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Snowflake SnowPro Advanced — Data Scientist
Build and deploy ML models within Snowflake using Snowpark for Python and Notebooks.
For: Data scientists targeting the Snowflake SnowPro Advanced Data Scientist certification
4.8 · 260 learners · Advanced ·Starting 30 Aug 2026
Batch Schedule
| Batch Type | Schedule | Duration | Next Start Date | Availability |
|---|---|---|---|---|
| Weekend | Sat & Sun, 10am–1pm | 10 weeks | 30 Aug 2026 | Available |
Course Curriculum
4 modules · 90 hours · 36 live sessions
ML Environment on Snowflake 8 sessions
- Snowflake Notebooks
- Snowpark setup
- Data ingestion
- Feature engineering
Model Training with Snowpark 10 sessions
- scikit-learn in Snowpark
- Model Registry
- Hyperparameter tuning
- Evaluation
Cortex ML & Deployment 10 sessions
- Cortex ML Functions
- Forecasting
- Anomaly detection
- Model deployment
Certification Prep 8 sessions
- Exam domains
- MLOps on Snowflake
- Practice exams
- Capstone
Tools You'll Learn
Snowflake Snowpark Snowflake Notebooks Cortex ML scikit-learn Python MLflow
Frequently Asked Questions
Is ML experience required?
Intermediate Python and basic ML (scikit-learn) experience is expected.
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