ML Starter Bundle

$380 $149

The complete ML Starter Kit — all 10 products in one package. Everything an ML engineer needs to go from notebook prototypes to production-grade machine learning systems. Save 61%.

🎁 10 products💰 Save $231🏷 v1.0.0

BundleMLOpsPythonProduction-Ready

🎁 What's Included 10 products

#	Product	Value
1	MLflow Starter Kit — Experiment tracking, model registry, deployment configs	$39
2	Model Serving Templates — FastAPI/Flask serving, batched inference, A/B testing	$49
3	Feature Store Bootstrap — Feast-based feature store, engineering pipelines	$39
4	Experiment Tracking Pack — W&B, MLflow, custom dashboards, metrics comparison	$29
5	ML Pipeline Templates — End-to-end pipelines: ingestion to deployment	$49
6	Model Validation Framework — Testing, drift detection, performance monitoring	$39
7	Hyperparameter Tuning Kit — Optuna/Ray Tune configs, search spaces, pruning	$29
8	ML Data Versioning — DVC setup, pipeline versioning, reproducibility	$29
9	GPU Training Toolkit — Multi-GPU, mixed precision, distributed training	$39
10	ML Monitoring Suite — Dashboards, alerts, data quality, performance tracking	$39
	Individual total	$380
	Bundle price	$149

📖 Documentation Preview README excerpt

Who Is This For

ML engineers transitioning from notebooks to production systems
Data scientists who need production-grade infrastructure patterns
MLOps teams building standardized tooling across their organization
Teams adopting ML best practices for the first time

What You Get

Each product includes:

Detailed architecture overview and setup guide (100-150 pages of documentation)
Production-ready configuration templates
Architecture patterns with trade-off analysis
Pre-deployment checklists
Example configs you can customize for your environment

Recommended Learning Path

1. MLflow Starter Kit          → Set up experiment tracking
2. Experiment Tracking Pack    → Expand tracking with W&B + dashboards
3. ML Data Versioning          → Version your data and experiments
4. Feature Store Bootstrap     → Organize feature engineering
5. ML Pipeline Templates       → Build end-to-end pipelines
6. Model Validation Framework  → Add testing and validation gates
7. Hyperparameter Tuning Kit   → Optimize model performance
8. GPU Training Toolkit        → Scale training to GPUs
9. Model Serving Templates     → Deploy models to production
10. ML Monitoring Suite        → Monitor production models

Support

For questions or issues, contact: https://github.com/datanest-digital/support/issues

License

Buy Bundle — $149 Back to Products