Machine Learning in Production
In this course, you will learn the best practices for managing machine learning experiments and models with MLflow. There are two main components in this course: (i) using MLflow to track the machine learning lifecycle, package models for deployment, and manage model versions (ii) examining various production issues, different deployment paradigms, and post-production concerns. By the end of this course, you will have built an end-to-end pipeline to log, deploy, and monitor machine learning models.
Outline
Day 1
- ML in production overview
- Data management with Delta and Databricks Feature Store
- Experiment tracking and versioning with MLflow Tracking
- Model management with MLflow Models and Model Registry
- Automated testing with webhooks
- Deployment paradigms
- Monitoring and CI/CD
Upcoming Public Classes
Date | Time | Language | Price |
---|---|---|---|
Dec 12 - 13 | 09 AM - 01 PM (Australia/Sydney) | English | $1000.00 |
Dec 12 | 09 AM - 05 PM (Europe/Paris) | English | $1000.00 |
Dec 18 | 09 AM - 05 PM (America/New_York) | English | $1000.00 |
Dec 23 - 24 | 09 AM - 01 PM (Asia/Singapore) | English | $1000.00 |
Jan 10 | 09 AM - 05 PM (Asia/Kolkata) | English | $1000.00 |
Jan 10 | 09 AM - 05 PM (Europe/Paris) | English | $1000.00 |
Jan 10 | 09 AM - 05 PM (America/Los_Angeles) | English | $1000.00 |
Jan 13 - 14 | 09 AM - 01 PM (Asia/Kolkata) | English | $1000.00 |
Jan 15 | 09 AM - 05 PM (Europe/Paris) | English | $1000.00 |
Jan 28 | 09 AM - 05 PM (Europe/London) | English | $1000.00 |
Feb 05 | 09 AM - 05 PM (Europe/Paris) | English | $1000.00 |
Feb 12 - 13 | 01 PM - 05 PM (America/New_York) | English | $1000.00 |
Feb 14 | 09 AM - 05 PM (Europe/Paris) | English | $1000.00 |
Feb 19 | 09 AM - 05 PM (America/Los_Angeles) | English | $1000.00 |
Feb 20 | 09 AM - 05 PM (Australia/Sydney) | English | $1000.00 |
Feb 27 - 28 | 11 AM - 03 PM (Asia/Singapore) | English | $1000.00 |
Public Class Registration
If your company has purchased success credits or has a learning subscription, please fill out the Training Request form. Otherwise, you can register below.
Private Class Request
If your company is interested in private training, please submit a request.
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