Production Ready Machine Learning

21 May, 2024Amsterdam, The Netherlands

3 days
In Person
Data and AI
Data Engineering
Data Science
Machine Learning
Python
Software Development
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.

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Looking to upskill your team(s) or organization?

Diego will gladly help you further with custom training solutions.

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Duration

3 days

Time

09:00 – 17:00

Language

English

Lunch

Included

Certification

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)

What else
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!

Course information

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

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