Want to 𝗹𝗲𝗮𝗿𝗻 𝗠𝗟 & 𝗠𝗟𝗢𝗽𝘀 𝗶𝗻 𝗮 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝘄𝗮𝘆? After 6 months of work, I finally finished 𝘛𝘩𝘦 𝘍𝘶𝘭𝘭 𝘚𝘵𝘢𝘤𝘬 7-𝘚𝘵𝘦𝘱𝘴 𝘔𝘓𝘖𝘱𝘴 𝘍𝘳𝘢𝘮𝘦𝘸𝘰𝘳𝘬 Medium series.

In 2.5 hours of reading & video materials, you will learn how to:
- design a batch-serving architecture
- use Hopsworks as a feature store
- design a feature engineering pipeline that reads data from an API
- build a training pipeline with hyper-parameter tunning
- use W&B as an ML Platform to track your experiments, models, and metadata
- implement a batch prediction pipeline
- use Poetry to build your own Python packages
- deploy your own private PyPi server
- orchestrate everything with Airflow
- use the predictions to code a web app using FastAPI and Streamlit
- use Docker to containerize your code
- use Great Expectations to ensure data validation and integrity
- monitor the performance of the predictions over time
- deploy everything to GCP
- build a CI/CD pipeline using GitHub Actions
- trade-offs & future improvements discussion

#machinelearning #course #mlops