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.
Check our Machine Learning Courses
Create data visualizations in Python using several different libraries.
Build a solid foundation of data warehousing and modeling with this training. You’ll learn everything about data warehouse architectures, formal data modeling, performance tuning and more.
Register now
Don’t miss this opportunity to enhance your skills and advance your career. Access the on-demand “Production-Ready Machine Learning” workshop today.
Feel free to contact us. We’re happy to help!
