This section of the repo contains Python code to accompany the videos that show how to use Prefect for MLOps. We will create workflows that you can orchestrate and observe.
![](/saharseidi/mlops-zoomcamp/raw/main/03-orchestration/images/thumbnail-3-01.jpg)
![](/saharseidi/mlops-zoomcamp/raw/main/03-orchestration/images/thumbnail-3-02.jpg)
![](/saharseidi/mlops-zoomcamp/raw/main/03-orchestration/images/thumbnail-3-03.jpg)
![](/saharseidi/mlops-zoomcamp/raw/main/03-orchestration/images/thumbnail-3-04.jpg)
![](/saharseidi/mlops-zoomcamp/raw/main/03-orchestration/images/thumbnail-3-05.jpg)
![](/saharseidi/mlops-zoomcamp/raw/main/03-orchestration/images/thumbnail-3-06.jpg)
More information here.
In a conda environment with Python 3.10.12 or similar, install all package dependencies with
pip install -r requirements.txt
Create another window and activate your conda environment. Start the Prefect API server locally with
prefect server start
Signup and use for free at https://app.prefect.cloud
Authenticate through the terminal with
prefect cloud login
Use your Prefect profile to switch between a self-hosted server and Cloud.
Did you take notes? Add them here:
- Prefect local deployment using Google Cloud Storage as data storage
- Notes/Blog posts by Sagar Thacker
- Send a PR, add your notes above this line
To read the notes from the previous edition, see here