able to :

Implement an automatic process for checking the quality of your data

Automating a project

Deploying a project in production, using automation or APIs

Public

Data scientists and data analysts who have to put projects into production, data engineers, IT specialists.

Prerequisites

To have obtained the official Core Designer, ML Practitioner and Advanced Designer certifications, or an equivalent level.

Evaluation

Passing the official MLOps Practitioner certification.

Program

Dataiku MLOps

Measuring data quality with metrics

Check the quality of the data with the checks

Automating a project with scenarios

Scenario triggers

What is the automation node?

Why deploy a project on the automation node?

Creating a project bundle

Publish a bundle on the Deployer node

Pushing a bundle into production on the automation node

Monitoring a project in production

What is the API node?

Why deploy an API node model?

Creating an endpoint from a machine learning model

Other types of endpoint

Testing your endpoints

Creating an API package

Deploying an API service on the API node

Monitor an API service

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FAQ

Do you have any other questions about Artefact School of Data? We'd love to hear from you.

What is the training format?

You choose the format! Training can be face-to-face, distance learning or hybrid! Everything is designed so that you can follow the course from our classroom or from home, as you wish. We've made this choice to optimise your learning during the course.

What support is there to help you find a job?

Every day, our students have the opportunity to work alongside Artefact employeesone of the leaders in Data. This means that every day, they meet Data Scientists, Analysts and Engineers who make up their professional network and increase their chances of securing a future position with Artefact or with a partner.

Who are the teachers?

Your teachers are Data Scientists, Analysts or Senior Engineers by trade. This is very important to us, because they work at the very heart of one of the leaders in Data: Artefact. This means that the tutors are in daily contact with Artefact customers and are responding to real, topical issues in the field. Our training courses are therefore designed around what they experience on a daily basis.

How do I apply for the course?

The registration process is very simple: you apply directly for a course, explaining your choice and describing your career path. You can also download our full programme and then make an appointment with us.