Production Ready Machine Learning
21 May, 2024 – Amsterdam, The Netherlands
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.
09:00 – 17:00
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
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.
should I know?
After registering for this training, you will receive a confirmation email with practical information. A week before the training, the trainer will get in touch to ask you about any requirements you may have and any pre-course tasks you will need to do.
See you soon!
All literature and course materials are included in the price
After registering for this course, you will receive a confirmation email with practical information
This course requires a laptop
Online courses are delivered via Zoom or Microsoft Teams
Meet the Trainers
David has a background in mathematical psychology, where he used statistics and data science to study human behavior. He also has a passion for software development and multiple years of experience teaching about technical topics.
Meet Nitin Bhushan, trainer at Xebia Data. Nitin is a data scientist and teaches many data and AI related skills.
Meet Enrico, a data science trainer at Xebia Academy with a passion for Deep Learning and Statistics. Get to know him here.
Also interesting for youView all training courses
Delve into the world of Large Language Models (LLMs) and state-of-the-art generative AI.
This MLOps on Azure training is then a perfect next step if you’d like like to take your Machine Learning models further.
7 Oct, 2024
Transform into a certified Data Scientist in just 12 weeks. This boot camp will kick-start your Data Science career with Python.
Learn how to extract insights, interpret seasonality and build forecasting models from time series data.