MLOps
| Blog | Overview |
|---|---|
| 1. MLOps | Introduction |
| 2. Scoping | The Importance of Scoping in MLOps: A Guide for ML Engineers |
| 3. Introduction to GitHub | Basics, Terminology |
| 4. Docker Container | Importance, Components, and Benefits |
| 5. Experiment Tracking | Importance, Components, and Benefits |
| 6. Data Version Control(DVC) | Introduction to DVC |
| 7. Airflow | Introduction to Airflow |
GitHub
| Lab | Overview |
|---|---|
| GitHub Lab-1 | GitHub Actions and Workflows, tests with pytest and unittest |
| GitHub Lab-2 | GitHub Actions - Automating model training, storing and versioning. |
MLflow
| Lab | Overview |
|---|---|
| MLflow Lab-1 | MLflow - Experiments and Runs |
| MLlow Lab-2 | MLflow - Model Registration, Batch Inference |
DVC and Airflow
| Lab | Overview |
|---|---|
| DVC and Airflow Lab-1 | Using DVC, Airflow, Docker, DAGs. |