Machine learning
Free
Data Science: Building Machine Learning Models
with Harvard
Part of Harvard's Data Science certificate track.
Intermediate 40h Certificate
Full Stack Deep Learning
Taking models from notebook to production.
Most courses stop at the model. This one starts where they stop: how to set up a project, manage the data, deploy the thing, and keep it working once real traffic hits it.
with UC Berkeley
Listed by AI Review Rating. We are not affiliated with UC Berkeley and earn nothing from this link.
Course overview
Published by the Full Stack team out of UC Berkeley, it is aimed at people who can already train a model and now have to ship one.
What you will learn
- Set up a deep learning project so it stays reproducible
- Manage, label and version data as a first-class part of the system
- Test and troubleshoot models before they reach production
- Deploy a model and monitor what happens to it afterwards
Who this course is for
ML engineers
you can train a model and now have to run one
Product teams shipping AI
the operational half nobody taught you
Course details
FormatRecorded lectures, labs and project work
LevelAdvanced
PriceFree
Time30 hours
CertificateNo certificate
About UC Berkeley
The Full Stack team, out of UC Berkeley, teaches the operational half of machine learning: project setup, data management, deployment and monitoring, for people who can already train a model.
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