On Demand Workshop
Production-Ready Machine Learning: From Notebooks to Python Packages
Elevate Your ML Code
Learn how to transition from notebook-based workflows to Python packages, resulting in code that is modular, robust, maintainable, scalable, and deployment-ready.
Date
On-Demand
Location
Online
Language
English
Speakers
1
Key Topics Covered
Defining production-ready projects
Migrating from notebooks to packages
Implementing automatic code-quality checks
Serving ML applications with FastAPI
Who Should Watch Production-Ready ML Workshop:
This session is tailored for professionals who:
- Regularly use Python in machine learning, data science, analytics, or related fields
- Seek best practices for developing, testing, and deploying scalable ML applications
- Primarily work with notebooks and wish to structure projects using Python packages
About the trainer
David brings a background in mathematical psychology, utilizing statistics and data science to study human behavior. His passion for software development and extensive teaching experience make him an ideal guide for this workshop.
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Don’t miss this opportunity to enhance your skills and advance your career. Access the on-demand “Production-Ready Machine Learning” workshop today.
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