Production Ready Machine Learning

25 september, 2024Amsterdam, The Netherlands

3 days
In Person
Data Engineering
Data Science
Gegevens en AI
Machine Learning
Python
Software Ontwikkeling
Software Testing

This practical three-day training will give you the skills to bring your machine-learning models into production. We will teach you how to go from notebooks to packages. You will learn best practices for managing your code, including advanced Python features that help Data and Machine Learning (ML) Engineers make sure their code is readable, maintainable, and scalable.

Book this training

Registreer je nu

Looking to upskill your team(s) or organization?

Rozaliia will gladly help you further with custom training solutions.

Rozaliia Khafizova
Data and AI Training Advisor


+31 6 11 58 19 37

Rozaliia.Khafizova@xebia.com
linkedin.com/in/rozaliya-k

Get in touch

Duur

3 days

Tijd

09:00 – 17:00

Taal

English

Lunch

Included

Certificering

No

Level

Professional

What will you learn?

After the training, you will be able to:

Understand what it means for a project to be production-ready

Write robust Python code that is easy to extend, debug, monitor and test

Refactor code from notebooks into a high-quality Python package with Poetry for your machine learning projects that is easy to share, collaborate and deploy

Serve your models with APIs and CLIs

Program

This training combines conceptual explanations, practical exercises, and a capstone project, which touch upon the most relevant aspects of production-ready applications. If you follow this training, you will learn in a very interactive setting the most modern approaches and best practices to develop machine learning code in a robust, safe, scalable, and easy-to-maintain way. 

  • What is production-ready code?
  • Best practices for code organization: going from jupyter notebooks to using and developing packages with poetry
  • Writing high quality code and implementing automatic quality checks with ruff and pre-commit
  • Object-oriented programming (OOP) in python

This training is for you if:

You want to know how to refactor code from notebooks into mature Python packages

You want to enhance the quality of your code and use current industry-standard tools

You want to be able to collaborate better on projects with your colleagues

You are a Data Scientist, Analysts or Engineer and spend your working hours developing Python-based solutions

This training is not for you if:

You don’t have basic Python experience, which is required (check out our Python for Data Analysis course instead)

You have never used Git or you have never used a shell/terminal before.

You are looking to enhance your machine learning knowledge (check out the Certified Data Science with Python or the Advanced Data Science with Python trainings)

You want to study in-depth about data pipelines or about deploying on specific cloud environments (check out the ML System Design or MLOps trainings)

Also interesting for you

View all training courses
Data & AI Summer School – Expand your Data & AI skills

Xebia Data Summer School: Make the most of your summer and elevate your Data and AI skills – 1 week, 12 courses

Data Analytics
Data Science
Data Storytelling
dbt
Docker
Generatieve AI
PowerBI
Python
SQL
Bekijk training
Data Visualization with Python

Learn all about creating data visualisations in Python! We’ll guide you through four plotting libraries in Python and provide you with the pros and cons of each.

data visualization
Python
Bekijk training
LLMOps on Azure

Dive into the practical aspects of deploying and managing Large Language Model (LLM) applications with Azure.

Gegevens en AI
GenAI
Microsoft Azure
Bekijk training
LLMOps on GCP

Dive into the practical aspects of deploying and managing Large Language Model (LLM) applications with the Google Cloud Platform (GCP).

Gegevens en AI
GenAI
Google Cloud Platform (GCP)
Bekijk training
MLOps on AWS

Discover what MLOps is and how you can apply it in AWS (Amazon Web Services) with our MLOps on AWS training course.

AWS
Cloud
Data Engineering
Gegevens en AI
Machine Learning
Bekijk training

Can’t find the course you’re looking for? There’s more!