Machine Learning Model Development
Databricks
Last updated June 30, 2026
Machine Learning Model Development is a free, two-hour, hands-on course on building traditional machine learning models — the well-established kind, not generative ones. Using common libraries on the Databricks platform, you work through the development workflow: setting a model up, training it, and iterating toward something that performs. It's practical throughout, assuming you can write Python and know basic machine learning concepts, and it suits someone ready to move from understanding models to actually developing them.
What you'll learn
- The development workflow for a traditional machine learning model
- Working with common machine learning libraries in Python
- Setting up, training, and iterating on a model
- Practical, hands-on model building rather than theory
- Doing it on the Databricks platform
Frequently asked questions about Machine Learning Model Development
Who is Machine Learning Model Development for?
Developers with Python and basic machine learning knowledge who want hands-on practice developing traditional machine learning models with common libraries.
Is Machine Learning Model Development free?
Yes — Machine Learning Model Development is completely free to take.
What are the prerequisites for Machine Learning Model Development?
Python; basic machine learning; familiarity with Databricks. A free Databricks Academy account is required to start.
Do you need to code for Machine Learning Model Development?
Yes — Machine Learning Model Development involves hands-on coding.
Why we suggest this course
A hands-on workflow for building classic machine learning models with familiar libraries, for developers ready to move from theory to a model they've trained themselves. One thing to know: the exercises are set on Databricks and need a free Academy account, so the workflow reflects that environment.