Course code: NP1891
Master scalable machine learning with Azure Databricks, a powerful cloud-based platform built on Apache Spark. This intermediate-level course equips data scientists and ML engineers to build, train, and deploy models using open-source frameworks and integrated tools like MLflow and AutoML.Professional
and certified lecturers
Internationally
recognized certifications
Wide range of technical
and soft skills courses
Great customer
service
Making courses
exactly to measure your needs
Starting date: Upon request
Guaranteed
Type: Self-paced
Course duration: 8 hours
Language: en
Price without VAT: 285 EUR
Starting date: Upon request
Guaranteed
Type: Self-paced
Course duration: 8 hours
Language: en
Price without VAT: 75 EUR
| Starting date |
Place |
Type | Course duration |
Language | Price without VAT | ||
|---|---|---|---|---|---|---|---|
| G | Upon request | Self-paced | 8 hours | en | 285 EUR | Register | |
| G | Upon request | Self-paced | 8 hours | en | 75 EUR | Register | |
| G | Guaranteed course | ||||||
Create scalable workflows using Databricks and Spark.
Use ML frameworks for training and performance checks.
Streamline hyperparameter tuning and model choice.
Put models into production and track performance.
Module 1: Explore Azure Databricks
Module 2: Use Apache Spark in Azure Databricks
Module 3: Train a machine learning model in Azure Databricks
Module 4: Use MLflow in Azure Databricks
Module 5: Tune hyperparameters in Azure Databricks
Module 6: Use AutoML in Azure Databricks
Module 7: Train deep learning models in Azure Databricks
Module 8: Manage machine learning in production with Azure Databricks
