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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
On request
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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
1. PREPARING FOR PRODUCTION LAUNCH
4 hours
Measuring data quality with metrics
Check the quality of the data with the checks
Automating a project with scenarios
Scenario triggers
2. PRODUCTION START-UP ON THE AUTOMATION NODE
2 hours
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
3. DEPLOYING A MODEL ON THE API NODE
2 hours
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 difference between Artefact School of Data and other courses?
World-renowned learning and a unique educational experience. More than 4,000 students worldwide have been trained by our Artefact business experts. You benefit from immersion training with one of the world leaders in Data, who will share his expertise with you. Every day, you will learn from real-life case studies carried out with some of the world's leading companies.
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.