β
Officially certified in Databricks Machine Learning Associate
π
Passed: July 2025
π LinkedIn Post
This repository contains notebooks I completed while preparing for the Databricks Machine Learning Associate Certification.
Each notebook showcases key workflows in ML model development, deployment, and MLOps using Databricks tools and PySpark.
- β PySpark & Pandas for ML
- β ML Pipelines & Feature Engineering
- β AutoML Training & Evaluation
- β MLflow Tracking & Model Registry
- β Batch Model Deployment
- β LakeFlow Jobs & Job Orchestration
databricks-ml-cert-practice/
β
βββ 01_data_preparation/
β βββ build_a_feature_engineering_pipeline.ipynb
β βββ feature_engineering_with_feature_store.ipynb
β
βββ 02_model_development/
β βββ model_development_tracking_with_mlflow.ipynb
β βββ automl.ipynb
β
βββ 03_model_deployment/
β βββ batch_deployment.ipynb
β βββ deploying_models_with_jobs_and_the_databricks_cli.ipynb
β
βββ 04_mlops_workflows/
β βββ creating_and_managing_lakeflow_jobs_using_ui.ipynb
β βββ lakeflow_jobs_ui_readme.md
| Certification | Platform | Passed |
|---|---|---|
| π§΅ Microsoft Fabric Data Engineering Associate | Microsoft Learn | June 2025 |
| πΆ Databricks Machine Learning Associate | Databricks Academy | July 2025 |
Devesh Rai
- π§ deveshrai162@gmail.com
- πΌ LinkedIn
- π¨βπ B.E. Computer Engineering | TCET (2021β2025)
If this helped you in your ML journey, feel free to:
- βοΈ Star the repo
- π΄ Fork it
- π Share it with other learners